For organizations
Make your team's understanding easier to build on.
When reasoning stays with the people who worked it out, others depend on their availability to move forward. Cognizable is being built to make that context explorable, so colleagues can ask their own questions and bring people in where their judgment is needed.
Start with a situation you already recognize.
A handover that needs repeated explanations. A decision whose background is scattered across discussions. A question that needs another team's knowledge before anyone can move forward.
Choose one situation, the people involved, and a manageable set of relevant material as a starting point.
See how it worksSet the boundaries for using it.
Human review
People review and explicitly commit what becomes durable project context. Open questions can remain open.
Data and model choices
Where information is processed, which model endpoints are used, and who operates the system are part of evaluating a deployment.
Continuity beyond one provider
Cognizable separates preserved project context from the models that use it. Portability is a design requirement; the export format is still being developed.
Your data, your choice of models and deployment.
Read our stance on data control, AI providers, and deployment.
Data, models, and deploymentWhat would make a first trial useful?
We can start by discussing where context gets lost, who would contribute and use it, and what would count as an improvement. That includes the effort of preparing and reviewing material, alongside any reduction in repeated explanation or searching.
Cognizable is in development. The current prototype demonstrates exploration, reviewed capture, and reuse in a new conversation. A first organizational trial would need an agreed scope and suitable data and access arrangements.
Interested in the thinking behind the product?
Why we're building Cognizable