Top Machine Learning Startups in 2026

OnCorps is disrupting the IT software market, where for every dollar spent on software, businesses spend on average three dollars on consulting. By building a customizable AI decision guidance platform supported by a high-end team of data and computer scientists, we can deliver highly tailored, cutting-edge solutions to some of the world’s largest companies in a fraction of the time and cost of the software + consulting model. The personalized, analytics-based solutions unlock significant productivity and performance gains for clients. OnCorps’ partnerships with leading behavioral scientists from Harvard, Yale, and Oxford ensure our digital decision guidance solutions adapt well to the users. The OnCorps platform is primarily deployed to support operations processes in global financial services companies and for pricing in multinational technology and consulting companies, such as EY and Dell. OnCorps financial operations software, which replaces decades-old processes dominated by Excel and email, has experienced two years in a row of tripling sales growth and now supports asset managers with over $3T in assets under management. OnCorps sales and pricing software has helped technology and consulting businesses grow their revenue by tens of millions of dollars and have been able to scale their businesses without having to scale their costs.

We're a team of machine learning and product engineers training task-specific generative models for psychology. Our mission is to use AI to make mental healthcare more accessible and to help people change their lives in the ways they want. We partner with organizations around the globe and power use cases, including AI-assisted crisis text response and AI counseling, while securing best-in-class datasets to power our models. Success to us means every human being in need of support having somewhere to go. We're a well-funded, seed-stage startup backed by top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and others. We're building a powerful team by empowering our engineers with the autonomy, flexibility, and resources to do their best work. We dream big and iterate fast. If that sounds like home, we'd love to hear from you. The Team Daniel started coding at age 8 and started training models in high school. At 16, he dropped out of high school and moved to London to pursue his study and research. He graduated university top of his class at 19 and was awarded ‘distinguished’ by Imperial for his post-grad research in AI for mental health. As an ML Engineer, he led Instabase’s pivot into GenAI. He raised $6M pre-team at age 22 to develop the tools for training task-specific generative models that now power our machine learning research. Neil dropped out of medical school to co-found Casper, the sleep company, which he helped grow to $500M+ in revenue and IPO’d in 2020. Improving wellbeing through sleep led him to mental health, where he joined the board of [PsychHub](psychhub.com). He’s invested in 200+ companies like Ro, Affirm, Relativity, Archer, Figure, and Together.AI. Our team has expertise in model training, product engineering, and psychology. Our engineers includes team leaders who have joined us as individual contributors, two former CTOs, and collective experience from across Big Tech.

PhrasIQ is building decision infrastructure for enterprise finance. Enterprises have invested heavily in Systems of Record to store data, Systems of Analytics to understand data, and increasingly Systems of Intelligence to generate answers. Yet critical business decisions remain slow because finance teams must reconcile fragmented data, validate assumptions, investigate variances, and defend their reasoning before action can be taken. We call this decision latency. Our core belief is that trust, not AI capability, is the primary bottleneck in enterprise decision-making. Rather than applying AI directly to fragmented enterprise data, PhrasIQ establishes structured truth first through deterministic reconciliation, lineage tracking, governance, and auditability. On this trusted foundation, our decision intelligence platform delivers explainable forecasts, variance analysis, anomaly detection, and decision recommendations. Beyond helping teams make faster decisions, PhrasIQ captures the assumptions, reasoning, decisions, outcomes, and learnings behind every decision, transforming them into persistent organizational decision intelligence. We believe this represents the next foundational enterprise software category: Systems of Decision. We are initially focused on enterprise finance, where trust, accountability, and auditability are mission-critical, with a long-term vision of becoming the decision infrastructure layer for modern enterprises.

Our CapsidMap™ platform uses AI to systematically and rapidly optimize AAV capsids, overcoming the limitations of naturally occurring virus capsids by improving targeting ability, payload size, immune evasion and manufacturability. By building a massive and detailed map of synthetic AAV capsid sequence space, we can quickly navigate the landscape to find enhanced gene therapy vectors with transformative potential.

