Artificial Intelligence automation workshop · Mysore, India

One company.
A ridiculous number
of useful AI automations.

We find messy work and build focused Artificial Intelligence around it. AI reads it. AI structures it. AI matches it. AI does the work.

01 · AI PilotCA–AI–01

AI Powered
Real Estate
Match Maker

Artificial Intelligence turns broker WhatsApp chatter into AI matched, searchable inventory—without changing where the work already happens.

AI Inputs
Messages · Voice · Photos
AI Machine
AI Read · AI Structure · AI Match
AI Outcome
AI matched inventory
Pilot
Artificial Intelligence in. AI outcomes out. ◆ AI reads. AI reasons. AI matches. AI acts. ◆ Useful AI by default. Artificial Intelligence built to ship. ◆ Artificial Intelligence in. AI outcomes out. ◆ AI reads. AI reasons. AI matches. AI acts. ◆ Useful AI by default. Artificial Intelligence built to ship. ◆ 

Artificial Intelligence lab notebook · AI Product 01

AI Powered
Real Estate
Match Maker
— AI Pilot

An Artificial Intelligence system for real estate brokers. AI reads WhatsApp text, photographs, rate sheets and Kannada or English voice notes, then creates AI matched inventory and AI alerts.

Ask about the pilot →

Before AI · Raw inputs

Messages everywhere.
Nothing matches.

  • WhatsApp listing chatter
  • Kannada + English voice notes
  • Photographs and rate sheets
  • Buyer requirements in people’s heads

Artificial Intelligence machine · AI outcomes

Chatter to
AI matched inventory.

  1. AI 01 Capture what brokers already receive
  2. AI 02 Extract and confirm the facts
  3. AI 03 Collapse duplicates and stale stock
  4. AI 04 Match real requirements to inventory

The Artificial Intelligence pipeline

A living AI log.
No fluff. Just AI progress.

Some Artificial Intelligence ideas stick. Some AI experiments don’t. The AI pipeline shows movement without pretending every AI experiment is already an AI product.

Selected: 01 / AI PilotAI Powered Real Estate Match Maker

Our Artificial Intelligence method

The same chaos.
A better AI outcome.

AI · 01

AI Start where the work already happens

Our Artificial Intelligence approach: We don't ask people to change habits. We build into the tools they already use every day — usually WhatsApp, usually messy, usually with no clean data anywhere.

AI · 02

AI Validate before we build

Our Artificial Intelligence approach: Every system starts as a manual pilot with real users. If the behaviour doesn't hold up without software, no amount of software rescues it.

AI · 03

AI Design for the failure modes

Our Artificial Intelligence approach: Duplicates, stale records, bad extractions, silent data loss. The unglamorous parts decide whether a system is trusted or abandoned.

AI · 04

AI Ship narrow, then widen

Our Artificial Intelligence approach: One micro-market, one workflow, one measurable outcome. Scale is a consequence of something working, not a starting assumption.

Building Artificial Intelligence that does the work.

We take on a small number of builds. If you have a workflow where skilled people spend hours doing something a system should do, tell us about it.

hello@crazyaiautomations.com