Yantriki AI Technology LLP

INNOVATION
ENGINEERED.
IMPACT DELIVERED.

We help manufacturers—especially MSMEs—turn their data into meaningful business insights, make informed decisions and build reliable operations for sustainable growth. From machine operators to CEOs, we empower every decision-maker with clear, relevant insights and the confidence to act wisely, supported by accessible Industrial IoT, Industry 4.0 and AI solutions.

Vision & mission

Informed decisions. Reliable operations. Sustainable growth.

VISION

To empower every manufacturer to make informed, data-driven business decisions, achieve reliable operations and sustain long-term growth.

MISSION

To transform manufacturing data into actionable business insights through AI, Industrial IoT and Industry 4.0 technologies—helping manufacturers improve productivity, quality and profitability, from the shop floor to strategic leadership.

FactoryIQ / the decision pyramid

From the operator to the boardroom.

Each layer owner connects to the metrics FactoryIQ surfaces and the technical or business decision those metrics help inform.

LeadershipCEO / MD
MetricsRevenue and margin at risk · plant profitability · capacity · capex return
DecisionWhere to invest, grow, protect margins or redirect management attention.
Head of OperationsCOO / multi-plant
MetricsOTIF · bottleneck economics · risk-adjusted capacity · plant comparison
DecisionWhich constraint to resolve and how to allocate production across lines or plants.
FinanceCFO / controllers
MetricsCost per good unit · contribution · expected loss · maintenance ROI
DecisionWhich cost leak, repair or capital proposal has the strongest economic case.
Sales & MarketingCommercial teams
MetricsCapable-to-promise · order risk · product margin · demand-capacity gap
DecisionWhat to promise, prioritize, price or promote within reliable capacity.
Audit & QualityAssurance owners
MetricsFirst-pass yield · scrap · deviations · lineage · corrective actions
DecisionWhich defect source to address and whether the evidence and controls hold.
MaintenanceReliability engineers
MetricsMTBF · MTTR · failure risk · work orders · critical spares
DecisionInspect, repair, replace or defer—with production consequence visible.
Floor SupervisorsShift / production
MetricsTarget vs actual · OEE losses · stoppages · bottleneck minutes
DecisionWhich issue to address now to protect the shift's output and quality.
OperatorsMachine / line
MetricsMachine state · cycle time · alarms · local quality drift
DecisionRecognize an abnormality and take the right local response.

One trusted evidence chain supports immediate shop-floor action and long-range business strategy.

How intelligence becomes impact

From factory data to measurable business value.

Yantriki connects factory data to decision-ready insight, then tracks how informed decisions affect revenue, ROI, profitability and customer delivery.

01 · CAPTURE

Physical world

Machines, processes, people and products create operational signals.

IIoT sensors & connected systems
02 · CONNECT

Digital data

Collect, validate and contextualize the data that reflects how the factory runs.

Industrial data collection
03 · ANALYZE

Business insights

Apply analytics and AI/ML to explain patterns, risks and opportunities.

Data science & AI/ML
04 · INFORM

Informed decisions

Give each decision owner clear, relevant evidence and practical options.

Decision intelligence
05 · REALIZE VALUE

Business outcomes

Turn better decisions into stronger revenue, ROI, profitability, productivity and customer delivery.

Revenue · ROI · sustainable growth

Measured business outcomes feed the next cycle—showing what improved and where to act next.

FactoryIQ capabilities

From first signal to measured outcome.

A connected product architecture for acquisition, insight and decision support. The mix of capabilities follows the plant's systems and the questions worth answering.

01 / ACQUIRE

FactoryIQ Edge

Collect and normalize selected machine and process signals locally, with buffering, quality checks and controlled outbound transfer.

02 / CONNECT

Enterprise context

Bring relevant PLC, SCADA, historian, MES, ERP, inventory and maintenance data into a common asset, product and order context.

03 / MEASURE

Operational & business metrics

Connect OEE, throughput, quality, energy and reliability to cost per unit, capacity, customer commitments and margin.

04 / ANTICIPATE

Reliability & forecasting

Use failure patterns, MTBF, MTTR, survival and predictive models to evaluate maintenance and production exposure.

05 / DECIDE

Decision intelligence

Explain what changed, quantify its consequence and compare repair, scheduling, order and investment scenarios.

06 / VERIFY

Governance & value ledger

Keep metric definitions, assumptions, approvals and outcomes traceable so teams can assess whether an action delivered value.

Our strengths

The building blocks of an intelligent factory.

Our experience in operations, observability, cloud, data and AI helps translate the promise of Industry 4.0 into practical systems for manufacturers.

01 / OBSERVE

Observability & data collection

Capture operational signals, establish useful telemetry and make complex systems understandable from their behavior.

02 / CONNECT

Cloud & data engineering

Build dependable data flows and infrastructure that connect source systems to governed analysis.

03 / UNDERSTAND

Business metrics & analytics

Define measures in context and translate technical events into performance, cost, risk and opportunity.

04 / LEARN

Data science, ML & model training

Frame problems, prepare data, train and validate models, and monitor them through their lifecycle.

05 / DECIDE

AI for decisions & business insight

Apply AI and analytics to explain patterns, compare scenarios and surface decision-ready business insight grounded in evidence.

06 / OPERATE

Reliable operations

Design with security, resilience, visibility and maintainability in mind from the beginning.

07 / IMPROVE

Measured outcomes

Set a baseline, understand the economics and examine the result after a decision is put into practice.

Co-Founder / Executive Portfolio

Rajgourav
Jain

Co-Founder, CEO & CTO
Yantriki AI Technology LLP

Rajgourav Jain, as Co-Founder, CEO and CTO, leads Yantriki’s vision, product strategy, technology innovation and business execution—aligning customer needs, financial priorities and engineering direction. His focus is building AI-based smart business insights and Industry 4.0 products that turn complex operations into informed decisions, reliable outcomes and lasting customer value.

Company & product strategyTechnology & AI directionCustomer value & execution
Contact us

Ready to make your factory data useful?

Tell us about the decisions your team faces, the data you have and where better insight could change the result.

connect@yantriki.tech
Yantriki AI Technology LLP
Innovation engineered. Impact delivered.