Building AI Software That Actually Ships

IP Innominds is a software company focused on custom AI chatbot development, RAG architectures, and LLM-powered applications for legal, e-commerce, and enterprise clients.

From Idea to Production AI

IP Innominds was founded with one clear frustration: businesses were drowning in documents, workflows, and decisions that AI could handle — but off-the-shelf tools never fit quite right. Every client had a specific domain, a specific language, specific rules.

We started by building exactly what was missing: AI systems trained and grounded in a client's own knowledge base. Our first production system was a RAG-powered legal research platform for trade law practitioners in India — now live at mylegalware.com.

Today we work across legal tech, e-commerce, and enterprise software — wherever documents, decisions, and conversations can be made smarter with AI.

200+
Documents indexed in production
4
AI modules shipped
RAG
Core architecture of choice
Live
Products in active use

Why We Build

We believe every business has a body of knowledge — documents, procedures, decisions — that should be instantly accessible to the right people at the right moment. Our mission is to make that possible through practical, production-ready AI.

Ship, Don't Demo

We build for production from day one. Every system we design is tested against real data, real users, and real edge cases — not controlled demos.

Domain First

A legal AI needs to understand legal language. A retail chatbot needs to understand SKUs and inventory. We go deep on domain before writing a single line of code.

Responsible Speed

AI moves fast. We keep up — but not at the cost of accuracy, security, or maintainability. Fast is only good when what ships is correct.

Our Tech Stack

We pick tools based on the problem, not trends. Our stack is built around LLMs, vector retrieval, and cloud-native deployment.

LLMs & AI Models
GPT-4o / GPT-4-turbo
Claude (Anthropic)
Gemini Pro
Open-source (Mistral, Llama)
RAG & Vector Databases
Pinecone
Weaviate
ChromaDB
LangChain / LlamaIndex
Cloud Platforms
AWS (Lambda, S3, Bedrock)
Azure (OpenAI, Cognitive)
Google Cloud (Vertex AI)
VPS / On-premise
Full-Stack & Backend
Python (FastAPI, Flask)
Node.js / Next.js
React / Vue
PHP / MySQL

How We Work

We adapt to your situation — whether you have a fully formed spec or just a problem to solve.

Typical Project Timeline

1
Week 1
Discovery
Understand domain, data sources, and success criteria
2
Week 2
Architecture
Design the AI pipeline, choose models and vector store
3
Weeks 3–5
Build & Index
Core AI features, document ingestion, and chat interface
4
Week 6
Review & Tune
Accuracy testing, prompt optimization, edge case review
5
Week 7
Launch
Deploy to cloud, go live, monitor first-week performance

The People Behind the Build

A small, focused team with deep experience in AI engineering, full-stack development, and domain-specific software.

RJ

Rajnish Jayaswal

Founder & Lead Engineer

Architect of mylegalware.com. Specializes in RAG systems, LLM integration, and building AI products from zero to production.

RAG LangChain Python Legal AI
AI

AI Engineering

Model & Pipeline Specialists

Focused on embedding pipelines, vector retrieval accuracy, prompt engineering, and model evaluation for production workloads.

Pinecone OpenAI Embeddings
FE

Frontend & UX

Interface & Experience

Build the interfaces users actually interact with — dashboards, chat UIs, admin portals — with clarity and performance in mind.

React Next.js UI/UX

Ready to Build Something with AI?

Tell us about your problem. We'll tell you if and how AI can solve it — no jargon, no overselling.

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