Software & AI Consulting

We build custom web applications, internal tools, APIs, and cloud-native systems for startups and growing companies. Engagements range from a 2-week prototype to a multi-quarter platform build, and our engineers stay involved through deployment so the thing we hand back actually works in production.

Most of our software builds are TypeScript / Next.js / Node on the front end, with Python or Go services on the back end and Postgres or Cloud SQL underneath — but we adapt to whatever your team already runs. We default to clean code, real test coverage, and CI/CD from day one rather than as an afterthought.

AI consulting is the work we get hired for most often right now. We help product teams figure out where AI actually fits — and where it doesn't — and then we build it. That means scoping the right model, the right context window, and the right evaluation strategy, not just dropping a chatbot on top of your homepage.

On the build side we ship RAG pipelines, agent workflows, structured-output extraction, and full LLM-powered features on top of OpenAI, Anthropic, Google Vertex AI, and open-source models. On the operations side we set up evaluation harnesses, observability, cost controls, and prompt regression tests so the system stays useful as the underlying model providers change underneath you.

We design and run modern cloud infrastructure on Google Cloud Platform, AWS, and Azure. Most of our work is on GCP (Cloud Run, GKE, Cloud SQL, Vertex AI) but we are platform-agnostic and pick the right tool for the workload, not the loudest one.

Typical engagements include greenfield infrastructure for a new product, migrations from one cloud or one architecture to another, and platform-engineering retainers where we own a team's CI/CD, observability, and on-call so they can focus on shipping features.

We help engineering teams ship secure software without grinding to a halt. That covers the practical work — secrets management, IAM, network architecture, dependency hygiene, vulnerability scanning — and the audit-driven work for SOC 2 and HIPAA, where we focus on the controls that actually reduce risk and pass scrutiny.

For founders preparing for their first SOC 2 audit, we typically run a 4-6 week readiness engagement: gap analysis, control implementation, evidence collection, and walking the auditor through the technical environment.

Some of our highest-leverage work is performance engineering on systems that are already in production. We profile applications, find the actual bottleneck (it's almost never where teams think it is), and fix it — usually some combination of database query patterns, caching, async work, and cutting unnecessary network round-trips.

Engagements are typically 2-6 weeks and result in measurable improvements to p95 latency, infrastructure cost, or both. We hand back the profiling tooling so your team can keep finding wins after we leave.

For teams that need ongoing senior engineering support but don't need (or can't justify) another full-time hire, we offer monthly retainers. Typical shapes: a fixed block of hours for feature work, on-call coverage for a critical system, or office hours for a team that wants a sounding board.

Retainers are month-to-month with no long-term lock-in. If you only need us for one quarter, that's fine — we'd rather earn the renewal.