Well, it’s been a few weeks coming and we know all our entrants have been on the edge of their seats…

91探花 is excited to officially announce the winners of our US50 2026!

Founded in 2016, 91探花 is the UK鈥檚 best-known and fastest-growing startup and tech news site. This聽is where decision-makers, investors and startups of all sizes and nature come to find out the latest developments and trends within the industry.

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Feedback From The Judges

The standout theme this year was AI applied to industries that resist software rather than AI applied to software itself. Construction was the clearest example: Buildots, Primepoint, Trayd and Spacial each solved a specific, unglamorous, expensive problem and had customers to prove it. The deep-tech entries were exceptional: SandboxAQ’s $500M CHIPS award, Sakuu’s dry-printed battery electrodes and memQ’s quantum networking are genuinely hard science. The best entries led with evidence. My favourite of the whole field was ShieldCart, two non-engineers built a checkout that quietly protects a parent with dementia. Small, early, and the most humane idea here.

Usman Adekunle Balogun, Co-Founder of & Breet; Board Governor, Sporting Clube de Esmoriz (SC Esmoriz)

The entries I rated highest were rarely the biggest. They were the ones where a founder had learned something expensive and visibly changed course because of it. Maestra rebuilt its business model after finding customers used a third of the product. Winventory ran the service by hand before writing any code. Drata spoke to dozens of companies and auditors before writing a line, then refused to sell until it had used the product itself. Trayd and Go X paired that instinct with commercial clarity. I marked down inflated traction, and rewarded founders honest about what they had not proved.

Subomi Oluwalana, Engineering Leader and Entrepreneur, Founder and CEO of Convoy

Evaluating the US50 contenders reveals two transformative market forces redefining American industry.

First, there is a striking concentration in organizing construction. Innovators are digitizing the physical built environment through AI schedule analytics, computer vision jobsite tracking, automated trade payroll, and 3D reality capture, turning fragmented site data into measurable operational predictability.

Separately, enterprise AI has decisively matured from experimental copilots into mission-critical infrastructure. Standout entrants deploy autonomous multi-agent orchestration, continuous compliance governance, real-time log telemetry, and governed financial data layers.

Together, these 50 finalists demonstrate defensible, high-ROI solutions tackling massive productivity bottlenecks across America’s physical and digital economies.

, Tech Entrepreneur, Venture Studio Founder

I was impressed by the range and practical ambition across this year鈥檚 entries. The strongest companies paired a clearly defined problem with credible evidence of adoption, measurable outcomes, and a defensible route to scale. SandboxAQ stood out for me for applying quantitative AI to difficult scientific and national-security problems, while Sakuu鈥檚 dry-printed battery platform showed exceptional industrial and environmental potential. Rogervoice combined mature technology with meaningful accessibility impact, and Dexory demonstrated how robotics and AI can improve critical supply chains at scale. I also liked the human-centred thinking behind Kalogon, Foyer, and Sage Haven. Overall, the best entries used technology to create durable customer value, not simply to follow a trend.

Kayode Tayo Faturoti,聽Co-Founder of , Breet & Homevy; Chief AI Officer, Liners

This round of US50 entries was exceptionally strong. The standouts made their case quickly and clearly: what they do, who they serve, and the size of the opportunity. They articulated specific market value backed by real traction and credible validation. Most importantly, they represent some of the most compelling technology being built in and for the U.S. today – teams solving hard problems with clear use cases, differentiated products, and disciplined execution. These are founders platforms with the potential to reshape how industries operate over the next decade.

Jeffrey Herzog, Founder and CEO of

I was genuinely impressed by the range and quality of this year鈥檚 entries, particularly how many founders used ambitious technology to solve meaningful, everyday problems. The strongest submissions paired originality with convincing evidence of execution, customer demand and potential for lasting impact. SandboxAQ, Aveta Biomics, Rogervoice, Dexory and Sakuu were especially memorable for combining technical depth with clear commercial or societal value. Go X and memQ also stood out for bold, genuinely differentiated innovation. I appreciated the practical, customer-focused thinking behind Yuka, Hospitable, Trayd and Pie. I ranked several companies 51 because the selected entries demonstrated stronger traction and credible scalability.

Emmanuel Olarewaju David,聽CTO at .

