Co-Founder Avinash Misra on Skan AI's $63M Series C
Building a Better Navigation System for AI: Co-Founders and Customers on Skan AI's Series C
Most enterprise AI pilots stall when it’s time to scale because agents don’t have the context to understand the business they've been deployed within. In this conversation, Avinash Misra, co-founder and CEO at Skan AI, and Manish Garg, co-founder and Chief Product Officer at Skan AI, explain why the industry has been solving the wrong problem, and how Skan AI's $63 million Series C will help enterprises close the gap between AI ambition and real operational impact.
Key insights
1. A better driver needs a better map
The AI world is focused on making agents a better "driver,” one use case at a time. Skan AI is focused on the navigation system: a precise, continuously updated map of how work actually moves through an enterprise. Without it, even the most capable agent is driving blind.
2. Backend data only shows the final answer
System logs capture the outcome of work, not how it got done. The judgment calls, workarounds and exception handling that happen on employees' screens never make it into an event log. Skan AI captures that in-between work and turns it into execution logic agents can use.
3. From observation to execution
With Blueprint, Intelligence, and Agents, the Skan AI platform takes enterprises from discovering where AI can create value to understanding the process in depth and running agents in production with human oversight and a full audit trail.
See what your AI is missing
Request a demo to see how the Context Graph of Work and Skan AI’s agentic platform gives your AI agents the grounding to perform in production.
Frequently asked questions
Agents are typically trained on documented processes and system data, which miss how work really gets done. When they meet real-world exceptions and edge cases, they fail or scale errors. Skan AI grounds agents in observed operational reality.
Process mining reads backend event logs, which only show the committed state of work or work that happens neatly within systems of record. Skan AI observes the human-system interactions across and between every application, including legacy and mainframe systems, capturing the decisions and workarounds logs never record.
Skan AI has delivered more than $500 million in measured customer value, including one bank deployment that reduced cost per transaction by 32% and generated $18 million in annualized savings.
Yes. Skan AI focuses on process patterns rather than individuals, observes only in-scope applications, encrypts and aggregates data, and keeps it within the customer's environment.
