Manufacturing

Enabling smart, data-driven manufacturing with predictive, connected, and efficient systems.

Explore sectors

Every sector faces a different set of challenges, whether it's operational complexity, regulatory pressure, or the race to become data-driven. At Fornax, we bridge that gap with a blend of strategy, analytics, and engineering, aligning technology investments directly with business outcomes.

Our domain-focused teams work closely with clients to modernise platforms, embed AI, and enable measurable transformation. From accelerating manufacturing productivity to transforming retail experiences and enhancing financial decision-making, we deliver results that scale.

Make better financial decisions with modern reporting and analys

Every sector faces a different set of challenges, whether it's operational complexity, regulatory pressure, or the race to become data-driven. At Fornax, we bridge that gap with a blend of strategy, analytics, and engineering, aligning technology investments directly with business outcomes.

Predictive Maintenance

Our predictive systems analyse telemetry from machines and sensors to detect anomalies before they cause downtime. This enables maintenance scheduling based on actual equipment health rather than fixed cycles. By combining historical failure data with live condition monitoring, we help manufacturers extend asset lifecycles and avoid production interruptions improving both reliability and throughput.

Digital Twin Modelling

We develop digital replicas of production environments that simulate processes, material flows, and equipment behaviour. These models allow teams to test changes virtually before implementing them on the floor. With these simulations, manufacturers can optimise layouts, predict capacity constraints, and fine-tune workflows without disrupting live operations. Itโ€™s a faster, safer path to innovation and efficiency.

Quality Intelligence

By integrating machine vision, sensor data, and process analytics, we help manufacturers achieve real-time quality control. Defects and variances are detected early, allowing immediate adjustments that prevent large-scale waste. The system learns continuously, identifying root causes and correlating them to supplier, operator, or environmental factors, ensuring that quality improvements are measurable and sustainable.

Energy & Resource Optimisation

Our analytics frameworks monitor energy and resource usage across assets, shifts, and plants. We help identify inefficiencies, forecast usage peaks, and suggest actionable optimisations. By combining operational efficiency with sustainability goals, we enable manufacturers to reduce costs and carbon footprint simultaneously, creating operations that are both lean and green.

Frequently Asked Questions

What does Fornax do?

We help organisations turn data and AI into measurable business outcomes. Our work spans strategy, data foundations, analytics, and AI/ML solutions - all designed to improve growth, efficiency, and resilience.

How is Fornax different from other consulting firms?

We anchor every engagement in business outcomes, not technology hype. Our approach blends strategy, engineering, and adoption so that solutions scale, endure, and deliver real impact on the P&L.

Which industries do you serve?

We work across retail, manufacturing, e-commerce, consumer packaged goods, and logistics. Our solutions are adaptable, enabling transformation in diverse industries and functions.

Where are you based, and do you work globally?

Fornax HQ is headquartered in Mumbai, India with delivery capabilities across regions. We support clients worldwide, helping them adapt to shifting markets and accelerate transformation.

Whatโ€™s it like to work with Fornax?

Collaborative and outcome-focused. We embed closely with client teams, prioritise clarity, and measure success by decisions improved, not just deliverables handed over.

Get Started Today

We'd love to hear from you

Name

Last name

Email

Phone number

Job Title

Organization name

Message

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Data strategies, analytics tips, best practices

SUSBCRIBE

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.