Fleet — total cost of equipment ownership
Fuel, maintenance, downtime and record-keeping — the components of the cost per engine-hour for every unit.
−18–25%
maintenance & repair costs
DATAROCKS
Equipmetry — the operating system for businesses that run on physical assets
DATAROCKS builds a family of industrial B2B platforms for companies whose efficiency depends on physical assets. Equipment, machinery, people, work orders, resources and documents — in one digital loop where every asset has a history, a status, an owner, a cost, and a clear next step.
Agribusiness · Construction · Oilfield services · Energy · Industry · Food chains & retail
PLATFORM
The operating system for asset-intensive businesses
Year after year, our platform becomes the primary source of ground truth and the working tool for managing equipment, machinery and distributed assets.
Companies see operations as they really are: asset condition, work progress, resource consumption — and how all of it affects the bottom line.
Industries that use our system
- +Construction & development
- +Agribusiness
- +Oilfield services
- +Energy
- +Mining
- +Quick-service restaurant chains
- +Logistics
- +Retail
The platform ships in industry-specific configurations. Each one speaks the language of its industry and covers its scenarios — while the core stays the same.
FLEET MANAGEMENT
Equipmetry Fleet
lifecycle management for your equipment fleet.
Metric: total cost of equipment ownership
PRECISION AG
Equipmetry Agro
managing the full production cycle of a farming enterprise.
Metric: margin per hectare
RENTAL MANAGEMENT
Equipmetry GO
tracking rented construction equipment.
Metric: cost per machine-hour
SERVICE DESK / CMMS
Equipmetry Station
running a service business — from ticket to invoice.
Metric: margin per work order
EAM / CMMS
ETRY
maintenance for distributed and stationary equipment.
Metric: equipment availability
Didn't find your industry? The platform adapts to your process
Request a diagnostic →The platform core
All five products are interoperable because they describe operations using the same concepts.
From a management standpoint, a combine harvester, a crane and an oven are structured the same way: there is an asset, something happens to it, someone is responsible for the response, the work consumes resources, and it ends in a document. The platform core is eight such concepts:
Assetwhat is managed: machinery, equipment, a unit.
Contextwhere the asset operates: a branch, a field, a job site, a geofence.
Signalhow a fact enters the system: a sensor, GPS, a photo, an inspection, a ticket.
Approvalwho decides: sign-off, acceptance, role permissions.
Workwhat gets done: a work order, maintenance, a repair, a field operation.
Resourcewhat it takes: people, spare parts, fuel, contractors.
Documenthow it ended: a certificate, a work-completion act, an invoice, a timesheet.
Analyticswhat it means: downtime, costs, SLA, margin.
ECONOMIC IMPACT
One metric per industry
There are dozens of operational metrics. The governing one is a single number. Each product is built around the figure by which its industry judges efficiency.
Agro — margin per hectare
Fuel, overlaps, work quality and yield — in a single figure for every field.
+18,5%
net profit
GO — cost per machine-hour
Only verified equipment work gets paid for.
−28%
operating cost of rentals
Station — margin per work order
Labor, parts and markup — in the financial summary of every work order.
+15%
margin per work order
ETRY — equipment availability
An hour of downtime for an oven or a fridge is revenue the location never collects.
−41%
equipment downtime
HOW WE WORK
From scattered processes to a managed operational loop
Projects differ in industry, scale and starting point, but they go through the same stages: first understanding the business, then designing the loop, then implementation and embedding the practice.
UNDERSTANDING
01
We understand the management context
business goals, roles, sites, loss areas
02
We map the current operating model
how tickets, repairs, documents and accountability work today
DESIGN
03
We map the data and asset landscape
data sources, asset registries, integrations, critical gaps
04
We design the target management loop
processes, approvals, documents and reporting for the target model
ROLLOUT & GROWTH
05
We launch the platform and processes
configuring roles, routes and mobile scenarios, supporting the first cycles until they run smoothly
06
We launch the control and improvement cycle
impact KPIs, data quality, execution discipline
The result: a single digital loop for managing assets, work, resources and decisions.
OUR VISION
Value is shifting from interfaces to the domain model
AI makes intelligence accessible, but in an operational business intelligence alone is not enough. For an algorithm to act rather than just answer, it needs domain context: how assets, processes, roles, documents, constraints and accountability are structured.
We are building that context — an operating system for managing a company's physical loop. As routine execution shifts to automation, value moves to those who understand real-world operations and own the data structure.
01
Platform depth
A unified loop for managing assets, work, resources and documents — growing reliability and scenario depth.
02
Industry configurations
Developing products for key industries on a shared platform core.
03
Data and intelligence
From logging events to forecasting and decision support: analytics, control, predictive tools.
04
Our vision →Geography
The foundation is Kazakhstan. Next come CIS markets, then international expansion through partnerships and mature product solutions.
Start with a diagnostic
The first meeting isn't a feature demo. We analyze your operating model: which assets generate revenue, where hours, resources and money leak, which processes live outside any system. The outcome is a prioritized implementation roadmap with an impact estimate — yours to keep either way.
Request a diagnostic