Skan AI

08/12/2026

We're excited to announce our $63 million Series C, led by Cathay Innovation and Dell Technologies Capital, joined by Bloomberg Beta, Wipro Ventures, Citi Ventures, and State Farm Ventures, bringing our total raised to $117M.

Together, we’re scaling the platform that brings enterprise AI the work context it’s been missing.

In the time since we launched, Skan AI has observed and analyzed more than 500,000 workflows at organizations like Definiti, Mitie, and RELX running in highly competitive, regulated industries.

And we consistently see that the most vital work context isn’t being provided to train AI agents.

That’s the context gap Skan AI is closing.

Check out the full story and see what’s possible when enterprise AI has complete work context: https://hubs.ly/Q04sPVJg0

08/12/2026

VentureBeat’s Michael Nuñez sat down with Aviniash Misra to talk about how “the industry has misdiagnosed the [enterprise AI] problem” and why Skan AI is on a mission to give agentic AI a better understanding of the business.

In the article, Avinash explains why not all context is created equal: data sources like documentation, SOPs, or even systems logs prepare agents for an incorrect version of how work gets done. Agents won't understand the work until the context that trains and governs them is built from observations of real work.

Bridging this gap is exactly why Aviniash and co-founder Manish Garg started Skan AI seven years ago. Read the full story behind our $63M Series C and what enterprise AI can do when it has the right context: https://hubs.ly/Q04sPgDr0

08/12/2026

How did Skan AI rank in the top 15% of the 2026 Inc. 5000? Our CEO and co-founder Avinash Misra said it best:

"Enterprises don't want another AI pilot, they want AI that actually works in production. We built Skan AI on the belief that you can't get there without first understanding how work really happens inside a business."

Thank you to the entire Skan AI team. This recognition reflects our growth over the past three years, and it's only possible because of the people who built it, a team that's earned the trust of industry leaders across banking, insurance, and healthcare while building a platform for transforming operations with agentic AI.

Kudos to everyone at Skan AI who shows up with a customer-first mindset and stays ready to adapt and innovate together every day.

Skan AI today announced it has been ranked in the top 15% of the 2026 Inc. 5000 list, the annual list of the fastest-growing private companies

08/11/2026

Do your AI agents know:
- When to make an exception?
- How to escalate a decision?
- How to make judgment call?

If your answer is “no” to any of these 3 questions, you’re deploying AI agents on an incomplete foundation, one that lacks real insight into how work gets done.

Find out how this missing context leaves enterprise AI agents undertrained and ill-prepared to handle real work at our next webinar, hosted by IRPA AI.

Dan Dantus, our VP of Agentic AI Solutions, and Jennifer Redden, Head of Technology at Definiti, will explain how to fill this context gap and realize reliable ROI for enterprise AI.

Register now to save your seat and get ready to learn why work context comes first in an AI-native enterprise: https://hubs.ly/Q04srZRl0

08/07/2026

That’s a wrap! Our team spent the last 3 days at Ai4 2026 digging into real roadblocks keeping enterprises from deploying and governing AI at scale. And we left with a list of new demos to build, use cases to map out, and value to deliver for our customers.

1:1 meetings, demos, an executive fireside chat, and our networking dinner – during it all, attendees shared with us where their AI roadmaps are breaking down. Often, the problems revealed themselves when it was time to launch or scale a pilot.

But the most pervasive challenges were there all along.

Often, their agents were unprepared to handle common exceptions. Or they would get stuck in retries when a simple escalation was needed. Those process variants could have been addressed from the start if these teams started with complete context of the work being automated. But that information is hard to capture when the data sources you’re using are documentation, SOPs, and SME interviews.

Our demos showed attendees how the Skan AI platform lets enterprises:
- Capture every hidden exception path and tacit skill
- Train AI agents to handle exceptions and escalations at scale
- Run agentic operating procedures that evolve with your AI
- Map AI opportunities and deliver predictable ROI

That’s the AI-native foundation we’re helping enterprises build, powered by the best of the work they already do.

08/05/2026

Whether your organization is "AI-native" comes down to one thing: do your agents actually understand how the business runs?

That's our biggest takeaway so far from Ai4 2026. Throughout Day 1, we met with the teams actively defining what it takes to build an AI-native enterprise in healthcare, insurance, telco, and more.

We’ve had two questions about Skan AI rise above the rest, both focused on handing agentic AI the context it needs in production:
- How do we get a clear enough picture of our work to deploy AI that's production-ready?
- How do we build operating procedures that help agents improve over time?

Our take on both: you can't hand an agent an SOP and expect it to understand the exceptions, workarounds, and decisions made in the real world. Skan observes that undocumented context and distills it into a context graph that agents can act on.

Stop by booth #1320 to see it live. You'll learn how our platform traces complex decisions, captures institutional knowledge, and turns work context into a foundation for AI agents ready to handle exception paths and escalations at scale.

And don’t forget to check out our fireside chat tomorrow at 4:05pm in Venetian Ballroom F. featuring CEO and Co-founder Avinash Misra with Plug and Play's Partner & Head of Enterprise AI, Amit Patel.