01
Predictive
Failure-mode models with operator feedback loop.
Industrial Automation
Asset Management Automation.
Asset management, predictive.
Asset management automation — predictive maintenance, work-order auto-create, spares optimisation, technician mobile apps. CMMS / EAM integration, failure-mode models, MTBF plans.
9
Failures prevented
₹14Cr
Capex avoided
4.6h
MTTR
+19%
Asset availability
Trusted by enterprises
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Aaj Tak◆
Times of India◆
BJP◆
Beyond Reach Premiere League◆
Red Fm◆
Wellness Fuel◆
Junior Cricket Championship◆
ON Energy◆
ORYZO AI◆
Nursing Sarathi◆
Baatshala Ai◆
The Traffic People◆
Service overview
Engineering asset management automation
Asset management automation with predictive maintenance — failure-mode models on vibration / temp / current, work-order auto-create in CMMS / EAM, spares optimisation, technician mobile apps. From tribal runbooks to data-driven schedules.
Median 9 failures prevented in year one, ₹14Cr capex avoided. Numbers our last 12 deployments actually delivered.
Practice signalsSenior-ledWeekly demosCode review on every PRProduction on-call
01
9
Failures prevented
Year one
02
₹14Cr
Capex avoided
Year one
03
4.6h
MTTR
Down from 14h
04
+19%
Asset availability
Top deployment
Business challenges we solve
What keeps teams shipping asset management automation.
Maintenance scheduled by tribal knowledge
Failure-mode models from 2014
Work orders created after the breakdown
Spares stock misaligned with actual failures
Technician mobile apps barely usable on the floor
MTBF / MTTR reporting that no one trusts
Why choose this service
Three senior-led practice lines.
Outcome-anchored, owned by a practice lead with clear accountability, weekly demos, and the kind of code review culture you'd build internally if you had a year.
02
CMMS / EAM integration
Work-order auto-create, spares optimisation.
03
Mobile-grade
Offline-first technician apps, glove-friendly.
Key features
What ships, by default in every engagement.
F·01
Failure-mode models
Vibration / temp / current, retraining loop with operator feedback.
F·02
Work-order auto-create
CMMS / EAM integration, scheduled + reactive.
F·03
Spares optimisation
Reorder triggers, dead-stock alerts, supplier-aware.
F·04
Mobile-grade
Offline-first technician apps, glove-friendly, photo-aware.
F·05
MTBF / MTTR reporting
Data-driven, audit-ready, signed off.
F·06
Runbook automation
Operator copilots, RAG over manuals, parts catalogues.
Benefits & business outcomes
Numbers senior clients measure.
Failures prevented
Year one, top deployment
9
Outcome · 01
Capex avoided
Year-one predictive
₹14Cr
Outcome · 02
MTTR
Outage cut
4.6h vs 14h
Outcome · 03
Development process
Senior squads. Tight loops. Code every day.
01
Week 1–2Asset audit
Inventory, failure history, runbook quality, cyber.
02
Week 3–4Reference architecture
Predictive layer, CMMS bridge, mobile apps.
03
Week 5–16Pilot + scale
Single asset class, plant-wide rollout.
04
OngoingOperate
Model retraining, monthly tuning.
Technologies we use
The stack we ship in production.
Layer · 01
CMMS / EAM
SAP PM
IBM Maximo
Infor EAM
Layer · 02
Predictive
AWS IoT
Azure IIoT
InfluxDBLayer · 03
Mobile
React NativeFlutter
Offline-first
Industries we serve
Verticals where we've shipped, not where we dabble.
V·01
Manufacturing
Discrete + process
Signal9 Failures prevented
V·02
Power
Generation, T&D, substation
Signal₹14Cr Capex avoided
V·03
Oil & Gas
Upstream, midstream
Signal4.6h MTTR
V·04
Water
Treatment, distribution
Signal+19% Asset availability
V·05
Mining
Pit, process, dispatch
Signal9 Failures prevented
V·06
Facilities
Hospitals, universities, transit
Signal₹14Cr Capex avoided
Why Abstriq
Built for teams who ship fast in production.
We're not a body shop or a freelance marketplace. We run a senior-heavy engineering org with clear practice leads, real code review, and real on-call coverage.
Signal
9
Failures prevented
Signal
₹14Cr
Capex avoided
Signal
4.6h
MTTR
Signal
+19%
Asset availability
Vertical AI, not just LLMs
We build agents that actually move numbers — wired into your systems, your data, your workflows.
Ship in weeks, not quarters
Small senior squads, tight feedback loops, code-merge every day, demo every week.
Industrial-grade rigor
From PLCs to SOC2 — production safety, observability, and resilience baked in.
One team across four worlds
Web, mobile, AI, and industrial under one roof — no vendor ping-pong.
FAQs
The questions we hear most.
If yours isn't here — ping us and we'll reply with specifics on your stack.
01Predictive models accuracy?
Median 9 failures prevented in year one across 12 deployments. Failure-mode models with operator feedback in retraining loop.
02CMMS / EAM integrations?
SAP PM, IBM Maximo, Infor EAM + custom. Work-order auto-create, spares optimisation, MTBF reporting.
03Mobile app on the floor?
Offline-first, glove-friendly, photo-aware. Real on-device testing before any rollout.
04Capex ROI?
Median ₹14Cr capex avoided in year one across our last 12 predictive deployments. We measure, not promise.
Related services
Other practices inside Industrial Automation.
Free consultation
Ready to ship asset management automation?
Tell us the problem — proposal in under 48 hours. NDA-friendly by default, senior-led, and we typically walk you through a proof-of-concept before the engagement closes.
Reply in 24hNDA-friendlySenior-ledProduction on-call