KeyValue AI Lab is the technical backbone behind the AI products we build and ship. Backed by a significant in-house compute investment, our Lab powers faster prototyping, large-scale experimentation, and production ready AI—from applied machine learning to advanced LLM systems. With GPU-accelerated infrastructure featuring over 36,000 CUDA cores and high-speed storage, we help teams move quickly without infrastructure bottlenecks. And this is just the beginning. We’re actively expanding toward a next-generation AI facility with a planned $1M+ investment, ensuring our clients benefit from deeper research, faster iteration cycles, and an AI foundation built for what’s coming next.
Leading the way in AI innovation
Empowering with the speed, scale, and control to create the future of AI.
Faster exploration faster outcomes
Our in-house GPU capacity lets us rapidly prototype, test, and refine AI features, so you see working results—and real user impact—much sooner.
Built for advanced AI workloads
Our GPU-backed setup enables fine-tuning, large-scale retrieval, and high-performance inference—so we can say 'yes' to more complex, high-value AI use cases.
Predictable performance and cost
With our own GPU capacity, we can tune models for each product, hit strict latency/throughput targets, and keep AI costs under control as usage scales.
A lab that actually experiments
Our GPUs power ongoing R&D, so every client benefits from the models, tools, and patterns we refine across projects.
Smarter models, tailored to your needs
With our own GPU stack, we can run open-source and specialized models side by side, choosing what's best for your use case—not just what one provider offers.
More control over sensitive data
Our GPU capacity lets us process sensitive workloads in a controlled environment, reducing how much data ever leaves your or our boundary.
Our innovation gallery
Explore our portfolio of AI innovations and successful implementations
Smart Driver Assistance
A smart seating solution for VISION BASED SEATING-enabled cars that personalizes seat positioning through advanced video analytics. Deployed in NVIDIA Jetson AGX Orin, it uses state-of-the-art vision and predictive models to deliver intelligent, driver-specific comfort and safety.
Key features
- AI-Powered Personalization
- Edge Deployment on Jetson AGX Orin
- Advanced Computer Vision Stack
- Predictive Modeling
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Legal Language Model
Legal Language Model brings intelligence to the legal domain through a compact 3B-parameter model, pretrained and fine-tuned on rich legal corpora. Its capabilities empower accurate, efficient, and contextual performance across various downstream tasks for enterprise use.
Key features
- Comprehensive Real-World Testing
- Efficient and Compact Architecture
- Domain-Specialized Knowledge
- Evaluation and Benchmarking
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Manglish Voice Agent
Manglish Voice Agent automates the KYC journey using a specialized multi-agent voice-to-voice platform, offering a seamless experience in Manglish. Its proprietary, trained model ensures enhanced security and regulatory compliance through on-premises client hosting.
Key features
- Native Manglish Proficiency
- Voice-to-Voice Automation
- Zero Data Leakage
- Unmatched Security (Client-Hosted)
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Vision Driven Survelliance
AI-powered video analytics solution for robotic surveillance that automatically detects and alerts authorities about unattended luggage in real time. Built using advanced object detection and tracking algorithms for scalable, autonomous monitoring.
Key features
- Real-time Luggage Detection and Tracking
- Custom Unattended Logic
- Dataset Curation and Validation
- Optimized Inference Pipeline
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Guided Photo Capture
OBT is an automated dental photography web app for easy user onboarding. It uses AI to capture specific teeth views, streamlining the initial dentist assessment.
Key features
- AI-Driven Automated Photography
- Guaranteed Image Quality
- State-of-the-Art (SOTA) Model
- Streamlined User Onboarding
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Dental Image Classifier
This AI-powered system automatically analyzes, tags, and classifies various types and views of dental images, accurately replicating the prior work done manually by human experts.
Key features
- Automated Image Classification
- High Efficiency
- 10-Class Sorting
- High Accuracy
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Smart Driver Assistance
Overview
A sophisticated edge-AI solution integrating computer vision, predictive modeling, and embedded intelligence for next-generation automotive experiences. It leverages cutting-edge computer vision models to analyze driver body profiles and automatically adjust seat positions. Built and deployed on the NVIDIA Jetson AGX Orin, the system combines real-time analytics, model optimization, and ECU integration. By uniting AI precision with automotive-grade reliability, this VISION BASED SEATING Project enhances driver experience while simplifying OEM adoption.
Key features
AI-Powered Personalization
Automatically adjusts seat configuration using body profile analysis for comfort and ergonomics.
Edge Deployment on Jetson AGX Orin
End-to-end optimized pipeline with TensorRT engines for real-time, low-latency inference.
Advanced Computer Vision Stack
Utilizes SAMv2, DepthAnything V2, BlazePose, BlazeFace, YOLO, DeepFace, and segmentation models for feature extraction.
Predictive Modeling
Trained and fine-tuned regression model for precise seat position prediction.
Seamless System Integration
Communicates predictive outputs to car ECUs via serial interfaces, fully containerized for scalable OEM deployment.
Legal Language Model
Overview
Legal Language Model is a compact yet powerful 3B legal AI model, purpose-built for the Indian legal landscape. Trained on a vast, high-quality corpus of acts, laws, judgments, and regulatory documents, it captures nuanced legal reasoning and context. Fine-tuned for downstream tasks such as legal question answering, summarisation, structured output generation, and drafting, it delivers domain-specific accuracy and clarity. With its efficient and scalable architecture, Legal Language Model ensures fast, reliable, and cost-effective legal intelligence for enterprise applications.
