Edge AI & IoT Platform for Connected Intelligence

Build, deploy, and scale smart connected products 70% faster with a unified hardware, edge AI, and cloud ecosystem.

Trusted By

Trusted by teams building connected products

100,000+

Devices in Production

50-70% Projects

Faster Time to Market

50+ Customer Network

Enterprise & Startup Customers

 

Why AkhilaFlex

From idea to scalable product—without reinventing the stack

AkhilaFlex is a No-Code / Low-Code framework built for enterprise-grade reliability, scalability, and security, with a hardware-agnostic, cloud-agnostic, and vendor-neutral architecture.

Modular Embedded Hardware

Reference designs and production-ready modules built on ARM and heterogeneous architectures. Skip months of hardware validation and focus on your product.

Edge-Optimized AI Frameworks

Run speech, vision, and anomaly detection models directly on devices with <50 ms latency. Pre-optimized for constrained hardware.

Planet-Scale Cloud Infrastructure

Kubernetes-based cloud that scales from 10 devices to millions without re-architecture. Designed for high availability and global deployments.

No-Code / Low-Code Development

Visual firmware builder, drag-and-drop workflows, and ready mobile apps. Let your team move fast without sacrificing technical depth.

Platform Architecture

A multi-layer platform designed for scalable IoT and Edge AI

AkhilaFlex is a No-Code / Low-Code framework built for enterprise-grade reliability, scalability,
and security, featuring a hardware-agnostic, cloud-agnostic, and vendor-neutral architecture.

Applications

iOS & Android apps
Web dashboards & analytics
Voice assistant integrations (Alexa, Google Assistant, Siri)
Third-party system connectors (CRM, ERP, ticketing)

Connectivity

MQTT, HTTP, CoAP
Wi‑Fi, Bluetooth Mesh, Matter, Thread, Zigbee
WebRTC streaming, RTSP, HLS
LoRaWAN, NB-IoT (optional integrations)

Cloud Platform – aFlex 3.0

Device provisioning & lifecycle management
User management & RBAC
Rule-based actions & alerts
OTA firmware updates
Data analytics & reporting

Embedded Runtime

Linux, RTOS, and bare-metal support
Device drivers & HAL
Security & crypto modules
Power management
Offline-first operation

Edge AI

On-device inference engines
Speech recognition & audio AI
Computer vision & segmentation
Human activity recognition & anomaly detection

Hardware

aFlex H/W 1.0 – low-power sensor platform
aFlex H/W 2.0 – edge AI & audio platform
AI Connected Cart – robotics reference platform

Hardware-Agnostic

Deploy on any ARM, RISC-V, or x86 architecture

Cloud-Agnostic

Run on AWS, Azure, GCP, or self-hosted infrastructure

Vendor-Neutral

No proprietary lock-in at any layer

Our Product Engineering Services

End-to-end engineering services that take your product from concept to scalable production-ready deployment.

  • AI Connected Cart

    Robotics · Edge AI · ROS2

    AI Connected Cart

    Autonomous robotics platform powered by ROS2 for building intelligent mobile robots with SLAM, real-time navigation, and multi-sensor fusion.

    • ⚡ ROS2-based stack with RVIZ, NAV2, and SLAM visualization
    • 🗺️ Real-time 3D and grid mapping of dynamic environments
    • 📡 Multi-sensor fusion: LiDAR, GPS, IMU, encoders, cameras
    • 🚧 Obstacle detection & collision avoidance at runtime
    • ☁️ Live telemetry streaming to AkhilaFlex cloud dashboards

    Technical Specs:
    AI-capable mobile processor (ARM Cortex-A) · Ubuntu + ROS2 (Humble/Iron) · Wi-Fi / Ethernet / optional 4G/5G

    Use Cases: Warehouse automation · Delivery robots · Hospital logistics

  • aFLEX H/W 2.0

    Robotics · Edge AI · Audio AI · Multi-core

    aFlex H/W 2.0 – Edge AI & Audio Platform

    High-performance edge AI module optimized for audio processing, speech recognition, and intelligent sensor workloads with ultra‑low power.

