On-Device Edge AI for Real-Time, Low-Latency Intelligence

Power intelligent devices with on-device inference, offline AI capabilities, smart sensors, real-time video analysis, and ultra-fast decision-making — without cloud dependency.

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Edge AI Engagement Models

Choose how you engage with Mobiloitte

Full-stack edge programs (device ➜ gateway ➜ cloud ➜ AI).

Model optimization & compression for Jetson, Coral, Qualcomm, ARM.

Edge AI integration inside mobile apps, sensors, drones, and robotics.

Hybrid Cloud ↔ Edge orchestration, OTA pipelines, and observability.

Managed EdgeOps with 24/7 monitoring, SLAs, and governance.

Why Mobiloitte

Full-stack Edge AI + IoT expertise

18+ years of device, IoT, and embedded engineering delivery.

Domain depth across smart cities, security, manufacturing, energy, mobility.

AI + IoT + Blockchain teams operating under one roof for faster cycles.

Certified experience with on-premise, hybrid, and sovereign deployments.

Distributed delivery centers (India, UAE, USA) for global coverage.

Edge AI Reference Architecture

Every layer you need to deliver blazing-fast intelligence directly on devices.

Edge Devices / Hardware

Cameras, sensors, robots, wearables, drones, gateways powering frontline experiences.

On-Device Compute (Edge Runtime)

TensorRT / ONNX Runtime / CoreML / TFLite / OpenVINO with INT8/FP16 quantized models and GPU/TPU/NPU accelerators.

Edge AI Intelligence Layer

Object detection, audio events, predictive models, face & gesture recognition, natural language agents, decision engines.

Local Automation Layer

Rules engines that trigger actions, alerts, and autonomous workflows in real time.

Cloud Sync (Optional)

Logs, metadata, aggregated insights, and remote updates flow to the cloud only when required.

AI + Blockchain Edge Layer

Secure, auditable, and autonomous edge intelligence

Fuse blockchain guardrails with edge inference to secure device identity, capture tamper-proof logs, orchestrate smart contracts, and coordinate federated learning—even when connectivity drops.

What this layer guarantees

Tamper-proof device identity and policy enforcement.
Immutable inference trails for compliance and audits.
Smart contracts that trigger maintenance, access, or incentives.

Decentralized Edge AI Networks

Create distributed meshes of devices that collaborate on intelligence without central cloud dependency.

Blockchain-Protected AI Logs

Guarantee integrity, non-tampering, compliance, and trust for edge inference trails.

Smart Contract–Triggered IoT Events

Auto-release maintenance orders, verify device identity, or open secure access points with programmable logic.

Device Identity on Blockchain (DID)

Prevent spoofing and unauthorized takeovers with tamper-proof device credentials.

Federated Learning on Blockchain

Train models privately across distributed devices while keeping contributions auditable.

Why Edge AI now?

Edge AI multiplies the value of every connected device

Enterprises need instant intelligence at the source of events—factory floors, streets, towers, vehicles, and clinics. Edge AI removes latency, protects sensitive data, and keeps operations resilient even when the cloud is unavailable.

Mobiloitte Edge AI programs help you:

Deliver millisecond decisions for safety-critical, robotic, or autonomous workloads.

Process high-volume video, audio, and sensor feeds locally to cut bandwidth by up to 90%.

Operate reliably in remote, offshore, or defense zones with limited or zero connectivity.

Keep biometric, health, and industrial data on-device to comply with GDPR/DPDP/PDPL.

Extend battery life with quantized, hardware-aware models that fit constrained chipsets.

Trigger instant remediation—doors locking, drones rerouting, assets pausing—without cloud round-trips.

Intelligent Edge AI Capabilities

Deliver on-device intelligence for cameras, robots, wearables, medical IoT, smart retail, and industrial sensors. Mobiloitte compresses, optimizes, and orchestrates Edge AI models so you get instant decisions without compromising privacy or cost.

On-Device AI Inference

Run compressed INT8/FP16 models locally on cameras, sensors, drones, gateways, wearables, mobile devices, and microcontrollers.

Real-Time Computer Vision

Process video frames on-device for people/object detection, face recognition, license plates, PPE, and traffic/crowd analytics.

Offline Edge AI

Deliver AI in no-internet or restricted zones such as defense, healthcare, and remote operations with zero cloud dependency.

Predictive Maintenance on Edge

Analyze sensor signals from machines, EV chargers, production lines, and industrial robots in real time to prevent failures.

Embedded Hardware Compatibility

Optimized runtimes for Nvidia Jetson, Coral TPU, ARM Cortex, Raspberry Pi, ESP32, TI processors, and Qualcomm AI SoCs.

Drones & Robotics Edge AI

Enable obstacle detection, route optimization, real-time mapping, and autonomous navigation directly on vehicles.

Smart Retail & Building Edge AI

Deploy smart shelves, footfall analytics, in-store heatmaps, entrance intelligence, and elevator/corridor insights at the edge.

Ultra Secure Edge AI

Keep data on-device for GDPR/DPDP/PDPL compliance with sealed inference pipelines and tamper-proof execution.

Ready to Scale Edge AI Fleetwide?

Discover how edge-optimized models, OTA pipelines, and observability keep intelligence resilient—even when connectivity is constrained.

Start Your Project

Technology Comparison

Edge-Native AI vs Cloud-Dependent Workloads

Understand why autonomous, self-healing edge intelligence outperforms fragile pipelines that rely on backhauled data and manual rule tuning.

