Your AI estate has sprawled.
Get cost, control and audit back.
Mosaic is one control layer over every model, agent and data source, in every cloud. It runs inside your perimeter.
Each cloud governs what runs on it, and nothing governs the rest. Separate bills, separate rules, gaps in the audit trail. That is why AI projects stall before production. Mosaic connects all of it and replaces nothing you run today.
Start a 30-minute conversation →Each cloud governs what runs on it.
Nothing governs the rest.
Separate bills, separate rules, gaps in the audit trail. A problem can run unnoticed because no one is watching the whole estate.
One control layer.
Every model, agent and data source behind it.
Callers send requests to Mosaic instead of straight to a model, an agent or a data source. Mosaic grants, checks, caps and records each call, then passes it on. It runs inside your perimeter and replaces nothing you run today.
- 01 / API
Calls to models and services, with cost and policy applied to each one.
- 02 / A2A
Agent-to-agent traffic, governed under the same policy and the same audit trail.
- 03 / MCP
Tool and data access through Model Context Protocol servers, under the same policy.
Every call meets a checkpoint.
Some calls stop.
Budgets stop calls when the limit is hit. Policy is checked on every transaction. Each decision is recorded, so spend and behavior stay visible.
Every transaction meets a traffic cop.
Mosaic checks each call before it reaches a model, an agent or a data source. Cost accounting happens in the same step as the policy checks.
Grant permission.
Explicit permission on both the source and the destination. This agent may use this data connection, for this call.
Check policy.
A chain of checks on every transaction. Data checks (a SQL call may only touch these fields), cost checks, and prompt checks.
Cap spend.
Budgets per application or transaction type. Calls stop when the budget is hit, such as a dev team capped at 2 million tokens.
Write the record.
Every grant, every check, and the reason each call was approved or denied. Queryable, so you can build your own reports.
Screens from the Mosaic platform
The product itself. Data shown is illustrative.
Every decision leaves a record your auditor can use.
- agent_id
- AGT-4410
- acting_for
- "Platform Engineering"
- destination
- "open-weight-llm-02"
- grants
- ["data_conn:docs-read"]
- policy_chain
- ["prompt_ok", "cost_ok", "model_allowed: FAIL"]
- budget_used
- "1.2M of 2M tokens"
- outcome
- "denied"
- reason
- "model not on approved list"
- log_id
- 9f3a…c1e2
- 01
Full stack, not just model calls
Model gateways only see traffic to a model. Mosaic also governs data connections, agent-to-agent traffic and MCP tool access, under one policy and one audit trail.
- 02
Inside your perimeter
On-premise or in your own cloud account. Prompts, outputs and logs stay inside your boundary.
- 03
Evidence an auditor can use
Every decision is logged with who, on what authority, which policy, and the outcome.
- 04
Advisory that maps it to your obligations
We map your regulatory controls onto the systems that control AI, with your risk team. Your risk team signs off.
Software plus advisory, with a fixed exit.
Mosaic is software we license. We set it up properly, tune it, test it, then hand it over. It runs in your network, so it is your system. Five phases, and the engagement ends when you say you can run it.
The same layer is a front door for outside agents.
When you are ready, the layer that governs your AI inside the business gives outside agents a governed way in. Your customers' procurement agents, and assistants like Claude, ChatGPT and Copilot, can discover and transact with you. Registered, rate-limited and logged, on your terms.
Inbound: discover & transact Outbound: act & reach out MCP Model Context Protocol · A2A agent-to-agent
Get AI cost and governance under control before the next project stalls.
Projects stall when nobody can prove control or predict the bill. A 30-minute conversation will show you where yours stands.
Start a 30-minute conversation →