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Data & AI
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.
What it is
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
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
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.
Toolchain integration
AI assistants are embedded directly into your development workflow — automated PR review, security analysis, and documentation generation on every commit.
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.
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
Frontend
Backend
AI & ML
Sample deliverables
Related work
FAQ
See how it works
Tell us about your project and we'll have a proposal ready within 48 hours.