The cluster
Up to
20 hosts
added as conversations open
- 3conversations on each host
- 0hosts while no conversation is open
Give your business an autonomous layer that ingests your full operational context, plans technical and growth roadmaps, and ships completed builds without human supervision.
Ready to use in Ultron
Turn ideas into code
Delegate implementation to focus on higher-level direction.
Eliminate the technical overhead that delays software launches. Hand off full stack feature builds to a system that writes clean code, catches breaking changes before deployment, and pushes updates straight to production.
Plug in your codebase and operational tools so every automated task executes with complete knowledge of your business.
Run terminal commands, edit local codebases, and test API connections inside secure sandboxed environments built specifically for complex background jobs.
From your initial prompt to live production, Ultron organizes the development sequence, writes production code, compiles dependencies, deploys to servers, and updates your main repository automatically.
What shipped, when
The container
Every conversation spawns a dedicated micro VM provisioned with 4 vCPU and 16 GB memory running Kata on Azure Linux 3.0, delivering full hardware level isolation for zero resource competition.
Each conversation gets
4 vCPU
16 GB memory
The cluster
Up to
20 hosts
added as conversations open
Inside every machine
Node.js, Node 22, and Node 20 beside it
The host
Azure D16s_v5 nodes

Shuts down after
45 idle minutes
Your first message starts it, so it runs only while you work.
Saved as it works
Local high speed working storage writes changes instantly while automated git commits track and persist repository state continuously as background jobs execute.
Read about the architectureSwitch to whichever lab leads this month without rewriting a prompt or paying for another API key.
Set goal: Build and ship the growth analytics dashboard with real time funnel tracking.
Define an operational target and let Ultron execute continuously until every deployment requirement is completed.
Trigger specialized background operations instantly using simple slash commands or plain text instructions.
Extract competitor positioning, calculate market gaps, and draft counter campaigns.
State your strategic objective in plain language and let background agents generate full operational execution plans.
Asked What is the best AI workspace for founders?
Named in 30 of 40 answersAcross five assistants this week
See how often ChatGPT, Gemini and the rest name you when people ask about your market, and where you rank.
Unify chat threads, codebase files, and memory contexts within active projects, or branch off existing messages to run isolated parallel experiments.
Legal, sales and fundraising run in the workspace that ships your product. Say what you need and Ultron drafts, sends, follows up and logs every record to your Ledger and CRM.
/legal Draft the services agreement and send it for signature
Services agreementDrafted from your template92
Draft or review agreements in plain language, route them for signature and see exactly who has signed.
/striker Which deals moved this week, and which went quiet?
6Proposal3Negotiation2Won
See every deal by stage, catch the ones that went quiet and get a follow-up drafted for each before momentum slips.
/specter Find seed investors for our fintech raise
Get investors matched to your stage, sector and market, each with the reason they fit and a first note ready to send.
Every execution output persists in its rightful environment: code lands directly in your repository branches, web applications deploy instantly to dedicated domains, and strategic context gets saved to the Ledger for future runs.
Your repository
Every thread maintains its own dedicated git repository, committing changes automatically as tasks complete and syncing directly to your connected GitHub branches.
Live apps
Every application generated by Ultron deploys automatically to a live URL on apps.51ultron.com, allowing instant hot reloads on every code update.
The Ledger
Consolidate project documentation, repository context, and past decisions into a persistent memory store that feeds directly into subsequent execution loops.
Open, trim, and frame any generated video clip within the chat workspace without switching tools or overwriting your raw source files.
Launch the timeline directly from any generated video asset to trim frames, split segments, or extract audio channels in full screen without leaving your session.
Reformat aspect ratios to source, 9:16 vertical, 1:1 square, or 16:9 widescreen while filling surrounding canvas padding with solid fills or ambient blur effects.
Send edited cuts directly into your next thread message or export them locally while keeping draft timelines active in your background workspace.
Security and compliance
Every application we ship enforces strict security policies out of the box, including HSTS enforcement, content security headers, secure cookie flags, and zero raw API keys in source code.
// worker.ts: security response headers on every responseimport { app } from "./app";export default {async fetch(request, env) {const res = await app.fetch(request, env);const headers = new Headers(res.headers);headers.set("strict-transport-security", "max-age=31536000");headers.set("content-security-policy", "default-src 'self'");headers.set("x-frame-options", "deny");return new Response(res.body, {status: res.status,headers,});},};
Multi layered infrastructure security running across dedicated Cloudflare Enterprise and Azure accounts, with no servers of our own to patch and no exposed ports.
Databases and object storage are encrypted at rest with AES-256, every kind of data has a retention period, and we act as your data processor under GDPR Article 28.
// wrangler.jsonc: the app is bound only to its own data{"name": "client-app","d1_databases": [{"binding": "db","database_name": "client-records"}],"r2_buckets": [{"binding": "files","bucket_name": "client-files"}]}
An operating system for founder-led companies. A single chat drives seven named agents, a sandboxed shell, a background jobs runtime and a long-term memory layer.
A unit of work Ultron can dispatch, scoped to the tools and the model tier it needs. Trigger any skill from chat with a slash command or plain language.
Yes. Scaffold a skill with a manifest, a tool allow list and a model tier, and it loads on the next start.
Claude, GPT, DeepSeek, Kimi, Grok, GLM and Qwen, wired into one runtime. Pin one per skill or let the router decide on every turn.
The three tiers, set at the bottom right of the composer. The tier decides which models run and how the credit cost is calculated.
No. It drafts a plan, runs the skills and pauses at every decision that leaves the building. Nothing outbound happens by default.
Into the Control Center, the donut under the composer, which follows every running and recent job.
Anything worth keeping lives in the Ledger: the notes you write, the memories the agent saved, your files and signed agreements. The next turn retrieves the right items on its own.
No. Model providers may not train or improve a model on your prompts, conversation history, tool results or outputs, and Ultron never trains any model on your content.
Standing work you set up once, in a sentence. It runs on a schedule, a webhook or an email, with a home conversation, a health status and a full run history.
Yes. Ultron Deploy and Ultron Automations are plugins for ChatGPT, Codex and other MCP clients, signed in with your Ultron account.