Demo listing. This page uses illustrative seed metadata to demonstrate the Atlas. Claims shown here are not verified product facts.
Contextkeep
Project knowledge plane and governed skills OS
Model-agnostic knowledge plane and skills OS that turns project drawings, contracts, specs and company memory into cited retrieval and permissioned skill runs.
Last verified 15 Sept 2026 · Updated 23 Sept 2026 · Metadata v5
Problem
Teams paste client documents into personal AI accounts and cannot prove what an agent touched on a live project.
Outcome
Tenanted project knowledge with citations, permissioned skills and an audit trail for every retrieval and agent action.
Who uses it
- Solution Architect
- Head of AI
- Operations Analyst
- AI Platform Team
Key capabilities
Project knowledge spaces
IncludedTenanted spaces with project isolation, residency and revision supersede.
Domain:
spacesCited retrieval
AI-assistedIncludedAnswers grounded in project documents with mandatory citations.
Domain:
retrievalGoverned skill runs
AI-assistedIncludedPermissioned, versioned skills with approval gates for side effects.
Domain:
skillsAgent action audit
IncludedImmutable log of retrievals, tool calls and approvals.
Domain:
audit
Typical workflow
Cited answer and skill run
Trigger: A PM asks a project question or runs a skill against a knowledge space
AI-assisted
Stage 1: Retrieve with citations
System
AI-assisted
Stage 2: Draft skill output
System
Human checkpoint
Stage 3: Approve side effects
Project manager
Automated
Stage 4: Record audit events
System
Task Automated AI-assisted Human checkpoint Decision
About this foundation
Contextkeep is the operating system for contractor AI between consumer chat tools and project systems of record. It assembles project knowledge bases with revision control, runs reusable skills under permission scopes, and audits every answer citation and agent side-effect. It does not replace Procore or Aconex as the system of record, does not train foundation models, and does not own estimating, field execution or commercial instruments — those belong to Quantspan, Crewspan and Awardbind.
Related applications
- Planvector
Construction drawings intelligence
- • Addresses the same problem: Document Overload, Fragmented Systems
- • Shared capabilities: Document Intelligence
- Aetherlab
Enterprise AI model lifecycle control plane
- • Addresses the same problem: Fragmented Systems, AI Governance Gap
- • Shared capabilities: Approval Workflow
- Lexa Knowledge Desk
Grounded enterprise knowledge assistant
- • Addresses the same problem: Document Overload, Fragmented Systems
- • Shared capabilities: Knowledge Retrieval
- Quantspan
Estimating and quantity take-off workspace
- • Addresses the same problem: Document Overload
- • Shared capabilities: Document Intelligence, Approval Workflow
- Crewspan
Day-to-day project execution cockpit
- • Addresses the same problem: Fragmented Systems
- • Shared capabilities: Approval Workflow
- Baselinecast
Baseline and earned-value control tower
- • Addresses the same problem: Fragmented Systems
- • Same industry: AEC & Built Environment
Cited answer and skill run
Trigger: A PM asks a project question or runs a skill against a knowledge space
AI-assisted
Stage 1: Retrieve with citations
System
AI-assisted
Stage 2: Draft skill output
System
Human checkpoint
Stage 3: Approve side effects
Project manager
Automated
Stage 4: Record audit events
System
Actors
Project manager, Digital champion
Outputs
- Cited answer
- Skill run record
Evidence generated
- Retrieval and approval audit
Exceptions
- Uncited answers are rejected before publish
Task Automated AI-assisted Human checkpoint Decision
Included ships in the foundation · Configurable is switched or tuned per customer · Extension is customer-specific build scope · Planned is on the roadmap and not available today.
Project knowledge spaces
IncludedTenanted spaces with project isolation, residency and revision supersede.
Domain:
spacesCited retrieval
AI-assistedIncludedAnswers grounded in project documents with mandatory citations.
Domain:
retrievalGoverned skill runs
AI-assistedIncludedPermissioned, versioned skills with approval gates for side effects.
Domain:
skillsAgent action audit
IncludedImmutable log of retrievals, tool calls and approvals.
Domain:
auditFoundation model training
PlannedTrain models on customer documents.
- Architecture class
- Domain-driven design, OpenAPI-first
- Bounded contexts
- 6
- API-first
- Yes — OpenAPI contracts are authoritative
- Identity
- Enterprise OIDC / SAML via the fazeZERO identity blueprint; tenant-aware role-based access.
- Multi-tenancy
- Tenant-aware
- Service boundaries
- 6 bounded contexts behind one API server.
- Integration approach
- Ports-and-adapters: every external system sits behind an adapter; OpenAPI contracts for inbound APIs.
- Eventing
- Integration events via transactional outbox.
- Storage abstraction
- Repository interfaces; DynamoDB or relational adapters.
- Deployment pattern
- Containerized API + web application; infrastructure as code per cloud profile.
- Architecture version
- 1.0
Approved domain names
- spaces
- documents
- retrieval
- skills
- audit
- identity
- Web Application
- API Server
- Application Services
- Domain / Generated Core
- Adapters
- Customer Systems
Generator source, templates and factory orchestration are proprietary and are not part of this listing.
Reference Adapter: shipped and tested · Previously Integrated: delivered before · Standard API Pattern: integrates via a documented pattern · Customer-Specific: built in your implementation.
Document Management
| Integration | Status | Direction | Method |
|---|---|---|---|
| Procore / Aconex / SharePoint | Standard API Pattern | inbound | REST API |
AI / Model
| Integration | Status | Direction | Method |
|---|---|---|---|
| Model providers | Standard API Pattern | outbound | REST API |
Identity
| Integration | Status | Direction | Method |
|---|---|---|---|
| Enterprise identity | Reference Adapter | bidirectional | OIDC |
Deployment
- Deployment models
- Private Cloud, Customer Cloud
- Cloud profiles
- Azure Profile, AWS Profile, Cloud-Neutral
- Containerized
- Yes
- Regions
- GLOBAL, UAE, SAUDI ARABIA
Cloud profiles describe approved deployment patterns. They are not formal marketplace certifications.
Data handling
- Stores customer data
- Yes
- Data leaves customer environment
- Configurable
- Uses external AI provider
- Configurable
- Sends logs externally
- No
- PII expected
- Determined during customer configuration
- Data-residency support
- Yes
- Subprocessors required
- Determined during customer configuration
Identity & access
- Authentication
- OIDC, Entra ID, SAML
- Authorization
- Role-Based, Tenant-Aware
- Source availability
- Proprietary
Support
- Implementation
- Delivered by fazeZERO or a certified partner during the Solution Definition and AI Production Sprints.
- Production support
- Production support available under a separate support agreement.
- Contact
- support@fazezero.com
Badges
fazeZERO Verified
Listing metadata and published technical claims have been reviewed by fazeZERO.
Issued 23 Sept 2026
Evidence shows that this listing represents real engineering. Internal metrics are only published when fazeZERO has approved them for publication.
Build
Automated tests
Deployment validation
- Last verification
- 15 Sept 2026
- Release
- 1.0.0
- Architecture version
- 1.0
- Listing metadata version
- 5
- Last published
- 23 Sept 2026