The AI-native platform trying to collapse the 10-to-15 tools a managed service provider quietly juggles into one screen - and betting that consolidation, not features, is the actual product.
Here is a business model that sounds almost like a joke until you meet the customer: SuperOps sells IT software whose main promise is that you will get to stop buying IT software. The typical managed service provider - the outsourced IT department that keeps dentists' offices and law firms and small manufacturers running - operates a stack of 10 to 15 separate tools. There is one thing for monitoring the machines, another for ticketing, another for billing, another for patching, another for documentation, and each of them has its own login and its own invoice and its own way of not talking to the others. SuperOps' pitch is: what if that were one thing.
This is not a glamorous pitch. Nobody writes a screenplay about consolidating vendor logins. But it is a genuinely large problem, because the alternative to consolidation is a technician alt-tabbing between six browser windows while a client's server is down, and that technician's time is the whole cost structure of a managed service provider. If you can make him faster, you can make the business more profitable. SuperOps says its customers report roughly 40% cost savings, which is the kind of number you get to claim when you are replacing a dozen line items with one.
The company was founded in 2020 by Arvind Parthiban and Jayakumar Karumbasalam, who between them carry something like 40 years of IT experience and, more usefully, a prior exit: Parthiban built the marketing-automation startup Zarget, which Freshworks acquired. Founders who have sold a company before tend to start their next one with a clearer view of the boring parts, and IT operations software is nothing if not gloriously boring - which is to say, sticky, recurring, and hard to rip out once installed.
The interesting structural choice was building the whole thing from scratch as a single cloud-native platform. Much of the incumbent competition - the ConnectWises and Kaseyas of the world - grew by acquisition, which means their "unified" platforms are frequently a set of once-separate products wearing a shared coat of paint. SuperOps' bet is that if you build the RMM (remote monitoring and management) and the PSA (professional services automation) in the same codebase from day one, the data actually flows, and the AI you bolt on later actually has something coherent to reason about.
Remote monitoring, patch management, remote access and scripting - the round-the-clock plumbing that keeps endpoints healthy without a technician on site.
Service desk, ticketing, client management, contracts, quotes and invoicing. The part of IT that is really accounting and customer service wearing a hoodie.
AI-native unified endpoint management across Windows, macOS, Linux, iOS and Android - desktops, laptops, servers and phones in one connected system.
Monica works with full context of every device, ticket, patch and KB article - and can act, executing remediation across endpoints instead of only offering advice.
Cross-OS mobile device management for iOS, iPadOS and Android, folded into the same console as the desktop fleet - no separate tool, no separate login.
Centralized IT documentation, asset tracking, runbooks and reporting, so the knowledge lives in the platform rather than in one senior technician's head.
A great deal of enterprise "AI" is a chatbot bolted onto a dashboard: it summarizes the thing you were already looking at and calls it intelligence. SuperOps' framing for Monica, its AI agent, is deliberately more aggressive. Because everything lives in one platform - devices, tickets, patch records, assets, knowledge base - Monica has coherent context, and the claim is that it does not merely suggest a fix but executes remediation across endpoints. Whether that fully lands in practice is the sort of thing you verify with a trial, not a press release. But the architecture is the argument: agents are only as good as the context you can hand them, and a single unified data model is exactly the context a fragmented tool stack cannot provide.
Serial founder. Previously built Zarget, a marketing-automation startup acquired by Freshworks. Now chasing the far less glamorous, far larger world of IT operations.
Product and engineering lead with a background at Zoho, Optus and Freshworks, where he built data platforms - the unglamorous foundation an AI-native product actually needs.
| Round | Amount | When | Notable Investors |
|---|---|---|---|
| Seed | $3M | 2021 | Matrix Partners India (Z47), Tanglin |
| Series A | $14M | 2022 | Addition, Elevation Capital, Z47, Tanglin |
| Series B | $12.4M | 2023 | March Capital, Addition, Z47 |
| Series C | $25M | Jan 2025 | March Capital (lead), Addition, Z47 |
Figures compiled from public reporting and company releases; round sizes and dates are approximate. Series C valued the company at ~$200M post-money.
Parthiban and Karumbasalam start building AI-native PSA-RMM tooling for managed service providers.
Raises seed capital and ships its cloud-native RMM and PSA products.
Closes a Series A led by Addition to scale the platform and its integrations.
Raises further funding with March Capital participating as it expands internationally.
Raises at a $200M valuation, launches AI Endpoint Management and the Monica agent, and steps into the internal-IT market.
Ships the industry's first AI-native unified endpoint management platform, adding cross-OS MDM for iOS, iPadOS and Android.
A stated commitment to excellence in every interaction - the kind of line that only means something if support tickets get answered.
Ownership across the board. In a company shipping a UEM platform and an AI agent in one year, someone has to hold the pager.
A bias toward continuous improvement. Reviewers on G2 and Capterra keep noting how quickly the team ships fixes.
Transparency as a policy - and, not incidentally, "honest pricing" is one of the things customers most often praise.
It is an AI-native IT management platform that combines PSA, RMM, unified endpoint management, service desk, patching, documentation and reporting for MSPs and in-house IT teams.
Arvind Parthiban (CEO) and Jayakumar Karumbasalam (CPO/CTO) founded it in 2020. Together they bring roughly 40 years of IT experience.
$54.4M total, including a $25M Series C in January 2025 led by March Capital at a ~$200M post-money valuation.
MSP and IT-management vendors including ConnectWise, Kaseya/Datto, NinjaOne, Atera, Syncro, HaloPSA and N-able.
SuperOps' agentic AI assistant. It works with full context of devices, tickets, patches, assets and knowledge, and is designed to execute remediation, not just recommend it.
Compiled from public sources including SuperOps company materials, TechCrunch, Forbes, GlobeNewswire, Crunchbase and ChannelE2E. Financial figures are approximate and drawn from public reporting.