Overview
Massive amounts of data combined with the cost and latency of cloud computing demand a robust edge computing solution. Performing complex data analytics and running sophisticated machine learning models on high-volume, high-velocity streaming sensor data within a limited memory footprint requires expertise in both embedded systems and AI/ML models. From building extremely low-footprint, low-power models on constrained endpoints to bringing full-fledged, high-accuracy algorithms to edge devices, we deliver the right solutions for our customers' applications.
Benefits
- Algorithm development
- Architecture definition
- Digital Signal Processing design review
- Co-processing, device, and system partitioning
- FPGA implementation
- MATLAB and Simulink simulation
- Verification and debugging
- Optimization for cost, performance, and efficiency
AI ML @ Cloud
Cloud infrastructure combined with AI & machine learning provides extensibility, resilience, and flexible procurement — making it an ideal choice for building AI/ML pipelines that benefit end-to-end systems. This approach is far better than sifting through many manual algorithms; it paves the way for digital innovation, enables teams to put a data-centric vision into practice, and helps organizations achieve their goals at a faster pace.
With years of expertise providing state-of-the-art AI & ML solutions, we understand our customers' requirements and constraints and build the right solutions for them. From traditional machine learning to efficient deep learning networks, we use the right model architectures, frameworks, and tools to build reliable and scalable solutions for your applications, whether on cloud or edge devices.
AI Flow
AI potential assessment
Understanding business needs, data and constraints
Product Definition
Defining product functionality and integrating data
Go Live
Building and deploying a customized AI product
Feedback and improvement
Monitoring and improving with live data
Our Gamut of Offerings
Use case discovery
We help identify opportunities where data can be harnessed through AI and convert them into a valuable product portfolio.
Hosting and Maintenance support
We help users host their models/applications on cloud/on-premise servers and provide all required maintenance support.
Solution engineering
We enable Cloud/Edge integration of AI and enterprise stack. Embedded AI for localized AI Solutions.
Bespoke Applications
We create AI-enabled use cases in numerous verticals, contextualized to customer needs with custom models.
Feasibility Study
We provide cost-effective feasibility study and support for POCs to test viability of ML models.
Solution Accelerators
Reusable AI stack, pre-trained models, trainable blocks, and advanced API interfaces to accelerate deployment.
AI competency power packs
We help build internal AI talent pools that sustain and scale intelligent systems.
Why Us
End-to-End AI & Agentic Development
From perception models to autonomous agents, we deliver complete AI pipelines including agentic decision systems for real-world deployment.
Edge AI & Real-Time Intelligence
Optimization of ML and agentic models for ECUs, cameras, and embedded platforms to enable fast, reliable on-device inference.
Advanced Computer Vision
Deep expertise in CV (DMS, ADAS, tracking) combined with agent-based task planning, contextual reasoning, and multi-step autonomy.
Production-Ready Integration
Seamless integration across vehicle controllers, UGVs, and cloud systems with rigorous testing and validation.