AI Solutions
We build AI into products people actually use. Agentic workflows, LLM features and automation, engineered by a team that establishes where AI adds real value before recommending it.
Built the original product giving pharma direct text-message access to doctors, now one of the fastest-growing healthcare businesses in the US.
Built a collaborative, AI-assisted platform that automates screening of thousands of medical studies from PubMed, Google Scholar, and file uploads for medical device regulatory audits.
Developed an AI writing assistant, a real-time industry news monitor, and a firm-wide content calendar, while maintaining strict data separation across different financial organisations.
Built the GenAI platform turning team conversation transcripts into measurable behaviour intelligence.
Built a production backend and data layer beneath a Lovable-generated frontend, turning a non-technical founding team's prototype for co-managing blocks of flats into a working platform they could take to investors.
Building out the mobile apps behind their patient insight platform for the pharma industry.
Overview
We build AI into real products, not demos. From LLM features inside your app to agentic systems that complete whole workflows, engineered to hold up in production.
AI is part of how we think about every brief now, but it is not the answer to every brief. Before we propose a build, we spend time on the workflow you want to improve, what it costs you today, and what a good outcome actually looks like. Sometimes that leads to an agent. Sometimes it leads to a much simpler piece of software and an honest conversation.
Where AI is the right call, we ship it with the parts people skip: retrieval that returns the right context, evaluation harnesses so quality is measured rather than assumed, and guardrails around what the system is allowed to do. Senior developers own the architecture and the security decisions. AI accelerates our team; it does not replace them.
Partnering with Old.St Labs
Why choose Old.St Labs for AI solutions?
Feasibility Before Commitment
Evidence before budget.
Before you commit to a build, we test the idea properly: a working prototype or a small pilot against your real data, alongside an ROI analysis that puts a number on what a better outcome is worth. You see whether it works, and what it's worth, before serious money is spent. If the answer is no, we'll say so.
LLM Features In Your Product
The features your users are starting to expect.
Assistants, search that understands meaning, summarisation, content generation: we design and build LLM features that belong in your product rather than bolt-ons. Every feature ships with evaluation and guardrails, so quality is measured and the system behaves when real users get creative.
Evaluation & Guardrails
Quality you can measure, behaviour you can trust.
The difference between an AI demo and an AI product is what happens on the bad days. We build evaluation sets that define what correct looks like, monitor quality in production, and put guardrails around what the system is allowed to do and say. Boring, essential, and usually skipped.
Agentic Workflow Automation
Software that takes the action, not just the notes.
Agentic AI is most useful where a repeatable, multi-step process is burning human time. We map the process, decide which steps the system should own, and keep a person in the loop wherever the cost of being wrong is high.
AI Solution Lifecycle
Steps we follow to create your AI solutions
01
Discovery & Feasibility
We get under the skin of the workflow: who does it today, how long it takes, and what a good outcome is worth. Then we test the hard assumption early with a prototype against your real data, so the decision to build is based on evidence rather than a vendor demo.
02
Prototype & Evaluation
You get an interactive, high-fidelity prototype in days, not quarters, wired to a real model. Alongside it we build the evaluation set that defines what correct looks like, so quality is a number you can watch rather than an opinion.
03
Build & Integration
Agile delivery with regular demos. Retrieval, orchestration and the surrounding application are built together and integrated with the systems you already run, with senior developers owning architecture, code quality and security decisions throughout.
04
Monitor & Improve
Models move and so does your business. We keep the evaluation running in production, review where the system is getting it wrong, and apply new capabilities as they land. For most of our clients launch is the start of a longer partnership, not the end of a project.
Tech stacks
We select modern, battle-tested tools designed for speed, security, and long-term maintainability
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Engineering & AI Stack
Design & prototyping
Engineering & AI Stack
Engineering & AI Stack
Design & prototyping
Engineering & AI Stack
Cloud & Infrastructure
Design & prototyping
Engineering & AI Stack
Engineering & AI Stack
Engineering & AI Stack
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Engineering & AI Stack
Engineering & AI Stack
Engineering & AI Stack
Engineering & AI Stack
Cloud & Infrastructure
Engineering & AI Stack
Collaboration & Management
Testimonials
Real-world impact, narrated by the teams we’ve accelerated. This is what happens when human vision meets our AI-integrated build cycles
FAQs
Got questions? We've got answers.
Everything you need to know about how we build, ship, and partner with you
Will my product include AI features?
Only if it should. AI is part of how we think about every brief, but it isn't the answer to every brief. During discovery we work out where AI would create real value in your product and where conventional software does the job better. Plenty of what we build includes AI features; some of our best work is talking a client out of them.
What's "agentic AI" and do I need it?
Agentic AI is software that completes multi-step tasks on its own: reading documents, updating systems, drafting outputs, and escalating to a person when it's unsure. It's most valuable where a repeatable process is burning staff time. Whether you need it depends on the process, and that's exactly what our discovery phase works out.
How much AI experience does Old.St Labs actually have?
We've delivered more than 60 products over six years, and around a dozen include AI components, from LLM features to agentic workflows. Just as importantly, we've rebuilt our own delivery process around AI tooling, so we use this technology every day ourselves rather than reselling something we've only read about.
Do you use AI to build the software itself?
Yes, extensively. Our build process uses AI tooling throughout, which is why we ship faster than traditional agencies at comparable rates. Senior developers own every architecture, code quality and security decision: AI accelerates the team, it doesn't replace it. You get the speed without the fragility of vibe-coded software.
Who owns the code and the intellectual property?
You do. All code, designs and intellectual property we produce for you transfer to you, and we hand over repositories and documentation at any point you ask. There's no lock-in: if you build an in-house team later, they inherit a codebase that's documented and maintainable.
How much does an AI project cost?
Most AI engagements fall between £10,000 and £100,000, depending on the complexity of the workflow and the systems we're integrating with. Every project starts with discovery and feasibility, so before the build begins you'll know the full cost, and you'll have seen evidence the idea works against your real data. We work with UK and US clients and can quote in pounds or dollars.
Is our business data safe?
Yes. We design around your data security from the start: your data isn't used to train public models, access is scoped and auditable, and where requirements are strict we can deploy within your own cloud environment. Security decisions sit with senior engineers, and we'll walk your team through the architecture in plain English.
We know AI should be doing something for our business, but we're not sure what. Can you help?
That's how many of our best engagements start. We're operators as well as engineers, so we begin with your business rather than the technology: where time is being lost, what a better outcome is worth, and which processes are ready. Then we test the most promising idea against your real data before you commit to building anything.
Services
Explore our full suite of product capabilities. We build connected digital ecosystems that drive growth across every screen
Mobile App Development
High-performance iOS and Android apps built for scale
AI Solutions
Smart automation and LLM integration to supercharge your workflow
UI/UX Design & Prototyping
High-fidelity designs and interactive prototypes users love
Web App Development
Web applications built around how your business runs.
Contacts
Let's talk
High-quality results, delivered fast by a team you trust
Rob Lynch
Co-Founder
After starting his career in banking and renewable energy investment, Cambridge Master of Finance graduate Rob L. founded CityMunch in 2016, an award-winning restaurant deal app that raised two rounds on Seedrs and reached 100,000 users.
Rob Woodhead
Co-Founder
Rob co-created EV Technology in 2017, an award-winning business helping vehicle fleets transition to electric, after an initial career in corporate finance and private equity across London and New York. He co-founded Old.St Labs to be the development partner he wished he'd had as a non-technical founder.
