Agentic Intelligence. Engineered Outcomes.

Solving with engineering, heuristics, and AI

Why Us

We build intelligent systems that work — not just demos that impress. Our solutions prioritize engineering discipline, heuristic design, and selective use of AI, in that order.

We’re trusted by industry-leading enterprises and global-scale platforms where AI transformation — from research to purpose-built agents to architecture — semantic search infrastructure that delivers at scale.

About us

We’re an Engineering-first AI startup having fun solving tricky problems and productionizing them without burning pockets—trusted by a media giant that the TimesNow (and many others) trust

Our mission

We’re on a mission to make agentic AI practical, powerful, and affordable — by putting engineering and heuristics first, and AI exactly where it counts.

Our vision

To lead AI transformation by delivering engineered agents and intelligent systems — built on a foundation of engineering, heuristics, and selective AI — all at an accessible and cost- effective scale.

Building Blocks Of Our AI Craft

Search

Enterprise Semantic Search

Proven expertise in Semantic and hybrid search systems for Media giants.

Service

Programmable agents

Modular, goal-driven systems built with control and composability

Book

Bespoke LLMs

Custom-tuned language models tailored for domain-specific tasks.

Computer

ReWOO through DSLs

Proven expertise in using custom Domain-Specific Languages to achieve cost effective agents.

Star

Eval backed solutions

Eval is a critical part of each solution that we build.

AI Is The Last Resort

We're an AI company that believes in minimizing blind reliance on AI. Our approach is grounded in the principle:

Engineering > Heuristics > AI

We prioritize deterministic systems and structured reasoning first — using AI only when it truly adds value.

Let's talk

Collaborating with Agent Boutique AI has been essential to our efforts in developing and integrating advanced AI features across our suite of media-focused products. This partnership has enabled us to address complex challenges in Visual Analysis, Visual Understanding, Agentic AI, and beyond, accelerating innovation and delivering reliable, high-quality solutions. Their ongoing support has allowed us to expand our experimentation and deliver effective, high-quality AI solutions with both precision and agility. Looking ahead, we are excited to continue building on these achievements, exploring new AI-driven opportunities, and setting benchmarks for excellence in the Media and Entertainment industry.

Matteo De Martinis

Matteo De Martinis

Head of Product (AI & Media Production) @ Dalet

Engineering AI Outcomes

OUR WORKS

From Transforming Enterprise Systems To Building Our Own AI Assistant, We Put Innovation Into Action.

Star

Semantic Search

01

Brought an enterprise search from Level 4 to Level 2 within a couple of months.

Star

AI transformation

02

Brought AI transformation to our client by researching replacing some of the SaaS AI services that they use at 1/40th of the cost.

Star

Building Donna

03

This is our in-house AI assistant, "Donna", who assists with our non-tech jobs like letter prep, reminders, etc.

TEAM

Meet The Craftsmen Who Experiment And See It Through Production

Abhinanda

Abhinanda

Assosiate Software Engineer

Amidst a journey of building a good foundation in diverse software skills and drafting,writing and working towards publishing a novel.Enjoys exploring storytelling through different mediums such as movies,web series,games,anime,manga,novels.

Visanth

Visanth

Associate Machine Learning Engineer

Figuring things out one experiment at a time, learning, building, and breaking stuff along the way. When he’s not tinkering, you’ll find him gaming, reading, or proudly enjoying the custom PC he recently built.

Vishnu

Vishnu

Software Engineer

Software engineer and part-time ML grad, known for his focus and steady commitment to solving problems.

Kannan

Kannan

Founder & Coder at ABAI

15+ years of industry experience with 6+ years in enterprise Al - leading transformations at a Big Four and a Big Three, and currently driving the Al journey for a global media giant. Past roles include working with leading Al product companies such as H2O.ai. Also guiding startups on their Al paths and running labs with IIT-M collaborators to solve agentic Al challenges.

Field Notes From Our AI Journeys

Semantic Search Beyond Embeddings and Vector DB

Semantic Search Beyond Embeddings and Vector DB

When solving traditional problems like prediction and classification...

MCP Past, Present, Problems and Possibilities

MCP Past, Present, Problems and Possibilities

Almost everyone in the LLM space would have heard about MCP...

Levels of search for enterprise users

Levels of search for enterprise users

Search is an inevitable part of any enterprise application...

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