A co-founded generative AI product and engineering studio building real solutions for enterprises. We help teams automate knowledge-intensive workflows and deliver personalized customer and employee experiences through AI systems designed to ship, scale, and create measurable impact.

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Building Enterprise AI Solutions for Knowledge Work Automation

1

High-Impact Automation Opportunities

We identify the enterprise workflows where AI can remove the most manual effort, reduce turnaround time, and unlock the biggest business gains.

2

Seamless Workflow Integration

We design AI systems that fit into the tools teams already use, from Slack and email to internal portals and knowledge bases.

3

Measurable Business Outcomes

We build for clear impact, tracking productivity, quality, cost savings, and adoption so every solution proves its value.

4

Fast Path from Concept to Production

We move quickly from prototype to deployed product, iterating with real users until the system is reliable, useful, and ready to scale.

Mitigating Risks in LLM Deployment

Ethical Considerations

We ensure your GenAI solutions are developed and deployed ethically, addressing bias, fairness, and transparency.

Compliance Requirements

We help you navigate the regulatory landscape and ensure compliance with relevant privacy laws and regulations.

Performance Reliability

We focus on building reliable and robust GenAI solutions that meet your performance and accuracy standards.

Rapid GenAI Prototyping & MVP Development

1

Retrieval-Augmented Generation (RAG)

We build production-grade RAG systems for enterprise search and knowledge automation, helping teams access proprietary data through reliable chat-like experiences.

Graph & Vector DB Expertise - Neo4J, Elastic, Pinecone, Milvus, Mongo

2

Agentic Use-Cases

We ship real workflow automation with intelligent agents that connect to Slack, create Jira tickets, update CRM records, and schedule events—turning AI into operational leverage.

Agent Tech - CrewAI, Autogen, LangGraph, Composio

3

Fine-Tuning Existing Models

We adapt & re-train foundation models for your specific needs and data.

FM Expertise - GPT, Llama, Claude, Basic + Instruct + Math specific models

Scaling GenAI Solutions to Production

1

LLMOps Expertise

We provide comprehensive LLMOps support for managing and scaling your GenAI models.

2

Multi-Cloud Deployment

We deploy your GenAI solutions across multiple cloud providers, ensuring scalability and flexibility.

3

Data Guardrails

We implement robust data governance policies to ensure data security, privacy, and ethical use.

Case Studies & Live Projects

Real-World GenAI Applications

Data Migration & De-Commissioning Factory

Large Global Bank

Achieved 97% accuracy in intelligent schema mapping while cutting manual mapping time by 200x through automated validation and cleansing.

Autogen-Based Enterprise Workflow Agent

High-growth SaaS Scale-up

Built a Slack-based Autogen agent that automates Jira ticket creation, event scheduling, and CRM updates for a product SaaS startup.

GenAI-Based Recruiting Copilot

High-growth SaaS Startup

Created a GenAI-powered recruiting assistant that uses RAG to provide insights and recommendations.

Online Reputation Management Assistant

A Top Marketing Agency

A personalized response generator for queries and complaints on social media pages of brands

Common Use Cases for GenAI Solutions

Marketing Automation

Automating content creation, social media management, and email marketing.

Voice-Based Transcription and Translation

Generating accurate transcripts and translations from voice recordings.

YouTube Videos to Question Answering Bot

Creating a Q&A bot that provides answers based on YouTube video content.

Document Summarization and Analysis

Generating concise summaries and extracting insights from lengthy documents.

The Founding AI Engineers

Anupam Choudhari

Product Strategy & AI Engineer

Previously, CPTO & Co-founder of Spottabl,
Head of Data Science at EDGE AI,
Researcher at Los Alamos National Lab,
MS-CS Rochester Institute of Technology

GenAI, Product Strategy, UX Design, SaaS

Keith Pinto

CTO & AI Engineer

Previously, Lead Engineer at Atlassian,
Head of Engineering at EdGE AI,
MS-IT University of Mumbai

Agent Architecting, LLM OPs, Data Engineering, Agile, App Dev


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