Open to new projects
Agra, India · Working worldwide

AI That Actually
Does Something.

Production-grade AI systems — knowledge bases, agents, document intelligence, and automation — engineered into real products, for teams that need AI to hold up past the demo.

What This Includes

Everything you get

Get Started →
01

AI Knowledge Bases

RAG-powered systems trained on your company's documents and data

02

RAG Systems

retrieval-augmented generation, from embeddings to vector search

03

AI Agents

autonomous and semi-autonomous agents that take action across your tools

04

Voice AI

voice interfaces and call automation built on modern speech models

05

Workflow Automation

trigger actions based on AI output, connect your stack

06

Enterprise AI

fine-tuning and private deployments for regulated, data-sensitive environments

07

Document Intelligence

upload a document, extract structured data, summarise, analyse

08

Custom LLM Integrations

OpenAI, Claude, Gemini, Mistral, and open-source models

Who It's For

This is for you if…

If any of these sound like you, we're probably a good fit.

1

You have an existing product and want to add AI features that users will actually use

2

You're starting a new AI-native product from scratch

3

Your team is doing something manually that AI could handle (document review, data entry, support)

4

You want to integrate LLMs into your workflow without your whole team needing to understand them

5

You're tired of demos that don't work in production

Architecture

Built in Layers,
Not Bolted Together.

AI features are integrated as a distinct layer with its own retrieval and orchestration — not a wrapper around your database. This keeps your system of record clean, your AI layer swappable, and your product able to scale each piece independently.

UsersWeb and mobile clients
Web / MobileNext.js, React Native — the interface layer
API LayerTyped, versioned endpoints — REST or GraphQL
Business LogicDomain rules, auth, and permissions
AI LayerLLM orchestration, agents, and prompt logic
Vector DatabaseEmbeddings for retrieval and semantic search
DatabasePostgreSQL — the system of record

How We Can Work Together

Pick your engagement

Option A1

Project-Based

  • Defined AI feature set
  • Built and integrated in fixed timeline
  • Clear deliverables upfront
Option B2

Ongoing AI Partnership

  • Monthly retainer
  • Keep your AI features current as models evolve
  • New features, monitoring, prompt refinement
Option C3

Consulting + Implementation

  • First we define what AI should do in your product
  • Then I build it
  • Good if you have a team but need AI expertise
Let's talk →
01

Do I need to understand AI to work with you on this?

Not at all. That's my job. You tell me what you want users to be able to do, I figure out how AI makes that happen.

02

Will AI make my product dependent on a single provider?

Not if we design it right. I build AI layers that can swap providers if needed.

03

Can you add AI to my existing product?

Yes. Most of my AI work is integration into existing codebases, not greenfield.

04

What about data privacy?

Valid concern. We discuss this upfront. Options include local models, private deployments, and API providers with data processing agreements.

Next Step

Looking for a long-term
technology partner?

Book a free 30-minute call. I'll tell you honestly if I'm the right fit.

Book a Free Call →
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