India’s AI story is moving beyond the model. Until last year, the big question in Indian boardrooms was which large language model (LLM) enterprises should standardise on. Now, as AI agents move from answering questions to executing tasks, the focus is shifting to what these agents can do for businesses, which workflows they should handle, and how enterprises can measure their performance.
In September, Inc42 reported that Swiggy is opening food delivery, Instamart, Dineout, and Scenes to external AI agents. Through four Model Context Protocol (MCP) servers and 66 tools, the company lets AI assistants outside its app build carts, place orders, and book tables. The same month, we explored how Flipkart is reworking product discovery for a future where customers may no longer begin their shopping journeys with keyword searches.
As AI agents take on more tasks, enterprises must look beyond the underlying models to the systems that make them useful and reliable. That means building workflows that allow agents to execute tasks effectively and evaluation systems that measure whether they deliver the intended results.
Meanwhile, investor interest in the sector remains strong. Indian AI startups raised $438 Mn across 35 deals in Q3 2026, up 265% YoY, according to Inc42’s Indian Tech Startup Funding Report, Q3 2026.
Against this backdrop, Inc42 returns with the 13th edition of the AI Startups To Watch series. This edition features five emerging ventures tackling distinct opportunities: agentic commerce, screen-free learning, AI agent reliability, automated customer conversations and AI-powered recruitment.
Here are the five startups from the 13th edition of Inc42’s AI Startups To Watch.
Editor’s Note: This is not a ranking. The startups featured here are a curated selection by the Inc42 editorial team and are listed alphabetically.
Agnost AI | Keeping A Closer Eye On AI Agents
A chatbot that gives a wrong answer frustrates users. An AI agent that fails silently can cost a business its customers. Users may correct it, repeat their requests or abandon the interaction altogether, while dashboards continue to record the exchange as a success.
Agnost AI is building tools to detect these failures and help teams fix them. Founded in 2025 by Shubham Palriwala and Parth Ajmera, the platform monitors AI agents in production by analysing their conversations with users. It identifies recurring problems, flags instances where users correct the agent or abandon a task, and traces failures back through the agent’s tool calls to identify what went wrong.
It then suggests fixes and tests them against the conversations in which the agent failed before deployment. It adds cases where fixes work to a regression test suite to help prevent the same errors from recurring.
Agnost integrates with agent-building frameworks such as LangChain and CrewAI, and counts Exa and Comp AI among its users. It is backed by Y Combinator, Entrepreneurs First and Transpose Platform Management. The startup is targeting the agentic AI monitoring and observability tools market, estimated at $500 Mn in 2025 and projected to reach $2 Bn by 2030, growing at a 30.1% CAGR.
Dialflo | AI Voice Agents With ROI
Many Indian enterprises have spent the past two years experimenting with AI voice bots, only to find it difficult to measure their impact. The challenge isn’t just getting an AI agent to handle calls, but understanding how well it performs, what business outcomes it delivers, and when human intervention is needed.
Bengaluru-based Dialflo is building a platform to address this gap. Founded in 2024 by Abhishek Kumar, the startup combines AI voice agents and human agents in a single contact centre, helping businesses automate customer interactions while tracking their outcomes.
Its voice agents handle high-volume tasks such as qualifying leads, verifying cash-on-delivery orders to reduce returns, recovering abandoned carts and providing multilingual customer support around the clock. What sets Dialflo apart is its focus on attribution: it scores each conversation and links it to a business outcome, helping customer experience teams measure the revenue generated by calls alongside the costs saved.
This focus comes as the global call centre AI market expands, with its value projected to rise from $1.9 Bn in 2024 to $7.1 Bn by 2030, at a CAGR of 23.8%, according to Grand View Research.
Dialflo works with more than 10 enterprise customers, including Tata Digital, Intugine and Careernet.
HireBound | AI Agents For End-To-End Hiring
Recruiters often spend a lot of time chasing candidates, screening resumes and conducting repetitive initial interviews rather than evaluating the people best suited for a role. As hiring volumes grow, these tasks become harder to manage without adding to recruitment teams.
Bengaluru-based HireBound is using AI agents to automate much of this work. Founded in 2024 by Sharad Vij and Kumar Vikramaditya, the startup aims to help recruiters move candidates through the hiring process faster.
Its platform uses separate agents for sourcing, screening and evaluation. These agents engage candidates through voice calls, WhatsApp, text messages and email, gathering information to assess their suitability for a role. Looking to capitalise on the growth of India’s HR tech market, projected to reach $2.3 Bn by 2034, the platform integrates with companies’ existing applicant tracking systems and human resource management systems. Its customers include staffing firms and enterprise talent acquisition teams in India and the US.
HireBound has conducted more than 3 Mn candidate conversations and trained its systems on over 2 Mn resumes and 30,000 job openings. It raised $2 Mn (₹18.2 Cr) in a seed round led by Kalaari Capital, with participation from Antler, Infinyte Club and CareerNet. The startup is targeting a fivefold increase in annual recurring revenue over the next year.
MyWonder | Screen-Free AI Learning Companion
For children aged three to ten, finding ways to make learning engaging without relying on screens remains a challenge.
MyWonder is building a screen-free alternative. Founded in 2024 by Chandramouli K, formerly of Amazon and RedBus, and Venkat Potluri, formerly of Flipkart and ZestMoney, the startup wants to make learning interactive through voice-led play.
Its WonderPod combines a voice-first device with figurines and cards that unlock stories, quizzes and games. A conversational AI layer adapts to each child’s speech and learning level, while a companion app lets parents track activities and manage content access. The startup also sources content through publisher partnerships.
MyWonder operates in India’s tech toys market, expected to reach about $3.6 Bn by 2030, expanding at a CAGR of 14.7%.
Tru Commerce | Commerce Infra For AI Agents
Shopping is moving into chat windows, where consumers can ask AI assistants to recommend products and receive a shortlist. But even when brands appear in these recommendations, shoppers cannot always buy from them directly. Many brands lack product catalogues that AI agents can read and checkout systems that work within these conversations.
Tru Commerce is building the infrastructure to bridge that gap. Founded in 2024 as Asva AI by Viren Inaniyan and Umang Chhaparia, the startup rebranded this year to focus on helping brands sell through AI agents.
Its platform has three core functions. It converts product pages into structured data that AI agents can understand, connects brands’ existing stores to agent-led checkouts through protocols such as MCP, ACP and UCP, and tracks brand mentions, product recommendations and orders attributed to AI agents. Brands remain the merchant of record and retain their customer relationships.
Tru Commerce works with Amazon, ITC MasterChef, MyMuse, Provogue and House of Zelena. The startup is targeting the global agentic commerce market, estimated at $1.9 Bn in 2025 and projected to reach $54.2 Bn by 2035, growing at a CAGR of 39.81%.
With inputs from Venu Rathore & Akshit Pushkarna
Edited by Shishir Parasher
Creatives by Abhyam Gusai
The post AI Startups To Watch: 5 Startups That Caught Our Eye In October appeared first on Inc42 Media.