RealityEngines.AI Becomes Abacus.AI RealityEngines.AI is an AI research company that is focused on hard problems that enterprises have. Our research will be packaged into easy-to-use pay-as-you-go cloud service(s) that will be accessible to all enterprises. Abacus.AI does research and offers cloud AI services to help companies of all sizes easily and effortlessly embed cutting-edge deep learning models into their business processes or customer experiences. Customers pick a use-case and point to their data. Our AI engine then creates a state-of-the-art deep learning system using the customer’s dataset, that can be used to generate predictions. Behind the scenes, our AI engine packages our research on generative models and neural architecture search to deal with noisy or incomplete data, then finds the best neural network that models the customer’s specific dataset and use-case. In addition, the engine handles setting up data pipelines, scheduled retraining of models from new data, provisioning high availability online model serving from raw data using a feature store service, and providing explanations for the model’s predictions. Our vision is to truly democratize AI by making state-of-the-art AI techniques available to organizations of all sizes. In order to achieve this, we need to make systems that can automatically create robust AI models. We also need techniques that work in cases where there is noisy, incomplete or little training data. We are actively pursuing a number of research areas and will continue to package our inventions into our cloud AI service to make this vision a reality.

Maybe you’ve supported a friend or family member who’s dealing with cancer. Maybe you’ve battled it yourself. At Syapse, our mission is to enable healthcare providers to deliver the best care to every cancer patient through precision medicine and it's our personal connections to this mission that unites us Together, we're building a revolutionary suite of products that integrate complex oncology data and share insights across the cancer care ecosystem including cancer care centers and life science companies developing the next generation of cancer diagnostics and medicines. Join us in our exciting mission to scale precision medicine to reach every cancer patient on the planet. All while making a positive impact in the lives of people battling cancer, their families and the organizations committed to their care.

nate is a venture-backed, intelligent automation, social shopping and payments startup, with offices in New York and London. nate just closed its series A round, raising 38MM from Renegade, Forerunner Ventures, Coatue and Canaan, among others. nate was created based on the principle of “humans inspire, machines execute”. It guides our team to create a product and company that is truly consumer and privacy first, and that will play a part in online shopping solutions from moment of inspiration to purchase.

Afresh is on a mission to reduce food waste and increase access to nutritious food globally by transforming the fresh food supply chain. Our AI-powered solutions optimize the multi-trillion-dollar grocery industry's food ordering, production, and merchandising processes. We built the first platform capable of handling all of Fresh food’s complexities. We are relentlessly focused on helping grocers reduce waste, increase profitability, and bring better, fresher food to their communities. Afresh is currently deployed in hundreds of grocery stores across the United States and is on track to reduce 30 million pounds of food waste per year with our existing customers alone. By 2021, we're aiming to reduce food waste by a quarter billion pounds per year. We are a passionate team united by our mission to make an impact. As an Afresh employee, you’ll own meaningful work that will challenge you and change the future of how fresh, nutritious food makes its way through the supply chain. We hope you’ll join us!

TrueFoundry is an Enterprise Platform as a service that enables companies to build, ship and govern Agentic AI applications securely, at scale and with reliability through its AI Gateway and Agentic Deployment platform. Its AI Gateway encompasses a combination of - LLM Gateway, MCP Gateway and Agent Gateway - enabling enterprises to manage, observe, and govern access to all components of a Gen AI Application from a single control plane while ensuring proper FinOps controls. Its Agentic Deployment platform enables organizations to deploy models on GPUs using best practices, run and scale AI agents, and host MCP servers - all within the same Kubernetes-native platform. It supports on-premise, multi-cloud or Hybrid installation for both the AI Gateway and deployment environments, offers data residency and ensures enterprise-grade compliance with SOC 2, HIPAA, EU AI Act and ITAR standards. Leading Fortune 1000 companies like Resmed, Siemens Healthineers, Automation Anywhere, Zscaler, Nvidia and others trust TrueFoundry to accelerate innovation and deliver AI at scale, with 10Bn + requests per month processed via its AI Gateway and more than 1000+ clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the Central control plane for running Agentic AI at scale within enterprises and empowering it with intelligence so that the multi-agent systems become a self-sustaining ecosystem driving unparalleled speed and innovation for businesses. To learn more about TrueFoundry, visit truefoundry.com.

At Alloy, we work with consumer goods companies that make the products we eat, wear, and use every day. We’re tackling a real and complex problem for them—managing supply and demand in the face of constantly changing customer behavior, highly complex supply chain networks, 40-year-old data standards and labor-intensive manual processes. Alloy is fast-growing, profitable, and backed by leading investors with an expanding presence across the world. Our team hails from successful startups, leading tech companies and Fortune 100 enterprises. We believe deeply in fostering individual ownership, iterating to excellence, focusing on what matters, communicating openly & respectfully, and supporting one another.