Scattered
What your business knows is spread across dozens of systems. No model can reason over data it can't reach.
CameoDB · implementation & consulting
The intelligence layer between your data and your AI
CameoDB indexes everything your business knows and serves it to AI as grounded, citable answers. Your decisions and plans rest on your data, not on a model's guess.
CRMERPContractsSupport ticketsLogsTelemetrySpreadsheetsThreat intelFinanceDocs & wikisInventoryEmail archives
CRMERPContractsSupport ticketsLogsTelemetrySpreadsheetsThreat intelFinanceDocs & wikisInventoryEmail archives
The problem
AI doesn't fail for lack of intelligence.
It fails for lack of context.
Guessed
When context is missing, models fill the gap with something plausible. Plausible is not good enough for a board deck or a budget.
Unaccountable
An answer without a source can't be checked, defended or audited. That's why it never makes it into a real decision.
How it works
One layer. Three jobs.
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01
Index everything
Text, numbers, dates and identifiers, all fully indexed. Lookups by ID take a direct key-value path, so an agent can pivot from one record to the next instantly.
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02
Describe what it means
Every index and field carries its type, its capabilities and a plain-language description. Your AI learns what the data is, not just what the columns are called.
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03
Serve grounded answers
Agents query through MCP across many indexes in a single call. Every hit is tagged with its source, and the AI answers only from what comes back.
Use cases
Where the layer earns its keep.
Executive decision support
Briefings assembled from live company data, with every claim traceable to its record.
Which accounts are most at risk this quarter, and why?
Planning & forecasting
Ground plans in what actually happened across sales, finance and operations before deciding what happens next.
What drove the variance between plan and actuals in Q3?
Threat intelligence
Pivot across indicators, hashes and reports in one federated query, and get the provenance on every hit.
Where else have we seen this file hash?
Incident & operations
Correlate tickets, logs and changes so responders start from evidence instead of a blank page.
What changed before the outage began?
Compliance & audit
Read-only retrieval with cited sources gives auditors answers they can verify line by line.
Show every contract with a non-standard liability clause.
Customer intelligence
One view of each customer across CRM, support and usage, ready for any agent or analyst.
Summarize everything we know about this account.
Principles
- Grounded, not guessed. Answers come only from what the layer returns. Nothing gets filled in from a model's memory.
- Every answer has a source. Each hit names the index it came from, so every claim can be cited.
- Read-only by design. The AI retrieves and synthesizes. Ingestion happens elsewhere, under your control.
- Partial is never whole. If a source can't be read, the answer says so instead of passing off half the picture as the full one.
Consulting
We don't sell you a database.
We install your intelligence layer.
Discover
Map your sources and the decisions you want AI to support. Agree on the use cases that matter first.
Implement
Ingestion, schemas, field descriptions and MCP wiring to the AI tools your teams already use.
Enable
Use cases go live with your people. We train teams to ask better questions and to trust the answers.
Evolve
New sources, new agents, new decisions. The layer grows with the business.
Give your AI something worth knowing.
Tell us which decisions you want your data behind. We'll show you the layer that gets it there.
cameodb.ai@gmail.com