Software Indian businesses actually adopt

BeyondBoxAI builds AssetAI, a CMMS purpose-built for how manufacturing plants actually run maintenance — assets, breakdowns, work orders, PM schedules, spares, AMC, approvals and analytics in one system, rather than a global product with an India label stuck on it.

What we choose not to build

Our product decisions are as deliberate as our features. AssetAI does not bolt on a permit-to-work system with issue/close workflows and expiry tracking — hazardous work is instead handled through a Safety Measure master list mapped per asset and printed on the job sheet, which is enough for most plants without turning every breakdown into a paperwork exercise. We haven't wrapped the platform in [VERIFY: ISO or factory-act compliance certifications] claims we can't stand behind, and we don't publish customer counts or outcome percentages to make a homepage look busier than the product is. If a capability isn't real and shipped, we'd rather leave it off the page than imply it with a badge or a buzzword — you can see the full list of what's actually built on /features.

How the platform is put together

The engineering choices behind AssetAI come from plant realities, not a generic feature checklist:

• Multi-tenancy is structural, not cosmetic. Every record carries a company reference, a global query scope rewrites lookups to that company automatically, and only super admins can step outside it — the mechanism that lets one platform serve many plants without data bleeding between them.
• The location tree matches a real plant. Plant, area, line, functional location — a fixed four-level hierarchy, auto-coded, with every asset and work order hanging off it. Not a flat asset list dressed up as a hierarchy.
• Service calls know their coverage state. Raising a call auto-stamps warranty, AMC, or paid status from a fixed precedence and pre-fills the vendor from the asset's AMC record, so nobody's digging through a folder mid-breakdown.
• RRR scoring shows its work. Repair, Review, or Replace guidance per asset is computed from work-order cost against purchase cost, 12-month failure trend, downtime cost, age and warranty state — and the reasoning is shown as readable lines, not a single opaque score.
• Scheduling covers six maintenance types from one form — preventive, usage/meter, predictive/condition, calibration, statutory inspection, lubrication — with a daily job at 06:00 generating due work orders across every tenant automatically.

This is also the technical backbone for ideas like OEE and broader TPM practice: you can't manage what you can't attach a cost and a cause to, and that's what the work-order and closure rules are built to guarantee.

Who we build it for

AssetAI is built for people running maintenance on Indian factory floors, not for a generic buyer persona:

• Operators who need to report a breakdown in seconds, by QR scan and a company PIN, without a login or an app install.
• Planners and maintenance heads replacing spreadsheets-plus-ticketing with one system for PM/PdM scheduling, spares and approvals.
• Plant and reliability leads who want RRR guidance and downtime-cost Pareto views drawn from data the system already has, not a separate consulting exercise.

Browse how this plays out by sector on /industries, see it against real workflows on /use-cases, or book a 30-minute demo run on your plant's data, not our slides.

AssetAI exists because Indian plants run maintenance differently from how most CMMS products assume — multiple shifts, operators who aren't going to log into a desktop app mid-breakdown, and a maintenance head who needs spares, AMC and approvals in the same place as the breakdown log, not spread across a spreadsheet and a ticketing tool bolted on top.

How a breakdown actually becomes data

Most CMMS platforms ask an operator to log in, pick an asset from a list, and fill a form before anyone even knows there's a problem. AssetAI starts from the opposite assumption — the shop floor won't do that, so the system shouldn't ask it to.

• An operator scans the machine's QR code, types a name and the company's scan PIN, and the breakdown exists as a record — no credentials, no app install.
• The PWA works offline: the form and photos queue on the device when there's no signal and sync once connectivity returns, so a breakdown in a low-signal corner of the plant still gets captured at the moment it happens, not from memory an hour later.
• Every work order raised against that breakdown carries its parts, outside services and labour, so the true repair cost sits with the repair — not buried in a separate purchase or accounts ledger.
• A breakdown or corrective work order cannot close without a recorded failure cause and remedy. That's enforced in the code path, not left to a supervisor's discretion, which is the only reason failure-Pareto and RRR reporting downstream can be trusted.

That single design choice — make the shop floor's job effortless, make the data discipline non-negotiable — is what "built for the shop floor" means in practice, not just a line on a homepage.

Why this matters for plants specifically

A CMMS decision in an Indian manufacturing context carries different weight than in a plant that's already running a mature reliability programme. Maintenance teams here are often building preventive and predictive practice alongside the tool, not after it, and every added click or login screen is a reason a breakdown gets logged on paper instead of in the system.

• The four-level location hierarchy (plant, area, line, functional location) mirrors how a plant is actually organised, so assets and work orders sit where people already think of them, not in a flat list.
• Coverage-aware service calls auto-stamp warranty, AMC or paid status and pre-fill the vendor from the asset's AMC record, cutting the manual lookup that normally happens at the worst possible time — mid-breakdown.
• RRR scoring gives a plant or reliability lead a reasoned repair/review/replace view per asset, built from work-order cost, failure trend, downtime cost, age and warranty state already sitting in the system — not a separate consulting exercise.

See how these pieces fit together across industries and common scenarios on /use-cases, check what's included at each tier on /pricing, or book a demo to see a breakdown go from QR scan to closed work order in real time. If your interest is compliance framing, our current position is on /standards — we'd rather point you there than overstate it here.