Orqista

Autonomous Engineering Ecosystem

Self-hosted · SaaS · Offline-capable

Let AI handle the code.
You keep the control.

Orqista orchestrates AI coding agents that plan, write, review, and ship code — with human approval at every step.

Other tools wait for prompts. Orqista codes while you sleep.

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By the numbers

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Tests
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Expert Agents
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Native Tools
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Workflow Patterns

Runs out of the box

14 built-in job types — from a Jira story to a finished PR, no configuration needed.

Feature Development

Jira story or plain description

Code + tests + merge request

Bug Fix

Bug report or failing test

Minimal fix + regression test

Security Audit

On-demand or scheduled

OWASP report + fix PRs

Code Review

MR / PR webhook

Inline review + suggestions

Incident Response

Alert or incident ticket

Root cause + runbook update

Release

Tag or milestone event

Changelog + deploy notes

AI agents are powerful.
Without orchestration, they're dangerous.

Uncontrolled AI can modify the wrong files, ignore your coding standards, and ship changes nobody approved. The more capable the model, the more damage it can do.

Without Orqista
  • AI modifies anything it wants
  • No visibility into what changed
  • Hope the output is correct
  • One model fits all tasks
With Orqista
  • Guardrails enforce boundaries
  • Full audit trail for every action
  • Automated review catches issues
  • Right model for each task

How it works

From job to shipped code in five movements.

01

A job comes in

From your issue tracker, a chat message, or the dashboard.

orqista-agent
$ orqi job create --type feature
> Analyzing PROJ-847: "Add rate limiting to /api/users"
> Scanning project genome...
02

AI enriches & decomposes

Requirements are clarified, then broken into a DAG of mini-jobs assigned to expert agents.

orqista-agent
> Enrichment: requirements clear (2-pass check)
> Decomposed into 4 mini-jobs across 2 stages
> Experts: code-ts, test-writer, security-reviewer
03

You approve the plan

Review the decomposition and expert assignments. Approve via dashboard or Slack.

orqista-agent
> ⏳ Awaiting approval...
> ✓ Approved by @admin via Slack
> Guardrails: ✓ max_files(5) ✓ blocked_dirs(none)
04

Staged execution

Mini-jobs execute in parallel within stages. Artifacts are isolated — no file conflicts.

orqista-agent
> Stage 1: code-ts (middleware) + test-writer (specs)
> Stage 2: security-reviewer (audit)
> Combinator: 3 commits, 0 conflicts
05

Quality gate & delivery

Automated quality review verifies combined output, then a merge request lands in your repo.

orqista-agent
> Quality gate: ✓ requirements met, 0 critical issues
> MR !2847 created: ai/proj-847
> Pipeline: ✓ build ✓ test ✓ lint

Staged parallelism in action

Expert agents execute mini-jobs in parallel. Artifacts flow to the combinator. Zero file conflicts.

① Enrich

AI Product Owner

Clarify requirements

2-pass intent check

Add auth + JWT
JWT or API key?
② Decompose

Task Planner

Build TaskDAG

4 parallel mini-jobs

JOB
code test sec
③ Execute in parallel

code-ts

middleware · 3 files

test-writer

test specs · 2 files

security

audit report · 1 file

④ Merge · QA

Quality Gate

Combine artifacts

Verify requirements

+42 lines ±0 conflicts PASS
⑤ Deliver

Auto Delivery

Open merge request

Trigger CI/CD

ai/feat-auth-jwt CI ✓
Output

MR

ready to merge

CI/CD

deployment ready

①② Enrich → Decompose — AI product owner clarifies ambiguous requirements, planner decomposes into a parallel mini-job DAG
Execute in parallel — expert agents run concurrently in isolated workspaces, each producing file artifacts independently
④⑤ Merge → QA → Deliver — combinator merges all artifacts with zero conflicts, quality gate verifies output, MR opened automatically

Why engineering teams choose Orqista

AI automation that respects your workflow, your standards, and your budget.

Always in control

Human approval gates at every step. See the plan before any code is written.

Works with your tools

Connects to your code hosting, project tracking, documentation, and chat.

Runs anywhere

Your cloud, your data center, or fully offline with local models.

Learns your codebase

Understands your conventions, dependencies, and architecture.

Cost-intelligent

Automatic model routing matches task complexity to the right AI.

Battle-tested safety

Layered guardrails prevent rogue changes at every level.

Deploy your way

Cloud, self-hosted, or fully offline. Your code, your choice.

Fastest setup

Cloud

Managed SaaS — we handle infrastructure, you focus on building.

Most control

Self-Hosted

Deploy on your own cloud or on-premise. Full data sovereignty.

Maximum privacy

Offline

Run with local models. Zero internet dependency. Air-gap ready.

Ready to see what AI agents can really do?

Request early access and we'll get you set up. Available as managed cloud or self-hosted.