This year’s US50 entries have made one thing clear: impactful innovation is happening in every corner of the country. I specifically chose companies that reflect this breadth, those targeting real-world progress across construction, healthcare, fintech, sustainability and accessibility for all.

The standouts were companies with results to prove their impact: Buildots cutting project delays from 37% to 14%, Rogervoice enabling over 12 million captioned calls for deaf Americans, and Sakuu’s battery manufacturing breakthrough reducing CO2 emissions by 55%. Aveta Biomics entering Phase 3 cancer trials was also a noteworthy highlight.

The best entries for me did more than just innovate for its own sake; they tackled problems that move the needle for everyday people and the US economy at large.

Les-leigh A, Content and Marketing Executive at 91探花

Thank You To Our Judges

Usman Adekunle Balogun

Co-Founder of & Breet; Board Governor, Sporting Clube de Esmoriz (SC Esmoriz)

Usman Balogun is a fintech executive and financial infrastructure strategist with deep expertise in treasury, compliance, and capital allocation. As Co-Founder and former Chief Financial Officer of Cardtonic, he built the treasury systems and unit economics that scaled a $10,000 bootstrapped startup into a platform processing over $100M across Africa.

He is Co-Founder and Managing Director of Breet, where he led the cross-border compliance architecture behind its payment rails, which has processed over $1B. Beyond fintech, he founded Tonic FC and holds a controlling stake in Portuguese club Sporting Clube de Esmoriz, building a compliant football talent pipeline between West Africa and Europe. He鈥檚 a member of the Forbes Technology Council. Having scaled a bootstrapped startup into a high-volume platform, he evaluates startups on the fundamentals that decide whether they last: unit economics, compliance, and operational discipline.

Read more about Usman and what he’s looking out for in US50 entrants here.

Subomi Oluwalana

Engineering Leader and Entrepreneur, Founder and CEO of

Oluwalana Olasubomi is the Founder and CEO of Convoy, an enterprise webhook gateway used by engineering teams to manage reliable event delivery at scale, with an open-source core adopted across fintech, healthcare, and developer-tools companies. Alongside his role as CEO, he remains directly involved in Convoy’s product and engineering decisions. He also works as a Forward Deployed Engineer at Speakeasy, helping enterprises integrate and deploy AI systems, including the governance of AI agents and MCP servers within their internal environments.

His background spans distributed systems, API infrastructure, and developer tooling, and he regularly evaluates early-stage and growth-stage technology products from both a technical and commercial standpoint. This combination of building infrastructure and deploying it directly inside enterprise environments informs his perspective as a judge.

Read more about Subomi and what he’s looking out for in US50 entrants here.

Furkat Kasimov

Tech Entrepreneur, Venture Studio Founder

, is an angel investor with over 20 years of experience building, scaling, and advising technology companies. As an angel investor who has backed several unicorns, he has a keen eye for companies with high-growth potential.

Read more about Furkat and what he’s looking out for in US50 entrants here.

Kayode Tayo Faturoti

Co-Founder of , Breet & Homevy; Chief AI Officer, Liners

Kayode Faturoti is a technology entrepreneur, software engineer, and product architect with over ten years designing and scaling high-volume digital platforms across fintech, proptech, and artificial intelligence. As Co-Founder and Chief Product Architect of Cardtonic, he bootstrapped the platform to more than two million users and over $100M in transaction volume before raising external capital.

He also built Breet, Africa’s first automated crypto off-ramp platform; the Dubai proptech firm Homevy; and Liners, a software directory run by autonomous AI agents. He鈥檚 a member of the Forbes Technology Council & Fast Company Executive Board. Having built across fintech, proptech, and AI, he brings a builder’s eye for which early-stage companies can turn a product into real demand.

Read more about Kayode and what he’s looking out for in US50 entrants here.

Omar Hafez

Founder and CEO,

Omar Hafez is a technology entrepreneur, AI strategist, and founder of Think Big Technology, where he helps startups and enterprises transform complex ideas into scalable software and AI-powered products. He also serves as Head of AI Innovation at FireDesign.ai, an AI company modernizing engineering workflows through automation and intelligent design systems.

Over the past several years, Omar has led the development of platforms across construction technology, enterprise software, and artificial intelligence, working with organizations ranging from early-stage startups to established businesses. His experience spans product strategy, software architecture, fundraising support, and go-to-market execution, giving him a practical understanding of what separates promising ideas from businesses capable of achieving long-term success.

