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Data & AI

AI-Powered Development

Ship 3× faster without sacrificing quality

We embed AI into every phase of your development cycle — from requirements to review. Our engineers pair with large language models trained on your codebase, accelerating feature delivery while maintaining the quality bar your users expect.

See how it worksSee our work

What it is

The full picture

Context-aware code generation

Models fine-tuned on your repo generate idiomatic code that passes your lint rules and test suite on the first attempt.

Automated code review

Every pull request is pre-reviewed for security issues, performance regressions, and architectural drift before a human sees it.

Intelligent refactoring

Safely modernise legacy codebases at scale — from upgrading dependencies to migrating frameworks — with rollback checkpoints.

AI pair programming sessions

Live, interactive coding sessions where our engineers and AI models work side-by-side with your team.

Who it's for

Right for you if…

Engineering teams accelerating feature delivery and founders who need AI features in their product but can't afford to wait for internal ML expertise to develop.

Our approach

How we work

  1. 01

    Codebase audit & model selection

    We assess your repository structure, coding conventions, and CI setup to choose the right model family and integration approach for your context.

  2. 02

    Toolchain integration

    AI assistants are embedded directly into your development workflow — automated PR review, security analysis, and documentation generation on every commit.

  3. 03

    AI pair programming

    Our engineers work alongside your team in live sessions, accelerating output while transferring the prompting patterns and evaluation practices that get consistent results.

  4. 04

    Evaluation & improvement loop

    We instrument the system with an evaluation harness that tracks model output quality over time and surfaces regressions before they reach users.

Tech we use

The toolbox

Frontend

ReactNext.js

Backend

Node.jsPython

AI & ML

OpenAI APILangChain

Sample deliverables

What you receive

  • AI-integrated CI/CD pipeline with automated code review
  • Fine-tuned prompts calibrated to your coding conventions
  • Evaluation harness with quality metrics and drift alerts
  • Runbook for AI toolchain maintenance and model updates

Related work

Projects using this service

RetailOS · E-Commerce Technology

RetailOS: From 6.2s Load Time to 1.1s

RetailOS's storefront was bleeding conversions — a 6.2-second LCP on mobile was costing them an estimated $340K/month in lost revenue. We rebuilt the frontend from the ground up in Next.js and cut load time by 82%.

1.1s

LCP (mobile)

2.3%

Conversion rate

Read case study

DataPulse · Business Intelligence

DataPulse: Natural Language Analytics for SaaS Teams

DataPulse wanted to let non-technical customers query their data warehouse in plain English. We built a RAG-powered analytics layer that translates natural language questions into accurate SQL — with explainability built in.

71%

30-day retention

47s

Time-to-insight

Read case study

FAQ

Common questions

We embed AI at every stage of your development cycle — not as a layer on top, but as part of how we work. That means AI-assisted code generation trained on your codebase, automated pre-review of every pull request, intelligent refactoring tools for legacy code, and LLM-powered features inside your product itself. We always start with your specific context rather than applying generic AI tooling.

We offer full-stack product engineering, AI and LLM integration, cloud infrastructure and DevOps, UX and design systems, security audits and compliance support, and blockchain and smart-contract development. Most clients engage us for a combination of these — we rarely work on just one layer because the best systems are designed cohesively across the stack.

Both. We work with seed-stage founders who need to build their first production system alongside Series B and C teams adding a specialist practice they don't have in-house. The common thread is that our clients are serious about what they're building — budget-conscious experimentation isn't a great fit for the way we work.

See how it works

Ready to start?

Tell us about your project and we'll have a proposal ready within 48 hours.

Start a conversationSee case studies