Published rates, real minimums, and what actually drives the number. Based on the rate cards nine Indian and US AI development firms publish on their own directory profiles, read in July 2026.
Almost every article about AI development cost is written without any actual price data in it. This one uses the rate cards that nine firms publish on their own Clutch and GoodFirms profiles, read on 20 July 2026. Those are self-reported, but they are public, dated, and checkable, which is more than most cost guides offer.
What Indian AI development firms actually publish
Across the nine firms we researched for our comparison pages, the published hourly bands were remarkably uniform.
- $25 to $49 per hour: Appinventiv, Daffodil Software, GeekyAnts, Ksolves, Mantra Labs, Simform, Talentica Software.
- $50 to $99 per hour: The NineHertz.
- No published rate: TO THE NEW.
Seven of nine sit in the same band. If you were hoping rate would help you choose, it will not. What it does tell you is the market clearing price for Indian engineering capacity in 2026, and that any firm quoting far outside it owes you an explanation in either direction.
Minimum project size is the more useful number
Published minimums from the same nine firms ranged from $1,000 to $50,000. That is a fiftyfold spread among firms whose hourly rates are nearly identical, and it is the single most informative pricing signal a firm publishes.
- $1,000: Ksolves. A firm that takes work this small is set up for maintenance and staff-augmentation style engagements.
- $10,000: Daffodil Software, GeekyAnts. Comfortable with small scoped builds and pilots.
- $25,000: Simform, Talentica, The NineHertz, TO THE NEW, and our own MVP sprint. This is roughly where a real product build starts.
- $50,000: Appinventiv, Mantra Labs. Organised around larger programmes.
Read the minimum as a filter, not a price
A firm's minimum tells you what size of client it is built to serve well. Being the smallest client at a firm with a $50,000 floor is usually better than being the largest at one with a $1,000 floor, because in the second case you are funding their learning.
The offshore comparison, honestly
US and Western European agencies doing comparable AI work typically publish $100 to $250 per hour. That gap is where the entire offshore business case comes from, and it is real. It is also frequently oversold.
A three times lower rate does not produce a three times lower bill if the work takes twice as long, needs more specification, or gets rebuilt once. The honest version of the offshore case is that it works when the vendor has genuine senior engineers, a clear scope, and real overlap hours. It fails when any of those three are missing, and the rate card cannot tell you which situation you are in.
What actually moves the number
- 1Scope clarity. The single largest cost variable. Work that is specified before it starts costs a fraction of work that gets discovered during the build. Most budget overruns are specification failures, not engineering failures.
- 2Seniority mix. Ask how many people, at what level, for how long. A four-person team of seniors and a ten-person team with two seniors can quote the same total and deliver very differently.
- 3Integration surface. Every system the AI has to touch adds cost that has nothing to do with the AI. Auth, permissions, and data access mapping routinely take longer than the model work.
- 4Evaluation and guardrails. If they are not in the quote, either the vendor is not building them or you are paying for them later as incidents.
- 5Revision cycles. The cheapest hour is the one nobody has to repeat. This is where seniority pays for itself and where the lowest rate often loses.
Fixed scope or time and materials
Fixed-price work moves estimation risk to the vendor, and they will price that risk in. You get budget certainty and a change-control process. It suits work that can genuinely be specified up front, which most MVPs and defined integrations can.
Time and materials keeps the risk with you and is honest for exploratory work where nobody can specify the outcome yet. If you sign T and M, insist on a ceiling and weekly reporting. A T and M contract without a cap is not a budget, it is a hope.
What we publish
We price productized scope in USD rather than quoting an hourly rate: AI MVP Sprint from $25,000, integration pods $60,000 to $120,000, agentic builds $150,000 to $300,000, and embedded pods $18,000 to $32,000 per month with a three-month minimum. You can see the numbers before you talk to us, which is the point.
Questions worth asking before you sign
- What is the total estimate, and what specifically would make it go up?
- Who is on the team, at what seniority, and are they the people I met in scoping?
- Is evaluation and monitoring in this number, or does it come later?
- What is the change-control process, and what does a scope change cost?
- What happens to the code and IP if we stop after phase one?
- How many hours a day will our teams overlap, and is that in the contract?
If a vendor cannot answer the last two crisply, the rate is not the thing you should be worrying about.
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Book a 30-minute callKey takeaways
- Published hourly rates for Indian AI development firms cluster tightly at $25 to $49. One firm in our sample publishes $50 to $99. That narrow spread makes rate a poor basis for choosing.
- Minimum project size varies fiftyfold, from $1,000 to $50,000, and tells you far more about how a firm is organised than its rate does.
- US and Western European firms typically publish $100 to $250 per hour for comparable work, which is where the offshore cost case comes from.
- Total cost is driven by scope clarity, seniority mix, and how many revision cycles the work takes, not by the hourly number.
- Fixed-scope pricing transfers estimation risk to the vendor. Time and materials keeps it with you. Neither is better, but you should know which you are signing.
