AI ENGINEERING · AI EVALUATION · AI DATA

Build, Evaluate & Scale AI Systems

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.

5+Years Industry Experience
30+AI Projects Delivered
10+Countries With Global Clients
10+Languages Supported

Build

AI agents, LLM applications, RAG, automation and enterprise AI.

Evaluate

LLM evaluation, AI agent testing, benchmarking, QA and human feedback.

Data

Data collection, video/image annotation, RLHF and human-in-the-loop AI operations.

  • AI Engineering
  • AI Evaluation
  • AI Data Operations
  • Human-in-the-Loop
  • Enterprise AI
The Problem

AI is easy to demonstrate. Making it reliable is harder.

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.

Build

Build

Design and develop AI systems around real business workflows.

Evaluate

Evaluate

Measure whether models and agents perform reliably against defined requirements.

Scale

Scale

Build the data, engineering and human-in-the-loop capabilities required to move from pilot to production.

What We Do

AI Engineering · AI Evaluation · AI Data Operations

Build AI

Design and develop intelligent systems around your business workflows.

  • AI Agents
  • Agentic AI
  • Multi-Agent Systems
  • LLM Applications
  • RAG
  • Generative AI
  • Workflow Automation
  • Enterprise Integrations
Explore AI Engineering

Evaluate AI

Know whether your AI actually works before putting it into production.

  • LLM Evaluation
  • AI Agent Evaluation
  • Benchmarking
  • Response Quality
  • Factuality Evaluation
  • Instruction Following
  • Human Evaluation
  • QA & Validation
Explore AI Evaluation

Power AI With Data

Build the high-quality data and human feedback required for modern AI systems.

  • Data Collection
  • Data Sourcing
  • Image Annotation
  • Video Annotation
  • Household Video Data
  • RLHF
  • Human Feedback
  • Data QA
Explore AI Data
Industries

AI solutions for real-world domains

We combine domain understanding, engineering, data and evaluation to build solutions around real operational problems.

Financial Services

AI automation, document intelligence, intelligent workflows, AI assistants and evaluation.

Healthcare

AI data preparation, document workflows, evaluation and human-in-the-loop systems.

Robotics & Computer Vision

Video data collection, human activity data, image/video annotation and multimodal AI evaluation.

Enterprise

AI agents, RAG, workflow automation, knowledge systems and enterprise integrations.

Education & STEM

Mathematical reasoning, STEM data, AI evaluation and specialized human feedback.

Retail & E-commerce

Customer automation, product intelligence, conversational AI and intelligent workflows.

Specialized AI Data & Evaluation

Specialized AI Data & Evaluation

Mathematics & STEM

Specialized mathematical reasoning and evaluation workflows for AI systems, including problem solving, solution validation, structured explanations and STEM-focused model evaluation.

Human Activity & Video Data

Structured collection and annotation of real-world human activity and household video data for computer vision and multimodal AI workflows.

LLM & Agent Evaluation

Human-in-the-loop evaluation designed to measure reasoning, instruction following, factuality, task completion and agent behavior.

What We Can Build

Solution Blueprints

Representative systems we design and deliver — not client case studies.

AI Customer Support Agent

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

Enterprise Knowledge Assistant

An AI assistant that retrieves information from internal business knowledge and helps employees find relevant answers faster.

Technologies: RAG · Vector Search · LLM · Access Control

AI Evaluation Pipeline

A structured evaluation workflow that tests AI responses against defined quality criteria and produces measurable results.

Technologies: LLMs · Evaluation Frameworks · Human Review · Analytics

Video Data Pipeline

A workflow for collecting, organizing, annotating and quality-checking video data for AI and computer vision applications.

Technologies: Video Data · Annotation · QA · Data Operations

How We Work

From AI idea to measurable outcome

  1. 01

    Discover

    Understand your business problem, users, workflows and data.

  2. 02

    Define

    Establish solution architecture, success metrics and evaluation criteria.

  3. 03

    Build

    Develop the AI system, data workflow or evaluation framework.

  4. 04

    Evaluate

    Test quality, reliability, accuracy, safety and performance.

  5. 05

    Deploy

    Integrate with your existing technology environment.

  6. 06

    Improve

    Monitor results, incorporate feedback and continuously improve the system.

Why AlgoriumAI

Built for teams that need AI to work

Engineering-first

We focus on practical, production-oriented AI systems rather than technology demonstrations alone.

Human + AI

We combine automation with human evaluation and quality control where human judgment matters.

Model-agnostic

We select models and technologies based on the project's requirements rather than forcing every problem into one stack.

Flexible delivery

Engage us for a defined project, dedicated specialists, or an ongoing AI delivery requirement.

Quality-focused

Structured QA, evaluation and review processes help ensure that deliverables meet defined requirements.

Direct collaboration

Work directly with an experienced AI delivery team throughout the engagement.

Security & Responsible AI

Security & Responsible AI

AI systems often work with sensitive business information. We design projects with security, access control and responsible data handling in mind.

Secure Data Handling

Controlled access to project data and environments.

Access Control

Access is managed according to project roles and requirements.

Data Protection

Appropriate secure transfer and data-handling practices based on project requirements.

Responsible AI

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.

Project Experience

Representative AI Workflows

Household Video Data

Focus: Real-world human activity video collection and annotation.

  • Collection
  • Annotation
  • Review
  • QA

LLM Evaluation

Focus: Structured evaluation of AI-generated responses.

  • Evaluation
  • Reasoning
  • QA
  • Human Feedback

Mathematical AI Evaluation

Focus: Mathematical problem solving and validation.

  • STEM Reasoning
  • Solution Verification
  • LLM Evaluation

AI Engineering

Focus: AI-powered applications and workflow automation.

  • Agents
  • RAG
  • APIs
  • Integrations

Selected client work may be subject to confidentiality. Additional project details can be shared where permitted.

Technology

Technology that fits the problem

AI Models

  • OpenAI
  • Anthropic
  • Google Gemini
  • Meta Llama
  • Open-source models

AI Engineering

  • Python
  • FastAPI
  • JavaScript / TypeScript
  • React
  • Next.js
  • Node.js

AI Systems

  • RAG
  • AI Agents
  • Multi-Agent Systems
  • LLM Applications
  • Vector Search

Data

  • Data Pipelines
  • Data Collection
  • Annotation
  • Evaluation
  • Human Feedback

Cloud & Deployment

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • CI/CD
  • MLOps

Our technology choices depend on the project's requirements. We consider quality, cost, latency, security and maintainability when selecting the appropriate technology stack.

About Us

Built by AI Practitioners

Our Story

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.

What We Believe

  • Build for the real world.
  • Measure before claiming.
  • Use humans where human judgment matters.
  • Keep systems maintainable.
  • Earn trust through execution.
Leadership Team

The people behind AlgoriumAI

Shankar Puri

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.”

Gaganpreet Singh Dhillon

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.”

Contact

Let's discuss your AI project

Tell us what you're trying to build, evaluate or scale. We'll review your requirements and come back with a practical next step.

info@algoriumai.com

No hard sell. Just a practical conversation about your requirements.