Practical AI Engineering for Production Workflows
We architect, integrate, and scale artificial intelligence solutions that deliver measurable utility. From Retrieval-Augmented Generation (RAG) over private enterprise documents to autonomous agents, computer vision proctoring, and conversational voice testing.
Production-Ready AI Capabilities
We avoid vaporware and experimental gimmicks. Our AI solutions focus on deterministic execution, data privacy, and observable return on investment.
Enterprise RAG & Document Intelligence
Turn unstructured company knowledge, manuals, and PDFs into instant answers. We implement dense vector embeddings, hybrid keyword-semantic search, chunk optimization, and strict groundness verification to eliminate hallucinations.
Autonomous Agents & Task Workflows
Deploy reliable agentic pipelines that query APIs, validate data schemas, and execute multi-step operational tasks. Engineered with deterministic state machines and human-in-the-loop checkpoints for mission-critical reliability.
Real-Time Computer Vision & Telemetry
High-accuracy, edge-optimized visual inference for live webcam monitoring. Automatically flags multi-person presence, candidate absence, face orientation, and ambient anomalies without imposing massive server overhead.
Conversational Voice AI & Oral Viva
Ultra-low latency speech-to-text and natural voice synthesis. Delivers dynamic oral examinations, viva interviews, and customer dialogues that listen actively and generate intelligent follow-up probing questions in real time.
Inbuilt AI Customization & Agility
Zero vendor lock-in. Switch seamlessly between OpenAI GPT-4o, Google Gemini 1.5, Anthropic Claude 3.5, or self-hosted open-weights (Llama 3, Mistral). Our inbuilt prompt and workflow adaptors configure to any business domain.
Responsible AI, Security & Auditability
Enterprise AI demands strict data privacy. We implement prompt injection defenses, personal identifiable information (PII) masking, cryptographic audit logs, and zero data storage on third-party model training sets.
Exam Portal: Next-Gen AI Assessment in Practice
Exam Portal is Universal Radhe's flagship applied AI project. It demonstrates how disparate artificial intelligence models combine into a seamless, high-integrity educational platform:
Automated Question Synthesis from Syllabus
Institutions upload raw syllabi, lecture slides, or textbook chapters. AI automatically digests the materials and synthesizes structured question banks mapped to Bloom's taxonomy.
Continuous Live Computer Vision Proctoring
Monitors student presence, flags unauthorized second-screen activity, detects multiple faces in camera frame, and logs telemetry securely for human reviewer confirmation.
Interactive Voice Viva with Adaptive Follow-Ups
Voice AI conducts 1-on-1 viva examinations, actively analyzing spoken explanations and generating dynamic follow-up questions to assess genuine mastery.
Rubric-Aligned Descriptive Auto-Grading
Evaluates long conceptual answers against faculty rubrics, highlighting exact misconceptions and producing diagnostic weakness heatmaps for instructors.
Institutional AI Customization
One size does not fit all. Our inbuilt AI customization engine enables universities and enterprises to configure any parameter dynamically:
Want to test Exam Portal in your educational institution or company?
Request Institutional PilotOur AI Technology Stack
We build on battle-tested frameworks, state-of-the-art foundation models, and robust cloud infrastructure.
Foundation Models
OpenAI GPT-4o • Google Gemini 1.5 • Claude 3.5 • Llama 3.1 • Mistral Large
Agent & RAG Tooling
Semantic Kernel (.NET) • LangGraph • FastEmbed • Custom Python/C# Orchestrators
Vector & Data Storage
Azure AI Search • Qdrant • pgvector • SQL Server 2022 • Redis Cache
Vision & Voice Pipelines
MediaPipe • OpenCV • WebRTC • Whisper • Azure Speech Services
Ready to Bring AI Into Your Products?
Whether you want to build a new AI-first application, integrate LLMs into your existing codebase, or trial Exam Portal, our team is ready to scope the architecture.