Beyond building companies, Omar is a member of the Forbes Council and Fast Company Executive Board, where he regularly contributes thought leadership on AI, innovation, and entrepreneurship. His work has been featured in leading business and technology publications, and he is an active mentor and advocate for founders navigating product development and growth. As a US50 judge, Omar brings a balanced perspective that combines technical expertise with commercial execution. He is particularly interested in founders who solve meaningful problems, demonstrate strong customer validation, and pair ambitious vision with the discipline required to build enduring companies.

Read more about Omar and what he’s looking out for in US50 entrants here.

Jeffrey Herzog

Founder and CEO of

Jeffrey Herzog is the Founder and CEO of Avenue Z, a digital marketing and PR company leading the next wave in AI Search and the Creator Economy. An original pioneer of search marketing, he has built a track record of founding, funding, and acquiring innovative companies at the intersection of marketing and technology.

Recognized by ADWEEK鈥檚 AI Power 50, PRovoke鈥檚 Innovator 25, Startup of the Year, and Forbes鈥� Best Startup Employers, he now leads Avenue Z in helping brands win AI search, grow revenue, and build reputation through PR and digital marketing engineered to move fast.

Read more about Jeff Herzog and what he’s looking out for in US50 entrants here.

Emmanuel Olarewaju David

CTO at .

Emmanuel Olarewaju David is a software engineer, AI entrepreneur, and Co-founder and Chief Technology Officer of ProtonLabs Technology, a UK-based company building practical AI solutions that simplify complex workflows and enhance productivity. He holds a master鈥檚 degree in Artificial Intelligence from the University of Manchester.

At ProtonLabs, Emmanuel has spearheaded the development of a growing portfolio of AI products that have collectively attracted over 5 million users, including more than 3 million registered users worldwide. He also led the development of the AskYourPDF Research Assistant, one of the most widely used productivity tools on ChatGPT. He brings to the judging panel strong technical expertise, entrepreneurial insight, product leadership, and a commitment to building accessible, high-impact technology.

Read more about Emmanuel Olarewaju David and what he’s looking out for in US50 entrants here.

Les-leigh A

Content and Marketing Executive at 91探花

Les-Leigh is a writer and digital marketing specialist with experience across B2B SaaS, technology, healthcare, recruitment and education. With a background in marketing strategy, content and design, she has worked with startups and established companies in the UK and United States, producing research-driven editorials, features and digital campaigns. Her work explores the ideas, businesses and trends shaping today鈥檚 economy, with a particular interest in innovation, entrepreneurship and emerging technology.

Would you like to be an expert judge in one of our upcoming competitions?

Find our 2026 competition schedule here and contact us today for more information.

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CEO: Andrew Meyer

奥别产蝉颈迟别:听

About AeroFlexx Packaging

AeroFlexx fundamentally reimagines how liquid products are packaged by combining the benefits of rigid bottles and flexible formats into one complete solution. Traditional packaging formats force tradeoffs between product protection, consumer convenience, sustainability, and manufacturing efficiency, but AeroFlexx eliminates many of these compromises through a unique combination of technologies that work together as an integrated system. Designed to combine the best attributes of a rigid bottle and flexible format, AeroFlexx delivers structure, durability, product protection, and consumer convenience.

At the heart of AeroFlexx’s innovation is the airframe technology, which uses air instead of excess plastic to create shape and rigidity throughout the package lifecycle. Rather than relying on thick plastic walls for structural integrity, the package uses air chambers engineered to create strength, stability, and product protection while using substantially less material. This allows the pack to stand upright, maintain shelf presence, protect liquid contents, and provide a familiar bottle-like experience while using significantly less material. The result is a lightweight, squeezable, durable package that can eliminate up to 85% of virgin plastic compared to a traditional rigid bottle, cap, and label, representing a significant advancement in source reduction.

AeroFlexx also incorporates self-sealing technology directly into the package to enable controlled, dose-by-dose dispensing. This feature provides convenience while reducing component complexity and material usage. The easy-tear opening and self-sealing valve enables one-handed use, reduced mess, and less product waste. Because the package does not require a traditional cap or closure, it simplifies use while reducing component complexity. The format is well-suited for personal care, household products, baby care, pet care, food, and industrial liquid applications.

