Context Engine Pricing

Enterprise organizational intelligence

• Build a structured model of your organization:
  • Extract entities, relationships, dependencies, and architectural patterns from code, documentation, APIs, and infrastructure
  • Continuously updated knowledge graph that evolves as your systems and workflows change
  • Unifies structured and unstructured data into a single, queryable context layer
• Reason across systems, not just files or documents
• Support for multi-step reasoning and structured queries

Works with your existing agentic tools

• Compatible with multiple coding agents and development environments:
  • Cursor
  • GitHub Copilot
  • Claude Code
  • Tabnine agents
  • Custom internal agents and automation frameworks
• Agent-agnostic architecture—no requirement to standardize on a single tool
• Shared organizational context across multiple agents and workflows

Dependency and architecture awareness

• Trace service dependencies and relationships across systems
• Evaluate blast radius before changes are made
• Understand architecture, workflows, and cross-system behavior
• Enable safer refactoring and modernization initiatives

Verification and governance

• Validate outputs against:
  • Architectural constraints
  • Coding standards and organizational policies
  • Security and compliance requirements
  • Business logic and workflow rules
• Reduce hallucinations and prevent unsafe changes from reaching production
• Support human-in-the-loop workflows and approval checkpoints

Context ingestion and synchronization

• Connect to repositories, documentation, ticketing systems, APIs, and infrastructure metadata
• Continuous synchronization keeps context current and relevant
• Correlate data across multiple systems and domains
• Enrich context with inferred relationships and metadata

Hybrid Graph + Vector reasoning

• Combine semantic retrieval with structural reasoning
• Multi-hop reasoning across dependencies and relationships
• Answer complex questions that require system-level understanding

Multi-agent coordination

• Shared memory layer for multiple agents working across different tasks
• Consistent understanding of systems, rules, and architecture
• Improved collaboration between specialized agents

Deployment and security

• Flexible deployment options – SaaS, VPC, on-premises, or fully air-gapped
• Zero data egress architecture options
• Connect to systems that cannot be moved to the cloud
• Enterprise-grade access controls and authorization boundaries

Outcomes and impact

• Up to 2× improvement in agent accuracy*
• Up to 80% reduction in token consumption by eliminating blind exploration*
• Up to 50% faster time to resolution on complex tasks*
• Improved code quality and reduced technical debt
• Faster onboarding and knowledge discovery

Support

• Priority ticket-based support during business hours
• Architecture and onboarding guidance for building enterprise context
• Training on deploying and operating agentic workflows with enterprise context

* Results based on internal benchmarks and customer environments; outcomes vary depending on implementation and use cases.