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

Scattered

What your business knows is spread across dozens of systems. No model can reason over data it can't reach.

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

  1. 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.

  2. 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.

  3. 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.

agent ⇄ cameodb · mcp

          
Illustrative session

Use cases

Where it makes a difference

Leadership

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?
Strategy

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?
Security

Threat intelligence

Pivot across indicators, hashes and reports in one federated query, and get the provenance on every hit.

Which files share this signer certificate, and which domains did they reach?
Operations

Incident & operations

Correlate tickets, logs and changes so responders start from evidence instead of a blank page.

What changed before the outage began?
Governance

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.
Revenue

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

Consulting

We don't sell you a database
We install your intelligence layer

01

Discover

Map your sources and the decisions you want AI to support. Agree on the use cases that matter first.

02

Implement

Ingestion, schemas, field descriptions and MCP wiring to the AI tools your teams already use.

03

Enable

Use cases go live with your people. We train teams to ask better questions and to trust the answers.

04

Evolve

New sources, new agents, new decisions. The layer grows with the business.

FAQ

Questions, answered from the source

What is an intelligence layer?

It is a single layer made of indexes over your business sources, from CRM and contracts to support tickets, finance and logs. Every index and field carries a plain-language description, so any AI can query it and answer from your own records instead of a model's memory.

How is this different from typical retrieval for AI?

Typical retrieval fetches text chunks that resemble the question. CameoDB fully indexes text, numbers, dates and identifiers, so an agent can filter by date or amount, look records up by ID and search across many sources in a single call. Every hit names the index it came from, so every answer can be cited.

Which AI tools can use CameoDB?

Any agent or assistant that speaks MCP, the Model Context Protocol. That includes Claude Code, Claude Desktop, Cursor and Windsurf, which connect with one configuration block.

Does the AI get write access to our data?

No. AI access is read-only by design. The AI retrieves and synthesizes, while ingestion happens separately, under your control.

Where does our data live?

On infrastructure you choose. CameoDB is a single binary for Linux, macOS and Windows that runs as one node or as a mesh, so the layer can sit next to the data it indexes.

What does a consulting engagement look like?

Four phases. Discover maps your sources and the decisions you want AI to support. Implement covers ingestion, schemas, field descriptions and MCP wiring. Enable takes use cases live with your teams. Evolve adds new sources, agents and decisions as the business grows.

How do we get started?

Email info@cameodb.ai and tell us which decisions you want your data behind. The first step is a working session on your sources and use cases.

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.

info@cameodb.ai