The platform that gets
smarter with every run.
Most AI tools give you the same output on day 100 as on day 1. Orqista captures what works, fixes what doesn't, and accumulates institutional knowledge — automatically.
Most AI tools give you the same output on day 100 as on day 1. Orqista captures what works, fixes what doesn't, and accumulates institutional knowledge — automatically.
An expert agent executes a mini-job using its current skill guidance.
A lightweight assessor (Haiku) evaluates the output and proposes skill improvements.
Proposed improvements are surfaced in the dashboard. You accept, modify, or dismiss.
Approved changes are versioned and immediately active for the next run.
Every evolution is classified by how it came to be. This classification determines how it's stored, versioned, and prioritized in future runs.
When a skill underperforms — too many errors, timeouts, or low-quality outputs — a FIX replaces the problematic sections with corrected guidance based on the observed failure patterns.
When an expert discovers a notably better execution pattern — a more efficient approach, a better tool sequence — a DERIVED skill is created as a new variant alongside the original.
When an expert successfully handles a task type that has no existing skill guidance, a CAPTURED skill is created from scratch — turning a one-time success into reusable institutional knowledge.
Procedural guides that teach expert agents how to execute specific task types. Versioned, BM25-retrieved, and automatically improved after each run.
Auto-detected project conventions: your tech stack, testing patterns, naming rules, and architectural decisions. Injected into every expert run so agents write code that fits your codebase.
Significant patterns captured during expert execution — architectural decisions, novel patterns, important conventions. Reviewed and approved by you before becoming genome traits.
Your company, project, and task objectives. Every expert agent receives the full goal ancestry chain so it understands the strategic why behind each task.
Autonomous learning without human review is risky. Every proposed skill evolution — whether a FIX, a DERIVED variant, or a new CAPTURED skill — is presented to you for approval before it takes effect.
You can accept it as-is, modify the proposed content, or dismiss it. Dismissed patterns are recorded so the assessor doesn't keep proposing the same change.
Every run is an investment. Orqista turns execution history into better guidance, so your engineering team compounds knowledge — not just output.
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