
Technology
|
AGI Research
|
YC W26
|
Valuation:
Undisclosed

Last Updated:
March 24, 2026

An AGI research lab building hybrid deep learning and program synthesis systems designed to autonomously innovate and accelerate scientific discovery.
Ndea has publicly committed to developing Latent Program Networks (LPNs) that merge deep learning with program synthesis, releasing next-generation ARC-AGI benchmarks and competitions (ARC-AGI-3 launching March 25, 2026), and building a "factory for rapid scientific advancement" where AGI systems autonomously invent, adapt, and commercialize new ideas across science and engineering domains.
Job postings reveal heavy investment in world models, reinforcement learning, neuro-symbolic AI, and applied robotics/spatial AI, signaling an embodied intelligence play beyond pure software. GitHub and research community activity suggest work on guided program synthesis with few-shot generalization. The globally distributed, remote-first team structure mirrors co-founder Mike Knoop's Zapier playbook for scaling elite talent without geographic constraints.
Hybrid deep learning and program synthesis for few-shot scientific reasoning and autonomous invention.
Teaching an AI to solve brand-new puzzles it has never seen before by writing its own mini-programs on the fly, instead of memorizing millions of examples.
It's like hiring a scientist who doesn't just memorize every textbook but actually understands the underlying principles well enough to invent new theories from a single surprising experiment.
Neuro-symbolic world models for embodied AI and autonomous robotic reasoning.
Building an AI brain for robots that can figure out how to handle objects and navigate spaces it has never encountered before by imagining what will happen before it acts.
It's like giving a robot the ability to play out a chess game in its head before moving a single piece—except the chess board is your entire kitchen and the pieces are random objects it's never seen.
Automated AGI benchmarking and continuous intelligence evaluation platform.
Creating an automated testing system that measures whether an AI can actually think and invent—not just parrot back answers—so the entire field knows who's really making progress toward AGI.
It's like being both the professor who writes the final exam and the student who gets to see how every other student in the world answers it before writing their own thesis.
François Chollet is the creator of Keras (used by YouTube, Waymo, Spotify, ByteDance), inventor of the ARC-AGI benchmark (used by OpenAI, Anthropic, Google DeepMind, xAI), author of "Deep Learning with Python," awarded the Global Swiss AI Award, and named to Time's "100 Most Influential People in AI." Mike Knoop co-founded Zapier (the largest AI automation company in the world, used by millions of businesses), leading all engineering and product as President. Both are also co-founders of the ARC Prize Foundation.