Zenskar is an AI-native revenue automation platform built to handle real-world complexity.
It sits between your CRM and ERP automating everything in between: billing, revenue recognition, collections, usage metering, and analytics. Across any pricing model, any entity structure, any currency.
Our vision: Zero-Touch Finance. Agents execute. Humans supervise. Finance teams set the rules. Zenskar runs them.
Founded by Apurv Bansal and Saurabh Agarwal, second-time founders whose previous startups were acquired by Snapdeal and Gaana. The team brings experience from Google, Deutsche Bank, Elevation Capital, IIT Bombay, IIT Delhi, and Harvard Business School.
We have 5x'd revenue in the past year. We are default alive.
We raised $15M in Series A funding in April 2026, led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho, with participation from Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge.
The funding is being used to expand our Agents Marketplace and scale operations, not headcount.
https://youtu.be/jRb2ybvrSwU?si=vuLLgUY_MFdRzDMl
See how Zenskar automates the full order-to-cash cycle, from contract to cash,
without spreadsheets, workarounds, or engineering tickets.*
Finance teams aren't struggling because they lack AI tools. They're struggling because the systems underneath those tools were built for a simpler world. These systems label real-world complexity as edge cases and force teams into costly, error-prone workarounds: revenue leakage, delayed collections, audit risk, and finance teams buried in grunt work.
Bolting AI onto these broken foundations is as good as a Ferrari engine on a horse-drawn carriage. Zenskar is purpose-built from the ground up: the architecture handles complexity natively, so AI actually works.
It combines foundational flexibility + deterministic calculation + purpose-built AI agents to deliver end-to-end automation across the order-to-cash cycle — without workarounds, without engineering tickets.
The B2B billing and revenue automation market is $2B today, projected to reach $10B by 2030.
"We're saving 200+ hours/quarter on invoicing and receivables by completely automating our recurring billing." — Noy Kalansky, Finance Controller, Pontera
"Zenskar automates revenue recognition accurately for our value-based billing: agents reducing manual hours by 70%." — Matt Barnard, VP Finance, Vertice
"Zenskar’s agents automated 90% of our billing, integrated with our CRM, and accelerated revenue collection by a month." — Ming Lui, VP Finance, Yembo
"Sardine had spent 4 years running billing in-house for high-volume, usage-based pricing. Zenskar took care of it all." — Sardine team
"We launched our product 4 months faster instead of building an in-house system for our usage-based pricing." — Kshitij Gupta, CEO, 100ms
We're selling into the US market. Deals are complex, the pipeline moves fast, and the GTM engine needs to run clean.
As our RevOps Intern, you'll be the connective tissue across sales, marketing, and CS. You'll own the CRM, build dashboards leadership actually uses, and wire up the automations that eliminate repetitive ops work. You'll work directly with AEs, BDRs, and founders from day one.
If data is dirty, that's on you to fix. Proactively, not reactively.
Map and enrich signals (intent data, job changes, funding rounds, product triggers) to target accounts so reps can act on them immediately. You'll be the reason the right rep knows about the right account at the right time.
Own the CRM. Set up and maintain pipelines, lifecycle stages, workflows, and deal structures. Keep it clean without being asked.
Build and maintain dashboards covering pipeline health, funnel conversion, activity metrics, and forecast. Translate data into views leadership can actually act on.
Manage tool access across the GTM stack for new hires and offboarding. Keep the stack lean, cost-efficient, and audit-ready.
Keep sequences, templates, and collateral in sync with what the sales team actually needs. Tooling should work. Your job is to make sure it does.
Build lightweight automations using Claude and other tools to eliminate repetitive ops work. This is early-stage. You'll be laying the groundwork for a centralized intelligence layer across the company.