AeroFlexx combines sustainability and functionality in a way that has been difficult to achieve traditionally. The package is mono-material and lightweight while maintaining the durability and ease of use consumers expect from packaging. This allows brands to make meaningful progress toward sustainability targets without compromising product protection, product evacuation, or the overall consumer experience.

By integrating structural engineering, dispensing technology, material reduction, and consumer-focused design into one packaging format, AeroFlexx introduces a new category of liquid packaging that challenges conventional assumptions. The result is a scalable, commercially viable technology that delivers measurable benefits for brands, consumers, and the environment.

From a sustainability perspective, AeroFlexx addresses several critical industry challenges simultaneously. Its mono-material construction is designed to support recycling streams where infrastructure exists, while its lightweight design reduces raw material consumption and lowers emissions related to transport. Because the package ships and stores more efficiently than traditional bottles, brand owners can benefit from improved logistics, increased truckload capacity, and reduced warehousing requirements, generating advantages throughout the supply chain.

AeroFlexx represents the type of practical, scalable innovation to advance packaging performance, consumer usability, supply chain efficiency, and sustainability at the same time. By replacing conventional assumptions about liquid packaging with a smarter flexible structure, AeroFlexx offers the industry a compelling path towards lower material use, simpler operations, and a better consumer experience.

As the innovation has been validated commercially, AeroFlexx is moving into scaled execution with adoption across prestige beauty, household and personal care, industrial applications, and food and beverage. A public global partnership with Aveda, along with anchor customer relationships across multiple end markets, demonstrates that the platform can expand across products, categories, and geographies. As AeroFlexx strengthens regional filling capacity, co-manufacturing, and its global manufacturing footprint, the technology is positioned for global commercial scale.

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Co-Founders: Marty Kagan and Hasan Alayli

奥别产蝉颈迟别:听

About Hydrolix

The world’s most critical digital applications鈥攆rom global streaming platforms to high-volume SaaS, fintech, marketplaces, and AI-driven services鈥攔equire a level of complexity and scale that outpaces traditional approaches to analytics. These applications run across hundreds of thousands of servers and microservices, generating data at internet scale and demanding real-time intelligence to ensure customer satisfaction. And it’s not slowing down鈥攖he AI revolution is driving new critical services and agentic workloads that will only make this an exponential problem. But there’s been an impossible gap.

First: Global Scale. Modern applications don鈥檛 run in a single data centre鈥攖hey can span hundreds of thousands of servers across continents, generating data from every user, every edge node, CDN, and distributed service powering the application. Collecting and making sense of data from globally distributed infrastructure in real-time has been impossible. The scale overwhelms traditional platforms.

Second: Real-Time Performance. Even the world鈥檚 most scalable platforms can鈥檛 maintain speed at scale. As data volumes grow, query performance degrades鈥攖aking 7, 10, or even 30 minutes to surface critical insights. When you鈥檙e trying to deliver real-time customer experiences but your insights are arriving 30 minutes behind, you鈥檙e not competing鈥攜ou鈥檙e guessing. You鈥檙e flying blind at the exact moments that matter most.

Founded in 2018, Hydrolix is a real-time data platform designed to solve these problems from day one. We deliver operational intelligence at internet scale鈥攇etting you insights in seconds across petabytes of globally distributed data. Where applications serve billions of users across continents. Where every CDN edge node and streaming platform generates a relentless fire hose of data. Where a Singapore network issue must be detected and resolved before Los Angeles users become aware of it. That’s where Hydrolix operates.

We deliver the real-time visibility that has been out of reach, with unique capabilities competitors don’t offer: one-of-a-kind, built-in CDN observability that brings edge-to-enterprise intelligence. Not just faster queries, but complete operational intelligence across your entire distributed infrastructure, with human-speed decisions on machine-scale data.

Most recently, Hydrolix has expanded into the security operations space with the Hydrolix Security Data Layer. Security investigations increasingly fail not because analysts lack skill or tooling, but because the evidence they need is gone by the time they go looking for it. Faced with rising data volumes and SIEM costs that scale with ingest, security teams routinely shorten retention windows, sample telemetry, or archive data into cold storage, decisions that reduce costs today but eliminate tomorrow’s evidence. When a security investigation stretches back weeks or months, as many now do, analysts often discover the data they need no longer exists or takes hours to rehydrate. Without that evidence, investigations become slower, less conclusive, and harder to use to prevent future attacks.

