Agentic AI startup Giga has raised $61 Mn (nearly INR 510 Cr) in its Series A round led by Redpoint Ventures, with participation from existing backers Y Combinator and Nexus Venture Partners.
The startup plans to utilise the fresh capital to expand its technical team, accelerate go-to-market (GTM) strategy and scale up enterprise deployments.
Founded in 2023 by IIT Kharagpur alumni Varun Vummadi and Esha Manideep, Giga initially helped enterprises secure on-premise deployment of large language models (LLMs). The startup later pivoted to offering AI-powered customer support agents that can understand human emotions and resolve queries autonomously, without human involvement.
The platform also offers tools for analytics, compliance, and quality control.
Giga claims that its system can ingest a company’s knowledge base and instantly create AI agents that work across multiple languages and policies. The startup claims that its platform currently handles millions of customer interactions every month for large enterprises across sectors such as ecommerce, financial services, healthcare, and telecom.
The startup, earlier known as Giga ML, had raised $3.6 Mn in 2023 in a seed round led by Nexus Venture Partners. Since then, Giga has shifted from infrastructure to applications, moving up the AI stack to offer ready-to-use conversational AI agents built on its proprietary foundation models. The pivot reflects a broader trend among startups which are now building verticalised products to accelerate adoption and monetisation.
That said, the agentic AI space has seen a flurry of funding announcements in 2025. Last month, UnifyApps raised $50 Mn in a Series B round to enhance its enterprise AI stack. Lyzr secured $8 Mn funding to help companies build custom AI agents, while Mem0 also raised $24 Mn to scale its AI memory infrastructure powering intelligent systems.
Another notable round came from Graas.ai, which bagged $9 Mn Series B to expand its agentic AI stack for ecommerce.
The post Giga Nets $61 Mn To Build AI Voice Agents For Customer Care Centres appeared first on Inc42 Media.
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