Sirca

Make your company understandable to AI.

Sirca turns the knowledge inside your company into trusted context that people can ask questions of, and AI systems can use safely.

Find the answer

Ask questions across documents, messages, CRM, project tools, databases, and internal systems without knowing where the answer lives.

Trust the answer

Every response is grounded in company sources, with provenance, permissions, and conflicting evidence handled visibly.

Use it everywhere

The same context layer can support teams directly and power chatbots, agents, analytics, automations, and internal tools.

The problem

Your business already knows the answer. Your AI does not.

The information that explains how a company works is scattered across tools, documents, people, systems, and history. Search can find fragments. A chatbot can summarise a file. Neither understands the operating context of the business.

Sirca gives AI that missing context: what exists, who owns it, what changed, what evidence supports it, and how everything connects.

How it changes work

A learning layer for the whole company

01

Connect the systems your company already uses

Sirca reads the tools where work happens: documents, databases, messages, project tools, CRM, email, and operational systems.

02

Build a living model of the business

People, projects, customers, assets, documents, decisions, and risks resolve into one connected picture that updates as the company changes.

03

Give people and AI the context they need

Teams ask in plain language. AI applications call one trusted layer instead of rebuilding fragile retrieval for every workflow.

Why it matters

AI becomes useful when it has institutional memory.

The next wave of internal AI will not be won by isolated tools. It will be won by the companies that make their own knowledge usable by every person and every AI system.

Teams stop losing time searching, copying, and reconciling context across tools.
Leadership gets answers that are current, sourced, and usable for decisions.
Internal AI projects stop failing because the model lacks company context.
Permissions, provenance, and auditability stay part of the system by default.

Trust

Built for decisions, not demos

Source-traceable

Every answer can point back to the exact source behind it.

Permission-aware

Users only see knowledge they are already allowed to access.

Always current

When the source changes, the company context changes with it.

Give every AI application the context your company already has.

One trusted layer for answers, workflows, and the AI systems your organisation is starting to build.