Most companies don’t actually know where their assets are. Not precisely, anyway. A laptop gets reassigned three times and nobody updates the spreadsheet. A rooftop HVAC unit gets serviced by a contractor who never logs it back into the system. Multiply that across fifty facilities and thousands of devices, and you end up with the situation most IT and facilities teams quietly live with: a patchwork of guesses dressed up as an inventory. Sclera was built to close that gap.
Founded in 2018, Sclera positions itself as a next-generation asset management platform aimed at enterprises juggling both IT hardware and physical facilities at scale. Rather than treating “asset management” as a single, generic category, the company splits its offering into two connected solutions — Optima for IT asset management and JLL Serve for facilities and operations — built on top of a shared data layer. That structure matters more than it sounds. A lot of asset tools force teams to choose between depth on devices or depth on buildings. Sclera’s pitch is that you shouldn’t have to.
What the platform actually does
Strip away the marketing language and Sclera is, at its core, a system for three things: getting clean data into an asset registry, keeping that data current through automated workflows, and turning the resulting numbers into decisions someone can act on.
The onboarding piece deserves more attention than it usually gets. Most asset management failures don’t start with a bad dashboard — they start with messy intake. A batch of new devices arrives, gets tagged inconsistently, and six months later nobody trusts the reports because half the entries are duplicates or dead ends. Sclera leans on automated classification during onboarding specifically to head that off, centralizing tracking from day one instead of trying to clean up a mess retroactively.
From there, the operational layer kicks in: alarm management for equipment that’s drifting out of spec, maintenance scheduling that’s proactive rather than reactive, and ticketing that routes itself instead of sitting in an inbox. None of this is conceptually new — facilities teams have wanted this for decades — but the execution depends on whether the underlying asset data is trustworthy, which loops back to why the onboarding step matters so much.
Finally there’s the reporting layer, which the company describes as an “intelligent command center.” In practice, this is where thousands of scattered data points — inspection results, downtime logs, lifecycle stages — get compressed into trends a facilities director or IT manager can actually use, including guidance on when and how to retire or dispose of assets responsibly.
Why the IT-plus-facilities combination is the interesting part
If you’ve worked in either discipline, you know they usually run on separate systems that don’t talk to each other. IT tracks laptops, servers, and licenses. Facilities tracks HVAC units, elevators, and square footage. They rarely share a data model, which means a company’s “total asset picture” is really two incomplete pictures stapled together at budget time.
Sclera’s Optima and JLL Serve products are built to sit on the same underlying platform, which is presumably the reasoning behind the “one vision, all assets” framing the company uses. For an enterprise managing dozens of sites, that kind of consolidation isn’t a nice-to-have — it’s the difference between a facilities manager and an IT director working from the same numbers versus arguing over whose spreadsheet is more accurate in a budget meeting.
The partnership network backs this up somewhat. Sclera works with JLL on the facilities side, TD SYNNEX for distribution, and AWS for the underlying cloud infrastructure. None of those names are surprising for an enterprise asset platform, but they do suggest a company trying to plug into existing enterprise procurement relationships rather than asking IT and facilities teams to rip out what they already have.
Does it actually move the needle?
The company points to a case study involving a Fortune 50 consumer products company operating across 51 locations. The headline numbers — over a million dollars in savings from more accurate asset inspections, more than 200,000 assets inspected with improved accuracy, and a 20 percent drop in asset downtime — are the kind of figures every vendor in this space likes to cite, so it’s worth treating them as a single data point rather than a universal outcome. Still, the shape of the story is plausible: at that scale, even modest gains in inspection accuracy and downtime reduction compound quickly, and a 20 percent downtime reduction across 51 locations is not a trivial claim if it holds up.
What’s worth asking before adopting a platform like this
Any enterprise asset management decision comes down to a handful of practical questions, and Sclera is no exception:
● How disruptive is the onboarding process for an organization with years of existing, possibly messy asset data?
● Does the platform integrate cleanly with whatever ticketing, procurement, or ERP systems are already in place?
● For organizations that only need IT asset management or only need facilities management, is paying for a combined platform worth it, or does it make more sense to wait until both are genuinely needed?
● What does the AWS-hosted infrastructure mean for data residency requirements, particularly for multinational operations?
None of these questions have a universal answer — they depend entirely on the size and complexity of the organization asking them. But they’re the right starting point for any team evaluating Sclera against the alternatives already on the market, whether that’s a legacy CMMS, a point solution for IT asset tracking, or simply continuing to manage things through spreadsheets and institutional memory.
The bigger picture
Asset management as a category has historically been unglamorous — it’s the kind of software nobody thinks about until an audit goes badly or a piece of equipment fails without warning. What’s changed is the scale at which enterprises now operate, with assets spread across cloud infrastructure, hybrid offices, and dozens of physical sites simultaneously. Platforms like Sclera are a response to that sprawl: less about tracking a spreadsheet’s worth of laptops, and more about giving large organizations a single, reasonably trustworthy picture of everything they own, wherever it happens to be sitting.
Whether that single picture is worth the switching cost is a decision every organization has to make on its own terms. But the underlying problem Sclera is aimed at — fragmented, unreliable asset data spread across disconnected systems — is real, and it’s one that tends to get more expensive to ignore, not less, the larger a company grows.
