Services

AI development services, scoped to end in a working system

Six services covering the arc from deciding what to build to operating it in production. Every one starts with fixed-price scoping, and the scope is yours whether or not you continue with us.

  • 6 weeks to first agent
  • Fixed-price scoping
  • Code in your repository

What does Leverge build?

Leverge offers six AI engineering services: agent development for processes that need autonomous execution, RAG development for answering over your own documents, LLM application development for features inside an existing product, evaluation and observability for systems whose quality nobody can currently measure, integration work connecting AI to your existing systems, and consulting for teams deciding what to build. Every engagement starts with a fixed-price scoping sprint whose output you own regardless of whether you continue.

Agents and AI systems in production
40+
Clients across India, the US and Europe
25+
Typical time to first system live
6 weeks
Engineers on the team
30+

How engagements work

How does an engagement usually start?
With a 30-minute technical call, then a paid two-week scoping sprint. The call is with an engineer, not a salesperson, and its only purpose is to work out whether the thing you want is feasible and worth doing. The scoping sprint produces a written architecture, an evaluation plan, a cost and latency model, and a build estimate. You own all of it whether or not you continue with us — that is deliberate, because a scope you cannot take elsewhere is not a scope, it is a lock-in.
How do you price work?
Scoping sprints are fixed price. Build work is priced per milestone against the scope produced in that sprint, and ongoing operation is a monthly retainer sized to the number of systems under management. We avoid open-ended time and materials on new builds because it puts the risk of a bad estimate on you rather than on us. Exact numbers depend on scope and region, and we will give you a range on the first call rather than after three meetings.
How long before something is actually in production?
Six to ten weeks for a first agent or RAG system in a typical mid-size company, measured from the end of scoping to real users on real data. The variable is almost never the model work — it is data access, security review and deciding who signs off on the agent's decisions. Engagements that stall usually stall on those three, which is why we surface them in week one rather than week six.
Can you work inside our existing codebase and team?
Yes, and it is the more common arrangement. We embed with your engineers, work in your repository, follow your review process and hand over with documentation and a recorded walkthrough. The goal is that your team can extend the system without us. If you would rather we own a component outright and deliver it as a service, we do that too, but we will always tell you which of the two is cheaper for you over two years.
You are in India and the US — how does that work in practice?
Delivery is led from Bengaluru with a four-hour daily overlap with US Eastern hours, and a US entity for contracting, invoicing and on-site work when a client needs it. Standups happen in the overlap window, and async written updates cover the rest. For teams on US Pacific time we shift the overlap later in the Indian day. The practical effect is a working day that is longer than either team's, not shorter.
Why not just build this with our own team?
Often you should, and we will say so. Hiring makes more sense when AI is going to be a permanent core competency, when you have eighteen months of runway to get the first system right, and when you can compete for the talent. Bringing us in makes sense when you need the first system working this quarter, when the failure modes are unfamiliar and expensive to learn on live traffic, or when you want your own engineers trained by working alongside people who have already made those mistakes.

Next Step

Tell us what you are trying to automate

A 30-minute technical call with an engineer who has shipped this before — not a sales qualification round. You leave with a feasibility read, a rough shape for the build, and an honest answer about whether it is worth doing at all.

Book a Technical Call
  • No sales script
  • NDA on request
  • Scoping notes sent within 48 hours
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