Edge AI

Bring intelligence to where decisions happen

Talk to an Edge AI expert

Cloud AI was designed for digital businesses that could afford to wait, but factories, airports, vehicles, and critical infrastructure cannot. In the physical world, decisions happen at the machine, the sensor, and the gate, and even minimal delay carries real business risk.

Nagarro deploys AI systems directly onto the edge which connects machines, infrastructure and other sources of data, enabling AI models to run on device, respond in milliseconds, and remain operational regardless of network availability.

It delivers faster response, lower dependence on centralized cloud infrastructure, and more reliable performance in environments where failure is not an option.

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Most Edge AI initiatives are built as one-off projects, where teams piece together open-source tools, third-party models, and custom code for every new use case. The result is deployment that takes longer than it should, and architecture that does not scale.

Nagarro takes a platform approach, giving enterprises a repeatable foundation for designing, deploying, and scaling edge AI systems across operations without rebuilding from scratch each time. Powered by our Fluidic Intelligence framework, it ensures intelligence reaches the people and systems that need it, in real time, when a decision must be made.

10–100ms

response time

(5 times faster than cloud)

~20%

reduction in machine downtime with predictive maintenance

~10%

fewer defect leakage with edge deployed vision systems

Introducing PULSE

Platform for Unified Learning, Sensing & Edge

PULSE is Nagarro's proprietary Edge AI accelerator. It's a production-ready accelerator platform that collapses the distance between "proof of concept" and "deployed at scale."

The result? Edge AI deployment timelines shortened from months to weeks, with stronger reliability.

Real-time inference at the edge

Models run on a device with sub-100ms response times, with no cloud dependency in the critical path.

Plug & play AI modules

Pre-optimized, hardware-agnostic modules that deploy across NVIDIA, NXP, Qualcomm, and other chipsets without rebuilding from scratch each time.

Domain-agnostic, use-case ready

The same platform underpins compliance monitoring, fall detection, factory automation, and offline AI agents to name a few applications.

Secure, scalable & observable

End-to-end inference pipelines, and full observability across hundreds of devices from a single point of view.

Our ready to deploy solutions

Built on PULSE, these are production‑ready solution accelerators that can be configured and deployed quickly in your environment.

1. ComplAI 2. Nomi 3. FactoryPulse 4. Fall Guard

ComplAI

An AI powered, edge first compliance monitoring solution that continuously enforces operational and safety SOPs in real time. It detects violations across shopfloors, kitchens, and restricted areas, covering SOP adherence, PPE compliance, and access control without adding overhead or headcount - all before they escalate into incidents, fines, or reputational risk.

Since intelligence runs at the edge, sensitive visual and operational data never leaves the premises, making it ideal for regulated and high throughput environments.

SOP adherence monitoring on shopfloors, kitchens and similar physical environments

PPE and hygiene compliance (gloves, helmets, hairnets, uniforms)

Restricted area access violations

Audit ready compliance reporting without manual checks

Nomi

An agentic AI assistant that delivers instant guidance, contextual answers, and task support without or with limited cloud connectivity. It operates across airports, field operations, and air-gapped environments, supporting wayfinding, on-device operational guidance, and real-time query resolution using local data and documents.

Designed for environments where latency, connectivity, or data movement is a constraint, Nomi brings intelligence directly to frontline operations without interruption, improving service delivery and user experience.

Wayfinding and assistance in airports, stations, and large venues

On device operational guidance for field staff and technicians

Instant query resolution in restricted or air gapped environments

Context aware assistance using local data and documents

FactoryPulse

A plug and play IoT and Edge AI platform built for small and mid-sized manufacturers who need enterprise grade capabilities without the complexity or cost that comes with them. It unifies machine and sensor data at the edge to deliver actionable shop floor intelligence across visibility, predictive maintenance, defect detection, and energy monitoring usecases, even in low connectivity environments.

The result is reduced unplanned downtime, improved OEE, and faster decisions made at the point of operation.

Shop floor visibility across machines, lines, and shifts

Predictive maintenance using real time machine health data

Defect detection and quality monitoring at the line

Energy and asset performance monitoring

Fall Guard

A privacy first incident and fall detection solution built on LiDAR sensing rather than cameras. It detects falls, collisions, and abnormal motion patterns in real time across factories, transit hubs, and assisted living environments, triggering instant alerts where faster emergency response directly affects the outcome.

With no video footage, no facial data, and no personal identifiers, it helps improve safety outcomes while reducing surveillance and compliance concerns.

Worker fall detection in factories and warehouses

Passenger safety monitoring in transit hubs

Elderly fall detection in public and assisted environments

Incident detection in high footfall, privacy sensitive areas

Built for industries where decisions happen in the physical world

Manufacturing and Industrial

Automotive and Mobility

Airports and Large Venues

Retail, QSR, and Hospitality

Healthcare and Public Infrastructure

Smart cities

Our comprehensive services across Edge AI, Edge computing and IoT

Edge AI and Intelligent Systems

• Real-time AI inferencing and decision-making at the edge
• Computer vision, video analytics, and sensor intelligence
• Autonomous and low-latency edge processing solutions

Edge Computing and IoT Platforms

• Edge-to-cloud platform engineering and orchestration
• Device connectivity, telemetry, and fleet management
• Industrial IoT and connected ecosystem enablement

Embedded and Product Engineering

• Embedded, firmware, and application development
• Mobile, web, and enterprise platform engineering
• Product modernization and connected product enablement

AI, Data and Cloud Engineering

• Cloud-native architecture and data platforms
• AI/ML, Generative AI, and MLOps implementation
• Advanced analytics and intelligent dashboards

Industry and Mobility Solutions

• Connected vehicle and EV ecosystem solutions
• Smart manufacturing and Industry 4.0 platforms
• Asset tracking, geospatial, and operational intelligence

Performance and security

• DevOps, platform operations, and managed support
• IoT/OT cybersecurity and compliance solutions
• Monitoring, observability, and secure operations

Our hardware and GIS partners

Ready to move intelligence to the edge?

Your competitors aren’t waiting for a better moment. The enterprises pulling ahead are deploying edge AI now and benefiting from faster decision speed with reduced operational costs.