Today, Echelon is emerging from stealth with $4.75 million in seed funding led by Bain Capital Ventures, with participation from AI leaders at Anthropic, ServiceNow, Salesforce, Meta, Atlassian, and PagerDuty.

We've built AI developers that autonomously handle enterprise software development and operations, starting with ServiceNow. Over the past several months, we've been running these agents in production at F500 companies, compressing development timelines from months to days.

The problem that can't wait

Every CIO and IT team knows this: your business runs on platforms like ServiceNow, SAP, and Salesforce. They manage your operations, workflows, and critical processes. And your business constantly demands updates - new workflows to support growth, custom applications for changing requirements and platform enhancements to stay competitive.

At Moveworks, my co-founders Eddie Guo, Anand Sainath, and I automated IT operations for hundreds of enterprises. But we kept seeing the same bottleneck: IT teams waiting 6+ months for new enhancements, drowning in development backlogs, watching technical debt pile up. 

This velocity mismatch creates competitive disadvantage. The traditional solution, offshore consulting, has become the bottleneck. Great ServiceNow talent is  scarce and expensive - $200-400/hour - when you can find it. Projects run over budget and deadline. Quality is inconsistent. Knowledge disappears when contracts end.

For decades, this has been the only option. Until now. AI can finally do what armies of consultants do, but autonomously and at software speed.

The world’s first AI ServiceNow developer

Echelon’s AI developers execute ServiceNow development end-to-end. You assign a task - "Automate software access requests with approvals and provisioning" or "Manage leave of absence from request to return-to-work". Echelon handles requirements gathering, architecture, coding, testing, documentation, and deployment autonomously.

They're trained by master architects from firms like Accenture and Thirdera: decades of implementation expertise distilled into AI that operates 24/7. They understand your environment, follow your governance standards, and deliver production-grade work.

We're seeing implementations that typically take 12-16 weeks complete in days. Platform upgrades that consumed entire quarters happen over a weekend. 

As Trinh Nguyen, ServiceNow Architect at Lucid Motors, describes it: "Echelon is giving platform teams effectively unlimited development capacity to unlock adoption and automation at scale."

Building AI developers that can handle enterprise complexity is a non-trivial technical challenge. We've written about how we solve it on our engineering blog. We’re also hiring!

Reimagining a $1T industry

We're starting with ServiceNow, where we have the deepest expertise and where the capacity crunch is most acute. But the same implementation challenges exist across SAP, Salesforce, and Workday. We'll get there.

What we're building is AI delivery at scale: AI developers that handle complex tasks from requirements to production, scale elastically, compound knowledge across deployments, and execute at software speed. 

When development capacity stops being the constraint, everything shifts. Platform teams can finally move at business speed. Upgrades become continuous instead of annual events. Backlogs become manageable. Teams focus on building what matters instead of firefighting.

This is how the $1 trillion IT services industry gets transformed forever.

What's Next

We're focused on delivering exceptional results for our early customers while expanding what our agents can handle autonomously. If you're a ServiceNow platform owner drowning in backlog or a services partner ready to change your delivery model, let's talk - Book a demo.

Thank you!

None of this would be possible without the people who took a bet on us early.

I'm immensely grateful to our customers who trusted us with their production environments. 

To our team for bringing our vision to life.

To our angel investors who opened doors for us and shared hard-earned lessons building advanced AI systems.

And to Aaref Hilaly and Rak Garg at Bain Capital Ventures for backing our vision from day one. 

The way enterprise software gets built is changing. We're just getting started.

Thanks,

Rahul Kayala