Open-weight by default, frontier models by choice
Match model access to quality and data requirements, with external providers enabled explicitly.
From the implementation side
Insights
Ideas, field notes and practical perspectives on putting AI to work.
More perspectives
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Describe your AI offer so people can verify it
Clear product pages help people understand the platform, deployment choices and service boundaries.
Reading a document is different from updating your ERP
Separate knowledge and document consultation from structured extraction, validation and system integration.
What an agent can do in your workspace
A useful agent has a defined task, appropriate knowledge and clear permissions. External actions need an additional scope.
A confident answer still needs a source
Build review habits around company knowledge and defined agent tasks, without promising error-free AI.
Give company AI a shared, approved workspace
Reduce fragmented personal use with useful tools, clear access and an agreed data boundary.
Choose the model around the work and the data
Quality, location, licensing and operating costs matter more than a single provider preference.
A platform first. The right technologies behind it.
The business buys workspace, knowledge and agents; the implementation choices support that experience.
Agents and workflows: where the platform ends and extensions begin
Use agents for knowledge and drafting. Add business-system actions through a separately defined integration.
Put an idea to work.
Bring the idea into your workspace. Explore dedicated cloud or on-premise with our team.