How RegencyOps Transformed Incident Management by Focusing on Engineer Understanding

AI was taking away jobs, so I embraced it, started learning every AI tool I could and building with them. Entrepreneurship was always at the back of my mind, and the right time was now. The frustration came from thirty years in enterprise IT operations, where the same scene never changed, a P1 fires at 2 AM, the alert arrives in seconds, and a young L1 engineer spends the next hour tab-switching across Datadog, ServiceNow, Jira, runbook wikis, and architecture diagrams trying to build a picture that exists in nobody's head. At HCL, we threw more dashboards at it and made it worse. The industry solved detection completely and understanding not at all. I knew the 8 layers an incident actually spans because I lived them for three decades. So I quit, incorporated RegencyOps, and filed the patent for Stratos, root cause to action in under 2 minutes.

Worked, building in public with institutional credibility. Filing patents, earning DPIIT deep-tech recognition and STEM Deep-Science incubation at IISc Bengaluru before writing Stratos's production code opened doors, grant channels, incubator networks, design-partner conversations, that cold outreach never would. For a pre-revenue deep-tech product with a solo founder, borrowed trust is the only growth channel that scales faster than you can. Flopped, paid advertising. I ran Meta and Google campaigns for LevelUp Pro, another product in our suite, and learned the hard way that broad-targeted ad spend for a specialized product buys clicks and impressions, not customers, the CAC math never closed, and the budget evaporated with nothing durable to show. That lesson directly shaped Stratos's go-to-market, no ad-driven acquisition at all. Instead, self-serve setup under twenty minutes, tool-marketplace listings where buyers already search with intent, and direct design-partner pilots with mid-market companies already running Datadog and PagerDuty in production.

Stratos is pre-launch, so I'll answer honestly from our shipped products. The most consistent complaint across CampusHire and PlacePrep, "too many features, where do I start?" As a solo founder shipping fast, I kept adding capability week after week; users wanted clarity, not power. I handled it through ruthless simplification, role-based views so each user sees only their own workflow, guided first-run flows, and cutting features that fewer than ten percent of users touched. That complaint directly shaped Stratos's core design principle, one screen, eight layers, read top to bottom, failing layer lit in red. No configuration maze, no dashboard builder, nothing to learn. The second recurring complaint was setup friction, accounts, imports, permissions before any value appeared. That's precisely why Stratos is architected as read-only connectors to tools companies already run, with sub-twenty-minute setup and zero rip-and-replace. My users' complaints about my earlier products are, quite literally, Stratos's product requirements document.

Everyone believes the incident problem is a detection problem, that faster alerts, smarter anomaly detection, and more AI-driven correlation will fix downtime. It won't, because detection is already solved, alerts fire in seconds, and every vendor keeps competing to fire them faster. The bottleneck moved years ago. It now sits between the alert and the engineer's comprehension, thirty to ninety minutes of piecing together what that alert actually means across business workflow, data flow, application, architecture, infrastructure, and financial impact, scattered across seven or more disconnected tools. The second thing the market gets wrong, assuming this is an enterprise-SRE problem. Enterprise AIOps suites priced at $200K and above serve elite SRE teams at large companies; the actual majority of the world's incidents are handled by L1/L2 support engineers at mid-market companies, who have no tooling built for them at all. Stratos exists precisely in that double blind spot, the understanding layer, for the underserved engineer.

Months one to six, build the working PoC, six read-only connectors (Datadog, Grafana, BigPanda, ServiceNow, Jira, PagerDuty) plus the first four layers of the incident view, validated hands-on with design-partner pilot companies. Months seven to twelve, complete all eight layers with causal linking, add inline actions, runbooks, Jira, PagerDuty, and ship Stratos v1.0 GA, converting pilots into paid annual subscriptions. In parallel, second patent publication on 17 July 2026, expedited examination via Form 18A, and first founding-engineer hires in Bengaluru.

Two patents filed, four products shipped solo in twelve months.

Thirty years inside exactly this industry, IT service delivery, ITSM, incident and problem management, and AIOps programme leadership at Infosys and HCL Technologies, with international postings in the US and the Netherlands, most recently Group Technical Manager at HCL. ITIL Expert, PMP, AWS, and Security+ certified; credentials from IIT Kanpur, ISB Hyderabad, and Stanford. I've personally lived the L1/L2 incident workflow Stratos serves, on both sides of the escalation. Before Stratos, I proved I could ship, four live products built solo in twelve months, Intelligent Workspace, LevelUp Pro, CampusHire, PlacePrep, with payments integrated and running. Not starting from scratch; starting from three decades inside the problem.

Filing my patents in my personal name instead of the company's. It felt faster at the time, but it created a cleanup chain, Deed of Assignment, Form 6, Form 28 at the Indian Patent Office, that consumed weeks of attention and would have been a red flag in any investor diligence if left unresolved. The lesson, structure comes before speed on anything an investor will one day examine. IP ownership, share certificates, statutory filings, do them company-first, from day one. Solo founders naturally optimize for velocity; I learned that some things are cheap to do correctly once and expensive to redo under scrutiny.