Our 2026 list of Mysuru's 7 best machine learning companies, scored out of 10: Prognos Labs (9.1), L&T Technology Services (8.8), Excelsoft Technologies (8.5), Incture (8.3), Mysuru Consulting Group (8.1), NuSynth Technologies (7.9) and Vigyanlabs (7.7), with each firm's specialisation, typical ML project costs and questions to ask before you sign.
Why Mysuru is worth a look for machine learning
Mysuru is better known for palaces and silk than for AI, but the city's tech base has been growing quietly for years. Large engineering centres sit alongside a handful of home-grown AI companies, and investors have started to notice: Mysuru ranked second in Karnataka for tech funding in the first nine months of 2026, raising $8 million against just $165,000 in the same period a year earlier (CIOL).
The ML scene is still small. A few firms do serious ML work at scale, a few build focused AI products, and most of the rest are web studios that add AI on request. We picked 7 companies with verifiable ML work and a real Mysuru base, scored each out of 10, and noted who each one suits. We stopped at 7 rather than padding the list with firms we could not verify.
This list is for businesses hiring an ML partner. If you need healthcare AI specifically, see our list of healthcare AI companies in Mysuru.
How we scored the companies
Each company got a score out of 10 across six questions:
ML depth: does it build and train its own models, or mostly call third-party APIs?
Production record: are its models or AI products in real use?
Domain fit: does it know the industry it serves, such as engineering, education or chemicals?
Proof: named clients, funding, listings or published results.
Support after launch: does it maintain and retrain what it builds?
Client feedback: reviews, references and repeat work.
Every fact about another company is linked to a public source. Several Mysuru firms sell products rather than custom builds, and we say so in each profile. Prognos Labs is our company; we rank it first for custom end-to-end ML builds, so compare that claim with the rest of the list before you decide.
The 7 best machine learning companies in Mysuru at a glance
# | Company | Best for | Specialisation | Mysuru presence | Score /10 |
|---|---|---|---|---|---|
1 | Prognos Labs | Custom ML, LLMOps and agentic AI, built and managed end to end | Healthcare and fintech AI | Serves Mysuru clients | 9.1 |
2 | L&T Technology Services | Large AI and engineering R&D programmes | AI for engineering and product R&D | Major campus | 8.8 |
3 | Excelsoft Technologies | AI-powered learning and assessment | EdTech SaaS with in-house LLMs | HQ | 8.5 |
4 | Incture | AI on top of SAP systems | AI apps for SAP enterprises | Product and technology centre | 8.3 |
5 | Mysuru Consulting Group | Custom ML projects with a small senior team | Probabilistic ML, geospatial and computer vision | HQ | 8.1 |
6 | NuSynth Technologies | AI for chemical process R&D | Predictive chemical synthesis | HQ | 7.9 |
7 | Vigyanlabs | Running AI on your own infrastructure | Sovereign AI compute and green data centres | HQ | 7.7 |
1. Prognos Labs: best overall ML development partner
Website: prognoslabs.ai · Score: 9.1/10
Prognos Labs is an AI consulting and development lab. We build custom models, LLM systems, agentic AI and predictive systems, and keep maintaining them after launch. Most of our work is in healthcare and finance, where models must be accurate, auditable and compliant from the first release.
StethoScribe, the AI medical scribe we built, cut clinicians' documentation time by 65%. Our AI patient intake system cut a healthcare provider's operating cost by 23% and patient wait time by 42%.
Strengths:
One team covers strategy, model building, deployment and LLMOps.
Agentic AI work with documented cost reductions of up to 50%.
Compliance-first builds for healthcare and finance.
2. L&T Technology Services: best for large AI and engineering programmes
Score: 8.8/10
LTTS, the engineering R&D arm of Larsen & Toubro, runs one of its largest delivery centres in Mysuru. At an analyst day held on the campus, the company said it had 3,500 people there, more than 1,000 of them working on AI and generative AI (ARC Advisory Group). Its Module X building on the campus was designed for more than 1,300 engineers (AIM), and in May 2026 it announced a Centre of Excellence with Emerson at the same site (Pulse 2.0).
Strengths:
The largest concentration of AI engineers in Mysuru.
Deep experience in automotive, industrial and medical products.
Best suited to long, multi-team programmes rather than a single small model.
3. Excelsoft Technologies: best for AI in education and assessment
Score: 8.5/10
Excelsoft was founded in Mysuru in 2000 and builds SaaS for digital learning, online testing and remote proctoring (Value Research). It listed on the NSE and BSE in November 2025 after a ₹500 crore IPO, and reported ₹233.29 crore in FY25 revenue. The company says it has built a full-stack AI facility in Mysuru that runs open-source LLMs tuned for personalised learning (Star of Mysore).
