From generative content engines to real-time vision systems — we build, train, and deploy AI that integrates seamlessly into your existing workflows.
Generative AI
Custom LLM-Powered Applications
We build intelligent content engines, domain-specific AI assistants, and document automation tools powered by large language models — fine-tuned or augmented with your data via RAG pipelines. Whether you need a chatbot that knows your product inside-out, an internal knowledge assistant, or an AI that writes structured reports from raw data — we engineer it end to end.
Use Cases
AI chatbots trained on your business knowledge base
Automated proposal, contract & report generation
Multilingual content translation & summarisation
Code assistant & developer productivity tools
LLM Fine-tuningRAG PipelinesPrompt Engineering
Telephony AI
Voice AI Agents for Calls & IVR
Deploy AI-powered voice agents that speak, listen, and respond in real time — handling inbound customer queries, outbound follow-ups, and appointment bookings without human intervention. Replace rigid DTMF IVR trees with conversational, human-like phone agents available 24/7 — reducing call centre costs by up to 60%.
Use Cases
AI voice agents for customer support & FAQs
Outbound lead qualification & appointment setting
Real-time call transcription & sentiment tagging
STT / TTSConversational IVRCall Analytics
Agentic AI
Autonomous Multi-Step AI Agents
Task received & decomposed
Goal parsed into sub-tasks
Tools invoked autonomously
APIs, search, DB queries
Action executed & reported
Result verified & delivered
Agentic AI systems plan, reason, and execute complex multi-step workflows autonomously — browsing the web, querying databases, updating CRMs, and making decisions with minimal human input. Perfect for repetitive knowledge-work automation across departments.
Use Cases
Automated research & briefing agents
CRM data enrichment & follow-up automation
AI agents for HR, finance & compliance
Multi-AgentTool UseWorkflow Automation
Predictive AI
Forecast, Detect & Prevent with ML
Turn historical data into forward-looking intelligence. Our predictive ML models help you anticipate demand, identify at-risk customers, catch fraud before it happens, and optimise operations — all grounded in your own data with explainable, actionable results.
Use Cases
Demand & sales forecasting for inventory planning
Customer churn prediction & retention triggers
Real-time fraud & anomaly detection
Time-SeriesXGBoost / LSTMREST API Deployment
Model Training
Custom AI Model Development & MLOps
We build AI from scratch when off-the-shelf models don't cut it — from data collection and annotation through GPU-accelerated training and rigorous evaluation, to deployment as APIs your team can actually use. We also set up MLOps pipelines for drift detection and continuous retraining.
Use Cases
Domain-specific NLP classifiers & entity extractors
Custom recommendation & ranking engines
Edge-optimised models for IoT & embedded devices
PyTorch / TensorFlowMLOpsGPU Training
Computer Vision
AI-Based Vehicle Counting & Traffic Analytics
Our AI-powered vehicle counting system uses advanced computer vision
to detect, track, and count vehicles in real-time from CCTV or traffic cameras.
It provides accurate traffic insights, congestion analysis, and smart city
monitoring with high precision even in complex environments.
Use Cases
Smart traffic management & congestion control
Toll plaza & highway vehicle monitoring
Parking analytics & vehicle flow optimization
Computer Vision
YOLO / OpenCV
Real-Time AI
Computer Vision
See, Detect & Understand the Physical World
We engineer real-time computer vision systems for surveillance, safety, retail, logistics, and identity verification. Our models are trained on custom datasets curated for your specific environment — ensuring accuracy in your exact lighting, camera angle, and scene conditions. Runs on cloud, on-premise, or edge hardware like NVIDIA Jetson.
Use Cases
Identity verification & biometric access control
Traffic monitoring & vehicle classification from CCTV
PPE compliance & workplace safety monitoring
Retail footfall analytics & shelf occupancy detection
YOLOv8 / DETRReal-time VideoEdge DeploymentOpenCV
Flagship Vision Models
Face Verification Model
1:1 face matching with liveness detection & anti-spoofing. Supports KYC, employee check-in, and secure access control.
99.1% accuracy · <80ms latency
Vehicle Counting Model
Multi-lane real-time vehicle detection & classification (car, truck, bike, bus) with directional flow analytics from live CCTV.
98.4% mAP · multi-class
Up to 99.2% Detection Accuracy
Computer Vision
AI-Based Face Verification & Identity Authentication
Our AI-based face verification system uses advanced deep learning models
to accurately match and verify identities in real-time. It ensures secure,
contactless authentication for businesses, reducing fraud and enhancing
user experience across multiple platforms.
Use Cases
Employee attendance & access control systems
KYC verification for banking & fintech apps
Secure login & identity authentication platforms
Face Recognition
Deep Learning
Real-Time AI