Darwix AI
Category: AI Agents
A GenAI-powered omnichannel conversational intelligence platform that provides agent assistance and automation for enterprise revenue and sales teams. Darwix AI was founded in 2022. The company is led by Ajay Pal Singh Sethi. Based in Gurugram, India; Dubai, UAE. Team size: 101-500. Total funding raised: $1.5M. Latest round: Seed. Key investors include Rebalance, Inflection Point Ventures (IPV), JITO Incubation and Innovation Foundation, Growth Sense, Growth91.
- Founded
- 2022
- Headquarters
- Gurugram, India; Dubai, UAE
- Team size
- 101-500
- Total funding
- $1.5M
Value proposition
Building the BFSI operating system for the agentic decade. An applied research company turning every customer conversation into a coordinated agentic workflow, purpose-built for Indian banking, lending, insurance and wealth management.
Products and solutions
Sherpa (Physical AI assist for field agents), Voice Automation (1,200 parallel dials/sec, 22 languages), Non-Voice Agents (ops + comms agents), Nova (launching soon), BFSI Small Language Model (SLM), Agentic Suite
Unique value
Darwix is the only platform where omnichannel layers (real-time intelligence, agentic suite, BFSI SLM) are all built in-house, with each layer feeding the next on every conversation. Proprietary BFSI tokens for risk, intent, sentiment, and compliance.
Target customer
BFSI enterprises (banks, NBFCs, insurers) - revenue teams, field agents, branch banking staff, collections teams, and wealth management RMs.
Industries served
Banking, Financial Services, Insurance (BFSI), Real Estate, Retail, Healthcare
Technology advantage
Proprietary BFSI Small Language Model (SLM) with 3.7B params, trained on 4M+ Indian enterprise calls. 62 BFSI objection patterns, 22 Indian languages with code-switch. <400ms SLM round-trip. Proprietary BFSI tokens for risk, intent, sentiment, compliance.
How they differentiate
Darwix differentiates by being the only platform with all three layers (real-time intelligence, agentic suite, BFSI SLM) built in-house. BFSI-specific SLM trained on 4M+ Indian enterprise calls. 22 Indian languages. Physical AI (Sherpa) for field agents.
Main competitors
Gong.io, Chorus.ai (ZoomInfo), Outreach
Key partnerships
Google for Startups Accelerator (AI First India 2025), Aditya Birla Capital (Innovation Winner), NASSCOM AI (National Finalist 2025)
Notable customers
Mokobara
Major milestones
Successfully raised $1.5 million in a seed funding round (June 2025)., Expanding operations to UAE (Dubai DIFC office), USA, and Southeast Asia., Launched proprietary BFSI Small Language Model (SLM) and Agentic Suite., Selected for Google for Startups Accelerator AI First India 2025., Recognized as NASSCOM AI National Finalist 2025., Aditya Birla Capital Innovation Winner.
Growth metrics
The recent funding aims to scale the product and expand global reach.
Market positioning
An agentic AI platform purpose-built for BFSI, transforming customer conversations into compliant, automated workflows for banks, NBFCs, and insurers.
Geographic focus
Initially focused on the Indian market, now expanding into UAE (MENA region), USA, and Southeast Asia.
Patents and IP
Not publicly available
About Ajay Pal Singh Sethi
Ajay Pal Singh Sethi has experience in revenue and product transformation. His background includes Accenture Strategy, CARS24 and PayU. He is an IIM Calcutta alumnus.
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Official website: https://www.darwix.ai/