AI Integration for the Modern Workplace
We help teams adopt AI tools and build end-to-end development pipelines — from strategy to deployment.
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What We Do
AI Tool Adoption
Get your team productive with Claude Code, Cursor, Codex, Antigravity, and other AI-powered development tools. We handle training, workflow design, and ongoing support.
Development Pipeline Automation
End-to-end AI-powered pipelines that take work from issue to merged pull request — automated planning, implementation, code review, testing, and deployment with human oversight at every stage.
Codebase Health Assessments
Quantitative analysis across six dimensions — dependency health, test coverage, code quality, documentation, build systems, and technical debt — with prioritized recommendations.
Security Auditing
Comprehensive vulnerability scanning covering OWASP Top 10, secret detection, outdated cryptography, input validation gaps, authentication flaws, and infrastructure misconfigurations.
Legacy Modernization
Data-driven modernization planning for brownfield codebases — refactor vs. rewrite analysis, staged dependency updates, test scaffolding for safe refactoring, and phased migration roadmaps.
MCP & Custom Integrations
Build custom Model Context Protocol servers and integrate AI capabilities directly into your existing tools, editors, and internal platforms.
Problems We Solve
Engineering teams lose time and money to problems that compound silently. We fix the systems, not just the symptoms.
Slow Delivery Cycles
Automate repetitive development tasks — issue triage, boilerplate code, test generation, PR creation — so your team ships features faster without cutting corners.
Inconsistent Code Quality
Enforce standards automatically with quality gates at every stage of development. Documentation-first workflows ensure AI understands your patterns before writing code.
Unmanaged Technical Debt
Surface hidden debt with quantitative health scores, then tackle it systematically with prioritized roadmaps, effort estimates, and dependency-aware ordering.
Security Blind Spots
Catch vulnerabilities before they reach production — hardcoded secrets, outdated dependencies, injection risks, and weak authentication patterns identified and remediated.
Costly AI Sprawl
Optimize AI tool spending with intelligent model routing, token efficiency tracking, and cost analytics. Use the right model for the right task instead of overpaying.
Painful Modernization
Migrate legacy systems safely with characterization tests that pin current behavior, staged dependency updates with breaking change detection, and hybrid refactor strategies.
Tools & Platforms
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Ready to bring AI into your workflow? Tell us about your team and goals.