We deliver structured, fixed-scope engineering evaluations designed to eliminate technical risk before you deploy automated intelligence or autonomous tool-calling loops into production.
A structured 3-week technical audit of your repositories, data hygiene, and API infrastructure before committing engineering budget to AI integrations.
Our flagship advisory engagement evaluates codebase modularity, API telemetry, structured data consistency, and architectural constraints to produce an actionable, risk-scored implementation roadmap.
Focused 2-week audits addressing specific friction points within distributed architectures, legacy monoliths, and data pipelines.
A targeted programming audit focused on decomposing monolithic codebases, resolving hidden state leaks, and implementing robust interface boundaries.
An in-depth technical examination of your data ingestion queues, embedding generators, semantic index configurations, and context-assembly pipelines.
We audit your internal and external REST/gRPC endpoints to ensure functions exposed to automated agents cannot trigger unauthorized state changes or resource exhaustion.
Every consulting project is conducted under strict confidentiality agreements with explicit non-destructive, read-only repository inspection standards.
Sign bilateral non-disclosure agreements and establish read-only repository access tokens.
AST code traversal, schema inspection, database index analysis, and token load modeling.
Compile the technical readiness matrix, refactoring diff recipes, and risk ratings.
Lead an interactive technical workshop with your engineering directors and senior staff.