The Hydrolix Security Data Layer is designed to close that gap. It sits underneath the existing security stack, not in place of it, ingesting petabyte volumes of telemetry, compressing it by up to 50x, storing it in the customer’s own cloud, and keeping it immediately queryable at any age. Security teams keep using the SIEM and analyst tools they already know for detection and day-to-day workflows; the difference is that when an investigation reaches back six months or two years, the data is still there and still fast to search, and available when analysts need to establish root cause, determine the full scope of an incident, and confirm it has been contained. That means faster investigations, faster root cause, and faster resolutions.

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Co-Founders: Maor Greenberg (CEO), Ami Avrahami (CPO)

奥别产蝉颈迟别:听

About Spacial

Spacial builds an AI model that turns architectural plans into permit-ready structural and MEP engineering plans. Every set is reviewed and stamped by our in-house, licensed engineers, so the output is not a suggestion; it is a document a building department can accept.

In many cases, the problem arises when a document passes between different departments. For example, a designer could draw a layout. Then, two weeks later, an engineer flags an issue in the layout. The layout then changes, which breaks something else downstream, and another round of revisions begins. Each round is a week or three of correction work, not design work. Most companies are making one part of that loop faster. Spacial is eliminating the loop. Engineering knowledge sits inside the design surface, so a structure that will not work never gets drawn. Cut that cycle and the savings build more housing.

Spacial was founded in 2024 in Palo Alto by Maor Greenberg, who spent two decades in construction and development watching this loop drain time and money from architects, builders, and engineers. Ami Avrahami, credited on more than 30 patents in property technology and AI, leads product, and Jay Klein leads AI. Most of the team comes from structural engineering and architecture, so the problem is not theoretical to them.

The first challenge had to do with data. There isn鈥檛 a public dataset of engineered, permitted residential buildings, so the company opened a licensed practice, Spacial Services, delivering structural, architectural, MEP, and Title 24 work to real clients. Every project yields validated proprietary training data and a paying customer. Revenue funds the research, and the research sharpens the practice.

The second challenge was the code itself, scattered across separate databases owned by different jurisdictions, in different systems and formats, and revised constantly. Gathering and reconciling it, and keeping it current, is an ongoing effort.

The third was technical. How do you get a machine to understand physics rather than lines and shapes, to know what a wall is and detect on its own whether a door placed in it is physically sound? Existing tools draw geometry without knowing what it is made of or what it carries. Spacial built its own physics engine so the software reasons about a building as a structural system.

Spacial has delivered 47 projects with 228 in production, concentrated in California and extending into other states. The work spans single-family homes, townhome communities, and accessory dwelling units, for modular and prefabricated home manufacturers and custom builders. Engineers are hired and licensed in the United States, not offshore.

Growth means opening the software directly to architects and builders, adding code coverage in new states, and training the model on every project the practice delivers. Spacial is raising a Series A to fund it.

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Co-Founders: Lewis Carhart (Co-Founder and CEO), Claudio Fuentes (Co-Founder and COO), Mariano Fuentes (Co-Founder and CTO)

奥别产蝉颈迟别:听

About Comp AI

Comp AI is an AI native compliance and security platform for modern software companies in the United States, helping AI and B2B SaaS teams become audit ready in days instead of quarters through deep automation of manual security and compliance work. Founded in January 2025, the company emerged after its founding team saw fast growing software businesses in the US stalled by long compliance projects, scattered spreadsheets and point in time audits that no longer matched the pace of product development. Entering a market dominated by larger, older brands, Comp AI had to overcome early skepticism that faster processes meant weaker standards and prove that an AI native approach could raise both speed and rigor.

In its first year, Comp AI focused on product depth and hands-on support instead of large sales teams. The platform uses context aware automation that learns how each customer operates, then generates tailored policies, assesses vendors, surfaces risks and supports broader security workflows. Customers work directly with the team through Slack, with response times measured in minutes, not days, a combination that helped Comp AI win over early adopters that needed to move quickly without taking shortcuts on security.

