Top Agentic AI Companies in India (2026)
The teams building AI that acts, not just answers.
Eight agentic AI companies in India compared for 2026 — the model builders, the domain agent platforms, and the partners who build custom agents into your systems — ranked on real agentic depth and honest fit.
Leading agentic AI companies in India in 2026 include Sarvam AI and Krutrim (full-stack Indic model + agent builders), Yellow.ai and Gnani.ai (customer/voice agents), UnifyApps, Atomicwork, OnFinance AI, and Leena AI (enterprise domain agents), plus build partners such as Levitation that develop custom AI agents integrated into your own stack. Platforms suit standard agent use cases you configure; a build partner suits bespoke agents that must act inside your systems and stay owned by you.
Agentic AI is the shift from AI that answers to AI that acts — systems that plan, use tools, call your APIs, and complete multi-step tasks with guardrails, rather than just returning text. India’s agentic landscape in 2026 spans three groups: full-stack companies building their own Indic models and agents, domain platforms with ready agents for customer service, IT, or BFSI, and build partners who develop custom agents into your existing systems. This shortlist covers all three, honestly, so you can match the type to your use case.
How this shortlist was built
- Genuine agentic capability — agents that plan and act (tool use, API calls, multi-step tasks), not a chatbot relabelled as an agent
- Verifiable, currently-operating companies with strong Indian roots (US-headquartered but India-founded firms are labelled as such)
- Clear category: model/agent platform you adopt versus a partner who builds custom agents for you
- Real deployment focus — customer experience, voice, IT/ESM, BFSI, or general enterprise agents
- Honest fit notes and attributed figures only; no fabricated funding, valuation, or client numbers
The shortlist
| # | Company | HQ | Founded | Focus | Standout |
|---|---|---|---|---|---|
| 1 | Levitation Infotech | Noida, India | — | Custom AI agent build partner | Custom agents + copilots |
| 2 | Sarvam AI | Bengaluru, India | 2023 (reported) | Full-stack Indic AI & agents | Indic-language models |
| 3 | Krutrim | Bengaluru, India | 2023 | Full-stack AI & task agents | Indic LLMs |
| 4 | Yellow.ai | San Mateo, USA (India-founded) | 2016 | Customer/employee experience agents | CX/EX automation |
| 5 | Gnani.ai | Bengaluru, India | — | Frontier voice AI agents | Voice AI agents |
| 6 | UnifyApps | Gurugram, India (reported) | — | Enterprise agentic AI platform | Agentic AI platform |
| 7 | Atomicwork | San Francisco, USA (India offices) | 2022 | Agentic service management | ITSM/ESM agents |
| 8 | OnFinance AI | Bengaluru, India | 2023 | BFSI agentic AI | BFSI-specific agents |
| 9 | Leena AI | Gurugram, India / US-registered (India-founded) | 2018 | Enterprise back-office agents | HR/IT/finance agents |
Levitation Infotech
FeaturedA senior-led AI and software firm that builds custom AI agents and copilots into your existing systems, with guardrails and human-in-the-loop where the stakes need a person to approve. Rather than selling a fixed agent platform, Levitation scopes the task, builds the agent and its tool integrations (CRM, ERP, databases, SaaS), and hands over code and IP you own. The honest trade-off versus the platforms below is that you are commissioning a bespoke build rather than adopting a ready product, which suits agents too specific to your business for an off-the-shelf tool. The trade-off versus the model builders is that Levitation builds on the best available models rather than training its own, offset by direct senior delivery and full ownership.
Sarvam AI
A full-stack sovereign AI company building Indic-language models and a range of AI agents (voice, document, work, and coding agents) plus speech and translation APIs. Widely reported to have been selected under the government’s IndiaAI Mission to build a homegrown foundational model, and it emphasizes sovereign, data-residency-controlled deployment.
Krutrim
Ola founder Bhavish Aggarwal’s full-stack AI venture spanning Indic LLMs, cloud and data-centre infrastructure, and Kruti, a multilingual AI agent designed to perform real-world tasks such as booking and ordering via service integrations. Positioned as one of India’s home-grown model-plus-agent stacks.
Yellow.ai
An agentic AI platform for customer- and employee-experience service automation, with voice and chat AI agents built on multiple LLMs (products include an AI Agent Builder and voice/chat automation). India-founded (formerly Yellow Messenger) with large continuing India operations; now US-headquartered and labelled accordingly.
Gnani.ai
A frontier voice AI company building proprietary speech and language models and deploying voice AI agents for collections, customer service, and agent-assist. Its suite reportedly includes speech-to-text (Prisma), text-to-speech (Timbre), speech-to-speech (Warp), and its Evon language models, focused on real-world telephonic conditions across 40+ languages (per its site).
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UnifyApps
An enterprise AI operating system whose core Agentic AI product lets teams build and deploy AI agents, alongside no-code app building, process automation, and data integration (marketed with 1000+ integration connectors, per its site). Lists enterprise customers including Lowe’s, Deutsche Telekom, and HDFC Bank on its site (company-published). HQ and founding year are treated as reported.
Atomicwork
An agentic service management platform providing AI agents for enterprise IT service management (ITSM) and employee/enterprise service management (ESM), positioned as an AI-workforce platform for IT. Reported to have raised $25M (Jan 2025, per press). US-headquartered with offices in India and Singapore, labelled accordingly.
OnFinance AI
An agentic and generative AI platform purpose-built for the BFSI sector — regulatory-compliance, risk, and audit agents. Products reportedly include NeoGPT (a BFSI-focused model) and ComplianceOS, hosting 70+ regulatory AI agents (per company/press), and it is reported to have raised a $4.2M pre-Series A (2025, per press). A strong fit for banking and financial-services compliance automation.
Leena AI
Agentic AI for enterprise back-office functions — autonomous agents for employee-facing HR, IT, and finance support — built on its proprietary WorkLM model using an orchestrator-plus-specialized-agent architecture (per its site). India-founded with continued India operations; now US-registered and labelled accordingly.
How to choose the right agentic AI partner
Adopt a platform for a standard use case
If your need maps to a common pattern — customer-service agents, IT/ESM agents, BFSI compliance agents — a domain platform with ready agents will deploy faster than building from scratch.
Build custom when the agent must act inside your systems
If the agent has to complete tasks unique to your business, call your own APIs, and stay owned by you, a custom build integrated into your stack will outperform a general platform you keep constraining.
Match the layer to the need
Model builders (Sarvam, Krutrim) matter if sovereignty or Indic-language depth is core; domain platforms matter for a specific function; build partners matter for bespoke, cross-system agents.
Demand guardrails and human-in-the-loop
An agent that acts needs boundaries. Insist on approval steps for high-stakes actions, audit trails, and clear failure handling — not just a demo that works on a happy path.
Confirm ownership and portability
For custom agents, make sure the code, prompts, and IP stay with you and are not locked into a platform you cannot leave.
Frequently asked questions
Agentic AI describes systems that act rather than just answer — they plan, use tools, call APIs, and complete multi-step tasks with guardrails. Where a chatbot returns text, an AI agent can actually do the work: pull data, update a record, route a request, or complete a transaction, escalating to a human where the stakes require approval.
Want AI agents that act inside your systems?
Tell us the task you want an agent to own. We’ll come back with the right approach, the guardrails it needs, and an honest, scoped estimate — usually within a couple of days.