Documents retyped by hand
~98% of fields read correctlyhand-verified test set
We build custom AI and automate costly workflows. Proven on your data, deployed in your systems, handed over to your team.
By our founding team at a previous firm. Clients anonymised under NDA.
Recognise one? Its case shows how we solved it.
~98% of fields read correctlyhand-verified test set
5,000+ hours savedclient-reported result
Private AI on the client's own servers
Zero personal data sent to public AI
A placement platform that reads every insurer's reply
Full pipeline visibility for leadership
SKU price and range tracking inside the client's perimeter
Targeted 15% sales lift at SKU leveltarget
A multi-agent research desk on the client's servers
Results to follow
Delivered by our founding team at a previous firm. Clients anonymised under NDA.
Pick the one that sounds like you. Each ends in work you own.
Four fixed phases, typically about three months to live, with one founder accountable throughout.
Map the workflow, rank the opportunities, and agree the scope in writing.
You: pick the process
Test a working proof on your data. Review weekly demos before accepting the build.
You: accept the proof
Deploy in your systems, with documentation and training for your team.
You: sign off go-live
Six months of defect fixes included. Changes and new scope are quoted separately.
You: own it
Commercials: fixed fee per phase, or a retainer for a quick proof of concept.
Delivered by our founding team at a previous firm. Clients anonymised under NDA.
One founder answers for every line.
The founder who scopes it stays accountable through go-live and the six months after.
A fixed scope and a fixed fee for each phase, agreed before work starts.
Nothing moves to the build until you accept the proof on your real data.
Deployed on your infrastructure, with personal data masked before any model.
The code, the weights we train for you and the data, in your repositories.
Defects fixed at no cost for six months after go-live.
When to choose someone else: for a company-wide transformation programme, a large consultancy fits better. If an off-the-shelf tool already does the job, buy the tool.
Tell us about one costly process. A founder replies within two working days.
Start with the problem. Agree the right next step together.
For example:
Source-to-pay platform for procurement teams. With design partners.
A way to monitor decisions and trace how your AI systems behave.
What buyers ask us before a first call.
Ideolyst is an AI services firm that builds production AI for companies, and a venture studio that backs builders who are still employed. For companies, we build and hand over production AI. For builders, we fill the gap you can't while you keep your job.
We hand over. For custom builds, we hand over the code, the weights we train for you and your data. We publish our phases and stay six months after go-live. Six months included: defects fixed at no cost; changes and new scope are quoted.
Yes. India and the US today, remote-first, on-site for scoping and go-live.
Advise is a fixed fee for one to two weeks. Build phases are fixed fee each. Engines are pay-per-use. We quote after understanding your workflow, data and deployment needs.
Yes, that is the point. You keep your job and your IP. Cohort 1 opens from the waitlist.
The Ideolyst founding team did, at a previous firm, before Ideolyst existed. They are published with that attribution. iProcure is a product Ideolyst builds and runs.