Nirmana 2.0
Reliability-centred operations for power utilities — from the field event to the balance sheet, in one platform.
Digital Architect
GlobalSoft Technologies
Bhubaneswar, Odisha, India
One platform for outage planning, maintenance, assets, supply chain, stores, finance, quality, strategy and safety.
The value proposition
Four outcomes, one system of record
Keep critical assets in service
Weibull life modelling and forecast-driven preventive maintenance intervals protect plant load factor. The plan is built from real failure history, not from memory.
Remove reactive firefighting
SIPOC-mapped processes, variance visibility and spare-consumption control cut emergency labour and unplanned inventory spend. Every consumed spare is costed, not estimated.
Make every event defensible
Job safety analysis gates and permits to work stand in front of the job; double-entry postings stand behind it, so the audit trail runs from the field to the ledger.
Let the work be visible
Universal kanban boards across maintenance, procurement, logistics and product development, with a Gen AI co-pilot for the desk work that slows engineers down.
Eleven tabs, one login
What you can do here
Each tab has its own workspace; the operational tabs each ship a printable user manual.
Agile everywhere
The universal kanban strip
The same drag-and-drop board pattern runs the four flows that decide whether an outage finishes on time.
Maintenance Work Orders Procurement Bids Logistics Inbound Product RoadmapReciprocal trust, not one-way management
Clients rate vendors on specification compliance and delivery; vendors rate clients on payment speed and inspection clarity. Both ratings sit beside the transaction, so the risk premium can be argued with evidence.
Engineering first
Reliability and predictive analytics
Nirmana replaces intuition with life-data and condition data.
Weibull analytics
Fit component life data to Weibull distributions, read the failure trend and set the replacement interval from the curve instead of from the calendar.
Asset Health Index
A composite AHI per asset, from condition readings, criticality and failure history, so the cockpit ranks what deserves attention this week.
PM forecasting
Generate due preventive maintenance from master task lists, calendars and running hours, and let the planner resolve clashes on the Gantt view.
Predictive maintenance
Trend inspection-point readings from predictive-maintenance routes to catch degradation before it becomes a forced outage.
Assistance that reads your plant data
AI features are configuration-gated: they activate on a deployment once the provider key is set.
Gen AI co-pilot
Drafts the narrative for a Business Excellence section and generates its illustration, and answers work-order questions in context so the engineer stays on the job.
Agentic sourcing and restock
An agent watches asset health and raises the sourcing action, while the restock monitor drafts replenishment from stock cover and lead time.
GST Intelligence Agent
A conversational agent over the tax and commercial context, so a planner can ask a question instead of hunting through registers.
Security & governance
Fortified by default, auditable by design
Two-factor authentication
TOTP second factor for administrative and operational accounts, protecting critical plant data.
Role-based access
Django groups such as Maintenance Planners, Procurement Officers, Safety Officers, COO and CFO gate each tab and each action.
Dr. Crawler diagnostics
Continuous scanning of the application's routes so dead links and broken screens are found by the platform, not by the plant.
Double-entry trail
Every consumed spare and every billed service posts to the ledger, so operational reality and the books agree.