Enterprise AI Has a Dirty Secret. Most of It Is Not Working. Kapture CX Is the Platform for the Companies That Have Figured That Out.
The enterprise AI market in 2026 has a problem that nobody in it wants to talk about publicly. Billions of dollars have been spent on AI tools, AI pilots, AI integrations, and AI strategy workshops. And the returns, for most large enterprises, have been disappointing in proportion to the investment. Not because AI is not capable. Because the approach to deploying it has been wrong.
Most large enterprises have solved their AI problem by buying point solutions from multiple vendors — a chatbot from one company, a ticketing system from another, a sentiment analysis tool from a third, an agent builder from a fourth. Each of these tools works, in isolation, in the demo environment. None of them work together, in production, across the complex and messy workflows that enterprise customer operations actually run on. The integration work required to stitch them together is expensive, slow, and produces a system that is more fragile than any of its components.
This is the problem that Kapture CX was built to solve. And on June 30, 2026, the company announced it had raised $10 million in a pre-Series B round led by Bajaj Finserv Ventures — BFSV's first-ever investment in the AI landscape — with existing investors Cactus Venture Partners and India Alternatives also participating.
What Kapture CX Actually Does
Kapture CX was co-founded in 2014 by Sheshgiri Kamath and Vikas Garg and is headquartered in Bengaluru. The company describes itself as a verticalized, full-stack agentic AI platform built to orchestrate high-stakes workflows for large enterprises.
That description is denser than most product descriptions — and each word in it is doing specific work.
Verticalized means the platform is not a generic AI layer that works the same way for every industry. It is built with deep-domain specificity for each vertical it serves — financial services, retail, logistics, healthcare — with models that have been fine-tuned on the specific workflows, terminologies, compliance requirements, and edge cases of each industry. A customer service workflow at a bank is categorically different from a customer service workflow at a logistics company. Kapture builds for the bank and for the logistics company as distinct products, not as variations on a generic template.
Full-stack means Kapture owns and optimises the entire technology layer from models to the agentic tier to the user interface. When an enterprise works with Kapture, they are not integrating a tool with other tools. They are adopting a single system. The complexity of stitching together multiple solutions from different providers — the problem that has made enterprise AI so frustrating — disappears because there is only one provider, one integration, one accountability structure.
Agentic means the platform deploys AI agents that execute multi-step tasks autonomously — agents that do not just answer a customer query but resolve it, end-to-end, including the back-office actions required to close the case. The platform combines AI agents, operational intelligence, and human oversight in a single system, with the human oversight layer ensuring that the cases where AI should escalate are escalated, and the cases where AI can resolve are resolved.
Kapture's platform currently serves more than 1,000 enterprise customers across 18 countries, including Bajaj Finance, multiple companies within Tata Group and Reliance Group, Cashify, BigBasket, Unilever, Coca-Cola, and Jockey. Several of the world's largest consulting firms and hyperscalers are also working with Kapture as partners.
The Numbers That Made Bajaj Finserv Ventures Lead
The funding announcement includes a financial disclosure that is unusual in the Indian AI startup landscape: profitability.
Since the Series A round in 2023 — which was itself split across two tranches of $4 million each, led by Cactus Venture Partners and India Alternatives respectively — Kapture CX has grown its revenue 4X while achieving profitability. In a market where most AI companies are burning through runway to acquire enterprise customers and build infrastructure, Kapture has reached a state where the business model is self-sustaining and the capital it is raising is growth capital rather than survival capital.
That combination — 4X growth and profitability — is what CEO Seshgiri Kamath described as rare in the AI economy. He is correct. The Indian enterprise tech space raised $1.8 billion across 82 deals in 2025, and the majority of that capital went to companies still building toward profitability rather than operating from it. Kapture's ability to demonstrate both scale and financial discipline simultaneously is the profile that institutional investors recognise as the foundation of sustainable businesses rather than growth stories that require continuous capital infusion.
The 5x revenue growth target for the next few years is the ambition that the $10 million is backing — an ambition that is grounded in the 4X already delivered and in the international expansion that represents the next phase of growth.
Why Bajaj Finserv Ventures' First AI Investment Went Here
The specific significance of Bajaj Finserv Ventures' participation in this round is not only the capital. It is the signal.
BFSV is the investment arm of Bajaj Finserv, one of India's largest and most sophisticated financial services groups. The group operates across insurance, lending, asset management, and payments with a customer base of hundreds of millions of Indians. It is, by every measure, exactly the kind of large enterprise that Kapture CX is built to serve.
When BFSV made its first-ever AI investment in Kapture, it was not making a passive financial bet. It was making a strategic bet on the platform it believes is best positioned to serve enterprises at the scale and complexity level that the Bajaj Finserv group itself operates at. The investor and the potential customer are, in this case, the same entity — which is the strongest possible form of strategic validation that an enterprise AI company can receive.
Lakshmi Iyer, Group President of Investments and MD and CEO of Bajaj Alts, described the investment in terms that reveal the broader AI strategy behind it.
BFSV is currently in the process of launching an AI Opportunities Fund to invest across the emerging AI ecosystem. As they evaluated opportunities, they found in Kapture a solution that demonstrably works at scale. Kapture's deep-tech capabilities including model training, combined with its strong understanding of enterprise workflows and robust partner ecosystem, position the company strongly within the evolving AI landscape.
Demonstrably works at scale. That phrase is doing the work that distinguishes Kapture from the many AI companies that work in a controlled demo environment and struggle to replicate those results in production. The 1,000 enterprise clients across 18 countries, including the Bajaj Finserv group itself, are the demonstration that BFSV evaluated before writing the cheque.
The Global Expansion That the $10 Million Funds
Kapture CX's capital deployment plan is specific about where the international expansion will be focused. Multiple global markets, with the $10 million providing the runway to establish the sales, implementation, and support infrastructure required to serve enterprise customers outside India at the standard that a 1,000-client track record in India has established.
The enterprise AI platform market is global and competitive. Salesforce, Decagon, and Sierra AI are among the companies that Kapture competes with directly in the customer experience management category. Each of these has significantly more capital and, in Salesforce's case, significantly more brand recognition in international enterprise markets.
Kapture's competitive advantage is not breadth. It is depth. Verticalized AI that is fine-tuned for specific industries, full-stack ownership that eliminates integration complexity, and a profitability profile that demonstrates the unit economics of the business work — these are the differentiators that Kapture believes will sustain it in the competitive international environment.
Seshgiri Kamath's articulation of the market moment is the frame that the company is entering its next phase with.
For enterprises whose experimentation phase with AI is behind them, Kapture is where real value begins.
The experimentation phase is over for a lot of enterprises. They have been through the pilots, the workshops, the point solution purchases, and the integration failures. What they are looking for now is a platform that works, at scale, with their specific workflows, without requiring them to become AI integration experts on top of everything else they have to do.
That is the market Kapture CX built for. That is the market the $10 million is taking it to.
