01
Plant-grade
Time-series at plant scale, sub-second query.
Industrial Automation
Industrial Data Analytics.
OT data → analytics, securely.
OT data → cloud analytics — time-series pipelines, historian bridges, OT/IT unification without breaking the air-gap. Anomaly detection, forecasting, dashboards, executive reporting.
+24%
Anomaly catch
−31%
Forecasting
100%
OT/IT
<1s
P95 query
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 industrial data analytics
OT data → cloud analytics with auditor-grade pipelines. Historian bridges, time-series rollups, anomaly detection, forecasting, and dashboards that survive the difference between what the floor sees and what the boardroom reads.
We pick the data store and tooling per stack — not the cheapest, not the trendiest. AVEVA PI / InfluxDB / Timescale / ClickHouse, depending on what your team already runs.
Practice signalsSenior-ledWeekly demosCode review on every PRProduction on-call
01
+24%
Anomaly catch
v. tribal thresholds
02
−31%
Forecasting
Reorder automation
03
100%
OT/IT
Unification
04
<1s
P95 query
On plant-scale data
Business challenges we solve
What keeps teams shipping industrial data analytics.
OT data invisible to leadership
Plant historian isolated from cloud
Anomaly detection relying on tribal thresholds
Forecast models from 2014 still in production
Dashboards not matching floor reality
Air-gap blocking every analytics question
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
OT/IT-aware
Air-gap-friendly, audit-ready architecture.
03
Story-driven
Dashboards match floor reality, boardroom questions.
Key features
What ships, by default in every engagement.
F·01
Time-series pipelines
Historian bridges, OT-side aggregation, cloud-side rollups.
F·02
Anomaly detection
Self-supervised models on vibration, temp, current.
F·03
Forecasting
Per-asset forecasting, replenishment triggers.
F·04
Dashboards
Floor-to-boardroom, with drill-down narratives.
F·05
Air-gap-friendly
Restricted DMZ, signed firmware, audit-ready.
F·06
Executive reporting
OEE, throughput, energy — narrative-quality.
Benefits & business outcomes
Numbers senior clients measure.
Anomaly catch
v. tribal thresholds
+24%
Outcome · 01
Forecasting
Reorder automation
−31%
Outcome · 02
OT/IT
Unification without air-gap break
100%
Outcome · 03
Development process
Senior squads. Tight loops. Code every day.
01
Week 1–2Plant audit
Historian state, network topology, cyber posture.
02
Week 3–4Architecture
TS pipeline, OT/IT bridge, dashboards.
03
Week 5–14Pilot + scale
Single asset pilot, plant-wide rollout.
04
OngoingOperate
Model retraining, dashboards, tuning.
Technologies we use
The stack we ship in production.
Layer · 01
TS DB
InfluxDBTimescale
AVEVA PIClickHouse
Layer · 02
Cloud
AWS IoT
Azure IIoT
Databricks
Layer · 03
Visualisation
GrafanaTableau
Looker
Industries we serve
Verticals where we've shipped, not where we dabble.
V·01
Manufacturing
Discrete + process
Signal+24% Anomaly catch
V·02
Power
Generation, T&D
Signal−31% Forecasting
V·03
Oil & Gas
Upstream, midstream
Signal100% OT/IT
V·04
Water
Treatment, distribution
Signal<1s P95 query
V·05
Mining
Pit, process, dispatch
Signal+24% Anomaly catch
V·06
Logistics
Fleet, dispatch
Signal−31% Forecasting
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
+24%
Anomaly catch
Signal
−31%
Forecasting
Signal
100%
OT/IT
Signal
<1s
P95 query
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.
01Which time-series database?
AVEVA PI for plant historians, InfluxDB/Timescale for fresh rollups, ClickHouse for high-cardinality analytics. We pick per stack.
02Air-gap friendly?
Yes — restricted DMZ, signed firmware, audit-ready architecture. We pass plant cybersecurity reviews.
03Anomaly vs tribal thresholds?
Self-supervised models on vibration / temp / current, with operator feedback in the retraining loop. Median +24% catch vs manual.
04Forecasting accuracy?
Per-asset forecasting, replenishment triggers, dead-stock alerts. Median −31% inventory carrying cost.
Related services
Other practices inside Industrial Automation.
Free consultation
Ready to ship industrial data analytics?
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