GURGAON, India — Sept. 21, 2026 — Eubrics today announced it has raised funding from super{set}, the San Francisco venture studio that invests in and builds AI-native companies alongside their founders.

The funding accelerates Eubrics’ expansion across the United States and Canada. The company is building out sales, customer success and partnerships in the market and going deeper into the enterprise segment it already serves. Alongside that, Eubrics is investing in the engineering stack the platform runs on: the simulation fidelity that lets an AI agent convincingly play any customer, low-latency voice, multi-agent orchestration, retrieval over regulated enterprise content and the evaluation models underneath all of it.

Eubrics was founded by Nikita Jain and Maxim Dsouza, who between them have spent their careers on the two halves of the problem the company is built to solve. Jain spent more than a decade in enterprise consulting across EY, Korn Ferry and PwC, working on how large organizations actually change the way their people work. Dsouza is an engineer and machine learning specialist who was a senior leader at Apple and has built startups of his own. Eubrics is what happens when that understanding of how enterprise sellers are made meets conversational AI that is finally good enough to hold the other side of the call.

Most of the AI money in sales has gone into the workflow around the conversation — CRM hygiene, sequencing, forecasting, note-taking and pipeline routing. All of it useful, none of it the thing that actually closes the deal. The deal still turns on what a sales executive says in the room and how well they hold up when the conversation gets hard. Eubrics works on that human directly.

The company enables revenue acceleration: AI sales roleplays before a call, live guidance during it and analysis after it, so that every rep gets better at closing. The platform runs across industries, with enterprises in financial services, banking, insurance, health care and contact centers as its core market and financial services, banking and insurance as its sharpest focus. Customers include Kohler, Accenture, Simply Insurance Office of America, Konica Minolta, Moog and Clifford Chance.

The product attacks the three points where a deal is won or lost. Before the call, roleplay bots simulate the customers a rep will actually face, with the personalities, objections and product complexity of real accounts. During the call, real-time guidance surfaces the next question to ask, the disclosure that has to be made or the answer to the objection just raised. After the call, analytics score the real conversation rather than a test, showing a rep what worked, what cost them the deal and what the people who close in their segment do differently — then feeding that straight back into the next practice session.

While every revenue acceleration platform claims to impact revenue, Eubrics AI has proven credentials from global large companies wherein clients running Eubrics have cut new-hire ramp from 90 days to 15 days and seen 37% higher revenue per customer.

“There is far more revenue sitting inside the team a company already has,” said Nikita Jain, co-founder and CEO of Eubrics. “Salespeople can create significantly more revenue when the right agentic AI system works alongside them — not as another tool they have to manage.”

It is a conviction super{set} has deep expertise in. The studio was founded in 2019 by Tom Chavez and Vivek Vaidya, who have built and exited two companies in this exact territory: Krux, sold to Salesforce, and before it Rapt, sold to Microsoft — both built on making revenue teams smarter with data. They are backing Eubrics as operators who have shipped the tools sales organizations run on, and the studio works alongside founders from pre-seed through exit rather than investing passively, out of San Francisco, the market Eubrics is scaling into next. In announcing the investment, super{set} put the opportunity in front of Eubrics at $50 billion.

That $50 billion opportunity is the wedge, not the destination. Eubrics is starting by helping sales representatives and advisers perform better, but its larger ambition is to expand how high-quality financial advice is provided.

Financial advice is a multitrillion-dollar industry, and its capacity is limited by how many advisers firms can recruit, train and trust — which makes personalized advice expensive and leaves millions underserved. Today, Eubrics’ AI works alongside people, helping them practice, navigate live conversations and improve afterward. In doing so, it is codifying the patterns beneath the work: how strong advisers uncover needs, explain complexity and guide sound decisions.

Over time, that intelligence can power agents that take on more of the advisory journey — first supporting advisers and preparing recommendations for approval and eventually carrying routine conversations on their own, under human oversight. The goal is not simply to automate today’s market, but to expand it by making trusted financial guidance viable for people traditional models cannot profitably serve.

That is the $14 trillion Eubrics is running at — a market that, once agents can serve it, only gets bigger.