    • 🔧 Heterogeneous multi-core architecture (ARM Cortex‑M4 + Cortex‑A53)
    • 🎤 Integrated audio DSP for noise cancellation, echo suppression, VAD
    • 📻 Multiple audio inputs (e.g., 4‑channel PDM/I2S)
    • 📡 Wi‑Fi with optional Matter, Thread, Zigbee
    • 🔒 Hardware cryptographic engine for secure boot & encrypted storage

    Technical Specs:
    Multi-core ARM · Ultra-low power (50mW idle, 300mW peak) · Wi‑Fi + BLE + optional Matter/Thread

    Use Cases: Voice assistants · Acoustic monitoring · Smart audio devices · Hearing aids

  •  aFLEX H/W 1.0

    Low-Power IoT · Bluetooth Mesh · Sensors

    aFlex H/W 1.0 – Low-Power IoT Reference Platform

    Ultra‑low‑power sensor platform deployed in 100,000+ devices, ideal for wearables, smart home sensors, and battery‑powered IoT products.

    • 📡 Bluetooth Mesh connectivity for 100+ node networks
    • 💡 5×5 LED matrix for visual feedback
    • 🌡️ Onboard sensors: light, temperature, accelerometer
    • 🔌 Standard UART, I2C, SPI, PWM interfaces
    • ⚡ Ultra-low power design (8μW sleep, 800μA active)
    • ☁️ Zero‑setup development with asCode IDE

    Technical Specs:
    ARM Cortex-M4F · Bluetooth 5.0 Mesh · Proven in 100K+ deployments

    Use Cases:Wearables · Smart home · Environmental sensing · Drones

  • AI ALGORITHMS ON THE EDGE

    Edge AI · On-Device · Low Latency

    AI Algorithms on the Edge

    Deploy production-ready AI models directly on edge hardware—no cloud dependency, ultra‑low latency, and full data privacy.

    • 🎙️ Speech & audio: Audio-to-text, audio transcoding, text‑to‑emotion
    • 📹 Computer vision: Video object segmentation, tracking, human activity recognition
    • ⚠️ Anomaly detection for time-series and visual inspection
    • 💻 Optimized for aFlex modules and common edge hardware
    • 🔒 All processing stays on-device for privacy and compliance

    Technical Specs:
    <50ms inference latency · 95%+ accuracy · GDPR & HIPAA compliant by design

    Use Cases: Voice control · Security · Predictive maintenance · Healthcare wearables

  • SELF-HOST YOUR OWN GPT

    Private LLM · Data Sovereignty · Hybrid AI

    Self‑Host Your Own GPT

    Run private, customizable LLMs on your cloud or on-prem infrastructure with full control over data, compliance, and performance.

    • 🧠 Deploy your own GPT‑style models (Llama, Mistral, etc.) on Kubernetes
    • 📚 Build domain‑specific assistants using your private knowledge base
    • 🔍 Natural language to SQL: query IoT data in plain English
    • 🔄 Hybrid mode: combine self-hosted models with OpenAI API when needed
    • 🔌 OpenAI-compatible REST API for easy integration

    Technical Specs:
    7B-70B parameter models · Kubernetes deployment · GPU/CPU support

    Use Cases: Enterprise assistants · Support automation · Internal analytics · Compliance-heavy industries

  • Cloud Platform · Device Management · APIs

    Ready Connected Cloud Applications

    A full cloud application suite for device management, monitoring, analytics, and security—ready to launch from day one.

    • 🔐 Secure device onboarding, provisioning, and OTA firmware updates
    • 📊 Fleet management with groups, locations, and bulk actions
    • ⚙️ Rule-based automation for alerts and actions
    • 👥 Multi-tenant user management with RBAC and SSO
    • 🔌 REST APIs, webhooks, and SDKs (Python, JS, Java, Go)

    Technical Specs:
    99.9% uptime SLA · Supports 1M+ concurrent devices · SOC 2 Type II certified

    Use Cases:Production IoT · Multi-tenant SaaS · White-label solutions

  •  DEVICE ANALYTICS

    Analytics · ML Insights · Predictive

    Device Analytics

    Real-time and historical analytics that transform raw device data into actionable insights and predictive intelligence.

    • 📈 Health and performance monitoring for entire fleets
    • 👥 Usage pattern analysis and cohort insights
    • 🤖 ML-based anomaly detection and failure prediction
    • 📊 Pre-built dashboards + custom visualization builder
    • 📥 Export to data warehouses (CSV, JSON, Parquet)

    Technical Specs:
    Sub-second queries on 100M+ data points · 1-year hot storage · Grafana-compatible

    Use Cases: Fleet monitoring · Predictive maintenance · QA · Customer support

  • PLANET SCALE INFRASTRUCTURE

    Kubernetes · Microservices · Global Scale

    Planet Scale Infrastructure

    Cloud infrastructure built on Kubernetes and microservices principles to scale your IoT deployments from prototype to millions of devices.

