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Applied Intelligence Systems
Your operations generate data.
Your decisions still rely on instinct.
Most enterprise AI stays in presentations. Ours runs in production — monitoring pipelines, detecting fraud, accelerating document review, and optimizing traffic flow.
0%
Downtime Reduction
0%
Defect Detection
0x
Processing Speed
$0M
Fraud Prevented
The Problem
These challenges sound familiar because they are universal
Most organizations we work with describe the same three patterns. The specifics differ. The structural problem does not.
Your monitoring is reactive, not predictive
Equipment fails without warning. Pipelines leak before sensors register anomalies. Fraud passes through rule-based systems designed for last year's patterns. You find out about problems after they cost money.
Your teams spend 70% of their time on tasks AI should handle
Manual document classification. Visual inspection at line speed. Compliance review of routine filings. Your most skilled people are doing work that does not require their judgment.
Your AI pilots never reached production
The POC showed promise. The vendor presented impressive slides. But the gap between a working demo and a production system — integrated with your data, your workflows, your compliance requirements — was wider than anyone admitted.
Solutions in Context
What operational AI looks like when it works
Four of eight intelligence platforms — each designed around a specific operational problem, not a generic capability.
AI Video Intelligence
Your cameras record. They do not analyze.
Thousands of hours of footage, reviewed after the fact — if reviewed at all. Real-time video intelligence converts passive surveillance into active operational awareness — ANPR, fire detection, attendance tracking, pest alerts, and unlimited custom use cases across your existing cameras.
shreeng.ai.video-intelligence
Vehicle 98%
Plate 96%
GATE-CAM-01
REC 30fps
Person 94%
CORRIDOR-02
REC 30fps
Rodent 87%
PEST ALERT
STORAGE-03
REC 30fps
W-1042 96%
W-1038 91%
FACTORY-04
REC 30fps8 feeds active
|Scene 1/22 alerts4 detections
Smart Governance AI
Your analysts classify documents. The AI should.
Routine filings consume analyst time that should go to substantive review. Intelligent document pipelines handle classification, extraction, and risk-tier assignment automatically.
shreeng.ai.governance-intelligence
Ingest
→
Classify
→
Extract
→
Route
→
Resolve
Citizen Services PipelineScene 1/2
RTI/2026/MH/14872RTI
APPLICANT
INFORMATION SOUGHT
PIO OFFICE
FEE RECEIPT
Public Information Officer, Pune MC
Extracted Fields
ApplicantRajesh Kumar Sharma98%
PIO OfficePune Municipal Corp.96%
SubjectRoad repair expenditure FY2591%
Section6(1) — Information Request99%
Fee StatusRs. 10 — Paid (IPO)94%
SLA Deadline2026-04-02 (30 days)97%
RTI/2026/MH/14872RTIExtracting
CPGRAMS/2026/92847GrievanceClassified
BLD/PMC/2026/3841PermitQueued
BIRTH/HR/2026/10291CertificateQueued
8 doc types
|Scene 1/2Throughput: 847/hr3.2x baseline
Predictive Analytics
Your dashboards show what happened. Not what will.
Historical reporting tells you where you have been. Predictive systems tell you what is coming — equipment failure, demand shifts, operational bottlenecks — before they arrive.
shreeng.ai.predictive-analytics
Forecast94.2%
Actual91.8%
Drift2.4%
Demand Forecasting — FMCG / RetailScene 1/2
Demand Forecast vs Actual — 30dLive
Forecast
Actual
Anomaly Detection
14:23Demand spike — Sector B, NCR
11:07Supply lag — Vendor #12, Gujarat
What-If Scenario
+10% demand+Rs. 3.4Cr rev
-5% supply-Rs. 1.4Cr rev
Scene 1/2
Industry AI
Generic AI models fail in your industry.
Off-the-shelf models trained on general data miss the domain-specific patterns that matter in your operations. Industry AI is purpose-built for your data, your failure modes, your compliance requirements.
shreeng.ai.quality-inspection
Manufacturing — Metal ComponentsScene 1/2
PASS 98.2%
DEFECT — Scratch
4x
PASS 99.1%
LINE-03 LIVE
140 units/minInspection Log
#4821PASS98.2%
#4822DEFECT94.6%
#4823PASS99.1%
#4824PASS97.8%
#4825PASS99.4%
Defect Types
Scratch42%
Dent28%
Discolor18%
Other12%
Detection94.6%
Throughput140/m
Rejects2.1%
Documented Outcomes
AI that produced results in production
Five organizations. Five operating environments. Measurable outcomes from deployed systems — not pilot programs.
