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AI platform for startups and Fortune500 Companies
Set of AI Hardware and Cloud platform tools built atop Linux, RTOS and Non-OS systems for building distributed and platform-agnostic IoT systems.
Customizable Hardware and Software Platform components
Set of AI Hardware and Software tools to accelerate building your Connected Intelligence Platform.
Set of Hardware Platform Options
Ready AI Models and Algorithms on Edge H/W
aFlex H/W 2.0 (for audio + AI applications)
aFlex H/W 1.0 (for drones + sensors network)
ROS+Video Compatible Connected Cart
Scalable
Cloud
Options
Ready AI Models running on Cloud
Self-Hosted IoT Cloud - aFlex 3.0
Streaming Server Support ( WebRTC, Conference)
AWS based IoT Cloud option
Extendible Mobile Applications
iOS
Android
Voice Assistant Integration
IoT Management
Portal
Device Management ( Secure, Remote, Easy)
Device
Analytics
Rule based Actions & Alerts
Advantages
Ready to use
IoT Cloud
&
Apps
No-Code & Low-Code
Firmware
with
Edge AI
Scalable for large-scale infrastructure & Deploying Complex Algorithms
Platform Support
AkhilaFlex provides ready-to-use framework components to achieve extensive connectivity and implementation efficiency.
Low-code
Application components and unified distributed architecture lets you focus on application development with API calls caring about the underlying architecture.
Range of Components
A wide range of components covers different IoT layers from the network, middleware, to applications.
Stability
Take advantage of proven framework components deployed in the field for more than 100000 devices with parallel users using it.
Ready to Launch Apps
Your device is ready for sale in three simple steps.
1. Integrate device to Cloud.
2. White label your logo and Device logo to App.
3. Deploy on App Stores.
Cost Effectiveness
Save on hundreds of dollars by adapting ready to use IoT frameworks.
Feature Details
Range of Hardware Options
We offer a range of hardware designed for IoT applications, featuring low-power consumption, audio processing, sensor support, and video processing capabilities.
We have ready solutions for you to help customize the hardware for below features
- Low-Power IoT Devices: Designed for energy-efficient operation in IoT environments.
- Audio Processing: Supports advanced audio data handling for IoT applications.
- Sensor Integration: Built-in support for a variety of sensors to capture environmental data.
- Video Processing: Capable of processing video feeds for real-time analysis.
- AI Capabilities: AI-driven hardware for intelligent decision-making and edge computing.
Connected Cart
- ROS2 Data Exchange: ROS2 running on AI/ML capable Mobile Processor with AkhilaFlex ecosystem
- Advanced Robotics Visualization: Run RVIZ, NAV2, and SLAM for real-time 3D and grid visualization of the environment.
- Dynamic Map Creation & Learning: Automatically create and update maps through real-time learning.
- Real-Time Tracking: Track the robot’s movements in real time for enhanced control.
- Obstacle Detection & Collision Avoidance: Detect and avoid obstacles during runtime for smooth operations.
- Comprehensive Sensor Integration: Data from various sensors including LiDAR, GPS, 9DOF, motors, and wheel encoders for precise control and navigation.
aFlex H/W 2.0
All the Features of aFlex H/W 1.0 +
- Audio: Supports multiple audio inputs for enhanced flexibility.
- Audio AI: Integrated Audio DSP for advanced algorithm processing.
- Multi-core Processor: Leverages a heterogeneous architecture (ARM Cortex-M4 + Cortex-A53) designed for ultra-low power consumption.
- More Wireless Connectivity: Includes Wi-Fi with options to add Matter-enabled wireless protocols such as Thread and Zigbee.
- Enhanced Display: Offers versatile LED/LCD display options in various sizes.
- Crypto: Equipped with a high-performance cryptographic engine for robust security.
aFlex H/W 1.0
- Wireless Connectivity: Bluetooth mesh support for seamless communication.
- Display: 5×5 LED matrix for easy visualization.
- Built-in Sensors: Light, temperature, and acceleration sensors.
- Industry-Standard Interfaces: UART, I2C, SPI, and PWM for flexible device connections.
- Low Power Usage: Designed for energy efficiency.
- Easy Development: Zero setup required with asCode IDE for embedded software development.
