Frequently asked
questions.

Orqista is an autonomous engineering platform that orchestrates AI agents for code generation, code review, architecture analysis, security scanning, documentation, and ops tasks. Available as managed cloud or self-hosted on your infrastructure.

Copilot and Cursor assist individual developers with code completion. Orqista orchestrates entire engineering workflows — from task intake through plan approval, code execution, automated review, and merge request delivery. It includes guardrails, audit trails, team governance, and multi-model support.

Engineering teams that want AI automation with control. From solo developers who need a force multiplier, to platform teams standardizing AI usage across the organization, to CTOs evaluating AI strategy with compliance requirements.

Orqista is language agnostic. It works with any codebase that the underlying AI models can understand — which today means virtually any programming language.

Any model provider. Cloud deployments use managed AI services (e.g., AWS Bedrock) with EU data residency. Self-hosted deployments can use any provider, including local models via Ollama for offline operation. Switch providers with a single configuration change.

Yes. Self-hosted Orqista can run entirely offline using local AI models. After initial setup, the platform has zero internet dependencies. Suitable for air-gapped and high-security environments.

Orqista uses an open adapter architecture. Built-in connectors cover common tools for code hosting, project tracking, documentation, and team communication. Adding custom integrations means implementing a simple interface — no core platform changes required.

Self-hosted: Docker Compose up in under 5 minutes. Cloud: zero infrastructure setup — request access and start using it immediately.

When a task comes in, the platform classifies its complexity and routes it to the appropriate model. Simple tasks get fast, cost-effective models. Complex work gets powerful reasoning models. You can override any routing decision.

Self-hosted: your code never leaves your network. Cloud: code is processed in isolated, encrypted infrastructure. In both cases, your code is never used for model training.

Yes. Cloud deployments use EU data residency. Self-hosted deployments give you complete control over data location. No model training on your data. Full data retention controls and right-to-deletion support.

Three layers of constraints — global, project, and task-specific — enforce what agents can and cannot do. This includes file change limits, directory restrictions, pattern enforcement, and naming conventions. Human approval gates add another layer of control.

Every agent action is logged: task creation, plan generation, approval decisions, code changes, review findings, and delivery. The full audit trail is queryable via API and visible in the dashboard.

Contact us for trial access. We'll set you up with the right deployment mode for your team and walk you through the platform.

Full platform access — all agents, features, and integrations. Self-hosted has no per-seat charges. Cloud pricing is usage-based. Contact us for details.