Our investors
Backed by investors who understand enterprise scale.
Others can add a copilot. We have the sales context, the frontline experience and the execution stack required to build agents that act.
Request a demoThe milestones that matter are not product releases. They are the moments when the reality on the ground forced us to see the problem differently.
Our founders shadowed sellers across industries. This was not a series of interviews. In some cases they spent weeks alongside the same salesperson, watching a demanding day: finding prospects, preparing between meetings, explaining complex products, handling objections and following up.
Sellers did not need more training. They needed the right help, just in time, while preparing, pitching and following up.
Every organisation had different products, sales processes, hierarchies, compliance rules and ways of selling. A product that worked for the seller was only the beginning. Real deployment needed security, integrations, governance and deep industry configuration.
Enterprise software must fit the business. The business cannot be forced to fit the software.
We worked closely with sales, transformation, learning and technology teams. We saw what it took to launch products, change seller behaviour, drive adoption and keep systems aligned as the business changed.
Integrations moved data. They did not remove the work between systems.
Sharpsell expanded into automotive, consumer durables, pharma and other industries. The pattern kept repeating. Managers still could not see inside customer conversations, or tell which seller needed help before a deal stalled. Leadership had more reports and still could not forecast reliably.
At the same time we built production AI for the hardest frontline conditions: voice-led usage, 11 Indian languages, code-switching, mobile devices, patchy connectivity and regulated environments.
Dashboards do not solve execution problems. AI works only when it understands the business, earns frontline trust and runs safely at enterprise scale.
By then we had built AI that could prepare sellers, capture conversations and generate content. But the systems underneath were still fragmented. A copilot could suggest what to do. It could not act when the lead, the history, the workflow and the business rules sat in systems waiting for people to update them.
The system of record captured what happened. People still did the work. Our customers were paying three times over: in money, in time, and in the human effort that never went away.
Across more than 40 enterprise deployments, the context needed to understand how an organisation sells and the ability to act on it finally came together. Today 20+ agents run live across BFSI, auto, consumer goods, building materials and 7 other industries. Coach has run more than 3 million roleplays in 11 Indian languages.
Not another layer on top of the systems that wait for people. One system that captures the work, prepares the seller and drives the next step.
Arun Subramanian and Hanuman Kamma have spent more than a decade working with enterprise sales leaders, transformation teams and frontline sellers.
Leads product and company strategy, shaped by years of studying enterprise sales work and building for large frontline organisations.
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Leads business and customer transformation, drawing on deep experience with sales leaders and enterprise frontline deployments.
View LinkedIn →We started by understanding the people doing the work. See what that turned into, running on your own sales process.
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