Services
From first AI pilot to the platform it runs on.
Six services, one delivery model. Pick the one that matches where you are today. Most clients combine two as the work grows.
Build
New AI products and the platforms they run on.
AI-First Product Engineering
Products designed around models from the first sprint: agents, copilots, retrieval and automated workflows, built with evals, guardrails and cost controls.
Platform & Data Engineering
Cloud-native platforms, event-driven systems, payments and data infrastructure that stay reliable at scale and are ready for AI workloads.
Transform
Change how existing processes and systems work, with AI doing the heavy lifting.
AI Modernization of Legacy Workflows
Digitize paper, email and spreadsheet processes and modernize the legacy systems behind them, using AI to read old code, recover business rules and automate the work.
AI Strategy & Deployed Consulting
Consultants who work inside your organization to decide where AI pays off, put the governance in place to use it safely, and stay through delivery.
Extend
Senior engineers inside your organization, accountable for outcomes or capacity.
Forward-Deployed Engineering
Senior engineers embedded in your business who own a problem end to end, from the first conversation with users to the system running in production.
Staff Augmentation
Senior engineers who join your team, your tools and your rituals, with the AI-assisted habits that make them productive from the first sprint.
Not sure where to start?
Start from the situation you are in.
| If this sounds like you | Start with |
|---|---|
| You have an AI idea and need it working in production. | AI-First Product Engineering |
| A business process still runs on paper, email or a system nobody wants to touch. | AI Modernization of Legacy Workflows |
| You need a team to own an outcome inside your business. | Forward-Deployed Engineering |
| Your roadmap is clear and you need more senior hands. | Staff Augmentation |
| You need to decide where AI fits before you build anything. | AI Strategy & Deployed Consulting |
| Your platform won't scale to what the business needs next. | Platform & Data Engineering |
Engagement models
Fixed scope or monthly. Your choice.
Every service can start small. Models can change as the work does.
| Model | Term | What it is | Best for |
|---|---|---|---|
| Readiness sprint | 2 to 3 weeks, fixed fee | A defined question answered: an assessment, an architecture review or a scored use-case portfolio. | Deciding what to do next, with evidence. |
| Pilot to production | 4 to 10 weeks, fixed scope | One use case built on your data and released to real users, against success measures agreed up front. | Proving value before a larger commitment. |
| Forward-deployed pod | Monthly | A small senior team embedded in your business that owns an outcome end to end. | Problems that cross teams and systems. |
| Team extension | Monthly, per engineer | Senior engineers who join your team, work to your plan and report to your leads. | A clear roadmap that needs more hands. |
| Embedded advisory | Monthly, part-time | A consultant or fractional engineering leader inside your organization a set number of days each month. | Steering AI and platform decisions. |
What are we building?
Tell us about the problem. An engineer, not a sales team, will reply.