Strengths:
A listed company with more than two decades in the city.
Runs its own models on its own hardware.
A product company: best for institutions that want a learning or testing platform, not a custom build.
4. Incture: best for AI on SAP systems
Score: 8.3/10
Incture was founded in 2006 and builds digital and AI products for companies that run on SAP. In October 2024 it opened a Digital Product & Technology Center at Abbhi Tech Park in Mysuru's Belagola Industrial Area, focused on its Cherrywork suite of AI-powered enterprise applications (PR Newswire).
Strengths:
A clear fit for enterprises whose data already lives in SAP.
Packaged applications that shorten delivery.
Customers across North America, EMEA and Asia-Pacific.
5. Mysuru Consulting Group: best for custom ML with a small senior team
Score: 8.1/10
Mysuru Consulting Group was founded in 2016, is bootstrapped and has about 56 staff (Inc42). Its core work is probabilistic machine learning, deep learning and reinforcement learning, and it says it has delivered more than 30 AI use cases in geospatial analytics, predictive analytics, computer vision and NLP (LinkedIn). Its products include DocuBot and InvoiceReader for document processing (ZoomInfo).
Strengths:
One of the few Mysuru firms whose main business is ML.
Unusual depth in Bayesian and reinforcement learning methods.
It publishes few named clients, so ask for references.
6. NuSynth Technologies: best for AI in chemical R&D
Score: 7.9/10
NuSynth is a Mysuru startup that uses an AI engine to redesign and optimise chemical synthesis processes, so labs need fewer trial-and-error experiments. It raised ₹36.5 crore ($4 million) in seed funding co-led by Avaana Capital and Shastra VC in October 2026 (AIM).
Strengths:
A rare ML company focused on chemistry and process development.
Backed by established climate and deep-tech investors.
Very young, so start with a scoped pilot.
7. Vigyanlabs: best for running AI on your own infrastructure
Score: 7.7/10
Vigyanlabs is a Mysuru deep-tech company that builds energy-efficient AI compute. In February 2025 it launched Mysuru.ai, a data centre in Hebbal with 70 professionals and a locally hosted AI chatbot (TelecomLive). In September 2026 it launched FEMTO, a micro data centre that packages GPU compute for organisations that want sovereign AI on their own premises (CXOToday).
Strengths:
Useful when data cannot leave your site or the city.
Focus on low-energy, air-cooled infrastructure.
Provides compute, so you still need a team to build the model.
How to choose an ML partner in Mysuru
Mysuru gives you three kinds of option. LTTS has the capacity for large engineering programmes. Excelsoft, Incture, NuSynth and Vigyanlabs sell products or infrastructure, which suits you if one of them already fits your problem. For a custom model built around your own data, you need a team whose main work is ML.
Questions to ask each firm on your shortlist:
Which of your models are live today, and for which clients?
Who owns the model, code and labelled data when the contract ends?
Can the system run on our own servers if our data cannot leave the site?
How do you meet India's DPDP Act for customer, student or patient data?
What does monitoring and retraining cost per month after launch?
Ask to speak to a current client in your industry before you sign.
What ML projects cost and how long they take
These are typical ranges from projects we have scoped at Prognos Labs. Large engineering firms usually quote higher.
Stage | Typical length | Typical cost |
|---|---|---|
Discovery and data audit | 2–3 weeks | Often bundled with the PoC |
Proof of concept | 6–8 weeks | ₹8–15 lakh |
Production build | 3–6 months | ₹20–45 lakh and up |
Ongoing MLOps and retraining | Monthly | Depends on data volume and model count |
The state of your data drives cost more than anything else. Clean, labelled data shortens a project; records spread across spreadsheets and systems add weeks before any model work starts.
Tell us about your data and use case, and we will map out a realistic proof-of-concept timeline and budget.
Get My TimelineWhich Mysuru ML company should you pick?
Custom models, LLM systems or agentic AI, built and run by one team: Prognos Labs (9.1).
A large AI or engineering R&D programme: L&T Technology Services (8.8).
An AI-powered learning or testing platform: Excelsoft Technologies (8.5).
AI applications on top of SAP: Incture (8.3).
A focused custom ML project with a small senior team: Mysuru Consulting Group (8.1).
Faster chemical process development: NuSynth Technologies (7.9).
Sovereign AI compute on your own premises: Vigyanlabs (7.7).
If you want a custom model built and the same team to look after it once it is live, talk to Prognos Labs. On the first call we will tell you whether ML is the right tool and what a proof of concept would take.