Across the world, tens of thousands of teams are asking AI to build the same login screens, the same data engines, the same components — from scratch, every single time. Evohlv remembers the best version of everything. And gives it back in seconds.
Right now, tens of thousands of development teams around the world are using AI to build from scratch the same login screens, the same data retrieval engines, the same PDF readers, the same authentication flows, the same payment integrations.
Each team starts from zero. Each team spends weeks grinding a raw idea forward — building, testing, breaking, fixing — until it finally becomes something reliable enough to ship. All of that time, money, and computing power. Repeated. Everywhere. Simultaneously.
Industry research confirms 60% of enterprise code is boilerplate — repeated patterns across virtually every codebase. Engineers spend 30–40% of their time writing code that has already been written. AI tools have made it worse, not better — one study tracking 211 million lines of code across Google, Microsoft, and Meta found a fourfold increase in duplicate code since AI assistants went mainstream. The tools got faster. The waste got bigger. Because not one of them remembers anything.
What if the software industry's collective intelligence — millions of iterations, daily — worked for you instead of resetting every session?
Plain language. No spec documents. No wireframes. Just your intent — Evohlv's engine categorizes and maps it instantly.
Evohlv's ranking and retrieval system — not an LLM — evaluates the library for the highest-quality match. Retrieval always before generation.
The highest-ranked solution — tested, evolved, and production-ready — surfaced in under a second. Zero LLM cost. Zero regeneration.
Novel requests fire the LLM once. The result enters the library, gets ranked, and evolves with every subsequent use. The next team never pays for it again.
Functional. Reliable. Enterprise-grade. In 90 seconds or less — not 90 hours. And every team that comes after gets a better answer than you did.
At launch the retrieval rate is 0% — every request generates. As the engine ingests and ranks more solutions, the rate climbs. At scale, generation becomes the rare exception.
More usage means a richer library. A richer library means higher retrieval. Higher retrieval means dramatically lower cost and continuously improving quality. The curve bends permanently — and the team that builds the deepest library first creates a gap no competitor can fast-follow.
A singular intelligence that remembers every solution, surfaces the best version, and improves with every line written anywhere on the platform. Starting with code. Built for everything.
The instinct is obvious: just train a model on GitHub. Feed it a billion lines of code and let it surface the best answer. Every major AI coding tool has already tried this. None of them can reliably categorize, rank, and retrieve solutions at the precision and quality that production software demands. The data is too complex. The failure modes are too costly. An LLM that retrieves the wrong component doesn't save you time — it introduces bugs you can't see until they're already in production.
What Evohlv has built is fundamentally different: a proprietary digestion and ranking engine that ingests code continuously, evaluates it against a structured quality framework, and surfaces solutions that are durable, bug-free, and production-ready. Not because an LLM guessed well. Because the engine understood what "best" actually means for that category of problem.
"The architecture can be studied. The engine can be copied. The library of ranked, battle-tested artifacts — compounding from day one — cannot be fast-followed."
The model compounds. More usage → richer library → higher retrieval rate → lower cost → more competitive → more usage. This is the loop that makes Evohlv defensible at scale. It starts with code — the most measurable, most immediate, most valuable entry point. The same architecture applies wherever LLMs waste compute answering the same questions again and again.
The world's first evolving software library. Describe what you need, get back production-ready, battle-tested code in seconds. No more starting from scratch. No more repeated debugging. The full request → retrieve/generate → store → evolve cycle, functional from day one.
Beyond components — full system blueprints, API contracts, database schemas, and infrastructure patterns drawn from the industry's collective expertise. The library expands from code artifacts to architectural intelligence.
Any domain where answers evolve. Legal frameworks. Scientific methodologies. Business processes. Clinical protocols. Any knowledge that can improve through iteration and collective use belongs in the library. Code is where it starts. It is far from where it ends.
Early access is limited. Founding users shape the category taxonomy, influence the ranking framework, and receive permanent preferential pricing. We are opening access to the teams who are ready to stop rebuilding what already exists.
Phase 1: Code Intelligence · Phase 2: System Architecture · Phase 3: Universal Knowledge
Evohlv is in active fundraising. If you are an investor who understands platform bets and compounding infrastructure, we want to hear from you.