
- Sun, 14 December 2025
Darwix AI has successfully raised $1.5 million in seed funding, marking a strong vote of confidence from early backers and key investors.
The round saw participation from prominent VC firms including Growth Sense, Growth91, Rebalance, Inflection Point Ventures (IPV), and JITO Incubation and Innovation Foundation.
A group of influential angel investors who bring deep expertise in tech and entrepreneurship such as Ankit Nagori (Curefoods, ex-Flipkart), Sanjay Suri (Founding CTO, Nykaa) have also participated in this round.
To put it simply, Darwix AI is like a super-smart robot brain that helps better a sales conversation in real-time.
It analyses a salesperson’s greeting quality, tone and energy, power statement usage, competitive differentiation and much more, to suggest where the person can improve.
It breaks down interactions across various voice and chat channels to understand customer complaints or sales inquiries.
It also provides metrics on how well a sales agent is working, using metrics like resolution rate and average response time.
It also showcases when the conversation is taking a negative route and sends you real-time alerts to deal with the challenge.
With exponential growth came exponential problems.
GIVA experienced a surge in customer escalations, putting pressure on the sales team to maintain quality.
Due to the inconsistent quality of the sales team, their customer satisfaction rate (CSAT) went down.
Then came in Darwix AI, which benefited GIVA in the following ways:
It helped GIVA achieve consistency and quality of agent-customer conversations across the country.
“Darwix AI stands out with its gamification features and real-time AI sales chatbot-making learning and selling seamless”, says Senior Vice President, GIVA, Anirudh Kudva.
Darwix AI is a tool that is built for businesses looking to optimise and upgrade their technology.
It believes that the existing models such as SaaS are built for narrow use cases and it is time for a shift.
Darwix AI believes in using LLMs (aka Large Language Models) to bridge the gap between data, content and action.
It aims to be intent first rather than tool first.
How the future pans out and how effectively the needs can be met remain to be seen. One thing is for certain, though: optimisation and automation are the future of most industries, and clearly, the VC firms agree.




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