Operational Challenges

Manufacturing needs smarter, more efficient production

Modern industrial facilities face recurring friction points across equipment, data visibility, and workflow execution.

High production costs

High production costs — repetitive manual work, routine monitoring and inefficient processes raise costs and consume employee time.

Unexpected machine downtime

Unexpected machine downtime — failures and delayed maintenance interrupt schedules, often discovered only after production is affected.

Limited production visibility

Limited production visibility — separate systems for machines, records, inventory and quality leave no single view of performance.

Inconsistent product quality

Inconsistent product quality — manual inspection can miss defects at volume, leading to waste, rework and complaints.

Complex automation systems

Complex automation systems — traditional projects need big investment and specialist engineering, out of reach for many SMEs.

Inefficient decision-making

Inefficient decision-making — large amounts of operational data, but no tools to turn it into actions on schedules and equipment use.

Our Approach

Intelligent automation for modern manufacturing

A modular software layer designed to connect operational assets, simplify workflow execution, and extract actionable insights.

Centralised production monitoring

Centralised production monitoring — one dashboard for machine status, output, downtime events and performance indicators.

Intelligent workflow automation

Intelligent workflow automation — configurable workflows for repetitive tasks, notifications, stage coordination and approved machine operations.

AI-powered analytics

AI-powered analytics — analysis of production data to spot unusual patterns, recurring interruptions and bottlenecks.

Industrial equipment integration

Industrial equipment integration — aim to integrate compatible machines, PLCs, sensors, cameras and robotic systems via supported interfaces.

Scalable automation

Scalable automation — start with one machine, line or monitoring use case, then expand to more equipment and facilities.

Data-driven decision-making

Data-driven decision-making — reports, notifications and recommendations that help managers prioritise improvements.

Modular Architecture

A complete platform for industrial automation

Six specialized modules built to serve plant operators, quality leads, and operations management.

Module 01

RoboFlow Control

Workflow Automation

RoboFlow Control — workflow automation: configure and manage repetitive production workflows, task coordination, notifications and selected automation.

Module 02

RoboFlow Monitor

Real-Time Monitoring

RoboFlow Monitor — real-time monitoring: machine status, production counts, cycle times, downtime events and operational metrics.

Module 03

RoboFlow AI

Intelligent Analytics

RoboFlow AI — intelligent analytics: machine learning and statistics to find patterns, detect unusual conditions and highlight bottlenecks. Predictive insights only where data and models allow.

Module 04

RoboFlow Vision

AI Quality Inspection

RoboFlow Vision — AI quality inspection: computer vision with compatible cameras to flag suspected defects, missing components and assembly problems for inspection.

Module 05

RoboFlow Integration Services

Deployment & Support

RoboFlow Integration Services — equipment integration, configuration, implementation support, training and ongoing maintenance.

Module 06

RoboFlow Analytics Dashboard

Operational Intelligence

RoboFlow Analytics Dashboard — summarised performance, availability, downtime trends and workflow efficiency for supervisors.

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Plant Control Room (Illustrative)

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Monitoring Screens (Illustrative)

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Automated Factory Line (Illustrative)

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Welders & Fabrication (Illustrative)

Placeholder Illustrative industrial laser cutting machinery - placeholder imagery

Laser Cutting Machinery (Illustrative)

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Industrial Engineer (Illustrative)

Illustrative imagery — real product screenshots to be added.

Note: All modules are proposed capabilities, to be developed and validated according to customer demand, technical feasibility and available resources.

Implementation Flow

How It Works

A step-by-step approach to connecting equipment, establishing visibility, and safely introducing automation.

01

Connect equipment

Connect equipment — compatible machines, sensors, controllers, cameras and robotic systems, as their communication capabilities allow.

02

Collect production data

Collect production data — machine status, counts, cycle times, downtime events and selected sensor readings, organised in one interface.

03

Process and analyse data

Process and analyse data — predefined rules, statistics and suitable AI models to find trends, recurring problems and bottlenecks.

