KUVEX/Oronis
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Autonomous Engineering OS
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Autonomous Engineering OS · v2.6

You describe. Oronis ships.

Oronis coordinates planning, implementation, design, testing, and review from one goal. Your workspace stays local while managed intelligence handles the reasoning required for each task.

Launching soon
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01 — how it works

no fixed pipeline.
one orchestrator.

No cloud IDE. No per‑task prompting. Describe the goal — Oronis analyzes it, plans rigorously, and assigns exactly the agents the work needs.

live orchestration
01Analyze

Oronis parses intent, scans the codebase, and scores the risk — a real plan before a single file moves.

02Assign

It routes each subtask to the right specialist — and skips the ones that don't apply. The crew is built per request.

03Ship

The assigned agents implement, self‑heal, and pass every check before the PR opens — CI green.

requestadd stripe billing webhook
Oronisorchestratoridle
PLANNERdecompose · 6 subtasks
APIwebhook handler
DATABASEledger migration
TESTSpytest + e2e
SECURITYscan money path
UIskipped · no surface
SHIPPR · CI

click the diagram to route a different request →

0
desktop operating systems planned
0
launch plans drafted for builders and teams
0
workspace surfaces designed for the agent loop
Built for solo buildersstartup teamsagenciesinternal toolsopen-source maintainers
02 — inside oronis

every surface.
one workspace.

Scroll the product, page by page. Fourteen surfaces that share one live state — here are the eight you’ll live in.

home

wake up to shipped work.

Mission Control is the first thing you see — live KPIs, the agent activity stream, and a digest of everything that shipped while you were away. Pick up where the work left off.

live KPIsactivity streamovernight digest
Oronis — Mission Control
Mission Control
build

watch the build happen.

Workflow Studio shows the execution plan, the reasoning trace, and the live test stream as agents work. Approve the diff yourself, or hand it to autopilot.

execution planreasoning traceapprove / autopilot
Oronis — Workflow Studio
Workflow Studio
ask

ask your codebase anything.

Intelligence Hub reads the relevant files and answers in plain language — grounded in real citations, code excerpts, and the exact symbols it referenced.

grounded answersfile citationssymbol refs
Oronis — Intelligence Hub
Intelligence Hub
plan

a roadmap that builds itself.

Strategic Planner lays out phases, milestones, and progress against your target — and generates the next phase on demand when you’re ready to move.

phasesmilestonesgenerate next
Oronis — Strategic Planner
Strategic Planner
ideate

improvements you didn’t ask for.

Concept Lab surfaces ranked ideas across performance, security, UX, and code quality — each scored by impact, each one click away from becoming a task.

ranked by impactevery domainone-click task
Oronis — Concept Lab
Concept Lab
context

everything Oronis knows.

Project Context is the living model of your codebase — conventions learned, risks detected, dependencies and patterns — re-analyzed after every successful merge.

conventionsrisks detectedauto-refreshed
Oronis — Project Context
Project Context
design

designs that run instantly.

Design Studio turns a prompt into UI and renders it live in a sandbox — iterate across versions, drop in real images, and ship it with one click.

live sandboxversionsone-click implement
Oronis — Design Studio
Design Studio
track

GitHub issues, in the loop.

Issue Tracker syncs your repo, triages what’s open, and lets agents close issues end-to-end — fixed, merged, and linked back to the task that did it.

GitHub synctriageauto-close
Oronis — Issue Tracker
Issue Tracker
+ 6 more surfaces Live Execution · Version History · Worktrees · Test Lab · Deploy Hub · Help & Docs View all 14 views →
03 — the agents

one orchestrator.
a roster of specialists.

No fixed crew. Oronis reads each request and pulls in only the specialists the work demands — and the roster grows with every skill you add.

Oronis

orchestrator · the brain

Oronis reads every request, analyzes the codebase, scores the risk, and writes the plan. Then it assembles the crew — assigning the specialists the work needs, skipping the ones it doesn't, and self‑healing up to 50 iterations before it ever asks for help. Nothing runs on a fixed pipeline.

intent analysisrisk scoringdynamic routingself‑heal · 50auto‑escalation32K ctx
planning
decomposes the goal.

