Our 2026 list of Visakhapatnam's 8 best machine learning companies, scored out of 10: Prognos Labs (9.1), Fluentgrid (8.7), Cognizant (8.5), innData Analytics (8.3), Turiya Softech (8.2), Sweya (7.9), Supervue AI (7.6) and CIAMETECH (7.3), with each firm's specialisation, typical ML project costs and questions to ask before you sign.
Why Visakhapatnam is on the AI map now
Visakhapatnam, or Vizag, became one of India's most watched AI locations in October 2025, when Google announced a $15 billion AI hub in the region for 2026 to 2030. It is planned as India's first gigawatt-scale AI hub, built with AdaniConneX and Airtel's Nxtra (Deccan Herald).
IT companies are following. On 12 December 2025, nine firms including Cognizant and Fluentgrid broke ground on Vizag campuses worth about ₹3,740 crore, with more than 40,000 jobs expected (Outsource Accelerator). Most of the activity sits around the Rushikonda IT hills.
A few established firms do serious ML work, and a group of Andhra University startups build focused AI products. We picked 8 companies with verifiable ML work and a real Vizag presence, scored each out of 10, and noted who each suits. This list is for businesses hiring an ML partner.
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?
Production record: are its models in daily use by real customers?
Domain fit: does it know the sector it serves, such as utilities, ports or pharma?
Proof: named clients, deployment numbers or revenue.
Support after launch: does it maintain and retrain what it builds?
Client feedback: testimonials, references and repeat work.
Every fact about another company is linked to a public source. Vizag has few ML firms with a long public track record, so younger companies score lower until they publish more proof. Prognos Labs is our company; we rank it first for custom end-to-end ML builds, so compare it with the others before you decide.
The 8 best machine learning companies in Visakhapatnam at a glance
# | Company | Best for | Specialisation | Vizag presence | Score /10 |
|---|---|---|---|---|---|
1 | Prognos Labs | Custom ML, LLMOps and agentic AI, built and managed end to end | Healthcare and fintech AI | Serves Vizag clients | 9.1 |
2 | Fluentgrid | ML and analytics for power and water utilities | Utility forecasting and smart-meter analytics | HQ | 8.7 |
3 | Cognizant | AI and ML at enterprise scale | Digital engineering, cloud and AI services | TechFin Centre, Rushikonda | 8.5 |
4 | innData Analytics | Video analytics and private, offline LLMs | Air-gapped AI and telecom analytics | HQ, PM Palem | 8.3 |
5 | Turiya Softech | Industrial safety and tender AI for oil and ports | Oil, gas and port operations | Andhra University NASSCOM CoE | 8.2 |
6 | Sweya | AI agents for pharma and asset tracking | Pharma and law-enforcement AI agents | Andhra University startup | 7.9 |
7 | Supervue AI | Face recognition and CCTV analytics | Real-time detection on existing CCTV | HQ | 7.6 |
8 | CIAMETECH | Telugu and Hindi conversational AI | Regional-language small models | HQ | 7.3 |
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 we keep maintaining them after launch.
Our AI patient intake system converted 31% more leads into appointments for a healthcare provider. For FitzStyles we built an AI stylist in 11 weeks that raised conversion 3.2 times.
Strengths:
One team handles strategy, model building, deployment and LLMOps.
Agentic AI with documented cost reductions of up to 50%.
Compliance-first builds for healthcare and finance.
2. Fluentgrid: best for utilities and smart cities
Score: 8.7/10
Fluentgrid was founded in Visakhapatnam in December 1998 as Phoenix Cybertech and took its current name in 2015 (Wikipedia). It builds software for power, water and gas utilities, including Actilligence.AI, an ML service for forecasting, prediction and image analysis. Its platforms serve more than 70 million utility customers, and it runs the Greater Visakhapatnam Municipal Corporation command centre (Fluentgrid). Operating income was about ₹202 crore in FY25.
Strengths:
The longest track record of any Vizag-headquartered firm on this list.
ML applied to very large utility data sets, such as an 8 million smart-meter rollout.
Experience with government and smart-city buyers.
3. Cognizant: best for enterprise-scale AI from Vizag
Score: 8.5/10
Cognizant runs an interim TechFin Centre in Vizag with more than 1,000 seats, focused on AI, machine learning, digital engineering and cloud. On 12 December 2025 it broke ground on an 8,000-seat, 22-acre campus in the city, an investment of ₹1,583 crore, with the first 3,000 seats due in early 2029 (Cognizant).
