AirTrik gives hardware OEMs everything they need to build autonomous, AI-powered smart devices — edge-AI silicon, agentic cloud infrastructure, and white-label apps. No in-house AI team required.
AI Agent Market by 2028
Global Smart Home Market
Edge Inference Latency
On-Chip AI Performance
Current smart home architectures rely on cloud-centric processing, rigid rules, and fragmented developer experiences. The result: latency, lock-in, and zero intelligence at the edge.
Every command round-trips to a remote server. That 200ms+ delay is incompatible with real-time AI agents that need to act in milliseconds.
Centralized cloud models aggregate sensitive consumer data. Stricter sovereignty laws demand local-first architectures that legacy platforms can't deliver.
Restrictive licensing, expiring auth keys, and deprecated local APIs create subscription fatigue and technical debt for hardware manufacturers.
From optimized silicon to conversational UIs — every layer is engineered for autonomous, goal-directed intelligence.
Pre-optimized NPU-equipped microcontrollers running TinyML models for anomaly detection, voice recognition, and predictive maintenance — entirely offline. No cloud required.
STM32N6 · Nordic nRF54L · TI MSPM0The industry's first implementation of Model Context Protocol over MQTT. AI agents discover, understand, and command physical devices through a universal, standardized schema.
Auto-Discovery · Async ExecutionMulti-agent orchestration with LLM/SLM pipelines, RAG-powered memory, and edge-cloud collaboration. Time-sensitive tasks run locally; complex reasoning offloads seamlessly.
LangGraph · Vector DB · DAG EngineOEMs generate branded iOS and Android apps with conversational AI interfaces, glass-box transparency, and multimodal controls — no software engineering team needed.
Low-Code · Your Brand · App Store Ready
Smart Hub
Agentic Cloud
Edge → Cloud
White-Label App
AirTrik integrates every layer of the IoT stack so your devices ship with built-in intelligence.
Edge NPUs continuously collect multimodal sensor data — voltage, temperature, motion, audio — building real-time environmental context.
Local SLMs or cloud LLMs analyze telemetry, identify patterns, and formulate multi-step action strategies with iterative self-correction.
AI agents execute physical actions — adjusting HVAC, modulating lighting, isolating circuits — via standardized MCP tool calls over MQTT.
Persistent memory stores behavioral embeddings. The agent learns household patterns over weeks and months, transitioning from reactive to proactive.
From $0.50 smart bulb MCUs to multi-TOPS orchestration hubs — pick the silicon tier that matches your product.
For smart bulbs, plugs, switches, and basic sensors. Ultra-low power, ultra-low cost, with built-in TinyML capabilities.
For smart home hubs, energy gateways, and advanced appliances. Run Small Language Models entirely on-device.
Agentic AI controls physical actuators. That demands security architectures that go far beyond traditional IoT perimeter defense.
Immutable instruction hierarchies and boundary scoping prevent malicious prompts from overriding safety limits.
Hardware-backed X.509 certificates ensure only authorized AI agents can trigger physical actuators.
High-risk actions — disabling security, firmware updates — require explicit user approval before execution.
Everything a hardware manufacturer needs to ship AI-powered products — without building an AI team.
Pre-certified AI silicon modules with built-in connectivity. Solder, flash firmware, and ship. Replaces months of R&D.
Define brand colors, logo, AI tone of voice, and KPIs through a no-code portal. Deploy to iOS and Android app stores.
Real-time fleet monitoring, energy usage insights, predictive maintenance alerts, and device health across your entire product line.
Edge voltage monitoring handles ±25% grid fluctuations. Predictive surge protection saves ₹38B in annual appliance damage.
Hardware produced in Noida/Ghaziabad EMC clusters. PLI incentives, SPECS subsidies, and rapid EMS partner scaling.
MCP-native devices integrate with Home Assistant, enterprise orchestrators, and any AI platform — no vendor lock-in.
Integrate AirTrik's IoT cloud into your stack with official libraries for Node.js, Python, C/C++, Java, React, and Arduino.
npm i airtrik
pip install airtrik
npm i airtrik-react
airtrik-arduino
See how AirTrik's full-stack platform can accelerate your next smart hardware product — from edge silicon to app store.