For CTOs & Head of Data/AI

Ship Agents. Skip the Plumbing.

Secure MCP tool brokering, model-agnostic governance, in-process SQL over your data lake, continuous fleet audits. The platform layer your team would otherwise build.

The platform pieces your team would otherwise build

Skip the eighteen-month internal build. ContextGate is the layer your platform team would have had to assemble out of a policy engine, an audit pipeline, a tool broker, and a model router.

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MCP-native tool brokering

Agents discover and call tools through MCP. Every call routes through ContextGate first — policy check, redaction, audit log.

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Model-agnostic governance

OpenAI, Anthropic, DeepSeek, your own. Swap backing models without rebuilding policy logic — same rules apply everywhere.

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In-process SQL over your data

Agents query S3, GCS, or Azure Blob in SQL — auditable, repeatable, no LLM math hallucination, no data copying out.

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Continuous fleet audits

Workspace assistant audits every agent for drift, off-allowlist tools, PII regressions — and tunes prompts from run history when asked.

For CTOs & Head of Data/AI

Every tool call, brokered.

Curate which of 2,000+ pre-built MCP connectors each agent can reach. Block, allow, or require approval on every call. Same MCP standard your team already uses — just with policy and audit in front of every request.

Browse all 2,000+ connectors
Secret Backends
GCP Secret Manager, AWS Secrets Manager, Azure Key Vault
Health Monitoring
Automatic health checks and status tracking
Auto-Discovery
Sync tools and resources from MCP servers automatically
1000+ Apps
Composio integration for third-party OAuth connections

For CTOs & Head of Data/AI

In-process SQL over your data.

Agents query Parquet, CSV, and JSON across S3, GCS, and Azure Blob via SQL — auditable, repeatable, no data copying out. No LLM math hallucination because the model never does the math.

Auditable Calculations

Every number your AI produces comes from a SQL query you can inspect. No black-box formulas — just transparent, reviewable logic.

Agents Work Together

One agent pulls client data from HubSpot, another generates invoices from it. They share the same tables — no manual copy-pasting.

Version History

Automatic snapshots with time-travel restore. If an agent writes bad data, roll back to any previous point in seconds.

Database
Query and manage your workspace data
Version History
Query EditorDuckDB
-- Agent: "What did we invoice last quarter?"
SELECT client_name, SUM(amount) AS total
FROM invoices
WHERE created_at BETWEEN '2026-01-01' AND '2026-03-31'
GROUP BY client_name ORDER BY total DESC;
Results3 rows · 12ms
client_nametotal
Acme Corp£42,500.00
Bright & Co£28,750.00
Delta Services£15,200.00

Plug into your existing data lake

Amazon S3
Query Parquet, CSV, and JSON files directly in your S3 buckets via SQL — no copy, no ETL.
Google Cloud Storage
Same in-process SQL across GCS-hosted datasets. Tables stay where they live.
Azure Blob Storage
Read tabular data straight from Azure containers — credentials governed by ContextGate, not your agent.

Turn it into charts

Charts and dashboards from any SQL result

Agents (or you) can generate charts directly from query results — bar, line, pie, time-series — and pin them to a workspace dashboard. Visualisations stay in sync with the underlying data; refresh and they update. No BI tool to wire up, no separate export step.

For CTOs & Head of Data/AI

Continuous fleet audits, on autopilot.

Workspace assistant runs continuous audits across every agent — drift, off-allowlist tools, PII regressions. Ask it to analyse run history and tune prompts. Less rebuilding, more shipping.

Agent Supervisor

Audit every agent in this workspace against the Client Data Protection policy. Flag any agent missing PII redaction or sending bank account numbers downstream.

list_agentscompleted
Result
  • Found 18 agents across 4 teams
audit_agentscompleted
Result
  • 14 agents pass all rules
  • 4 agents failing (PII leakage, model + tool violations)

Audit complete. Finance Reconciliation Bot is the highest-risk finding — it’s emitting IBANs through xero_search_invoices. I can apply the iban_redaction rule from your Client Data Protection policy and re-run the audit. Approve?

Compliance audit · 18 agents

Triggered by audit_agents · Finished 12s ago

14Pass
4Fail
Finance Reconciliation Bot· owned by Finance Ops
IBANs visible in xero_search_invoices output. Missing iban_redaction rule.
Missing: IBANMissing: Sort code
Sales Deal Summariser· owned by Revenue Ops
Person Names redaction was disabled this week — names now leaking into the CRM summary tool.
Missing: Person names
Clinical Trial Helper· owned by R&D
Model swapped to a non-allowlisted preview model — fails the AI Act model-governance rule.
Violation: Model
Support Triage Agent· owned by Customer Success
New connector (Intercom) added without an MCP tool allowlist — agent can call any Intercom tool.
Violation: Tools
Audit Preparation Agent· owned by Compliance
All rules pass. Last evaluated 12s ago across 47 tool calls.
GDPRHIPAAISO 42001
Next scheduled audit · Tomorrow, 02:00 UTC · cron 0 2 * * *

Continuous audits

Run policy checks across every agent on a schedule, on every config change, or on demand — without writing one-off scripts.

Catch violations early

Flag agents that fail any rule — new tools added, redactions disabled, non-allowlisted models — before an auditor or regulator does.

One-click remediation

The Agent Supervisor proposes the fix, links the policy gap to a remediation, and applies it once you approve — keeping a full audit trail.

Get in Touch

Ready to govern your AI agents? Let us know about your use case and we'll help you get started.

Get in Touch