Top Artificial Intelligence Startups in 2026

trycherry.ai builds AI tax and accounting for founders. Full stack: incorporation, bookkeeping, filings, tax, reporting. US service; Mexico work lives alongside Gigstack. Remote.

Finthos is an Agentic AI Operating System for Family Offices to automate deal flow intelligence, portfolio monitoring, cash flow planning, and governance/compliance reporting.

At Maihem, our mission is to empower every manufacturer, no matter their scale, to invent and build anything using intelligent robots. We are witnessing the start of a new industrial revolution—an era of rapid innovation and advanced manufacturing powered by AI and robotics. We aim to lead this shift by putting these tools into the hands of every manufacturer, ensuring the power to invent and build at scale isn’t a privilege of the few. But this era of abundance depends on solving a systemic labor crisis. For any economy to advance its industry and secure its supply chains, it must address the work that no longer attracts a human workforce. We are building AI to handle the dull, dirty, and dangerous. By offloading the hazardous and the mundane to intelligent machines, we empower manufacturers to compete globally while driving prosperity locally. In doing so, we enable the creation of new, purposeful jobs—ensuring that the future of innovation remains human-centric, boundless, and accessible to all. We are: - Backed by Y Combinator and founders of PayPal, Affirm, Slack – with a $6M seed round. Scout investments by Sequoia, a16z, Accel, and Kleiner Perkins. - Founding team of AI PhDs and previous startup CTOs** – everyone has a founder/CTO background. - Building with real industry partners from the start** – focused on shipping robotic solutions for real-world deployment in record time. Founding Team: - Max Ahrens (Founder & CEO):** ML PhD + Postdoc (Oxford University); led AI research projects with the Alan Turing Institute and UK Ministry of Defence; ex-McKinsey. - Simon White (Founding Software Engineer):** former YC startup founder/CTO; ex-defence systems engineer. - Joel Kang (Founding Product Engineer):** former AI startup founder/CTO; ex-LinkedIn; product-minded engineer focused on shipping end-to-end systems.

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The Problem: Security incidents don't begin when the alert fires. With the average threat dwell time reaching 241 days, standard 30 to 90-day hot retention limits leave security teams and AI agents completely blind to initial compromise vectors. But keeping years of data searchable on traditional SIEMs requires massive, prohibitively expensive search clusters. Our Solution: Rover is a SIEM and Security Data Lake built for retention economics. We allow teams to search and analyze their full security history as if it were hot—without rehydration, moving data, or managing search clusters. Cold Storage. Hot Intelligence. How we do it: Object-Storage-Native LSM: Rover writes inverted indexes directly alongside full-fidelity security data in customer-owned object storage. No hot index tier. Serverless Query Engine: Search and analytics execute on-demand, fanning out across ephemeral workers that disappear when the work is done. No always-on compute. Signal Mesh: A stateful engine that evaluates detection queries continuously as data arrives, producing instant signals and alerts. Zero Rehydration: Historical data is instantly queryable in sub-seconds.