Orqista gives your engineering team a fleet of expert agents that plan, write, review, and ship code. Skills evolve from every run — the platform grows smarter the more you use it, while you stay in control of every decision.
Click any stage to explore — or watch it run automatically.
When a job arrives, the enrichment phase checks if the requirements are clear enough to decompose. If not, it asks the user structured questions with suggested options — like a product owner doing a requirements review. Skipped automatically for clear requests.
Every layer is independently useful — together, they give your team AI engineering with full control and accountability.
Eight guardrail categories with code-aware evaluators and scope inheritance (global → group → project). Compliance frameworks (NIS2, SOC2, ISO 27001, HIPAA) map rules to controls. Locked rules prevent override at any scope level.
77+ expert agents with domain-optimized prompts, enforced toolkits, and per-expert model selection. 13 workflow patterns with phase toggles, expert allowlists, and per-phase concurrency controls. Groups enable inheritance of guardrails and preferences.
Temporal-based durable workflows with built-in retry, timeout, and crash recovery. Jobs decompose into mini-job DAGs with staged parallelism. Conflict detection re-runs affected jobs on an updated workspace state.
Multi-turn agentic loop with 52 native tools. Lazy tool loading reduces tool-definition token overhead by ~99%. Smart routing matches task complexity to model capability. Each mini-job runs in an isolated workspace with symlink-aware path validation.
Skills evolve automatically — every run generates FIX, DERIVED, or CAPTURED improvement proposals you review and accept. Project Genome captures your coding conventions from the repo. Context Assembly selects the right knowledge for every job within a token budget.
Real-time dashboard with full job and mini-job visibility. Hash-chained audit trail for tamper-evident compliance evidence. Per-expert monthly budget caps with automatic spend modes. Langfuse tracing captures every LLM call.
Cloud, self-hosted, or air-gapped. You decide where your code lives.
We handle everything — infrastructure, updates, scaling. You focus on building software.
Runs on your own infrastructure. Full control over data, security, and configuration.
Run with local AI models for air-gapped or high-security environments. Zero external dependencies.
Orqista is designed around open interfaces. Add custom expert agents, integrations, workflows, and model providers without modifying the core platform.
Request early access and we'll walk you through a live demo.
Request Early Access