Enterprise
Context Engineering for Modern Enterprises
Build AI systems your organization can trust — with governance, workspace isolation, and shared knowledge across every team.
Challenges
Enterprise AI Challenges
Every problem below maps to a ContextLab capability.
AI knowledge scattered across teams
Centralized Organization Brain & shared workspaces
No prompt standards
Prompt Libraries & Blueprints
No shared memory
Persistent Workspace Memory
Duplicate work
Templates & context reuse
Inconsistent AI results
Strategy Cache & AI Gateway
Knowledge lost when employees leave
Managed Organization Brain & versioning
No governance
Approval workflow & policies
No audit trail
Timeline & audit log
Architecture
ContextLab as your Organizational Context Layer
Organization
Departments
Workspaces
ContextLab
Memory · Organization Brain · Libraries · Policies · Blueprints
Any AI Provider
Teams
Enterprise Features
Everything you need to run AI at organizational scale
Workspace Management
- Organization Workspace
- Multi-team Support
- Role-based Access Control
- Private Libraries
- Private Organization Brain
- Private Prompt Templates
Context Control
- Context Versioning
- Approval Workflow
- Workspace Analytics
- Timeline
- Diff & Inspector
AI Gateway
- BYOK
- Custom Gateways
- Strategy Cache
- CtxRoute
- Universal Export
Operations
- Audit Logs
- Organization Settings
- Enterprise Dashboard
- API Access
AI Governance Center
Consistency across every AI usage
Prompt Governance
Standards & review for every prompt
Knowledge Governance
Curated, approved Organization Brain
Approval Workflow
Multi-step approval flow
Context Review
Review context before production
Version History
Full change history
Audit Trail
Log every AI decision
Responsible AI
Guardrails & usage policies
Policy Enforcement
Enforce policies across teams
Knowledge Lifecycle
No more duplicated knowledge
Knowledge
Review
Approve
Organization Brain
Organization Standard
Reusable Across Teams
Security
Secure by design
- Workspace Isolation
- Encrypted Storage
- Private Context
- Private Libraries
- Private Organization Brain
- Workspace Permissions
- API Key Isolation
- Secure AI Gateway
Compliance roadmap
We're on the path to full enterprise readiness.
SOC2GDPRPrivate CloudOn-premise
Deployment
Deploy wherever you need
Cloud
Managed SaaS
AvailableHybrid Cloud
Mix cloud & on-prem
AvailablePrivate Cloud
Deploy to your VPC
Coming soonOn-premise
Your infrastructure
Coming soon Integrations
Connect with your stack
Google WorkspaceMicrosoft 365SlackDiscordGitHubGitLabJiraLinearNotionConfluenceWebhookREST API
Industries
Solutions across every industry
Team Workspace
Scales seamlessly across teams
Organization
Departments
Projects
Workspaces
Members
Roles
Knowledge
Analytics & ROI
Measure the real impact of your AI
1.2M+
AI Calls
34%
Cache Savings
$180K
Cost Saved
62%
Prompt Reuse
+220%
Knowledge Growth
9,400h
Time Saved
Illustrative — your dashboard shows your own workspace metrics.
Enterprise Libraries
Curated assets for enterprise teams
LearnHub
Enterprise learning paths
Partners
Verified implementation partners
No verified partners yet. Be the first.
Documentation
Everything your team needs to know
FAQ
Frequently asked questions
The discipline of designing the context (knowledge, policies, memory) that feeds AI — so its outputs are consistent and reliable.
Ready to adopt AI safely?
Let's talk enterprise — pilot, demo, or architecture review.