AI that finishes the work, not the sentence.
Velaris agents read your inbox, prep your meetings and chase your follow-ups inside your real tools — Gmail, Calendar, Slack and 1000+ more — and stop for your approval before anything irreversible.
Free tier at launch · no credit card · your data stays yours.
The problem
You've got 40 tools — and an AI that can't touch any of them.
Your work is scattered across forty tabs and logins. Today's assistants can chat about them — but can't open, read, or actually do anything in them. So you're still the one clicking.
The reveal
This isn't a landing page. It's the actual OS.
Go on — open an app, drag a window, search from the top bar. This is the real Velaris desktop, running right here.
VelarisFileEditViewDrag a window, or use its button to move it
The Capability Mesh
Connectors are just data.
A thousand tools live in one searchable mesh — not bolted-on plugins. Your agent finds the right one, reads its schema, and runs it. Adding a tool is a row in a table, not a code change.
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search_toolsThe agent finds the right tool by meaning — no hardcoded integrations.
- 2
get_tool_detailsIt reads the exact schema for the one it needs.
- 3
execute_toolIt runs — through a fail-closed, 6-gate executor you can audit.
Neural routing
The right model, picked for you.
You should not have to know which model is best at what. Velaris classifies every prompt as it arrives, then routes it to the model that actually fits — for quality, for latency, and for what it costs you.
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Classified in milliseconds
Every prompt is read before it costs you anything — intent, complexity, and whether it needs a frontier model at all.
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Cheapest model that can do the job
Reasoning goes to a reasoning model. Boilerplate does not. You stop paying frontier prices for trivial work.
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Fallback chains
If a provider degrades or rate-limits, the run re-routes to the next model in the chain instead of failing.
Agents that act
It plans. It asks. Then it does.
Velaris runs real multi-step work across your tools — and pauses for a one-tap approval before anything that matters. You stay in control the whole way.
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Multi-step, not one-shot
It reasons, picks tools from the mesh, and chains them to a real outcome.
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Human-in-the-loop
Destructive or sensitive steps stop for your Approve / Edit / Reject.
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Streamed & auditable
Watch every step live; every tool call is scoped and logged.
The full security model — including what we refuse to automate — is public: read how approvals work →
Your apps
A full suite — all AI-native
Not a chat window bolted onto your tools. Real apps — Chat, Files, Word, Sheets, a Browser Agent and more — each one AI-native and operable by your agents.
App ecosystem
148 apps. Zero install.
148 built-in apps on the desktop — plus 1000+ external tools your agents reach through the mesh. No downloads, no per-seat add-ons, and every app is something your agents can operate on your behalf.
- AI Copilot
- Chat
- Agents
- Image Gen
- Art Studio
- Speech
- Calendar
- Notes
- Files
- Terminal
- Code IDE
- Analytics
- CRM
- Kanban
- Workflows
- Budget
- Sheets
- JSON
- API Tester
- Calculator
- Translate
- Photos
- Video
- Music
- Search
- Charts
- SQL
- Tasks
- Mind Map
A sample of the suite — 30 of 148.
Green AI
The greenest prompt is the one never sent.
In our Telegram beta, 56% of 656 real conversational requests were greetings, acknowledgements and filler — prompts that never needed a frontier model. Velaris answered every one locally: no API call, no tokens, no energy spent. Real work still goes to the best model for it.
No CO₂-saved trophies here — we deleted the numbers we couldn't defend and kept the mechanism.
Sent to a model
2 prompts that needed real reasoning
Answered on-device
3 prompts · 0 API calls · 0 tokens billed
Independent analyses of production LLM traffic put the share of trivial or duplicate calls in the tens of percent. Velaris removes that class of call entirely — your own savings depend on your mix.
Everything to the model
- “Hi, how are you?” billed as a frontier-model call
- “Thanks!” another API round-trip, another token bill
- “OK cool” compute spent to answer nothing
- Every trivial line costs money and burns energy
With Velaris in front
- Trivial prompts answered locally no API call leaves your machine
- Only real work reaches a model you pay for substance, not chatter
- Routed to the lightest model that fits see neural routing above
- Net effect cheaper per task, and less energy per task
Beyond agents & apps
The rest of the operating system
You've seen the desktop, the mesh, the agents and your apps. These pillars round out the stack — each one a place your agents can act, not just talk.
Omnichannel
Use Velaris on the web or over channels like Telegram — same brain everywhere.
ExploreStudio
Generate and edit images, video and long-form media in a creative pipeline.
ExploreModels & Intelligence
Frontier model routing across providers — the right model for every task.
ExploreSecurity & Control
It asks before anything irreversible. Reads run free, writes are logged, deletes and sends wait for your tap — and your credentials live in an encrypted vault the model never sees.
Explore1000+
tools & connectors in the mesh
47
live Google Workspace actions
0
sends, deletes or payments without your explicit approval
Works with the tools you already use
Community
Build, share & learn in the open
A Reddit-style home for everyone building with Velaris — ask, answer, share your best workflows, and shape what we build next.
The conversation's just getting started.
Start a discussionBe first through the door.
Join the early-access list for founder pricing, a locked-in discount, and a say in what we build next. No spam — just the launch.