Breaks the request into subtasks, identifies file targets, and writes the spec. Architecture before code.

backend
builds the services.

APIs, handlers, data models, migrations. Edits files in place and runs them against the suite.

frontend
builds the surface.

Components, state, styling, accessibility — wired to a live preview as it goes.

testing
proves it works.

pytest, vitest, and playwright with coverage gates — auto‑triggered the moment a build completes.

security
guards the diff.

bandit, OWASP‑aligned scans, secret detection, and lint. The PR opens only when it's clean.

+ roster
grows with your codebase.

Every skill file you add teaches a new specialist. There's no fixed set — the crew expands to fit the work.

04 — local by design

your workspace stays
on your machine.

No cloud IDE and no mirrored repository. Oronis works through the files on your machine and sends only the task context required for managed AI processing.

/01

Local workspace

Your repository remains on your computer. Oronis reads and changes files through the local runtime instead of copying the project into a cloud IDE.

/02

Managed intelligence

Oronis selects and routes the appropriate intelligence internally. You do not need separate model subscriptions or provider keys.

/03

Bounded context

Only the instructions and relevant task context needed to generate a response are sent for managed AI processing.

/04

Audit‑ready

A local activity log of every action an agent takes — inspectable, exportable, and fully yours.

05 — pricing

four plans.
same quality at every tier.

Every plan gets the same engine and the same quality. Plans differ in how many agents run at once, queue priority and support. Worktree isolation, review before merge, checkpoints and undo, and the full activity log are in every plan, never an upsell. Prices exclude applicable tax.

Monthly
Annual Save 20%
Launch trial
7 days or 10 tasks.
The full productSame engine and workflow as the paid plans, with 1 agent at a time.
No card neededThe trial ends by itself after 7 days or 10 tasks, whichever comes first. It never turns into a paid plan on its own.
No permanent free tierWhen the trial ends, choose Solo, Pro, Ultimate or Team to continue.
Launching soon
Solo
$29
/ month + tax · cancel anytime
  • ✓Unlimited tasks under fair use
  • ✓2 agents at once
  • ✓Extra tasks queue automatically
  • ✓Standard queue
  • ✓1 automatic retry per task
  • ✓Community support
Launching soon
Most Popular
Pro
$79
/ month + tax · cancel anytime
  • ✓Everything in Solo
  • ✓5 agents at once
  • ✓Priority queue
  • ✓Overnight autonomous lane
  • ✓GitHub Autopilot
  • ✓3 automatic retries per task
  • ✓Email support
Launching soon
Ultimate
$149
/ month + tax · cancel anytime
  • ✓Everything in Pro
  • ✓12 agents at once
  • ✓Highest queue priority
  • ✓Automatic whole-project audit
  • ✓Multi-repository Autopilot
  • ✓Extended automatic retries
  • ✓Priority support
Launching soon
Team
$79
/ seat / month + tax · min 3 seats
  • ✓Everything in Pro, for every seat
  • ✓5 agents per seat
  • ✓Shared team workspace
  • ✓Invite teammates by email
  • ✓Roles and seat management
  • ✓Team activity and audit export
  • ✓SSO-ready account controls
Launching soon
Enterprise
Custom seats and terms.
Identity and accessSAML and SCIM, custom seat volumes.
AssuranceDPA, security questionnaire support, SLA options.
ProcurementNamed support, invoicing and custom agreements.
Contact us →
06 — why Oronis

the old way.
and the new way.

Most "AI coding" tools autocomplete inside your editor — you still drive every step. Oronis owns the whole loop.

Without Oronis

You're still the pipeline.

  • ✕Prompt line-by-line, then paste, wire, and fix the output yourself.
  • ✕Context resets every session — you re-explain the codebase each time.
  • ✕You write the tests, run CI, and chase the red builds.
  • ✕Code leaves your machine and rides a third-party cloud.
  • ✕One task at a time, blocking your focus.
With Oronis

Oronis is the pipeline.