Pipeline
42% reduction in unplanned downtime
4,000 km pipeline network — 14 weeks to production
Government
3.2x faster document processing
Backlog reduced from 9 months to 6 weeks — 10 weeks to production
Manufacturing
94.6% defect detection rate
Up from 60% manual inspection — 12 weeks to production
Financial
$3.1M in prevented fraud losses
67% detection improvement — 16 weeks to production
Smart Cities
19% reduction in peak-hour travel time
340 intersections optimized — 20 weeks to production
Industries
Built for your operating environment
Every industry has different data, compliance requirements, and failure modes. We build for your specific environment — not a generic one.
Manufacturing
Quality inspection, predictive maintenance, supply chain optimization
94.6% defect detection
Financial Services
Fraud detection, credit decisioning, regulatory compliance
$3.1M fraud prevented
Healthcare
Clinical decision support, operational efficiency, patient flow
32% faster triage
Energy & Utilities
Grid optimization, asset maintenance, demand forecasting
42% less downtime
Retail & Commerce
Demand prediction, pricing intelligence, customer analytics
18% revenue uplift
Telecommunications
Network optimization, churn prediction, service automation
27% churn reduction
Transportation & Logistics
Route optimization, fleet management, warehouse automation
19% faster transit
How We Work
From assessment to measured outcomes in 17 weeks
Every engagement follows the same disciplined process. No ambiguity about what happens next, what it costs, or how we measure success.
Discovery
Week 1–2
Technical feasibility assessment
We audit your data infrastructure, integration points, and operational constraints. You get a clear yes/no on what AI can realistically accomplish in your environment.
Architecture
Week 3–4
System design and deployment plan
Solution architecture tailored to your data, compliance requirements, and infrastructure. No generic templates — specific design for your specific situation.
Build
Week 5–12
Working system validated against your data
Iterative development with continuous validation using your actual data. You see working outputs — not slide decks — at every checkpoint.
Deploy
Week 13–16
Production system with monitoring
Integrated into your operational workflow with real-time monitoring, alerting, and fallback mechanisms. The system runs in production, not in a sandbox.
Measure
Week 17+
Quantified impact report
Post-deployment measurement against the baselines established in Discovery. You know exactly what the system produced — documented, auditable, specific.
DiscoveryWeek 1–2
Technical feasibility assessment
We audit your data infrastructure, integration points, and operational constraints. You get a clear yes/no on what AI can realistically accomplish in your environment.
ArchitectureWeek 3–4
System design and deployment plan
Solution architecture tailored to your data, compliance requirements, and infrastructure. No generic templates — specific design for your specific situation.
BuildWeek 5–12
Working system validated against your data
Iterative development with continuous validation using your actual data. You see working outputs — not slide decks — at every checkpoint.
DeployWeek 13–16
Production system with monitoring
Integrated into your operational workflow with real-time monitoring, alerting, and fallback mechanisms. The system runs in production, not in a sandbox.
MeasureWeek 17+
Quantified impact report
Post-deployment measurement against the baselines established in Discovery. You know exactly what the system produced — documented, auditable, specific.
Infrastructure & Trust
Built for organizations that cannot afford to get AI wrong
When AI operates in production — making decisions that affect revenue, safety, and compliance — the infrastructure underneath has to be right from the start.
Data Sovereignty
Data processing stays within your jurisdiction. No data leaves designated boundaries without explicit governance approval. Full control over where your data resides and how it moves.
Full Explainability
Every AI decision produces an audit trail. Every recommendation carries a confidence score. Every model has interpretable outputs that your team can review and validate.
Infrastructure Flexibility
Cloud, on-premises, edge, or hybrid. We deploy where your data governance and latency requirements demand — not where it is convenient for us.
Regulatory Compliance
Designed for compliance with the EU AI Act, India AI guidelines, and sector-specific regulatory frameworks. Governance is architectural, not an afterthought.
Start the Conversation
The most useful conversation starts with your specific situation
Ready to discuss deployment
You have a specific operational challenge. You want to understand what AI can realistically accomplish in your environment, with your data, on your timeline.
Still evaluating
You know AI should be part of your operations but are not certain where the highest-impact opportunity is. Start with a structured assessment of your readiness.