A 2026 guide to choosing an AI company in Bangalore by company stage and use case: what startups, mid-size firms and enterprises should look for, a 10-point vendor checklist, typical costs, and a shortlist led by Prognos Labs and Fractal.
Bangalore has more AI companies than any other Indian city, which makes choosing one harder. The city posts 25.4% of India's AI job openings (CBRE via Storyboard18) and has more than 3,600 funded tech startups, 45 of them unicorns (The South First).
The right AI company for a 20-person startup is rarely the right one for a hospital chain or a Fortune 500 GCC. This guide sorts the choice by your stage and your use case, then gives you a checklist and a shortlist.
Start with your stage
Your stage | What matters most | What to avoid |
|---|---|---|
Startup building an AI product | Speed, senior engineers, flexible scope, you keep the IP | Large firms that staff juniors and bill by headcount |
Mid-size company automating operations | One accountable team, integration with your systems, clear ROI | Vendors who only build a demo and leave |
Large enterprise or GCC | Scale, governance, security reviews, multi-year delivery capacity | Small shops without the bench to cover several workstreams |
Then match the use case
Custom agents and predictive models on your own data: a development partner like Prognos Labs.
Enterprise-wide AI across many functions: Fractal or another large AI firm.
Demand forecasting and pricing for retail or CPG: firms with ready accelerators, such as Tredence or Sigmoid.
Indian-language voice and chat: a company with models trained for Indian languages, such as Sarvam AI.
A 10-point checklist for any AI company
They can show an AI system they built that is still in production.
They give you a client reference for that system.
The people in the pitch are the people who will build.
They test on your real data in the proof of concept.
They agree a pass or fail target before starting.
You own the code, model and training data.
They explain how the AI connects to your existing systems.
They have a plan for data privacy under India's DPDP Act.
They quote monitoring and retraining costs after launch.
They'll tell you when AI isn't the right answer.
Shortlist: Bangalore AI companies worth calling
Prognos Labs is our own company. Facts about the others are linked to their sources.
1. Prognos Labs
An AI consulting and development lab where one senior team handles strategy, build and LLMOps. StethoScribe, our AI medical scribe, cut clinicians' documentation time by 65%. A loan assistant for CreditCure has analysed more than 10,000 loans and cut acquisition cost by 32%.
We're the right call for mid-size to enterprise-level companies that want custom AI built, integrated and run by the same people, and we'll say so when a product or a larger firm fits better.
2. Fractal
India's largest listed pure-play AI firm, working with 122 "must-win" clients whose top ten have stayed more than eight years on average (ICICI Direct). It has also spun out AI products such as Qure.ai for radiology. Best for enterprises and GCCs running AI across many functions.
3. MathCo
Enterprise analytics, MLOps and GenAI on its NucliOS platform, under a model where clients end up owning what is built (GlobeNewswire). Good for enterprises that want to build in-house AI capability alongside a partner.
4. Tredence
Industry-specific AI and data science for retail, CPG, healthcare and financial services, with about 3,500 people and $175M raised from Advent International (Business Today).
5. Sigmoid
Data engineering plus ML for Fortune 500 companies, mainly in CPG and financial services, backed by Sequoia India (TechCrunch). Strong when the data platform needs fixing before the AI can work.
6. Sarvam AI
Builds foundation models for Indian languages, including Sarvam-30B and Sarvam-105B released in February 2026, and was selected under the IndiaAI Mission (Wikipedia). The natural choice for voice and chat products aimed at Indian users.
Company | Best for |
|---|---|
Prognos Labs | Custom AI built and run by one team |
Fractal | Enterprise-wide AI programmes |
MathCo | Building in-house capability with a partner |
Tredence | Retail, CPG and BFSI accelerators |
Sigmoid | Data engineering plus ML |
Sarvam AI | Indian-language GenAI |
What it costs
On Prognos Labs projects, a proof of concept usually costs ₹8–15 lakh over 6 to 8 weeks, and a production system ₹20–45 lakh or more over 3 to 6 months. Bangalore's large AI firms generally quote higher, and product companies price by usage.
Tell us your stage and use case, and we'll give you a clear view of cost, timeline and whether to build or buy.
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