Top AI Startups in India 2025

The AI scene in India has advanced far beyond the hype. Indian entrepreneurs are creating tangible products with quantifiable effects in fields ranging from healthcare diagnostics and road safety to enterprise decisioning and customer experience. India’s deep tech talent and its wide range of market demands are being combined to create a thriving AI startup ecosystem. 

Using cutting-edge AI, founders are addressing issues in healthcare, logistics, finance, education and agriculture in cities like Hyderabad and Pune, as well as Bangalore’s thriving innovation hubs. With a large pool of highly qualified engineers, increasing government support and robust venture capital interest, Indian AI startups are not merely copying international trends but are developing indigenous solutions that are suited to the country’s infrastructure, languages and economic realities. India is establishing itself as a major player in the global AI race thanks to its distinctive combination of size, creativity and inclusivity.

 

Fractal Analytics: Enterprise AI, Engineered for Scale

 

 

India’s enterprise AI aspirations are predicted by Fractal. It has been assisting Fortune 500 companies in turning data into decisions for 25 years by fusing design, data engineering and artificial intelligence to go beyond pilots and truly scale value across business units. Fractal provides domain solutions for CPG, healthcare, retail and financial services in addition to decision intelligence and agentic AI platforms. The business recently unveiled Fathom-R1-14B, an open-source reasoning model, demonstrating its commitment to open innovation. Fractal has demonstrated maturity and momentum in 2025 by being acknowledged as a leader in customer analytics services and aggressively positioning itself for public markets.

 

Why It Matters

 

Enterprise AI fails when it can’t scale beyond proofs of concept. The “last mile” – incorporating models into processes, systems and choices – is where Fractal excels. Demand for that type of execution was maintained by the IPO procedure and new capital signal. The Economic Times reports that new funding has been announced at a valuation of several billions of dollars. 

 

What To Watch

 

Agentic AI for process automation, domain-specific accelerators and enterprise-grade guardrails to keep generative AI secure and compliant.

 

Haptik: Conversational AI for Customer Experience at Jio Scale

 

 

AI agents developed by Haptik (now a part of Jio Platforms) can deflect tickets, improve NPS in voice and chat and speed up first-response times. Haptik creates useful, ROI-tied automation for banks, telcos, e-commerce and other industries by utilising Jio’s distribution and telecom footprint to deploy multilingual, omnichannel assistants that can escalate to live agents when necessary. The Jio acquisition in 2019 provided Haptik with the runway and reach necessary to produce on a huge scale for the Indian market while maintaining its competitiveness on a global scale.

 

Why It Matters

 

“Good enough” chatbots are no longer effective. Businesses seek safe gen-AI solutions, quantifiable containment and deep integrations (CRMs, ERPs, payment rails). For CX leaders facing cost pressure, Haptik’s pitch – human-like agents that are infinitely scalable – hits the mark.

 

What To Watch

 

As brands bring gen-AI to the front lines, there will be verticalised AI agents (banking, telecom and travel), quick on-ramps to knowledge ingestion and stricter safety/guardrails. 

 

NIRAMAI: Radiation-Free Breast Cancer Screening with Thermalytix

 

 

With a non-invasive, radiation-free method, NIRAMAI’s Thermalytix provides early breast cancer screening in environments with limited resources. Without the infrastructure requirements of conventional mammography programs, Thermalytix can classify women into risk groups and assist clinicians in making decisions about the next course of action by using high-resolution thermal imaging and machine-learning algorithms. Its suitability for extensive screening conducted by community health workers is highlighted by recent prospective and real-world studies conducted in India. 

 

Why It Matters

 

Mammography programs are challenging to scale in many areas because of equipment costs, shortages of trained radiologists and the fact that early detection saves lives. Access is increased and high-risk cases can be referred to diagnostic imaging more quickly with a portable, automated and reasonably priced AI screening layer. According to a case study from Harvard Business School, the technology uses machine learning and thermal sensing to identify early warning signs that human reviewers might overlook. 

 

What To Watch

 

Integrations into national screening programs, regulatory pathways in new markets and ongoing clinical validation. 

SigTuple: AI-Assisted Digital Pathology at Scale

SigTuple is using AI to reinvent microscopy. Its platform helps lab professionals by digitising and analysing blood, urine and other samples, which speeds up turnaround and lessens manual fatigue. SigTuple wants to provide better diagnostics outside of prestigious urban hospitals by utilising AI-powered slide analysis and connected lab equipment to produce reports more quickly and consistently. Since its founding in 2015, the company has raised money from well-known venture capitalists and is still developing AI for clinical lab workflows.

 

Why It Matters

 

Due to high volume, lack of specialists and inconsistent manual reads, pathology continues to be a bottleneck. SigTuple helps labs handle more samples with stricter quality control by automating routine analysis and flagging edge cases. This improves access in Tier-2/3 cities and frees up specialists for complex cases. 

 

What To Watch

 

More smooth lab-information-system integrations, hospital network collaborations, regulatory advancements and growth into new specimen types and regions.

 

Netradyne: Edge-AI that Makes Fleets Safer (and Drivers Better)

An edge-AI safety camera system called Driver•i, developed by Netradyne, can identify dangerous movements in real time and give coaches context-rich coaching insights. In addition to identifying mistakes, Driver•i also promotes safe conduct with “DriverStars,” which strengthens virtuous behaviours and increases adoption. With strong commercial traction and aspirations for scale, Netradyne has achieved significant usage milestones in several countries and received awards for AI safety in 2025. Its unicorn status in 2025 and its trajectory towards profitability are also mentioned in reports. 

 

Why It Matters

 

Fleets have narrow profit margins. The P&L is significantly impacted by even small decreases in harsh events, collisions and claims. Edge inference, as opposed to cloud-only, maintains low latency while conserving bandwidth, which is necessary for real-time alerts and post-trip coaching that drivers can rely on. 

 

What To Watch

 

As more analytics become available, deeper telematics/insurance integrations, enhanced ADAS capabilities and privacy-by-design safeguards will be implemented to maintain driver confidence.