Today, Comp AI serves more than 950 customers and around seven million dollars in annual recurring revenue. Customers typically reach compliance in under ten hours of their own effort, compared with an industry baseline of roughly 75 to 150 hours on legacy platforms. Across the United States ecosystem, the platform helps founders, security leaders and revenue teams treat trust as growth infrastructure rather than back office overhead. By reducing the manual hours spent on evidence collection, security questionnaires and repeated audits, Comp AI helps teams close new deals faster, unlock larger customers earlier and maintain stronger controls as they scale, while supporting a broader shift from point in time compliance toward continuous security.

As more US software companies adopt AI in their products and internal systems, the need for clear, rigorous and efficient compliance will only increase. Comp AI aims to be the modern default in this category, raising the bar for how companies handle risk, protect data and build long term trust with customers and partners across the country.

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Founder & CEO: Doron Cohen

奥别产蝉颈迟别:听

About Covercy

Covercy is a fintech platform that brings investment management, integrated banking, and fund administration together for commercial real estate investment firms. It gives the general partners who run private real estate deals one place to raise capital, manage investors, move money, and administer their funds, replacing the tangle of spreadsheets, separate bank portals, and outsourced administrators that most firms rely on today.

The company launched in 2016 as a cross-border payments tool and grew into the all-in-one platform it is now. That evolution came from watching how real estate fund managers actually work. A general partner might close a deal, then spend weeks chasing wire transfers, reconciling capital accounts by hand, and emailing investors one at a time. Covercy replaced that with one connected system: capital calls, distributions, investor reporting, and FDIC-insured banking that earns yield on idle funds, all in the same place.

The United States is the core market. Most of the customer base is made up of US-based commercial real estate firms, and US growth is led by President Peter Sanchez, who previously ran Alternative Fund Services at Northern Trust, where he grew assets under administration from 40 billion to 400 billion dollars. His arrival marked a deliberate move to serve larger, more institutional fund managers alongside the smaller firms that first adopted the platform.

The biggest challenge has been trust. Asking a fund manager to move investor capital and banking onto a newer platform is a high bar, because a mistake with investor money is not a minor problem. Covercy cleared that bar by building banking-grade controls, permission-scoped access, and fund administration rigor into the product from the ground up, rather than adding finance features on top of a marketing tool.

The most recent step is Neo, an AI agent built specifically for fund operations. Unlike a general purpose assistant pointed at company data, Neo works inside a regulated, money-touching environment. It only sees what each user is permitted to see, it shows exactly what it plans to do and waits for approval before acting, and it never uses customer data to train models. It carries the operational load of running a fund, from investor communications to capital call workflows, so small teams can manage more capital without adding headcount.

What sets Covercy apart is the combination. Plenty of tools handle investor reporting, and plenty of banks move money, but very few bring investment management, real banking, fund administration, and now a purpose-built AI agent into one platform for private real estate. That breadth is hard to copy, and it is what a lean fund manager needs.

The plan from here is to deepen the institutional offering, expand fund administration, and extend what Neo can safely handle, giving US real estate fund managers a system that scales as they grow.

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贵辞耻苍诲别谤:听Dominique Pouliquen

奥别产蝉颈迟别:听

About Cintoo

When Cintoo was founded in 2013, point cloud data (originating from 3D scanners) was so large, the files couldn鈥檛 be easily shared between internal teams, external partners or clients, and the 3D data itself was difficult to view, interpret and navigate, and only supported in desktop-centric workflows, which left information siloed.

We launched the Cintoo platform in 2019 to solve these challenges, transforming 3D scan data management and collaboration for AECO and Industrial Asset Owners. Hardware agnostic and cloud-based, it lets anyone with a web browser upload laser scan data, which technical and non-technical users alike can access, interpret and collaborate on.

Our biggest challenge was the file-size itself and addressing this is our core innovation. Our proprietary TurboMeshTM technology converts high-density scan data from terrestrial, mobile or drone scanners into lightweight, high-fidelity 3D mesh, 10-20 times smaller in size, making it fast to stream and share in the cloud.

We invest continuously in new functionality based on customer needs. We鈥檝e just launched Cintoo Workspace, which lets users step inside their high-fidelity scan data to further enhance collaboration and decision-making. We also forge strategic partnerships to improve the customer experience, such as an Esri ArcGIS integration last year and our new 360 Edition solution with Ricoh.

