The AI-native workspace for your organisation.
Stellr is one workspace where your people and AI agents work as one team, from one shared memory of what the organisation knows.
Any organisation, anywhere. Free to start.
The problem
People come and go. So do AI agents.
A person leaves. An AI agent finishes its task. What each learned goes with them.
A person moves on and hands over folders, not judgement: who to call, what was tried, why a decision went the way it did.
An AI agent is a piece of software that does a job for the team, with a person responsible for it. With Stellr, what stays is the organisation: its roles, its rules and what it has learned.
How it works
Four moves. Four screens.
Each move is a screen in the app.
Bring it in
Email and WhatsApp exports land in one place, with their context.
Assign a person or an AI agent
People and AI agents side by side, each with a role and an owner.
Run it as a plan
A request becomes a plan with steps and owners. One person approves it.
Keep what you learn
Every step leaves a record. Every answer from the memory shows its source.
See it
This is the AI-native workspace.
One team of people and AI agents, working from one memory, on four screens.
The rules
Built with rules.
Policy, built in.
A person is accountable for every AI agent.
One person approves every plan.
Every AI agent action is recorded.
Every answer from the memory shows its source.
Your workspace is yours, separated from every other.
Where it fits
Keep your systems. Work where you are.
Your people work in the web app and by email. Stellr is designed so that WhatsApp, ChatGPT and Claude can reach the same workspace.
Stellr sits alongside the systems you run. It connects to email, and is designed to connect to the rest.
Where it applies
Every organisation has these teams, whatever its industry.
Hiring
A request to hire becomes a plan: sourcing, screening, interviews, the offer. One approval.
Operations
The inbox that runs the place, with every request tracked to a decision.
Customer and citizen services
A request becomes a case with an owner, and every answer from the memory shows its source.
Start
Start with one team.
Create a workspace, bring one team and run one real request on the free trial. Then read the record: what was decided and by whom, and what your organisation now knows. After that, choose a plan.