  • ✓Describe the outcome once — it plans, builds, tests, and opens the PR.
  • ✓Persistent project context, re-learned after every merge.
  • ✓Writes its own tests and retries failures before asking for review.
  • ✓Your working files stay on your machine — nothing is pushed until you link a repo.
  • ✓Up to 10 tasks in parallel, isolated in their own worktrees.
07 — questions

good questions.

Straight answers on how your code, your data, and the agents actually work.

Your working files stay local. Oronis runs on your hardware and reads and writes to the files on your disk. It only reaches an external code host when you link a GitHub repository — at which point it reads and pushes to that repo using a token you control. Until you connect one, nothing about your project is committed or mirrored anywhere.

Oronis routes each task through KUVEX-managed AI infrastructure behind the scenes. You never select or manage individual models. The instruction and relevant context needed for a task are sent for processing under the applicable provider terms, while your working repository remains on your machine. Subscription pricing includes this managed usage.

Every request is handled by a crew assembled on demand. A planner decomposes the goal, coders implement it, a reviewer inspects the diff, and a tester runs the suite — with security and other specialists pulled in only when the work calls for them. You describe the outcome; Oronis decides which agents the task needs.

Only after you connect a GitHub repository with a token you provide. Agents work on an isolated worktree, run the full test suite, and open a clean PR for your review — they never force‑push or merge without you. No repo linked means no external code access.

Oronis reads your codebase — conventions, patterns, dependencies — and adapts to it rather than forcing a fixed pipeline. It builds backend, frontend, tests, and migrations across whatever languages and frameworks your repository already uses.

Oronis is launching soon. Paid plans start at $29/mo (Solo), with Pro at $79, Ultimate at $149 and Team at $79 per seat; annual billing saves 20%. Launch access includes a bounded reverse trial: 7 days or 10 tasks on trial access, then choose Solo, Pro, Ultimate or Team to continue. Paid subscriptions are non‑refundable once the software has been used — see our Refund Policy.

08 — policies

clear terms.
no fine‑print surprises.

Oronis is a subscription that covers real AI‑provider usage on every request. Because that cost is incurred the moment you start working, our billing terms are deliberately straightforward.

Refund Policy
Subscriptions are non‑refundable once used.
Last updated September 23, 2026 · processed by Paddle (Merchant of Record)
  • 01
    Try it free firstThe trial runs for 7 days or 10 completed tasks, whichever comes first. It needs no payment details and never turns into a paid plan on its own.
  • 02
    Used even once, the payment is finalFrom the first request the Oronis app sends to our service after a charge, that payment cannot be refunded, including for technical problems met after use. Not used at all? Ask within 14 days for a full refund.
  • 03
    Cancel anytime, no partial refundsCancel online from your account or the link in any Paddle receipt. Your plan runs to the end of the paid period and you are not charged again.
  • 04
    Unlimited tasks under fair useNo daily or monthly task caps on paid plans; your plan sets how many tasks run at once. See the Fair Use Policy.

Dissatisfaction, technical problems after use, partial use, unused days or forgetting to cancel do not make a used payment refundable. EU/UK customers consent at checkout to immediate supply of the service and acknowledge that the withdrawal right ends once it starts doing work for them. Refund requests: billing@kuvex.ai. Nothing here limits non‑waivable statutory rights.

Privacy

Your working files stay on your machine. To generate a response, the context a task needs is sent through KUVEX-managed AI infrastructure and handled under the applicable data-processing terms. Code reaches GitHub only when you link a repository.

Read the privacy policy →

Terms of Service

The agreement that governs your use of Oronis — your account, acceptable use, the agents’ access to your repositories, and billing through Paddle as Merchant of Record.

Read the terms →

Billing & support

Payments and tax are handled by Paddle. For billing questions or an eligible refund request, reach us directly — we respond within 1–2 business days.

billing@kuvex.ai →

stop writing boilerplate.
start shipping.

Oronis is launching soon. Drop your email and we’ll send the reverse-trial invite the moment access opens.

Community launching soon