The platform your
AI-native business runs on.
Ortelian gives agents a world model for knowledge work: your company and the world around it, in one model. Agents act in your systems from it and learn from each other’s work.
The platform
Give agents a world to work in.
Ortelian’s agents run the workflows you set up, or you ask them in Slack. Your own AI tools, such as Claude and ChatGPT, connect over MCP. Both reach your business only through scoped tools. We build a pipeline for each of your systems and match it to Atlas, our model of the world outside.
- Update a deal
- Send an emailApproval
- Send an invoiceApproval
- Open computer access
- ONTOLOGY
- Defined with you: what exists in your business
- STATE
- Companies, people, deals and how they relate
- KNOWLEDGE
- What your people know and agents learn
- EXPERIENCE
- How the work and decisions turned out
What’s inside
Four parts, built in.
- Agents
Take on ongoing work that needs judgment, act in your systems and ask a person where the work needs approval.
- Workflows
The fixed steps that run the same way every time, on a schedule or a trigger.
- World model for knowledge work
A map of your company and the world around it: the data from your systems and outside sources, how things relate and what your team and agents know about them. Every fact keeps its source, and what one agent learns, the next can use.
- Evaluations
Run on real examples of your business for quality, cost, time and human effort, and again whenever a model, instruction or workflow changes.
Security
Your data stays yours.
Ortelian hosts and operates the platform. Agents can only reach what they are given, and every step can be checked.
- Access
Each agent gets only the tools its job needs, never open computer access. Connecting a system does not grant access by itself.
- Approvals
Actions that leave the company, such as sending an email or an invoice, wait for a person. Approval points are set before a workflow goes live.
- Changes
Every change to an agent or workflow is shown in full before it goes live. Each run records the version it used.
- Records
Every action is recorded, with the sources behind it.
- Ownership
You own your data and world model, and can export both, along with the full history of how your agents were set up.
- Model providers
Agents use models with zero data retention only. Your data is never used to train models.
We agree access, model providers and data handling for your deployment before we start.
Let’s work through the fit.
Bring the systems you use and where the work gets stuck. We’ll show how Ortelian would fit and work through your data and access requirements.