Our 2026 ranking of the top AI development companies in Mumbai: Fractal (9.4/10), Prognos Labs (9.2), TCS (9.1), LTIMindtree (8.9), Quantiphi (8.8), Datamatics (8.5), Haptik (8.4), Gupshup (8.3), Arya.ai (8.1) and Decimal Point Analytics (7.9), compared in detail.
Mumbai is where India's banks, insurers, brokers and media houses buy their AI. Startups in the city raised $3.7 billion across 175 deals in 2024, up 154% on the year before (Inc42), and Maharashtra's GCC Policy 2025 targets ₹50,600 crore of investment and 400,000 jobs by 2030 (Square Feat India).
Yet search for an AI development company in Mumbai and you mostly get directories and vendors ranking themselves first. Below are ten firms that build AI for clients, with published proof for each, compared side by side.
How we scored the companies
Scores out of 10 reflect AI engineering depth, published proof (named clients, measured results, products in production), credentials and partnerships, support after launch, and fit for the buyer. Prognos Labs is our own company and sits second, behind Fractal, India's largest listed pure-play AI firm. Every claim about the other firms is linked to its source.
The 10 companies compared
# | Company | Type | Core AI work | Headline proof | Main industries | Best for | Score /10 |
|---|---|---|---|---|---|---|---|
1 | Fractal | Listed enterprise AI firm | Agentic AI (Cogentiq), GenAI, AI products, analytics | 122 "must-win" clients; top-10 clients stay 8+ years on average | CPG, retail, tech, healthcare, BFSI | Large enterprises | 9.4 |
2 | Prognos Labs | AI specialist | Custom models, LLMOps, agentic AI, predictive systems | CreditCure: 10,000+ loans analysed, 32% lower CAC | Fintech, healthcare, retail | One team from strategy to production | 9.2 |
3 | TCS | Global IT services | GenAI platform (WisdomNext), AI agents, AI infrastructure | 150+ domain-specific AI agents | All major industries | Very large programmes | 9.1 |
4 | LTIMindtree | Global IT services | Agentic AI ecosystem (BlueVerse), agent marketplace | 300+ industry and function agents; 700+ clients | Cross-industry | Large enterprises | 8.9 |
5 | Quantiphi | AI-first engineering | GenAI, ML, data engineering | Four 2026 Google Cloud Partner of the Year awards | BFSI, healthcare, media, retail | Enterprise and upper mid-market | 8.8 |
6 | Datamatics | Automation and AI | Agentic AI, document AI (TruCap+), RPA (TruBot) | 65+ AI projects; ISO 42001 certified | Publishing, BFSI, manufacturing | Document-heavy operations | 8.5 |
7 | Haptik | Conversational AI | LLM-based CX agents, WhatsApp commerce | 15B+ AI conversations, 100+ languages | BFSI, retail, media, travel | Customer service at scale | 8.4 |
8 | Gupshup | Conversational AI | Autonomous customer conversation agents | 50,000 businesses; Swiggy 2.3x engagement | Fintech, banking, e-commerce | Messaging-led businesses | 8.3 |
9 | Arya.ai | BFSI AI platform | BFSI ML APIs, fine-tuning, explainability | 100+ banks and insurers as clients | Banking and insurance | Regulated financial firms | 8.1 |
10 | Decimal Point Analytics | Financial AI specialist | Financial models, Copilot agents, Microsoft Fabric | 98.79% first-pass accuracy on statement mapping (own test) | Financial services | Research and finance teams | 7.9 |
The companies in detail
1. Fractal · 9.4/10
Fractal listed on the NSE and BSE in February 2026 and works with 122 "must-win" clients, companies with over $10B in revenue or 30 million end customers. Its top ten clients have stayed for more than eight years on average, and FY25 revenue was ₹2,765 crore (ICICI Direct). With about 5,700 people, it builds agentic AI through its Cogentiq platform for customer service, invoice-to-cash and underwriting (Stock Analysis).