The US is Cintoo鈥檚 largest market, with our American headquarters in Miami, Florida, where CEO, Dominique Pouliquen, relocated to grow the business, and home to a US team of around 15. Our patented point cloud-to-mesh engine is now used across the industries that anchor American manufacturing and infrastructure, with automotive giants like Stellantis and GM using it to build virtual versions of their factories and plan renovations without disrupting production; energy companies such as BP using digital twins to manage sprawling refineries and pipelines; and engineering and construction firms such as Arup and Haskell relying on it for as-built verification and BIM coordination.

As John Brown, a Supervisor in General Motors鈥� Reality Capture division, puts it: 鈥淐intoo has really democratised point cloud data so that鈥檚 become the deliverable standard. Our engineers are leveraging these datasets regardless of what region they鈥檙e in.鈥�

Our growth has been backed in part by US capital, with Accenture Ventures joining our Series A and Partech leading our 鈧�37 million Series B, directed at further US expansion. The platform integrates with the American software tools these teams already use, like Autodesk Construction Cloud, Navisworks, BIM 360 and Procore.

Today, the platform is used by more than 110,000 professionals, with a US-rooted team helping AEC, automotive and energy operators deliver projects faster and more accurately and turn reality capture data into a long-term asset.

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Co-Founders: Lubomir Bourdev and Hamid Palo

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About Primepoint

Primepoint builds AI that reads and understands construction drawings, not just the text around them, turning thousands of scattered PDF pages into one connected, traceable source of truth for how a project gets built. In an industry where almost right is not good enough, a missed conflict on a drawing can mean a costly change order or a safety incident in the field, so every answer Primepoint gives is grounded in the original document.

That is also what sets Primepoint apart from a wave of AI tools built on general chat models. Primepoint understands drawing linework, scale, and how a door tag connects to a schedule, a specification, and a submittal, details that go beyond what a tool built to summarise an uploaded document can see. Primepoint instead built a proprietary construction knowledge graph and deep learning models trained specifically on drawings, so every answer traces back to the original document.

Primepoint started in 2024 in San Mateo, California, founded by Lubomir Bourdev and Hamid Palo. Bourdev spent nearly two decades in AI research, as a founding member of Facebook AI Research and co-founder of WaveOne, a video compression company acquired by Apple in 2023. Palo was the fifth employee at Trello, helped scale it through its acquisition by Atlassian, and was product lead at Uber, taking grocery delivery from zero to one.

The biggest challenge was earning trust in an industry that has been slow to adopt AI, where every project depends on dozens of stakeholders collaborating across contracts, trades, and schedules. In that setting, a hallucinated answer to a drawing question can be worse than no answer at all. Design error rework alone costs the US construction industry an estimated 177 billion dollars a year, and teams needed to see proof, not promises, before handing over real project data. To close that gap, Primepoint brought on Kamran Azarbal, a construction veteran who spent a decade at Webcor rising from project engineer to project director, to make sure the product was built around how teams on site actually work.

That proof is now paying off. Primepoint is working with major US general contractors, including Sundt Construction, Webcor, Milender White, W.E. ONeil, Fortis Construction, and Bulley and Andrews, cutting drawing navigation time and catching conflicts before they reach the field. In April 2026 the company closed a 10 million dollar seed round led by Navitas Capital and Penny Jar Capital, with participation from NextView Ventures, GS Futures, Aglae Ventures, and AI pioneer Yann LeCun.

At a moment when US construction faces a real shortage of skilled labor as demand accelerates, Primepoint gives existing teams more capacity instead of replacing them, helping American builders move faster on the projects shaping the next decade of US infrastructure.

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Company: Compt

Founder and CEO: Amy Spurling

奥别产蝉颈迟别:听

About Compt

Compt started in 2018 in Boston, MA. Amy Spurling founded the company after two decades in finance and operations leadership at venture-backed startups, serving three times as CFO and twice as COO. Over that career, she closed more than ten rounds of financing, totaling over 200 million dollars, and took two acquisitions through to close. The Boston Business Journal named her CFO of the Year in 2016.

The idea for Compt came from a problem she watched repeat at every company she helped run. Perk programs were built around whatever leadership happened to value. Free beer and ping pong for one crowd, nothing usable for the parent commuting home at five, the employee managing a chronic illness, or the person supporting family overseas. Same budget, wildly unequal value. Amy came to describe it as a hidden pay gap, and she built Compt to close it. Compt is a platform that gives every employee the same benefit dollars and lets each one decide what support actually means, while keeping the whole program compliant with US tax rules.

