Build
Design and develop AI systems around real business workflows.
AI ENGINEERING · AI EVALUATION · AI DATA
AlgoriumAI helps organizations turn AI opportunities into reliable systems—from AI agents and LLM applications to model evaluation, human feedback, and production-ready data operations.
AI agents, LLM applications, RAG, automation and enterprise AI.
LLM evaluation, AI agent testing, benchmarking, QA and human feedback.
Data collection, video/image annotation, RLHF and human-in-the-loop AI operations.
Moving from an AI prototype to a system that people can actually depend on requires more than a model.
It requires the right architecture, reliable data, rigorous evaluation, quality assurance, secure integrations, and continuous improvement.
That's where AlgoriumAI comes in.
Design and develop AI systems around real business workflows.
Measure whether models and agents perform reliably against defined requirements.
Build the data, engineering and human-in-the-loop capabilities required to move from pilot to production.
Design and develop intelligent systems around your business workflows.
Explore AI EngineeringKnow whether your AI actually works before putting it into production.
Explore AI EvaluationBuild the high-quality data and human feedback required for modern AI systems.
Explore AI DataWe combine domain understanding, engineering, data and evaluation to build solutions around real operational problems.
AI automation, document intelligence, intelligent workflows, AI assistants and evaluation.
AI data preparation, document workflows, evaluation and human-in-the-loop systems.
Video data collection, human activity data, image/video annotation and multimodal AI evaluation.
AI agents, RAG, workflow automation, knowledge systems and enterprise integrations.
Mathematical reasoning, STEM data, AI evaluation and specialized human feedback.
Customer automation, product intelligence, conversational AI and intelligent workflows.
Specialized mathematical reasoning and evaluation workflows for AI systems, including problem solving, solution validation, structured explanations and STEM-focused model evaluation.
Structured collection and annotation of real-world human activity and household video data for computer vision and multimodal AI workflows.
Human-in-the-loop evaluation designed to measure reasoning, instruction following, factuality, task completion and agent behavior.
Representative systems we design and deliver — not client case studies.
An AI agent that understands customer requests, retrieves relevant information, performs defined actions and escalates complex cases to human teams.
Technologies: LLM · RAG · APIs · Agent Orchestration
An AI assistant that retrieves information from internal business knowledge and helps employees find relevant answers faster.
Technologies: RAG · Vector Search · LLM · Access Control
A structured evaluation workflow that tests AI responses against defined quality criteria and produces measurable results.
Technologies: LLMs · Evaluation Frameworks · Human Review · Analytics
A workflow for collecting, organizing, annotating and quality-checking video data for AI and computer vision applications.
Technologies: Video Data · Annotation · QA · Data Operations
Understand your business problem, users, workflows and data.
Establish solution architecture, success metrics and evaluation criteria.
Develop the AI system, data workflow or evaluation framework.
Test quality, reliability, accuracy, safety and performance.
Integrate with your existing technology environment.
Monitor results, incorporate feedback and continuously improve the system.
We focus on practical, production-oriented AI systems rather than technology demonstrations alone.
We combine automation with human evaluation and quality control where human judgment matters.
We select models and technologies based on the project's requirements rather than forcing every problem into one stack.
Engage us for a defined project, dedicated specialists, or an ongoing AI delivery requirement.
Structured QA, evaluation and review processes help ensure that deliverables meet defined requirements.
Work directly with an experienced AI delivery team throughout the engagement.
AI systems often work with sensitive business information. We design projects with security, access control and responsible data handling in mind.
Controlled access to project data and environments.
Access is managed according to project roles and requirements.
Appropriate secure transfer and data-handling practices based on project requirements.
Evaluation and human review designed around the specific risks and requirements of each use case.
Security, privacy and compliance requirements can be discussed during project discovery and onboarding.
Focus: Real-world human activity video collection and annotation.
Focus: Structured evaluation of AI-generated responses.
Focus: Mathematical problem solving and validation.
Focus: AI-powered applications and workflow automation.
Selected client work may be subject to confidentiality. Additional project details can be shared where permitted.
Our technology choices depend on the project's requirements. We consider quality, cost, latency, security and maintainability when selecting the appropriate technology stack.
AlgoriumAI was founded to help organizations turn AI capability into practical systems, reliable data and measurable outcomes.
We combine AI engineering, data operations, quality assurance and human evaluation to support organizations across the AI development lifecycle.
Founder & CEO
Indian Institute of Technology (IIT) Guwahati (Turing)
“I believe artificial intelligence should solve real business challenges—not just showcase technology. At AlgoriumAI, our mission is to build practical, scalable, and trustworthy AI solutions that create measurable impact for organizations worldwide.”
Co-Founder
Chandigarh University (Turing)
“Innovation begins with understanding people and their challenges. At AlgoriumAI, we focus on transforming ideas into intelligent AI solutions that help businesses work smarter, grow faster, and embrace the future with confidence.”
Tell us what you're trying to build, evaluate or scale. We'll review your requirements and come back with a practical next step.