2. Prognos Labs · 9.2/10
Prognos Labs is an AI consulting and development lab. We build custom models, LLM systems, agentic AI and predictive systems, then keep them running with monitoring and retraining. For CreditCure we built a loan assistant that has analysed more than 10,000 loans and cut customer acquisition cost by 32%. For Skips Comm we automated Flipkart ad campaigns, which now launch 60% faster with 22% better return on ad spend. For a healthcare provider, an AI intake system cut operating cost by 23%.
We sit behind Fractal on scale and ahead of the large IT firms for buyers who want senior engineers and one accountable team on a focused project.
3. TCS · 9.1/10
TCS had built more than 150 domain-specific AI agents by FY25. One AI drug discovery project generated over 1,300 molecules, with 12 shortlisted for lab testing (The Week). Its WisdomNext GenAI platform powers a UK bank's mortgage assistant (IndiaAI). Right for very large, multi-country programmes.
4. LTIMindtree · 8.9/10
LTIMindtree's BlueVerse ecosystem includes a marketplace of more than 300 industry and function-specific AI agents and a no-code and pro-code agent builder. The company serves over 700 clients with 84,000+ staff (Business Wire). A strong choice for enterprises that want ready-made agents for marketing and contact centres.
5. Quantiphi · 8.8/10
An AI-first engineering firm with about 3,500 people. It won four Google Cloud Partner of the Year awards in both 2025 and 2026, including AI Partner of the Year for North America in 2025 (Quantiphi). It also partners with AWS and NVIDIA, and works across BFSI, healthcare, insurance, media and retail.
6. Datamatics · 8.5/10
Datamatics has delivered more than 65 AI projects and has over 40 customers on its GenAI-powered TruBot, TruCap+ and TruBI products. It was among the first companies certified to ISO 42001 for AI management (Datamatics). Best for document-heavy operations such as claims, invoices and publishing workflows.
7. Haptik · 8.4/10
Haptik, part of Jio, has handled more than 15 billion AI conversations in over 100 languages for clients including Dream11, Disney+ Hotstar, Adani and Paytm (Haptik). Its Contakt suite brings LLM-based agents to customer service, while Interakt serves smaller businesses on WhatsApp.
8. Gupshup · 8.3/10
Gupshup serves about 50,000 businesses in over 100 countries and handles 10 billion messages a month. Its Superagent product runs autonomous customer conversations (ThePrint). Swiggy saw 2.3 times higher engagement with its conversational marketing (CaseStudies.com).
9. Arya.ai · 8.1/10
Arya.ai builds AI only for banks and insurers: ML APIs, fine-tuning through its Libra service, and explainability tools under AryaXAI. At the time Aurionpro took a 67% stake, it had more than 100 banks and insurers as clients and 80+ fine-tuned BFSI models (CXOToday).
10. Decimal Point Analytics · 7.9/10
A financial-domain AI specialist building custom Copilot agents on Microsoft's stack. Its Bindu FRS 1.0 model reports 98.79% first-pass accuracy on mapping financial statements, tested on more than 100 filings; that's the company's own figure (Tribune India). A good fit for research, asset management and finance teams.
What AI development costs in Mumbai
Stage | Typical length | Typical cost (Prognos Labs) |
|---|---|---|
Discovery and data audit | 2–3 weeks | Often folded into the proof of concept |
Proof of concept | 6–8 weeks | ₹8–15 lakh |
Production build | 3–6 months | ₹20–45 lakh and up |
Monitoring and retraining | Monthly | Depends on data volume and models |
Large firms such as TCS and LTIMindtree typically quote higher, and BFSI projects often add time for security and compliance review.
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Get My EstimateWhich company fits your project?
An enterprise-wide AI programme: Fractal, TCS or LTIMindtree.
One serious AI system built and run by the same senior team: Prognos Labs.
AI on Google Cloud: Quantiphi.
Document processing and automation: Datamatics.
Customer conversations at scale: Haptik or Gupshup.
Banking and insurance AI with explainability: Arya.ai or Decimal Point Analytics.