Our 2026 list of Pune's best AI and ML development companies for product teams and growing businesses: Prognos Labs (9.3/10), Tech Mahindra (9.2), Talentica (8.8), Coditas (8.6), Applied AI Consulting (8.5), DeepTek.ai (8.4), Jash Data Sciences (8.1) and AlgoAnalytics (8.0).
If you're building an AI product or adding machine learning to a growing business, you need a different partner from a Fortune 500 enterprise. You need senior engineers, quick decisions and a team that understands both the model and the product around it. Pune is good at this: many of its firms grew up building software products for global startups and now do serious ML work.
Pune's tech market is also expanding fast. The city leased a record 8.1 million sq ft of office space in 2025, up 18% on the year before. Here are the eight AI and ML development companies we'd shortlist in 2026.
AI development or ML development?
The terms overlap, but it helps to know what you're buying. Machine learning development means training models on your data: forecasting, classification, recommendations, computer vision. AI development today usually also covers GenAI and agents built on large language models. Most firms below do both; the profiles note where each is strongest.
The list at a glance
# | Company | Strongest at | Score /10 |
|---|---|---|---|
1 | Prognos Labs | Custom models and agents, built and run by one team | 9.3 |
2 | Tech Mahindra | Large-scale AI, Indian-language LLMs | 9.2 |
3 | Talentica Software | ML inside new software products | 8.8 |
4 | Coditas | Multi-agent systems and data science | 8.6 |
5 | Applied AI Consulting | Agentic AI and RAG | 8.5 |
6 | DeepTek.ai | Regulated medical imaging AI | 8.4 |
7 | Jash Data Sciences | NLP and computer vision projects | 8.1 |
8 | AlgoAnalytics | Classic ML for BFSI and manufacturing | 8.0 |
The companies
1. Prognos Labs · 9.3/10
We build custom ML models, LLM systems and agents, then run them with monitoring and retraining, using one small senior team throughout. For FitzStyles we built an AI stylist in 11 weeks that raised conversion 3.2 times and cut cost per recommendation by 68%. For a brand, a custom image and video model for product endorsements cut production cost by 75%. Product teams pick us when they want ML shipped and maintained, not just prototyped.
2. Tech Mahindra · 9.2/10
The largest firm on this list. Its AI Centre of Excellence with NVIDIA works on sovereign LLMs, agentic AI and physical AI, and produced Project Indus 2.0, a Hindi and dialect LLM (Mahindra). The safe choice when your ML programme needs scale or Indian-language models, though smaller product teams may find it more than they need.
3. Talentica Software · 8.8/10
About 600 people building software products for startups, now with AI, MLOps and agentic features (Built In Pune). It says it has shipped more than 200 products and has over 50 AI solutions in production (Talentica). Best for startups building an AI product from version one.
4. Coditas · 8.6/10
An engineering-led firm of about 755 people (Built In Pune) doing AI strategy, data science and multi-agent systems on its ATOM framework and Therix.ai agent platform. Clients have included HDFC Life and Symantec (YourStory).
5. Applied AI Consulting · 8.5/10
About 60 engineers focused on agentic AI, RAG and document intelligence, building on both OpenAI and Anthropic's Claude. Clients include HDFC Life, Saviynt, Spotnana and AutomationEdge (AAIC).
6. DeepTek.ai · 8.4/10
A medical imaging AI company whose Augmento platform has US FDA clearance and CE MDR Class IIb certification. It says it works with more than 500 hospitals and imaging centres, including Tata Memorial and Ruby Hall (DeepTek). It sells products rather than custom builds, which suits buyers who want proven radiology AI.
7. Jash Data Sciences · 8.1/10
A specialist ML studio doing data science, data engineering, agentic AI and computer vision for Industry 4.0. It reports more than 200 projects across 20 industries and has its own products, such as J-Sphere and RecruitAId (Jash). NLP and computer vision make up most of its AI work on Clutch.
8. AlgoAnalytics · 8.0/10
Led by Aniruddha Pant, who also co-founded DeepTek. It covers classic ML, GenAI and MLOps for banking, manufacturing, legal and retail clients (AlgoAnalytics). Its site names no clients, so ask for references.
Choosing between them
Building an AI product from scratch: Prognos Labs or Talentica.
Agents and RAG on company documents: Prognos Labs, Applied AI Consulting or Coditas.
Computer vision on a factory floor: Jash Data Sciences.
Radiology and diagnostics: DeepTek.ai.
A large ML programme or Indian-language models: Tech Mahindra.
Typical cost and timeline
On Prognos Labs projects, a proof of concept takes 6 to 8 weeks and costs ₹8–15 lakh, and a production model or agent takes 3 to 6 months at ₹20–45 lakh or more. Computer vision projects often need extra time to label images before training.
Tell us what you want the model to do and we'll give you a realistic cost and timeline to ship it.
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