For developers
Build AI that already understands the business.
Give agents, copilots, and applications one governed source of business context — the people, clients, matters, transactions, documents, decisions, and permissions behind the work — so your product begins with understanding instead of rebuilding it.
One context layer. Every approved model, agent, application, and workflow. Percidian-managed or your cloud.
ACEIndexIdentityPurposeMemoryPermissionEvidenceThe architecture
One request path, whichever surface you build on.
Send the task, the requesting identity, and the purpose through the Context API or MCP; the same governed response comes back — compact, cited, permission-aware — through either interface.
Two entry points, one engine, one response. Select a surface to open its reference.
Change the model. Change the application. Keep the understanding.
Connect once
Give the model what the work requires.
Most enterprise AI development begins with the same unfinished work: connect another source, reconcile another identity, recreate another permission model, and teach another agent what the company’s information means. Percidian does that work once and makes the resulting understanding available wherever AI operates.
Ask in business terms
Inherit enterprise permissions
Reuse what the enterprise knows
Keep outputs grounded
Efficient by design
Prompts become smaller. Understanding persists.
Without shared context, every agent searches the same systems, rereads the same files, and reconstructs the same relationships. Percidian compounds that work into durable enterprise memory and sends each model only the context the task needs.
Per-product retrieval
- Every agent searches the same systems and rereads the same files.
- Entire repositories are sent to the model because nothing narrower is trusted.
- What one product learns, the next one reconstructs.
- Every prompt spends tokens explaining the business again.
One governed memory
- Enterprise information processed once into reusable understanding.
- The task-relevant facts and relationships, and nothing more.
- Useful knowledge persists across models, applications, workflows, and teams — the same governed memory beneath every authorized experience.
- Prompts become smaller, repeated retrieval falls away, and token spend goes to reasoning and output — not to explaining the business again.
Identity, evidence, routing, and deployment controls:SecurityDeployment
Bring your business into every AI decision
Give every approved AI system the context to do its best work.
Connect the knowledge your organization already has. Preserve what it learns. Apply the permissions it already trusts. Make that understanding available wherever people and agents work.