Platform · Overview
One platform for the AI-native company
A workspace for every team, agents on the repeat work, every model through one gateway, and a team that puts it into production with you.
Book a demoTrusted by leading organizations
What the platform is made of
A workspace for everyone
Harriet Desktop and the web workspace, provisioned and governed by IT, with skills and connectors ready on sign-in.
Agents on the repeat work
Cloud agents that read, pull, match and draft from your own material, with a person approving what goes out.
Every model, one gateway
Claude, OpenAI, Gemini and more through one gateway, hosted in the EU, with the bill by team as it happens.
A team that deploys
People who put the first workflow into production with your team and hand it over with an owner.
The four parts
Cloud agents
Scheduled and on-demand agents that take the repeat work in support, operations, finance and compliance. Every action belongs to a named user; anything that writes or sends waits for approval.
See cloud agentsAI gateway
Every leading model through one gateway. EU routing, zero data retention available, model access by group, budgets by team, and eval mode to pick the right model for the job.
See the gatewayDeployment
A team that sits with yours, picks the process, builds it, runs it with a real team and hands it over.
See how deployment runsStrategy
Which problems, in what order, and how the organization changes. The plan comes from the first workflows in production, not from a slide deck.
See the approachAn AI bill you can predict
Spend you can see
Cost by team, model and task, visible as it happens rather than on the invoice.
Intelligent model routing
Frontier where it matters, the most cost-efficient everywhere else.
Eval mode
Run the same task on different models before deciding which one to use.
Your best AI work, shared
- Capture
- Save something that worked as a skill anyone can run again.
- Improve
- A colleague tweaks their own copy, the team keeps what works.
- Review
- Someone checks the change before it goes to the team.
- Share
- The better version reaches everyone, and nobody loses their edits.