    • ⚡ Auto-scaling based on real-time load
    • 🔄 Zero-downtime deployments with rollbacks
    • 🌍 Multi-region redundancy and disaster recovery
    • 📊 Observability with tracing, metrics, and logging
    • 🏗️ Infrastructure as code templates for quick deployment

    Technical Specs:
    Kubernetes 1.28+ · 100M MQTT messages/hour · <30min full deployment

    Use Cases: Enterprise IoT · Multi-tenant SaaS · Global deployments

  • READY-TO-USE MOBILE APPS

    iOS · Android · White-Label

    Ready-to-Use Mobile Apps

    Native iOS and Android apps with device control, telemetry visualization, and alerting, ready to white-label and publish.

    • 📱 Native Swift/Kotlin apps for iOS and Android
    • 🔗 Device discovery, pairing, and real-time control
    • 📊 Sensor charts, historical trends, and alert views
    • 👥 Multi-user support with access control
    • 🔔 Built-in push notifications and OTA flows

    Technical Specs:
    iOS 14+ / Android 8.0+ · <15MB app size · Firebase integrated

    Use Cases: IoT products · Smart home · Wearables · Industrial monitoring

  • NO-CODE / LOW-CODE IDE & HARDWARE

    No-Code · Low-Code · Rapid Prototyping

    No-Code / Low-Code IDE & Hardware

    Build production-grade embedded firmware using a visual drag-and-drop IDE, then drop into C/C++ only when needed.

    • 🧩 Drag-and-drop blocks for sensors, connectivity, and cloud actions
    • 📐 Visual logic flows for events and state machines
    • ☁️ Cloud-based IDE—no local toolchain setup required
    • 🔌 Hardware-in-the-loop testing with aFlex boards
    • 💻 Hybrid path: visual flow + full C/C++ when required

    Technical Specs:
    500+ pre-built blocks · Sub-10 second builds · Compatible with STM32, ESP32, nRF52

    Use Cases: Rapid prototyping · Hardware startups · MVP development

ADVANTAGES

The AkhilaFlex Advantage

Hardware Platform Options

Ready AI models on edge hardware
aFlex H/W 2.0 (audio + AI)
aFlex H/W 1.0 (sensors + low power)
AI Connected Cart (ROS2 robotics)

Scalable Cloud Options

Ready AI models on cloud infrastructure
Self-hosted IoT cloud (aFlex 3.0)
Streaming server support (WebRTC, conference)
AWS/Azure/GCP integration

Extendible Applications

IOS & Android mobile apps
Voice assistant integration
IoT management portal
Device analytics dashboards

ADVANTAGES

The AkhilaFlex Advantage


  • Ready-to-use IoT cloud + apps

  • No-code and low-code firmware with edge AI

  • Scales from 10 devices to millions

  • Proven in 100,000+ field devices

  • Hardware- and cloud-agnostic

  • Enterprise-grade security and compliance-ready

  • Self-hosted GPT for data privacy

  • $200K+ engineering cost savings per project

  • 70% faster time-to-market

  • 99.9% uptime SLA

  • Zero vendor lock-in

  • 50ms edge AI inference latency
Success Stories

How Teams are Shipping Faster with AkhilaFlex

Healthcare – Smart Asthma Monitoring

Medical device startup needed FDA-ready wearable with real-time respiratory sound analysis.

Deployed aFlex H/W 2.0 with audio AI for respiratory pattern detection. Self-hosted cloud for HIPAA compliance.

  • ✔︎ 70% faster time to market (8 vs. 24 months)
  • ✔︎ <50ms latency for real-time alerts
  • ✔︎ FDA 510(k) clearance in 14 months
  • ✔︎ $300K saved in engineering costs

Industrial – Warehouse Robotics

Logistics company building autonomous mobile robots for warehouse material transport.

Deployed AI Connected Cart with custom payload integration. ROS2 middleware for fleet orchestration.

