Department
Platform builds, repo remediation, architecture design, and system integration. We help engineering teams ship production-ready AI systems, not prototypes that never leave staging.
Capabilities
Repository remediation for SaaS platforms. Multi-tenant isolation tests, Stripe webhook retry logic, error tracking, rate limiting, audit logging. Good/Better/Best tiers based on risk tolerance.
Full-stack platform design from data layer to UI. Modern frameworks, API design, authentication, and deployment infrastructure. Built to scale from day one.
Connect disparate systems into unified architectures. REST APIs, webhooks, event-driven pipelines, and MCP integrations. The plumbing that makes AI systems work.
Dedicated GPU deployment, model optimization, inference benchmarking, and production monitoring. Self-hosted or cloud. We run both.
How We Use It
Dedicated NVIDIA A100 80GB running quantized open-source models for production inference. Automated model benchmarking pipeline that tests new releases against 11 real-world business scenarios. Engineering scorecard tracking commits, velocity, and AI-assisted code metrics across 33 active repositories and 4 engineers via GitHub App integration.
Knowledge graph backed by Postgres with pgvector for semantic search. Automated Git backup with daily checkpoints. Nightly update pipeline that applies 6 source patches, runs npm installs, and restarts services without manual intervention.
Every tool we recommend to clients, we run ourselves first.
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