Edge-Native AI Stack

Optimized runtimes push models closer to events, enforce guardrails locally, and sync summaries to the cloud for fleet-wide learning.

Sub-100ms inference for safety, vision, and predictive actions
Bandwidth-aware streaming with local filtering and compression
Policy-driven OTA updates, canary deployments, and rollbacks
Built-in drift monitoring and auto-retraining triggers
Offline autonomy with secure sync once connectivity returns

Cloud-Dependent Automation

Centralized rules depend on stable networks, generate alert fatigue, and require engineers to manually redeploy every change.

Latency spikes whenever connectivity drops or spikes
Static thresholds that ignore context and sensor quality
Manual DevOps cycles for model updates
Limited visibility into device health and inference quality
Higher bandwidth and storage costs for raw telemetry

Choose the Right Automation Approach

Let our experts help you determine the optimal automation strategy for your specific use case.

Get Expert Consultation

Platform Integrations

AI Powered Platform Integrations

Seamlessly connect with 100+ tools and platforms your team already uses for unified collaboration and enhanced productivity.

Nvidia Jetson Family

Nano, TX2, Xavier accelerators with TensorRT pipelines

Intel Movidius & OpenVINO

Low-power VPU inference for cameras and sensors

Google Coral & Qualcomm AI SoC

Edge TPUs and Snapdragon-based devices for mobile robotics

Raspberry Pi / ESP32 / ESP8266

Maker and industrial microcontrollers with optimized runtimes

TensorFlow Lite & PyTorch Mobile

Quantized model deployment across Android, Linux, and RTOS environments

ONNX Runtime / CoreML / OpenVINO

Cross-platform inference layers ensure portability and speed

AWS IoT & Azure IoT

Hybrid cloud-edge orchestration with secure device twin sync

ThingsBoard & Google IoT Core

Device management, telemetry ingestion, and remote updates

Need a Custom Integration?

Don't see your platform? We can build custom integrations for any tool or system your team uses.

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Ultra-Secure Edge AI

Keep data on-device, align with global privacy mandates, and enforce zero-trust governance across every edge endpoint.

On-Device Data Privacy

Inference happens locally, ensuring GDPR/DPDP/PDPL compliance with no cloud transfer.

Hardware Root of Trust

Secure boot, TPM/TEE attestation, and rotating certificates prevent spoofing.

Encrypted Edge Fabric

TLS 1.3, payload signing, and micro-segmentation safeguard telemetry and commands.

Policy Guardrails

Role-based access, approval workflows, and change windows protect automation actions.

Compliance & Audit Kits

Generate evidence for ISO 27001, FDA, FAA, and industry-specific certification in one click.

Resilience & Incident Simulation

Run cyber, safety, and failover drills using digital playbooks for every edge device.

Ready to Secure Your OT & IoT Estate?

Let's design zero-trust guardrails that shield plants, grids, campuses, and mobility assets without slowing innovation.

Get Security Assessment

ROI Metrics

Edge AI Value Propositions

Reference outcomes from Mobiloitte Edge AI deployments.

×10

10× Faster Inferencing

Instant, on-device decisions versus round-trips to the cloud.

-90%

90% Lower Bandwidth Cost

Send only insights instead of raw video or sensor firehoses.

50-70%

50–70% Privacy Improvement

Data never leaves the device, meeting stringent compliance requirements.

Edge

Decentralized Decision-Making

Real-time alerts, offline reliability, and massively scalable intelligence.

Transformation Stories

Edge AI in Action

From retail and telecom to logistics and energy, organizations are modernizing frontline intelligence with Mobiloitte Edge AI.

Fortune 500 QSR Brand

Enterprise Client

Global QSR chain deployed 1,200 edge cameras for queue detection, food safety, and drive-thru optimization—improving service times and compliance.

41% faster service98% HACCP adherence

Tier-1 Telecom Carrier

Enterprise Client

Telecom operator embedded AI into MEC nodes to predict tower failures, saving truck rolls and keeping SLA uptime above 99.98%.

37% truck-roll reduction99.98% network uptime

Ready to Create Your Success Story?

Join our growing list of successful enterprises who have transformed their physical operations with Mobiloitte’s AIoT platform.

Start Your Journey

Edge AI FAQs

Key answers for teams deploying Edge AI with Mobiloitte.

What is Edge AI?

AI models running directly on devices, without relying on continuous cloud connectivity.

Which industries need Edge AI?

Manufacturing, logistics, retail, energy, security, healthcare, and smart cities depend on instant decisions.

Can Edge AI do video analytics?

Absolutely—object detection, face recognition, people counting, PPE, and more run on-device.

Do you provide custom hardware?

We integrate with your hardware and provide specifications and recommendations when needed.

Is blockchain required?

Optional, yet powerful for immutable logs, device identity, smart contracts, and federated learning trust.

Does Edge AI work offline?

Yes. Our edge runtimes continue operating even in low or zero connectivity environments.

Which hardware do you support?

Jetson, Coral, ARM, Qualcomm, Raspberry Pi, ESP32, TI processors, and more.

How does Edge AI improve privacy?

Data never leaves the device, so sensitive video and sensor feeds stay on-premise.

Can Edge AI integrate with our cloud?

Yes. Hybrid architectures sync logs, updates, and aggregated insights whenever required.

How long does deployment take?

Typically 4–8 weeks depending on hardware readiness, data availability, and model complexity.

Deploy AI Where It Matters Most — At the Edge

Mobiloitte helps you launch edge AI solutions for devices, sensors, drones, robots, and smart infrastructure.

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Expert support