Context
Live enterprise memory
- Context graph
- Graph-aware retrieval
- Ontology and provenance
- Node-level access controls
Pricing
Custom pricing for your governed workflow
Wexa is scoped around the workflow you want to productionize, the systems it touches, and the deployment boundary your enterprise requires. Book a demo to map the architecture and receive a tailored proposal.
Included Platform
One governed control plane. No stripped-down tier.
Every proposal starts with the full Wexa architecture. Scope changes with connector count, workflow complexity, support, and deployment posture, not with weaker governance.
Connectivity
Your systems and models
- 85+ connectors
- MCP endpoints
- Any hosted or BYO model
- Cloud and event ingestion
Governance
Controls before execution
- Policy-as-code
- Simulation and dry-run
- Human approval gates
- Scoped action registry
Evidence
Proof attached to every action
- Immutable audit trail
- Policy decisions
- Approval lineage
- Evidence exports
Deployment
Run inside your boundary
- Public cloud
- Private VPC
- On-premises
- Air-gapped environments
Enterprise
Built for your operating model
- OIDC, SAML, and SCIM
- Tenant and department scopes
- Usage and cost analytics
- Enterprise support
Pricing Inputs
Your proposal follows the architecture you need.
We scope pricing from five concrete inputs so the commercial model matches the production path, not an arbitrary seat count.
01
Workflow
The governed action and business outcome
02
Systems
Connectors, events, and source complexity
03
Scale
Context volume and execution frequency
04
Boundary
Cloud, VPC, on-prem, or air-gapped
05
Support
Pilot, rollout, and operating coverage
Token Economics
Graph-aware retrieval reduces the cost of every governed query.
Wexa sends the connected neighborhood instead of the full knowledge base. The measured comparison is 2,668 tokens versus 202,285 for the same retrieval boundary.
Tokens per query vs knowledge base size
Full-context RAG0tokens / query Wexa graph retrieval0tokens / query
Tokens / query
Knowledge base size
98.7% fewer tokens
$599 saved per 1K queries
at $3/1M input tokens
Measured benchmark, 202,285 to 2,668 tokens per query. Engine benchmark, 2026.
Next Step
Map the workflow first. Price the right architecture second.
Bring one production workflow to a 30-minute demo. We will map the context, policies, models, systems, and deployment path required to govern it.