>_ Founders
Founder-led by experienced operators
John Reid
- 0→1 AI agent infrastructure product (Signals by Snowplow.io): conception, development & delivery.
- 10+ years of product & data expertise at VC-backed startups & scale-ups across Southeast Asia and Europe.
- Launched four 6-figure ARR enterprise products; defined growth strategy for a 100m+ GMV consumer business across 4 markets.
James Reid
- 0→1 operational product experience building Iceberg: an integrated contract, vendor and billing management platform.
- Operations and data engineering lead at a Singaporean insurtech through a hyper-growth period.
- CFA, MBA, 4+ years M&A advisory at Rand Merchant Bank.
Why we started reidworks
We're two brothers, based between Cambridge and London, with backgrounds in real-time data, fintech, and manufacturing. We started reidworks because the ground was shifting under our feet. AI has opened a huge new frontier: businesses can do more, build better products, automate the grunt work, and create customer experiences people actually enjoy. So we left our corporate IT jobs to get hands-on and build in it.
Our thesis is simple. AI can close the gap between the people who build software and the people who use it. We've lived it: putting tools directly in users' hands took feedback cycles from months down to hours, and it's a delight to watch. We'd love to help your business get there too.
How we work
We do our best work with companies that run on a lot of operational data they can't act on fast enough. Usually a 30-to-500-person business in manufacturing, payments, logistics, or a similarly data-heavy field: plenty of real-time data, but the insight lands a day late in a dashboard, and the knowledge of what matters sits in one or two people's heads.
Build on your stack
We work in your repos and environments with standard contributor access, on the data and tools you already run. Your data stays yours: retrieved at query time, never trained into a model.
Move fast, then make it safe
A working agent goes in front of real users in week one. The evals, observability, and access controls come in before anything important depends on it.
Built to be left
We make ourselves leaveable. Ownership transfers to your team as we build, so you can run and extend the agent without us.
Model- and framework-agnostic
We work with Claude, OpenAI, and Gemini, build on Vercel, AWS, and GCP with tools like LangChain and n8n, and scale from no-code setups to full custom engineering. We pick the stack that fits the problem.
>_ Let's Talk
Keen to
connect?
A workflow you want to automate, data your team can't easily query, or a product feature that could use an agent — we'd like to hear about it.