Account intelligence
built by people who needed it
SalesNTech builds Kampass — the AI-native platform that gives Key Account Managers the intelligence they used to spend hours assembling manually.
Why Kampass exists
For over two decades — across EY, Deloitte, Coforge, Samsung SDS, and Fortune 500 technology companies — we watched the same pattern play out with Key Account Managers. Smart, experienced people spending their mornings in a patchwork of CRMs, spreadsheets, news alerts, LinkedIn tabs, and half-remembered conversations. Trying to assemble a picture of what's happening across their most important accounts before the first meeting of the day.
The tools were built for data entry, not intelligence. The CRM captured what happened last quarter. It said nothing about what's happening right now — who just got promoted at your biggest account, which competitor just signed a deal in your territory, where the whitespace sits in a relationship you've held for three years.
The best account managers we worked with weren't better at selling. They were better informed. They walked into every meeting already knowing what mattered.
That's the gap Kampass fills. Six AI agents that work overnight — scanning news, scoring relationships, mapping whitespace, ranking opportunities — so that by 8 AM, the intelligence is ready. Not a dashboard of stale data. A living picture of every account that matters to you.
We built ARIA, our voice agent, because account managers don't sit at desks reading reports. They're in cabs heading to meetings, walking between conference rooms, calling clients between flights. Intelligence that can't travel with you isn't intelligence — it's homework.
The team behind Kampass
We spent most of our careers on the other side of this problem — as account managers, BD leaders, and sales directors. The people walking into rooms and needing to know exactly what mattered to the client sitting across the table.
At EY, as Business Development Leader for Public Sector Enterprises — accounts where a single CXO transfer or retirement could reset three years of relationship building overnight. At Deloitte, seeing how even the best-resourced consulting firms struggled to maintain institutional knowledge across large accounts. At a Fortune 500 technology company, managing enterprise sales at a scale where no human could track every signal across hundreds of strategic accounts.
The pattern was always the same. The intelligence existed — in email threads, in meeting notes, in someone's head — but it was never assembled, never scored, never actionable. Every Monday morning was a manual reconstruction of what should have been obvious.
Kampass is the platform we wished we had for twenty years. Not another CRM. Not another dashboard. An intelligence layer that sits between your data and your decisions, doing the work that used to take hours before your first meeting of the day.
What we believe
The convictions behind every design decision in Kampass.
Relationships are the asset, not the CRM record
CRMs track transactions. Kampass tracks relationships — who trusts you, who's gone cold, where the next conversation should happen. That's the real competitive moat in enterprise sales.
Intelligence should arrive before you need it
If you're searching for an insight, it's already too late. Kampass agents work overnight so the intelligence is waiting when you start your day — not the other way around.
Every industry has its own playbook
A hospitality KAM tracking room-night revenue across properties thinks nothing like a public sector BD director navigating CXO transfers. The platform has to understand the difference.
AI augments judgment — it doesn't replace it
Kampass surfaces signals, scores relationships, and recommends actions. But the account manager makes the call. We're building copilots for experienced professionals, not autopilots for juniors.
Get in touch
Whether you're exploring Kampass for your team, interested in a partnership, or have a question about the platform — we'd like to hear from you.
sunilvali@salesntech.comCareers
We're hiring. If you're a full-stack engineer who wants to work at the intersection of AI and enterprise sales — or you'd like to be considered for future openings — we'd love to hear from you.
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