ContextGate Hero

Turn Rogue Agents into Enterprise Employees

Built to solve the liability, compliance, and tooling challenges that block your agent adoption.

What blocks agent deployment?

Ungoverned write-access risks $4.5M in liability per incident

No logging or redaction blocks 85% of deployments

80% "Dark Data" prevents grounding and spikes hallucinations/inaccuracy.

ContextGate Lets You Govern Agents

Navigation Menu

Stop "All-or-Nothing" Access. Mitigate Liability Risk.

Centrally manage connections, group tools into managed reusable "Toolboxes" and granularly whitelist actions. Allow an agent to read_task but explicitly block delete_task to prevent data loss.

Solve SOC2 Failure with Full Visibility.

Eliminate "Black Box" anxiety. Every agent action is logged, monitored, and auditable. Our gateway sits between your LLM and your data, automatically redacting PII (In & Out) to ensure compliance.

Activity Logs
Toolbox Configuration

Governed Agent Toolboxes

Stop writing custom MCP wrappers and RAG tooling. ContextGate standardizes your entire stack (SaaS tools, banking data, databases) into the Model Context Protocol (MCP) automatically and start provisioning agents access tooling instantly.

Cut hallucinations, cut token costs 40%+.

Stop context stuffing your agent with unnecessary tools and large tabular datasets. ContextGate's standard run_sql_query tool lets agents get auditable answers directly. No data warehouse needed.

Queries run in-process against real-time data. Only exact answers reach the LLM, drastically cutting context window usage.

Query Tool

Evolving Beyond the Standard AI Gateway

As enterprises move from simple AI chatbots to autonomous agents that take action, a standard AI gateway is no longer enough. You need a purpose-built architecture that secures the entire agent workflow, not just the API connection.

ContextGate Proxy Architecture

Feature Comparison: Standard vs. Context Gate Proxy

FeatureStandard AI GatewayContext Gate Proxy Architecture
Primary FocusManaging LLM API ConnectionsSecuring & Optimising Agent Workflows
Security ModelSingle-stage (often just prompt filtering)Dual-stage, defense-in-depth (Input Guard + Tool Guard)
PII RedactionBasic, often limited to user prompts.Comprehensive. Redacts PII from user inputs, tool payloads, and tool results.
Tool ManagementNone. Tools must be hardcoded in the application.Dynamic Tool Discovery. Agents query the proxy to find available tools (e.g., via MCP).
Tool ExecutionApplication connects directly to tools.Secure Proxy. All tool calls are routed, inspected, and executed through the proxy.
Unified Search ToolingNone.Provides no-copy SQL search tooling.
Ideal Use CaseSimple Chatbots, Text SummarizationAutonomous Agents, Action-Taking AI

One Container. Two Layers of Defense.

Deploy a single Docker container to govern both your AI's conversation (via Proxy) and its actions (via Universal MCP).

Keep your data within your perimeter. ContextGate is architected for zero-trust enterprise environments.

Step 1: Deploy(Infrastructure)

docker run -d -p 8080:8080 contextgate/enterprise

establishes your data perimeter.

Step 2: Connect(Configuration)

Securely add LLM keys and connect enterprise tools (Salesforce, Snowflake) via pre-built connectors.

Step 3: Govern(Toolboxes)

Create a "Finance Agent Toolbox." Enable read_invoices but explicitly disable delete_invoice.

Step 4: Integrate(Two-Line Code Swap)

Chat: Point your LLM client baseURL to

https://gate.internal.corp/v1

Tools: Connect your MCP client to

https://gate.internal.corp/mcp/finance-toolbox

Self-Hosted

Deploy as a lightweight Docker container directly within your private cloud. Your sensitive customer data never leaves your VPC.

Drop-In Proxy

Acts as a transparent proxy—simply replace your standard API endpoint URL with your private ContextGate instance.

Total Control

You maintain full ownership of encryption keys, logs, and access policies.

The Founder

Founder Profile

Adam Cooke is a second-time founder who previously co-founded an enterprise data visualization platform. He brings deep expertise in R&D, presales and positioning data integration tools specifically for the enterprise clients.

Adam Cooke
Adam's Experience

Interested in a pilot implementation?

We are currently providing "white glove" implementation & support for interested companies. In exchange for a letter of intent. Contact Adam.

What Partners Receive:

Total Access to Product Backlog & Feature Requests.

Custom Connector Factory (We build what you need).

Priority Support (Direct engineering slack channel).

Unlimited Usage & Workspaces.

Contact Adam via email: adam@contextgate.ai