Strengths:
Global delivery capacity run from a local centre.
A long-term commitment to the city, built out to 2033.
Best suited to large, multi-year programmes.
4. innData Analytics: best for video analytics and private LLMs
Score: 8.3/10
innData is based at ASG Heights in PM Palem, Visakhapatnam, with a 45-person team. Its products include Netra, an air-gapped video search tool; Kashi-ka, an offline private LLM; and FODD, which detects foreign-object debris down to 2 inches. It also does AIOps outage prediction, and says its churn model reached over 85% precision for a Tier-1 Southeast Asian telecom operator (innData).
Strengths:
AI that runs fully offline, for clients who cannot send data to the cloud.
Computer vision for debris detection, with work for a major rail operator.
Telecom analytics experience.
5. Turiya Softech: best for oil, gas and port operations
Score: 8.2/10
Turiya Softech works out of the NASSCOM Centre of Excellence on the Andhra University campus and has more than 50 staff. Its AI products include Bid Guru for drafting and evaluating tenders, ISAPP for predicting industrial safety risks, and Uni-BIM for querying building models. Clients include HPCL, BPCL, Nayara Energy and the Visakhapatnam Port Authority (Viscan).
Strengths:
Blue-chip energy and port clients.
Products built for procurement and safety teams.
Close ties to Andhra University's tech ecosystem.
6. Sweya: best for pharma AI agents
Score: 7.9/10
Sweya is an Andhra University startup founded by Srinivas Maddala. It builds AI agents for pharma medical detailing and AI case management for law enforcement (Deccan Chronicle). Its MIRA asset-tracking system is used at SSKM Hospital in Kolkata, and the bootstrapped company has more than 30 staff and ₹3.5 crore in revenue (Viscan). Sweya says it cut one pharma dossier review from 7 days to 2.
Strengths:
Specialised in pharma workflows.
Bootstrapped, with ₹3.5 crore in revenue.
Products in use in hospitals.
7. Supervue AI: best for CCTV analytics
Score: 7.6/10
Supervue AI was founded in Visakhapatnam in 2019 by Babu Munagala and works on face recognition and image processing (YNOS). Its platform adds real-time detection to existing CCTV cameras.
Strengths:
Works with cameras a site already has.
Real-time alerts for security teams.
It names no clients publicly, so ask for references.
8. CIAMETECH: best for Telugu and Hindi conversational AI
Score: 7.3/10
CIAMETECH is a DPIIT-recognised startup headquartered in Visakhapatnam, established in 2026. It builds agentic AI, small fine-tuned models and conversational AI in Telugu and Hindi, designed around India's DPDP Act (CIAMETECH).
Strengths:
Focus on regional languages.
Small, fine-tuned models that cost less to run.
Very new, with no named clients yet.
How to choose an ML partner in Vizag
Vizag gives you two kinds of option. Large firms such as Cognizant and Fluentgrid have the capacity for long programmes. Younger Andhra University startups are cheaper and more focused, but publish less proof, so you need to check them more carefully.
Questions to ask every firm on your shortlist:
Which of your models are live today, and for which clients?
Who owns the model, code and data after 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, especially for faces, voices or patient data?
What does monitoring and retraining cost per month after launch?
For a young firm, ask to speak to a current client before you sign.
What ML projects cost and how long they take
These are typical ranges from projects we have scoped at Prognos Labs.
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 |
On-premise or offline deployments, common in ports, utilities and public-sector work, add server and security costs on top of these figures.
Tell us about your site and data rules, and we will map out an on-premise proof of concept with a realistic timeline.
Get My TimelineWhich Vizag ML company should you pick?
Custom models, LLM systems or agentic AI, built and run by one team: Prognos Labs (9.1).
Forecasting and analytics for a power or water utility: Fluentgrid (8.7).
A large AI programme with global delivery capacity: Cognizant (8.5).
Video analytics or an LLM that must run offline: innData Analytics (8.3).
Safety or tender automation for oil, gas or port operations: Turiya Softech (8.2).
AI agents for pharma teams: Sweya (7.9).
Analytics on existing CCTV: Supervue AI (7.6).
A Telugu or Hindi chatbot or voice agent: CIAMETECH (7.3).
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.