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AI Agent Governance Platform
Turn Rogue Agents into Trusted Team Members
Deploy safe, secure, and compliance-approved AI agents. We solve the liability and tooling challenges that block your adoption.
Your AI Assistant
Governed by ContextGateUser
ContextGate Guard
POLICIES+
PII Protection−∧
Block:EMAIL_ADDRESS, PHONE, SSN
LLM
Google Geminigemini-2.5-protemp: 1
Toolbox
POLICIES+
Notion Behavior Gov...
CONNECTIONS+
Notion
24 tools
Google Drive
18 tools
Slack
12 tools
What Blocks Agent Deployment?
$4.5M
in liability per incident
Ungoverned write-access risks
85%
of deployments blocked
No logging or redaction
80%
"Dark Data"
Prevents grounding, spikes hallucinations
MCP Connectors
Connect to 0+ Apps
Give your AI agents secure access to real data. Use our pre-built connectors, or connect to any MCP server URL—all governed by your policies.
0 apps
OAuth & API Keys
Secure authentication flows with credentials stored encrypted.
Real-time Audit
Every data access logged and visible in your dashboard.
Policy Enforcement
PII redaction and access rules applied to all connector data.
Vendor Agnostic
Works With Any Model Vendor
Stay independent from model vendors. ContextGate sits between your application and any LLM provider, so you can switch models without changing your governance rules.
OpenAI
Anthropic
Google Gemini
Groq
OpenRouter
GitHub Models
Azure OpenAI
Bring Your Own
Switch Freely
Change models without touching your governance configuration.
Same Governance
One set of policies applied consistently across all providers.
No Lock-in
Negotiate better rates and avoid vendor dependency.
Comply
Guarantee Compliance Without Breaking Functionality
Upload your policy documents and specifications — ContextGate's AI assistant builds production-ready, governed agents for you. No technical knowledge required.
PII Redaction
Automatically detect and redact emails, phone numbers, SSNs, credit cards, and custom patterns.
Policy from Docs
Upload your privacy policy or compliance document to auto-generate governance rules.
LLM Governance
Use AI-powered checks to verify intent, consent, and data minimization compliance.
Workspace Assistant
300+ Policy TemplatesGDPR, HIPAA, SOC 2, PCI-DSS & more
Pre-built rulesCustomisable checks
PII Redaction
Governance Checks
GDPR Data Purposellm
Verify data access aligns with stated processing purpose...
If violated:block
Consent Verificationllm
Check user consent flag exists in request context
If violated:warn
Data Minimizationllm
Ensure only necessary data fields are being accessed...
If violated:block
Live Preview
Before:Contact john.smith@acme.com at +1-555-123-4567
After:Contact [EMAIL] at [PHONE]
Control
Full Visibility on Every Agent Decision
Monitor, filter, and audit every request in real-time. Get dashboards with key metrics and drill down into individual tool calls with full request/response details.
12,847Total Requests (24h)
+12%234Blocked by Policy
1.8%1,203PII Redactions
-5%120msAvg Response Time
-8msRequests Over TimeLast 7 days
Policy ActionsLast 24h
Allowed85%
Redacted10%
Blocked5%
Top Tools by Usage
Recent Alerts3 new
Rate limit approaching for user_abc5 min ago
Blocked bulk delete attempt12 min ago
New toolbox "Analytics" created1 hour ago
Real-Time Metrics
Track request volume, policy actions, and response times across all your agents in one dashboard.
Audit Logs
Every request is logged with full context. Filter by user, tool, policy, status, and date range.
Instant Alerts
Get notified when policies block requests, rate limits approach, or anomalies are detected.
Quick Start
3 Simple Steps
Go from zero to governed AI in minutes — no deep technical knowledge required.
1
Step 1: Create a Governed Agent
No technical knowledge required
Use the workspace assistant to describe what your agent should do. Upload policy documents, compliance specs, or just describe your rules in plain English.
Upload PoliciesPlain English RulesAuto-Configuration
2
Step 2: Test Your Agent
Built-in sandbox environment
Try your governed agent in a safe sandbox before going live. Verify that policies are enforced, PII is redacted, and tools are properly restricted.
Safe SandboxPolicy VerificationAudit Logs
3
Step 3: Integrate
Chat UI or OpenAI-compatible API
Use the built-in chat interface directly, or drop ContextGate into your existing stack as an OpenAI-compatible endpoint. One URL change — that's it.
Chat InterfaceOpenAI Completion APIVPC Proxy AI Gateway
Drop-in OpenAI-compatible endpoint — works with any client, framework, or tool:
from openai import OpenAI
# Drop-in replacement — just change base_url!
client = OpenAI(
api_key="your-api-key",
base_url="https://api.contextgate.ai/v1"
)
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "user", "content": "Hello, how are you?"}
]
)
print(response.choices[0].message.content)SaaS or Self-Managed
Use as SaaS or self-host as a lightweight Docker container in your private cloud.
Drop-In Proxy
Acts as a transparent proxy—simply replace your standard API endpoint URL.
Total Control
You maintain full ownership of encryption keys, logs, and access policies.
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.
Feature
Standard AI Gateway
ContextGate Proxy
Primary Focus
Managing LLM API Connections
Securing & Optimising Agent Workflows
Security Model
Single-stage (prompt filtering)
Dual-stage defense-in-depth
PII Redaction
Basic, limited to prompts
Comprehensive (inputs, payloads, results)
Tool Management
None (hardcoded in app)
Dynamic Tool Discovery via MCP
Tool Execution
Direct connection
Secure proxy inspection
Unified Search
None
No-copy SQL search tooling
Our Team
Adam Cooke
Founder & CEO
Adam 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 enterprise clients.
John Dreic
Chief Marketing Officer
10+ years driving large-scale change, leading content strategy, AI adoption, and digital transformation across global financial institutions. Built in-house creative and automation teams, implemented AI workflows, and delivered multimillion-dollar efficiency gains.
Sandor Szabo
MBA, CIPP US - Compliance Expert
Compliance and privacy expert ensuring ContextGate meets the highest standards of data protection and regulatory requirements.
Brian Munz
Dev Relations Expert
Developer advocate and community builder, bridging the gap between ContextGate's technology and the developer ecosystem.
Sean Farrington
Board Advisor
Strategic advisor providing guidance on enterprise growth and market expansion.
Gary Hobbs
Board Advisor
Board advisor with extensive experience in enterprise software and go-to-market strategy.
Self-Host in Your Environment
Deploy ContextGate as a Docker container inside your VPC or private cloud. Just one dependency: a PostgreSQL database.
docker run -d -p 8000:8000 \ -e DATABASE_URL=postgres://... \ contextgate/enterprise:latestWhat Partners Receive:
- Single Docker container — deploys in minutes
- Runs in your VPC, AWS, GCP, Azure, or on-prem
- Your data never leaves your environment
- Use your own MCP servers & custom model providers
- Priority support & custom connector development