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// Service

AI Development

AI features and agents that do real work.

How we engage
Sprint, Fixed-scope build, Product partnership
Tools and stack
LangGraphLangChainClaude APIOpenAI APIGemini APIpgvectorPostgreSQLRedisTypeScriptNode.js
A network of blue and violet threads and nodes on black

// Overview

Working with us

We put language models and agents to work in your product: assistants on your data, document extraction and search, each answer checked by evaluation and guardrails before users see it.

We connect agents to your systems through MCP servers with clear limits, keep a person in the loop where it counts, and tune what each request costs and how long it takes.

// Deliverables

What you get

  • Agentic workflows

    Agents that plan and carry out tasks in your product, using your tools and data, with a person in the loop.

  • Document extraction

    Pipelines that read contracts, invoices or reports and return structured data in your format, with unsure fields sent for review.

  • Semantic search

    Search that finds answers by meaning in your documents and records, and gives AI assistants the right context to reply.

  • MCP servers and tools

    MCP servers and tools that let AI assistants work with your systems, with clear limits on what each can read or change.

  • Evaluation and guardrails

    Test sets score answers before each release, and guardrails block invented answers, data leaks and actions outside an agent's role.

  • Cost and latency tuning

    We measure what each request costs and how long it takes, then tune models, prompts and caching to meet your targets.

// Outcomes

What you can count on

  • One team, design to code

    We design and build your product in one team, so nothing is lost on the way.

  • Scope agreed before code

    We agree what will be built and how we will know it works, before any code is written.

  • Working software, often

    You see working software as we build, not slides, and you can try each demo.

  • Everything handed over

    At the end, the code, its docs and every account the product runs on are yours.

// Common Questions

FAQ

We ground each answer in your data, show its sources and test it against an evaluation set, so we can find and fix wrong answers before users do.

// How We Work

Our process

A person seen from behind reading a map of yellow sticky notes on a blue wall

We start with your users and your goal: who the product serves, what it must do first and how you will know it works. The scope follows from that.

Watercolour wireframes of three page layouts in blue, violet and green

We shape the product before we build it: user flows, wireframes and a clickable prototype you can test, then a design system that every screen draws from.

TypeScript class methods with typed parameters and return types in a dark code editor

We build in small, reviewed steps, with AI agents taking on routine work and every change tested, so you see working software early and steer it as it grows.

A hand holding a smartphone with a blank screen in front of office plants

We run automated tests on every change and check each feature by hand, on desktop and on a phone, before your users see it, so a release holds no surprises.

Blue network cables fanning out of a lit patch panel

We set up your domain, DNS, business email and SSL certificate, prepare your app store listings and run the release to production, then check that it all works live.

A row of server drive bays with green activity lights

After launch we stay on: monitoring the product, applying updates and security fixes, and building the new features your users ask for, so it keeps growing with them.

AI Development

Let's scope
your project.

Tell us what you're building and where it stands. We'll scope it with you on a call and give you a straight answer on fit.