Dedicated Teams
Vetted engineers who join your team, your tools and your delivery cadence.
Hire AI engineers
Add engineers who combine software engineering with practical language-model experience, so AI features move from prototype to something your customers can rely on.
The problem
Many teams can build an AI demo. Fewer can make it accurate, safe, affordable and maintainable.
Nobody can measure whether a prompt change made things better or worse.
Usage grows faster than the value delivered.
Customer data and model outputs handled without clear controls.
Engineers with production AI experience are hard to hire.
Our approach
Engineers are assessed on both strong software engineering and practical experience shipping language-model features.
Capabilities
Pick one capability or combine several. Each is scoped, estimated and delivered with the same engineering standards.
Summaries, extraction, classification and assistants inside your product.
Answers grounded in your documents, with sources.
Agents that use tools and APIs with defined permissions.
Test sets, quality metrics and production monitoring.
n8n and custom workflows that put AI to work across your tools.
How we work
Share the AI use case, data, stack and constraints.
Meet shortlisted AI engineers.
The engineer joins your team, tools and review process.
Adjust capacity as AI work grows.
Technology
Chosen for reliability, maintainability and fit with your existing stack.
Use cases
Common starting points. Your process will have its own details, which is why every engagement starts with discovery.
Assistants, summaries and smart search for your users.
Staff answers grounded in company documents.
Extraction and classification feeding your systems.
Hardening prototypes with evaluation and guardrails.
Industries
The patterns carry across sectors. What changes is the data, the systems and the rules, and we learn those first.
Product engineering, integrations and AI features for software companies.
Automated intake, document workflows and client reporting for agencies, consultancies and firms.
Invoice processing, reconciliation support and reporting automation.
Scheduling, intake and back-office workflows, designed with privacy requirements in mind.
Admissions, learning platforms and administrative automation.
FAQ
Straight answers to the questions that come up in first calls.
An AI engineer designs features around language models: prompts, tools, retrieval, evaluation, cost control and safety. They still need strong software engineering skills to integrate those features reliably.
Both. We match the language to your existing stack.
Yes, and for broader strategy our consulting service can help you prioritise AI opportunities before you add capacity.
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Start a project
Share the workflow, product or team challenge. We will come back with a clear recommendation and next steps.
Intro call · Fixed-scope proposal · No obligation