Models, agents and automated workflows built for a defined job in your business. Proven on your data and deployed inside your systems.
A custom AI build is a model or agent designed for one job in your business, trained or fine-tuned on your data, and measured against a definition of done agreed before the build starts. It runs inside your systems and your team operates it.
AI workflow automation takes a process your team already runs and already budgets for, and runs it with fewer hands and fewer errors, without replacing the systems it lives in. Agents handle the repetitive and judgment-heavy steps; people keep the decisions that need them.
On-premise AI deployment runs fine-tuned models entirely inside your own infrastructure or private cloud. No data leaves your perimeter, there is no third-party API in the loop, and the model weights are yours to reuse across future projects.
AI consultancy at Ideolyst is a fixed-fee, one-to-two-week process mapping that tells you where AI genuinely fits in your operation, where it does not, and what the first build should be. You get a written map, use cases ranked by return, and a quote. You can take it to anyone.
Typically about three months from the start of Advise, depending on scope and data readiness. Advise takes one to two weeks, Prove three to four weeks, and Go live about two months.
01
1–2 weeks
Use cases ranked by return, scope fixed in writing
Fixed fee
02
3–4 weeks
A working proof of concept on your data, weekly demos
Fixed fee
03
~2 months
In production, on your infrastructure, your team trained
Fixed fee
04
6 months
Six months included: defects fixed at no cost; changes and new scope are quoted.
Included
05
ongoing
Optional retainer for monitoring and new processes
Monthly retainer
Custom-build code, the weights we train for you and your data are handed over in your repositories. Packaged engines are priced by usage; confirm their deliverables and terms separately.
Insurance marketplace, India
LiveDelivered by our founding team at a previous firm. Clients anonymised under NDA.
Logistics network, India
LiveDelivered by our founding team at a previous firm. Clients anonymised under NDA.
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.
Typically about three months from the start of Advise, depending on scope and data readiness: Advise one to two weeks; Prove three to four weeks; Go live about two months.
For custom builds, the code, the weights we train for you and your data are handed over to your team. Packaged engines use volume-based pricing; confirm their deliverables and usage terms when scoping the engagement.
Yes. India and the US today, remote-first, on-site for scoping and go-live.
Tell us what your team does today, where it gets stuck and what a better outcome would look like.