Accelerators

Pre-built, industry-ready accelerators for instant impact

VeAssure

VeAssure is an AI based autonomous test automation platform that delivers 100% autonomous test creation by turning plain requirements into executed test scenarios and actionable defect reports across browsers, APIs and mobile devices. It plans, generates, runs and analyzes tests independently, reducing manual QA effort by 80% and enabling 50% faster release cycles while improving accuracy and reliability at scale.

VeRNOX

VeRNOX is an end-to-end toolkit for building cobots, robots and humanoids, providing developers with integrated perception, navigation and control modules to accelerate autonomy development. It offers environment mapping, 3D understanding and intelligent decision making, enabling rapid creation of reliable, real world capable robotic systems.

VeSLAM

VeSLAM is a comprehensive SLAM algorithm suite built using LiDAR and Visual sensors meant for broad range of environments and use cases. This is a customizable accelerator IP which can be tailor made for indoor environments such as home, office, factory environments and outdoor environments such as agricultural, defence and port/logistics.

VeSoniq

VeSoniq is a low power wake word and command detection solution built for always on IoT devices. It supports multiple wake words and up to 30 commands, allows custom wake words with minimal training data, offers local language support for global markets and provides speaker specific customization for added security.

VeSpot

VeSpot is a lightweight Visual AI model for real time object detection on MCUs, MPUs and NPUs, delivering up to 9x higher compute efficiency with 35 percent fewer parameters and a 32 percent smaller model size than YOLOv11n, enabling fast, accurate and cost-effective deployment across robotics, visual inspection, surveillance and industrial automation.

Custom SLMs

Build compact, domain-trained small language models for healthcare, finance, or legal sectors. These models minimize hallucinations, deliver low-latency responses, and ensure cost efficiency while running on edge or private cloud for secure, highly relevant, and industry-aware AI outputs.

VeAssure – Agentic AI for Quality Engineering

Accelerate product quality with an agentic AI framework covering test design, execution, and reporting. VeAssure supports regression, functional, and reliability testing across platforms. Integrates with DevOps pipelines, coding-language agnostic, and enables continuous delivery with reduced release risks.

DocChampion

Leverage a generative AI engine for intelligent summarization across PDF, DOCX, PPT, Excel, and images. Powered by LLMs and VLMs, it interprets content contextually, enabling compliance audits, knowledge extraction, and research workflows with seamless integration into enterprise systems.

Cloud Cost Optimizer

Automated cost optimization tool that monitors cloud consumption, identifies unused resources, and recommends cost saving alternatives. Achieves up to seventy percent reduction in cloud expenses while maintaining reliability and service efficiency.

Agentic AI for Quality Engineering

Agentic AI accelerator enabling intelligent quality engineering across enterprise systems. Provides test planning, execution, and data management for web, API, and UX testing, ensuring faster release cycles and consistent software performance.

VeBLAS Basic Linear Algebra Optimizer

Optimized BLAS functions supporting compute intensive workloads like deep learning, transformer training, and signal processing. Portable across RISC V, ARM, NPU, DSP, or GPU architectures, enabling faster execution and efficient hardware utilization for edge computing.

VeQuant Model Quantization

Custom quantization framework supporting INT4, INT8, and INT16 models without losing accuracy. Adaptive quantization for nonlinear functions like tanh, sigmoid, and silu ensures optimized performance for DSP, NPU, TPU, and GPU architectures across diverse applications.

VeLang Small Language Model Customizer

Rapid customization tool for building domain specific small language models suited for edge compute. Enables low latency conversational AI for physical AI and robotics applications, delivering local intelligence without reliance on cloud infrastructure.

VeSLAM – Lidar Based SLAM Suite

Customizable SLAM algorithm suite using lidar and visual sensors. Supports diverse environments from homes and factories to agriculture, defense, and logistics, enabling real time localization and mapping for high performance Physical AI systems.

VeRobot – Robotic Simulation Accelerator

Simulation framework for rapid validation of robotic systems. Enables testing of sensors, actuators, compute units, and software in virtual environments to accelerate development and ensure seamless real world integration.

VeMultiModal – Multimodal Data Framework

Integrates multimodal sensor data with AI and traditional signal processing to deliver reliable perception and control. Enhances accuracy, consistency, and decision confidence for mission critical Physical AI applications.

Physical AI

Enterprise AI