Velaris Wants to Fire the Spreadsheet Running Your Renewals

Ask a customer success manager how they know an account is about to leave, and you will usually get an honest, slightly embarrassed answer: a gut feeling, a slow-to-reply email, a renewal date creeping up in a spreadsheet nobody has touched since the last quarterly review. The knowledge is real. It is just scattered across a dozen browser tabs and one overworked human brain.

Velaris, a startup founded in 2021 and now run out of London, Madrid and a hub in Sri Lanka, thinks that arrangement is the actual problem. Not the people. The setup. In 2025 the company was named the only Visionary in the Gartner Magic Quadrant for Customer Success Platforms - a category crowded with older, better-funded names - by making one argument loudly: the software, not the person, should be the first to notice when a customer is drifting.

The job nobody wants to do by hand

Post-sales work has quietly become one of the hardest jobs in software. A single customer success manager can carry dozens of accounts. Each account leaves a trail across the CRM, the support desk, product usage logs, Slack threads, call recordings and a pile of personal notes. The signals that matter - a champion who left, a feature that stopped getting used, a support ticket that never really got resolved - are all there. They are just never in the same place at the same time.

The old answer was the health-score dashboard: a color-coded grid you were supposed to check, ideally before Monday's standup. The trouble with a dashboard is that it waits. It sits there being accurate and unhelpful until someone remembers to look. By the time the red cell catches an eye, the renewal conversation has often already gone quiet.

That framing came from lived experience. Co-founders Dilanka Kalutota and Jose Fernandez-Castano met as operators at Mews, the hospitality software company. Kalutota went on to be COO at Exponea, a marketing platform later acquired by Bloomreach. They had both spent years on the revenue side watching good teams lose accounts they could, in hindsight, have saved - if only someone had connected the dots earlier.

A graph instead of a grid

The piece Velaris talks about most is not the AI chat box everyone now ships. It is what sits underneath: a context graph. Instead of storing customer data in separate tables and asking a person to reconcile them, the graph stitches usage, conversations, support activity, tasks, notes and relationship history into one continuously updated map of each account. When something changes - a drop in logins, a shift in tone, a stalled onboarding - the connections change with it, and the system can flag it.

Around that graph, Velaris organizes its product as a set of roles rather than a menu of screens. There is Copilot, an AI teammate meant to answer questions and draft the busywork. There is View for seeing an account whole, Analyze for health scoring, Orchestrate for automating low-value tasks, and Execute for standardizing the messy processes that usually live in someone's head. The company says it ships with more than 70 integrations and support for MCP, the emerging standard for wiring AI tools into live data.

The naming is a tell. Copilot, View, Analyze, Execute - these are verbs and jobs, not database features. The pitch is that the tool should carry the cognitive load a CSM keeps dropping, and hand back the part humans are actually good at: the conversation.

Why Gartner's badge matters more than it looks

Being called a Visionary by Gartner is not a popularity contest, and it is not the same as being the biggest. The Magic Quadrant splits vendors by how well they execute today and how complete their vision of the future is. Established leaders usually win on execution because they have the customers and the years. Landing alone in the Visionary box, as Velaris did in the 2025 report for customer success platforms, is Gartner's way of saying a company is pointed somewhere the rest of the market has not fully gone yet.

The money tells a more modest story, and that is part of what makes the recognition interesting. Velaris raised a €4.7 million seed in 2022, led by Octopus Ventures with ZAKA and 365.fintech, and has stayed lean since. Third-party trackers peg its 2025 revenue at roughly $11 million on a team of about 100 people. Those are the numbers of a company still early in its run, not an incumbent buying its way onto a chart.

The company it keeps - and doesn't

It helps to place Velaris on a map of the tools it gets compared to, because the category is muddier than it sounds. Some of the names in the same conversation are solving a different problem entirely.

Planhat and Hook are the closest neighbors - customer success and retention platforms aimed at the same post-sales teams. HubSpot is the CRM most of these tools sit next to rather than replace. Apty and Usetiful are a different animal: digital adoption platforms that live inside an app to guide and onboard users, step by step. They answer "how do I use this screen," not "is this account about to churn." Velaris is betting the second question is the one that decides whether a SaaS business keeps its revenue.

From operators to a market that wasn't drawn yet

There is a pattern to founders who build tools for a job they used to do. They tend to be impatient with the parts everyone else has accepted as normal. Kalutota and Fernandez-Castano had both sat on the revenue side long enough to stop believing that losing a renewable account was bad luck. More often it was a failure of attention - not because anyone was careless, but because attention does not scale. A person can hold a handful of accounts in their head. A book of sixty defeats them, and no amount of grit fixes that.

So the early Velaris pitch was less about artificial intelligence and more about who does the noticing. When the company raised its seed in 2022, it described itself as the world's first AI-led customer success platform. It was a bold thing to put in a press release, and it would have aged badly if the market had moved a different way. Instead the category caught up to the framing. By 2025, "AI-native" had gone from a marketing adjective to the axis Gartner was measuring vendors on, and Velaris was standing where it had planted its flag three years earlier.

What a team actually does with it

Strip away the category language and the day-to-day use is concrete. A customer success manager opens the account and sees the whole thing at once - usage trends, open tickets, the last few conversations, who the champion is and whether that champion has gone quiet. The system has already scored the account's health and, if something moved, has already raised a flag. Instead of spending the first hour of the day assembling context, the CSM starts from it.

From there the automation does the parts that used to eat afternoons. Renewal dates surface before they become emergencies. Expansion signals - a team hitting a usage ceiling, a new department logging in - get flagged as opportunities rather than discovered by accident. The AI teammate drafts the follow-up, updates the record, and keeps the process consistent across a team where every person had previously invented their own. The promise is not that software runs the relationship. It is that software clears the desk so a person can.

The catch worth naming

A prediction engine is only as honest as the data feeding it. A context graph that pulls from every tool a company owns inherits every gap and every stale field in those tools. "The software should notice first" is a clean promise; keeping it means the integrations stay wired, the usage data stays clean, and the alerts stay trustworthy enough that a busy team does not learn to ignore them. That is the unglamorous work behind the vision, and it is where AI-native platforms tend to be tested.

There is also the plain fact that Velaris is small next to the leaders it shares a quadrant with. Vision is easier to earn than durability. The next few years will show whether being early to the AI-native idea converts into the kind of installed base that keeps a company on the chart. For now, the more useful takeaway is the reframing itself - and that part is free to borrow. If your team still detects churn by remembering to check a spreadsheet, the question Velaris is asking is worth asking of your own stack: why is a human still the first line of defense?