Context infrastructure
for enterprise AI.
Keel is not a search tool. It is the layer between your enterprise data and your AI — ingesting, structuring, and serving verified context through a single production API.
<500ms
p95 retrieval
99.9%
Uptime SLA
150+
Connectors
0.94
Avg confidence
Architecture
How the platform fits together.
Four layers. One consistent API surface. Zero data migration required.
Enterprise Sources
Your existing infrastructure · no migrationDocuments
PDF · Word · MD
Databases
SQL · NoSQL · DW
SaaS Tools
CRM · HR · ERP
Code Repos
GitHub · GitLab
Messaging
Slack · Teams
Object Storage
S3 · GCS · Azure
Auto Ingestion · Parsing · Chunking · Classification
AutoGraph Engine
Automatic knowledge extraction · live · self-maintainingEntity Extraction
People · Orgs · Policies · Contracts
Relationship Mapping
Links between entities
Schema Inference
Auto-detected structure
Continuous Sync
Live updates on change
Knowledge graph constructed · Vector index built
Keel Context Layer
Keel-managed intelligence<500ms
p95
0.94
confidence
99.9%
uptime
Vector Index
Semantic embeddings
Graph Store
Entity relationships
Hybrid Search
Combined retrieval
Confidence Scoring
0–1 reliability
Source Attribution
Full citation chain
Audit Logger
Every event logged
Context API · REST · Streaming · Webhooks
AI Applications
Your AI — grounded in verified contextAI Copilots
Grounded in context
Enterprise Search
Verified answers
AI Agents
Governed automation
Chatbots
Source-attributed chat
Analytics
Context-aware insights
Workflows
Automated with context
Core Capabilities
Four engines. One context layer.
Knowledge graph,
built automatically.
AutoGraph continuously ingests enterprise data and constructs a live knowledge graph. Entities, relationships, and schema are maintained automatically — no manual curation.
Entity graph — live sample
Every source.
One pipeline.
Connect existing systems. Keel parses, chunks, classifies, and indexes across formats and systems. No data migration. Connectors sync continuously so context stays current.
SharePoint
● LIVEDocs
Salesforce
● LIVECRM
PostgreSQL
● LIVEDB
Guidewire
● LIVEClaims
Confluence
● LIVEWiki
+145 more
○ AVAILGraph-native retrieval,
vector precision.
Combines semantic vector search with knowledge graph traversal. Finds contextually relevant content and follows entity relationships — not just similar documents.
Query → Response
Query
"What is the coverage limit for Category B property claims?"
Result
confidence 0.96Policy v4.2, §12 — Category B limit: $85,000
Source: Policy Repository · 6 days · Authoritative
One API call
to trusted context.
The Keel Context API returns structured answers with confidence scores, source references, entity relationships, and audit metadata in a single HTTP call.
"answer": "Coverage limit: $85,000",
"confidence": 0.96,
"source": "Policy v4.2, §12",
"freshness_days": 6,
"entities": ["POLICY_v4.2", "CLAIM_B"]
}
Deployment
Three topologies. One API.
Your data posture, your control requirements, your deployment choice.
Keel-managed
No infrastructure to run. Connect systems, configure workspaces, start querying in hours.
Your cloud account
Keel deployed into your AWS, Azure, or GCP via Terraform. Your data never leaves your cloud boundary.
Fully self-hosted
Kubernetes via Helm. No external network dependency. Model inference stays fully on-prem.
Performance
Latency targets by operation.
| Operation | Endpoint | p50 | p95 | p99 | Notes |
|---|---|---|---|---|---|
| Retrieval | /search, /context | 45ms | 180ms | 450ms | Vector + graph hybrid |
| Evidence fetch | /evidence/{id} | 12ms | 35ms | 80ms | Direct chunk lookup |
| Chat completion | /chat | 1.2s | 3.1s | 5.8s | LLM latency included |
| Ingestion enqueue | POST /ingest/* | 120ms | 280ms | 500ms | Async · not total proc time |
Measured on cloud-hosted SaaS at 500 req/s sustained load. Private cloud and on-premise latency depends on hardware configuration.
Get Started
Stop letting your
AI guess.
See how Keel gives your AI agents, copilots, and applications the verified context they need to answer correctly — every time, with a source you can point to.