Key features
Comprehensive Real-World Testing
Comprehensively evaluated across real world tasks including legal QA, clause understanding, summarisation and other legal applications.
Efficient and Compact Architecture
Built on a 3B-parameter base model, offering the right balance between performance and training cost.
Domain-Specialized Knowledge
Trained exclusively on curated corporate legal datasets, including acts, statutes, contracts, case law, compliance documents, and regulatory frameworks.
Evaluation and Benchmarking
Model's performance has been evaluated using metrics such as perplexity, hallucination rate, coherence, factual accuracy, and response relevance to ensure robust legal reasoning and reliability.
Continued Pretraining (CPT) on Legal Corpus
Captures the semantics, reasoning structure, and terminology of Indian laws, improving contextual grounding and consistency in long-form legal responses.
High-Quality Data Preparation Pipeline
Built from a large collection of legal text that was cleaned, deduplicated, and categorized.
Manglish Voice Agent
Overview
Manglish Voice Agent is a voice-to-voice, multi-agent system specifically engineered for automated KYC (Know Your Customer), providing a seamless and accurate experience in the Manglish language. Its core is a proprietary, custom-trained model built from a specialized KYC dataset, ensuring complete data sovereignty and security by eliminating the need to send any sensitive conversation data to third-party LLM providers. The entire solution is designed for client-side hosting to meet the highest regulatory compliance and data security standards.
Key features
Native Manglish Proficiency
Uses an advanced model trained specifically on a KYC dataset to accurately handle the unique mixed-language communication of Manglish (Malayalam and English).
Voice-to-Voice Automation
Offers a complete, automated end-to-end KYC process via natural spoken dialogue, eliminating the need for human agents.
Zero Data Leakage
Features a proprietary, custom-trained LLM that ensures no sensitive conversation data is ever sent to or shared with third-party AI providers.
Unmatched Security (Client-Hosted)
Designed for on-premises or client-side hosting, guaranteeing compliance and complete control over data security.
Multi-Agent System
Leverages a robust multi-agent architecture for complex, conversational flow management during the automated KYC process.
Vision Driven Survelliance
Overview
An end-to-end unattended luggage detection system integrated into security and surveillance robots. It leverages state-of-the-art vision models for precise luggage detection and robust tracking across video frames. A custom logic pipeline identifies unattended objects by analyzing proximity between luggage and people. The optimized inference pipeline ensures real-time alerts for enhanced public safety and operational efficiency.
Key features
Real-time Luggage Detection and Tracking
Real-time luggage detection and tracking with SOTA Computer vision models.
Custom Unattended Logic
Custom logic to flag luggage with no nearby person as unattended.
Dataset Curation and Validation
Dataset curation, relabeling, and validation for high-accuracy performance.
Optimized Inference Pipeline
Optimized inference pipeline for real-time deployment on robotic systems.
AI-Driven Alerting
Reduces dependency on human monitoring through AI-driven alerting.
Guided Photo Capture
Overview
The On Boarding Tool (OBT) streamlines the initial patient assessment by using AI to capture precise dental images remotely. It goes beyond simple photography, actively guaranteeing each required view is sharp, well-lit, and perfectly oriented. This ensures dentists receive crystal-clear, reliable data for swift and effective preliminary review.
Key features
AI-Driven Automated Photography
Effortlessly captures multiple, specific views of the user's teeth without manual intervention.
Guaranteed Image Quality
Automatically ensures every photograph is bright, sharp (in-focus), and perfectly aligned.
State-of-the-Art (SOTA) Model
Powered by a proprietary, trained SOTA AI model to deliver unparalleled image quality and accuracy.
Streamlined User Onboarding
Provides a simple, effective web application experience for the patient's initial data collection.
Optimized for Dentist Review
Generates an organized set of high-quality visual data, perfect for swift and reliable remote preliminary assessment.
Dental Image Classifier
Overview
The Magic Classifier is an efficient, high-accuracy artificial intelligence system designed to automate the classification of patient dental images. It processes different views (such as periapical, bitewing, panoramic, etc.) and types of dental images, sorting them precisely into 10 distinct classes. This automation replaces the time-consuming and labor-intensive process previously performed manually by human personnel. The system demonstrates robust performance, achieving a high classification accuracy of 92%. By streamlining this crucial tagging and classification step, the Magic Classifier significantly enhances the speed and organization of dental record management.
Key features
Automated Image Classification
Automatically analyzes and tags various dental images, eliminating manual human effort.
High Efficiency
Classifies different views and types of dental images quickly and reliably.
10-Class Sorting
Accurately sorts images into 10 distinct classification categories.
High Accuracy
Demonstrates robust performance with an impressive 92% classification accuracy.
Process Replacement
Successfully replicates and automates the classification task previously performed by human experts.
Improved Workflow
Enhances the speed and organization of dental record management.
AI Blogs
Learn about the experiments, ideas, and breakthroughs driving AI forward
LLM pretraining: Data preparation techniques you can’t afford to ignore
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