  • ✔︎ 40% increase in warehouse throughput
  • ✔︎ <5cm positioning accuracy
  • ✔︎ 99.8% uptime across 200-robot fleet
  • ✔︎ 15 facilities in 8 months

Automotive – Battery Management System

EV battery manufacturer needed intelligent BMS with predictive maintenance for 10,000+ vehicle fleet.

Integrated existing BMS hardware with AkhilaFlex Cloud APIs. Deployed anomaly detection ML models.

  • ✔︎ 30% reduction in warranty claims
  • ✔︎ 15-day advance battery failure prediction
  • ✔︎ 6-week integration timeline
  • ✔︎ $300K saved in engineering costs

Smart Home – Wireless Door & Window Sensors

Smart home company building Matter-compatible sensor network with 5-year battery life.

Used aFlex H/W 2.0 with Matter/Thread protocol. Ultra-low power design with Bluetooth mesh fallback.

  • ✔︎ 7-year battery life (exceeded target)
  • ✔︎ Matter certification in 3 months
  • ✔︎ 50K+ units deployed across 5,000 homes
  • ✔︎ <5 minute retrofit installation

Wearables – Smart Ring for Health Tracking

Consumer wearable company building multi-sensor smart ring (heart rate, SpO2, temp, sleep).

Used aFlex H/W 1.0 as reference design. Leveraged no-code IDE for rapid iteration. White-label mobile apps.

  • ✔︎ Prototype to production in 10 months
  • ✔︎ 500K+ rings shipped in first year
  • ✔︎ 4.7★ app store rating
  • ✔︎ Sub-$100 BOM cost achieved

Healthcare – Smart Asthma Monitoring

Medical device startup needed FDA-ready wearable with real-time respiratory sound analysis.

Deployed aFlex H/W 2.0 with audio AI for respiratory pattern detection. Self-hosted cloud for HIPAA compliance.

  • ✔︎ 70% faster time to market (8 vs. 24 months)
  • ✔︎ <50ms latency for real-time alerts
  • ✔︎ FDA 510(k) clearance in 14 months
  • ✔︎ $300K saved in engineering costs

Yes. AkhilaFlex Cloud and mobile apps integrate with any hardware via standard protocols (MQTT, HTTP, CoAP). We provide SDKs in Python, C, JavaScript, and REST APIs for seamless integration.

Security is built into every layer. We use hardware root of trust, encrypted storage (AES-256), secure communication (TLS 1.3), and offer self-hosted deployment for complete data sovereignty. We're SOC 2 Type II certified and HIPAA/GDPR compliant.

Customers typically go from prototype to production in 6-12 weeks (vs. 6-12 months traditional approach). Timelines depend on hardware complexity, custom features, and regulatory requirements.

Yes. Our engineering team provides custom hardware design, PCB layout, antenna design, and certification support (FCC, CE, IC) as professional services.

 We offer tiered subscription pricing based on number of devices, plus one-time hardware costs. Starter plan starts at $99/month for up to 100 devices. Enterprise customers receive custom pricing. Contact sales for details.

Yes. AkhilaFlex Cloud (aFlex 3.0) can be self-hosted on your Kubernetes cluster (AWS, Azure, GCP, or on-premise). This is included in Enterprise plans.

All plans include technical support via email/chat. Enterprise plans include 24/7 phone support, dedicated Slack channel, and assigned customer success manager. We also offer professional services for custom development.

Yes. We offer a 14-day free trial of the Starter plan with full access to cloud platform, mobile apps, and asCode IDE. No credit card required.

AkhilaFlex provides a complete product platform including hardware, mobile apps, and no-code firmware development—not just cloud connectivity. We integrate with AWS/Azure if you prefer hybrid architecture, but we offer a faster, more complete solution out-of-the-box.

Contact us

Partner with Us for
Comprehensive IT

We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.

Call us at: +1(408) 641-3456

Your benefits:

  • Client-Oriented – Your needs first.
  • Experienced Team – Skilled professionals
  • Problem Solvers – Effective solutions
  • Flexible – Tailored for your business
  • Results-Driven – Focused on results
  • Transparent – Clear communication

What happens next?

1

We arrange a call that suits your schedule.

2

We understand your goals and challenges

3

We provide the best solution for your needs.

Schedule a Free Consultation

Partners

Recognized by the best

The company needed to complete a complex migration on a tight deadline to avoid millions of dollars in post-contract fees and fines.

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