The first challenge was that the category did not exist. Lifestyle Spending Accounts (LSAs) were an unfamiliar concept to most human resources buyers in 2018, which meant every sales conversation started with education rather than comparison. The second challenge was tax compliance, the reason most companies had avoided flexible perks entirely (reimbursing employees for personal spending creates a maze of taxable and nontaxable treatment that varies by category and country). Compt built that logic into the product from day one so HR and finance teams could offer real choice without inheriting a compliance problem.

Then 2020 arrived. Offices emptied and every perk tied to a physical location became worthless overnight. The shift validated the thesis that also strained a young company that had to serve a suddenly distributed customer base while the entire benefits market rewrote its assumptions. More recently, the challenge has inverted: the category Compt created now draws entrants from the largest names in human resources technology, several with far more capital.

The company has held its position anyway. Across more than 4,000 category coverage reports from 2021 through 2026, Compt is named in 51.9%, more than every competitor combined. Since 2020, the company has earned more than 2,100 articles across 951 outlets with no paid placement, including Fortune, The New York Times, Forbes, Fast Company, and Business Insider.

The wider impact on the US ecosystem is that flexible, personalised benefits moved from novelty to standard practice. Compt publishes an annual and midyear Lifestyle Benefits Benchmark Report, giving human resources leaders real data on what employees choose when given freedom to do so, rather than what vendors assume they want. Most readers will never become customers (many are researchers from respected organizations and brokerages). Amy also writes and speaks publicly on benefits equity, stipends as compensation, and health benefits for women, reaching a connected audience of more than 16,000 followers on LinkedIn (often reaching beyond with 10 million plus impressions) that skews heavily toward founders, senior leadership, and human resources decision-makers.

Employers now compete on how well they support people. Compt made that measurable.

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Co-Founders: Alex Gornik (CEO), Ivan Borovikov, Maryna Hradovich (CRO)

奥别产蝉颈迟别:听

About Maestra

Maestra.io is a personalisation platform for ecommerce and DTC brands. It lets a brand give each shopper their own version of the store in real time. Banners, recommendations, and offers adapt to the person looking at them.

We started in 2023 and spent our first years like every martech startup: sharpening our product. Clients came, saw the value, bought, went live. Then came the uncomfortable discovery: they used less than a third of what the platform could do. It was never about the software. They had no bandwidth and no expert to spare.

We realised that even the best tool does nothing for a client who never gets a chance to use it. Brands buy dozens of tools with the best intentions, to build a great customer experience. And the tools gather dust, because marketers never get to lift their heads out of urgent work. Even with AI. No, especially with AI, when the pressure keeps rising.

So what businesses need is not more features but a partner who takes the work on and goes after the result. We wanted to give them that so badly that we reinvented the business around it.

Normally a martech platform gets you a chat window. If a flow breaks on Black Friday, you file a ticket and wait, and live humans are reserved for the biggest accounts. We decided that should not be normal. We dedicate a senior marketer to every single client: a real person on your Zoom calls, in your Slack, in your numbers. We call them forward-deployed marketers.

That marketer moves you onto the platform, takes the automated emails you never had time to launch and launches them, takes the website changes you meant to test and tests them. Each one stands behind only 15 brands, against an industry norm of 50 to 60, so they can go deep into every business.

And at least 60% of their pay is tied to your results, so they cannot put you on hold. Your results are literally theirs.

Later we learned this has a name: Service as a Software, the inverse of Software as a Service. Partnership first and the tool second.

We wanted that responsibility to be real, so we made leaving easy. No lock-ins in our contracts: the month a client stops growing, they are free to go. They stay because they keep growing. Magnum Bikes, a US e-bike brand, grew online orders 111.7% and revenue 56.6% YoY. Selkirk Sport, a family-owned US pickleball manufacturer, grew email revenue 55% and SMS revenue 149%.

Maestra passed 100 clients in mid 2026 and grew 86% YoY. In May 2026, our emails reached 30 million unique US readers 鈥� nearly everyone living in Texas. On G2, 92% of reviews credit the forward-deployed marketers for the rating.

We designed our business around a real problem, and it worked. Now we are making it normal for businesses to get results instead of collecting tools, one brand at a time.”

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