Services

End-to-end tech consulting & delivery

Six ways we help, from the first architecture decision to the system running at scale.

01 — Service

Software Architecture

We design system architecture you can build against and grow into — clear boundaries, named trade-offs, and a path from the system you have to the one you need.

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02 — Service

Product Engineering

We build the product end to end — full-stack development, clean API design, and a deploy pipeline — shipping working software in increments instead of a big reveal.

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03 — Service

Technical Strategy

Senior technical judgment without a full-time hire — a fractional CTO who audits what you have, sequences the roadmap, and helps you make the calls that are hard to reverse.

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04 — Service

Platform Integrations

We connect your systems so data moves reliably — API integration, workflow automation, and middleware built to survive the failures that integrations always hit.

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05 — Service

Engineering Sprints

A dedicated engineering team for a fixed window — rapid prototyping or focused feature development with a clear goal, working software each week, and a clean handoff.

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06 — Service

Growth & Optimization

We make the system you have faster, cheaper, and steadier under load — performance optimization, infrastructure and cost optimization, all measured before and after.

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Our six services cover a product's full life: architecture, data and backend, AI and LLM systems, frontend and product engineering, cloud and infrastructure, and ongoing platform work. They're designed to fit together end to end, but you rarely need all of them at once. This page explains how the services connect and how to tell which one you actually need right now -- the answer is usually narrower than it first appears.

How the services fit together

Think of the services as one pipeline seen from different angles. Architecture decides the shape of the system. Data and backend make it real and reliable. AI and LLM work adds intelligence on top of that foundation -- never beneath it. Frontend and product engineering turn the system into something a person can use well. Cloud and infrastructure make it run safely and affordably at scale. Platform work keeps it healthy after launch. Each service hands a clean contract to the next, which is exactly how we build them: with the seams designed, not improvised. The pipeline view also explains our ordering bias -- structure and data come before intelligence, because intelligence built on a weak foundation doesn't survive contact with production.

When you need which

Start with where the pain is sharpest. If you're unsure what to build or how the pieces should fit, you need the architecture engagement first -- it's the cheapest place to fix expensive mistakes. If the system exists but buckles under load or data is a mess, that's data and backend. If you want an LLM or RAG feature that's actually trustworthy, you need the AI work, but usually with a data pass underneath it. If the product works but feels wrong to use, that's frontend and product engineering. If costs or reliability are slipping, that's cloud and infrastructure. And if it all works but no one's tending it, that's platform work. Most engagements begin with one service and pull in others only as the real need surfaces.

FAQ

Common questions

Architecture reviews, full product and platform builds, scaling and modernization of systems under load, and grounded AI and LLM features. Each is a way to engage us; underneath, they draw on the same senior architecture, backend, data, and frontend capabilities.

If you need a decision validated, start with an architecture review. If you're building something new, a product build. If an existing system is straining, a scaling or modernization engagement. Unsure? A short call sorts it out — we'll recommend the smallest service that solves it.

Yes. Real engagements usually blend them — a build that includes architecture, backend and API work, frontend, and a grounded LLM feature. We assemble the mix your problem needs rather than selling each piece separately or padding the scope.

Scoped services like an architecture review are typically fixed-fee, so you know the cost up front. Ongoing or open-ended work — extended builds, continuous partnership — runs as a monthly retainer. We recommend whichever fits the work and shields you from surprises.

Yes, and we build them to stay grounded. AI work is architected on retrieval and RAG against your own data, with constraints and checks so unsupported answers are caught before users see them. We build features you can trust in production, not demos.

Book a short, free call and describe the problem. We'll point you to the service that fits, propose an approach and timeline, and tell you honestly if we're not the right partner. No obligation, and you'll talk directly to an engineer.