- Cloud & Mobile Integration: Effortless integration with cloud and mobile apps.
Ai Algorithms on the Edge
Harness the power of advanced AI technologies including Large Language Models (LLMs), Speech Recognition, and Video Processing Algorithms with READY solutions on EDGE Hardware.
- Audio to Text: Convert spoken words into accurate text
- Audio Transcoding: Seamlessly convert and optimize audio files across multiple voices
- Text to Emotion: Analyze and interpret emotions in text, enabling more intuitive and emotionally aware interactions.
- Video Object Segmentation: Automatically identify and segment objects in video streams, improving analysis, monitoring, and automation.
- Human Activity Monitoring: Track and monitor human activities in real-time, offering applications in security, healthcare, and workplace safety.
Self-Host your own GPT
Run the high processing advanced AI technologies on Cloud with READY algorithms.
- Natural Language to SQL Queries: Transform everyday language into complex SQL database queries, simplifying data access and analytics.
- Self-Hosted GPT: Deploy your customizable, self-hosted GPT, giving you full control over your AI applications and data privacy.
- OpenAI Integration: Tap into the power of OpenAI’s cloud services for scalable and dynamic AI capabilities that evolve with your needs.
- All Algorithms running on Edge (Listed above) also runs on Cloud
Ready Connected Cloud Applications
- Comprehensive Cloud Application Suite: A ready-to-use cloud application suite offering advanced features, including device management, user management, alert monitoring, data analytics, security, and more.
- Seamless Integration: APIs and other interfaces for effortless integration with existing cloud systems, ensuring compatibility and scalability.
- Effortless Device Connectivity: Simplify device connectivity to the cloud for real-time data collection and analysis, while maintaining robust system security and reliability.
Device Analytics
- Device Behavior Analysis: Collect and analyze data on the performance and behavior of devices in distributed deployments to identify trends and optimize operations.
- User Experience Enhancement: Monitor and analyze specific parameters across devices to ensure a consistent and improved user experience.
- Proactive Alert Monitoring: Implement an advanced alert monitoring system to detect and notify warnings or errors in real time, minimizing downtime.
- Efficient Troubleshooting with Logs: Leverage comprehensive device logs for faster diagnostics and effective issue resolution.
Planet Scale Infrastructure
- Plantet Scale Scalability: Built on the same principles powering Fortune500 companies’s ability to manage billions of containers weekly, AkhilaFlex integrates Kubernetes to scale your applications seamlessly—without adding overhead to your operations team.
- Powerful Distributed Deployments: Deploy complex algorithms and computationally intensive applications effortlessly across scalable distributed systems, whether on cloud infrastructure or edge devices.
Ready to Use Mobile Apps
No-code Low-code IDE & Hardware
- Drag-and-Drop Firmware Development: Simplify firmware creation with intuitive drag-and-drop code blocks, eliminating the need for complex coding.
- Zero Setup with asCODE IDE and aFlex Hardware: Start developing instantly with a ready-to-use development environment and compatible hardware.
- Accelerated Validation: Save time by leveraging proven code and a reliable platform, ensuring faster and more efficient development cycles.
Scalable Platform Architecture
The multi-layered AkhilaFlex framework is designed to meet the “No-Code Low-Code” needs of IoT deployments, simplifying development and integration. It ensures reliable, adaptive interconnection between end devices and the cloud while enabling seamless integration with third-party ecosystems. This makes it ideal for building scalable and efficient distributed systems.
Development Steps
Developing with AkhilaFlex 3.0 is as easy as below simple steps.
If You don't have Electronics Ready
1
Select nearest AkhilaFlex H/W for Quick Customization
2
In parallel, Connect Eval Hardware with AkhilaFlex Cloud
3
Customise AkhilaFlex App UI for Product
4
Deploy the App for your Customers
If You have Electronics Ready
1
Connect your Hardware with AkhilaFlex Cloud
2
Customise AkhilaFlex App UI for Product
3
Deploy the App for your Customers
Platform services you can trust, Akhila Labs
GPU
Platforms
CPU
Platforms
Kubernetes & Networking
Camera & Image Processing
Streaming Platforms
Large Data Platforms
Success Stories
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