04

Alerts and recommendations

Alerts and recommendations — notify authorised personnel with information to investigate and correct, based on available, validated data.

05

Automate approved workflows

Automate approved workflows — coordinate predefined workflows and approved actions. Machine control only with safety safeguards, testing and authorisation.

06

Monitor and improve

Monitor and improve — review reports over time to judge whether changes improved productivity, downtime or quality.

Field Example

Example: a line with repeated interruptions — RoboFlow records downtime patterns, alerts maintenance, and lets the team compare performance before and after the fix.

Engineering Foundation

Built on modern software, industrial connectivity, and AI

Reliable engineering stacks designed for edge-to-cloud telemetry, real-time analytics, and secure plant operations.

Frontend

React.js, Next.js, TypeScript

Backend

Python, FastAPI, Node.js

AI / ML

PyTorch, scikit-learn

Computer Vision

OpenCV

Connectivity

OPC UA, MQTT, supported PLC interfaces

Robotics

ROS 2, where appropriate

Database

PostgreSQL, TimescaleDB

Cloud

AWS, Microsoft Azure or equivalent

Edge Computing

Industrial computers / edge devices

Security

Role-based permissions, encrypted communications, audit logging

Potential NVIDIA integration only: NVIDIA Jetson for supported edge AI, NVIDIA Isaac for selected robotics development, accelerated computing for demanding AI workloads. This is not a claim of an existing partnership or completed implementation.

Target Industries

Who It's For

Engineered for manufacturing sectors seeking flexible, pragmatic steps toward industrial automation and digital factory monitoring.

Automotive component makers

Engineering & fabrication

Packaging manufacturers

Plastic manufacturers

Small & medium enterprises

Large industrial enterprises

Regional Rollout: Starting in Pardi, Vapi, Valsad, Vadodara and nearby Gujarat manufacturing clusters, then other Indian regions, and international markets only after validation.

Tiered Packaging

Pricing & Service Tiers

Tiered functional scopes tailored to facility size and automation maturity. Hardware and integrations are custom-scoped.

Starter

Smaller Manufacturers

Basic production monitoring
Selected dashboards
Machine-status visibility
Standard reporting

Professional

Growing Facilities

Expanded reporting
Configurable alerts
Additional workflow features
Broader operational monitoring

Enterprise

Larger Customers

Customised integrations
Advanced analytics
Multiple production lines
Agreed technical support

Implementation & integration, annual maintenance & support, hardware & components, and enterprise customisation are scoped separately. [TO CONFIRM: final prices — fill in only once confirmed, do not use the pitch deck's proposed figures as live prices.]

Customer Validation

Built with manufacturers, not just for them

Gyration RoboFlow is in product planning and customer validation. We are speaking with manufacturers about production challenges, building a working monitoring dashboard, and recruiting pilot factories — each focused on one measurable problem.

[TO ADD: pilot customer names and measured results, only after written permission.]

People & Execution

A technology-focused team building practical industrial automation

Technical leadership focused on hands-on software development, machine integration, and practical factory deployments.

PM

Pravin Mali

Developer / Technical Contact

[email protected]

Proposed responsibilities: application development, dashboard implementation, software integrations, technical coordination, and support for product development.

Planned roles to be recruited:

Industrial Automation Engineer
AI/ML Engineer
Robotics Integration Specialist
B2B Sales & Partnerships Lead
Implementation & Support Engineer

Get in Touch

Contact & Inquiries

Speak directly with our technical team about pilot opportunities, machine compatibility, or scheduling a demo.

Send an Inquiry

Gyration Technology Private Limited

Product: Gyration RoboFlow

Technical Contact

Pravin Mali, Developer / Technical Contact

Email

[email protected]

Phone

+91 9737586492

Website

gyrationshift.com

Registered Address

Survey No. 2186, Plot No. 08, Damanganga Industrial Park, Pardi, Gujarat 396191, India

Corporate Identification Number (CIN)

U28199GJ2023PTC142998

Company details as provided.