Weco Raises $8M to Build Self-Evolving Software

Most AI tools can draft code that runs but can't deliver expert‑grade solutions that push the frontier.

Today’s code‑generation tools do little more than prompt large language models to emit code pulled from their training data, remixing patterns they’ve already seen. They rarely discover the sharper, faster, or more reliable solutions that push past the current state-of-the art. Weco’s mission is to automate the scientific method so software can learn from its own experiments, improvingwith every iteration. Instead of settling for good enough vibes, our agent generates expert‑grade code: useful, reliable, and even groundbreaking.

AIDE: the AlphaEvolve for Everyone

Google DeepMind's AlphaEvolve presents a timely demonstration of the power of AI-driven code optimization: using evolutionary search, it uncovered a breakthrough matrix‑multiplication algorithm, and shaved ~1% off Google's already highly‑tuned cloud compute bill. Weco takes this test-time self-improvement magic and puts it in the hands of every engineer, without requiring a hyperscaler budget.

Since last year, AIDE - Weco's open‑source engine - has delivered milestone results at the frontier:

• On OpenAI's MLE‑Bench, wrapping AIDE around the o1‑preview model drives a five‑fold jump in medal rate and a four‑fold gain over the best coding agents
• On METR's RE‑Bench, AIDE became the first autonomous system to out-perform top human researchers from DeepMind, Google, Anthropic, and OpenAI on kernel‑engineering tasks
• Initiatives such as Sakana AI's AI Scientist‑v2 plus Meta AI's LLM Speed‑runner and AIRA‑Dojo now rely on AIDE's tree‑search loop to explore vast solution spaces with minimal human input

As Tim Rocktäschel (Director & Open‑Endedness Team Lead, Google DeepMind) observes:

"Fantastic example of an open‑ended self‑improving outer loop (AIDE), leading to massive capability gains of a strong inner loop (o1). The future is going to be wild!"

From Kaggle leaderboards to open‑ended scientific discovery, these endorsements show that AIDE is a key foundation of the most important development in AI: recursive self-improving superintelligence. But we're just getting started - we're packaging these same capabilities for every engineer and organisation that wants software that proves its worth metric by metric, experiment by experiment.

Announcing our $8M Seed Round

Today, we're excited to announce that Weco has raised $8 million in seed funding. The latest round was led by Golden Ventures, with participation from Third Kind Venture Capital, BoxGroup, Founder Collective, Night Capital, Twin Path Ventures, Koro Capital, and Scott Belsky.

The best software of tomorrow won't be fixed at launch - it will relentlessly evolve. As Nick Chen, Partner at Golden Ventures puts it:

"Weco is pioneering 'Software 2.0': codebases as living systems that learn, adapt, and outperform themselves autonomously. We're only at the beginning of what's possible."

Our partners share deep conviction in a powerful idea - the next era of software won't be written once and remain static. It will continuously learn, measure, and refine itself. We're excited to advance our research in recursive self‑improvement, expand a talent‑dense R&D team, and make expert‑grade, evidence‑backed code optimization available to every builder.

Evaluation-Driven Coding

Picture a development loop where each code change is treated as a hypothesis, automatically tested against real metrics, evolving into something better - again and again. We call this cycle “evaluation-driven coding”, and it sits at the heart of Weco. Instead of “vibe coding,” where an LLM guesses a plausible snippet and humans polish the rest, our approach turns empirical feedback into the steering wheel: propose, run, measure, repeat until the numbers peak.

The long‑term payoff is profound: when optimization becomes autonomous and evidence‑driven, engineers reclaim their time for higher‑level design, research teams explore orders of magnitude more ideas, and organisations ship software that keeps upgrading itself long after release. We see a future where every repository, open-source script and mission-critical system has an always‑on optimizer quietly chasing the next jump in accuracy, speed, or robustness, cutting the cost of innovation to near zero.

Join the Build Loop

We’re hiring exceptional backend, infra, and research engineers to help turn evaluation‑driven development into the default way software is made - apply at jobs@weco.ai.

Thank you to our investors, early users, and the wider research community for proving that code can, in fact, learn to outdo itself. Together we’ll keep pushing that frontier forward!