# AEQUITOUS

> AEQUITOUS is an enterprise AI engineering company. Through the 359 Model it tells enterprise leadership teams in 3, 5 or 9 weeks whether AI can solve a business problem, then engineers it into a production capability the client's team owns. Fixed time, fixed price, fixed outcome. Work runs in the client's cloud and repositories, and the client owns all code, IP and data.

Audience: enterprise leadership teams exploring AI, with a focus on the United States and the United Kingdom. Delivery is remote. Contracting and invoicing are in US dollars.

## The 359 Model

* [Prove, 3 weeks](https://aequitous.com/#engagements): Should we use AI here? AI Opportunity Blueprint, working proof on client data, architecture recommendation and economics, ending in a go, refine or redirect decision.
* [Pilot, 5 weeks](https://aequitous.com/#engagements): How should it work? Validated solution with real users and real data, evaluation results, business case and a blueprint to scale.
* [Produce, 9 weeks](https://aequitous.com/#engagements): Which system scales? Enterprise AI capability in the client's cloud and repositories, with documentation, runbooks and training.

Each engagement is standalone. Model agnostic and vendor agnostic.

## What AEQUITOUS engineers

Proven in production on the company's own platforms.

* [AI reconciliation across channels, banks and vendors](https://aequitous.com/#usecases): 6 hours cut to 30 minutes (12x faster), 8 to 15 percent revenue leakage recovered, $50M+ reconciled
* Documents into structured data, whatever the layout: zero manual entry from partner PDFs to reconciliation
* A marketing team of AI agents: 5 specialist agents and 1 manager agent, deployed in under a week
* Risk scoring and matching for a two sided marketplace: rental credit scoring and matching, 1,500+ property agents and 5,000+ listings on the platform
* AI allocation of work to people and assets: real time queue, automatic assignment
* Live profit and loss for every vehicle and route
* An HR system specified, built and shipped in 3 days

## How an engagement runs

1. First conversation: a leadership call to test fit and recommend Prove, Pilot or Produce
2. Mutual NDA before any data is shared
3. Outcome and statement of work: baseline, target, quality bar, timeline and fixed fee
4. Prove, 3 weeks
5. Pilot, 5 weeks
6. Produce, 9 weeks
7. Handover: code in the client's repositories, all project IP assigned to the client, data in the client's environment, runbooks and training

## Platforms

* [Rentofly](https://rentofly.com): rental credit and marketplace platform
* [GaadiKharcha](https://gaadikharcha.com): AI driven financial operations for fleet and bus operators

## Founder

[Vipin Shukla](https://www.linkedin.com/in/shuklavpn/), Founder and Chief Executive Officer. 19 years engineering enterprise systems for global financial services at Capgemini, Genpact Headstrong and Quinnox, where he was VP Technology Solutions. IIM Ahmedabad alumnus. He leads architecture and delivery on every engagement.

## Contact

* Email: 359@aequitous.com
* Book a leadership call: https://calendly.com/vipin-shukla-aequitous/359-with-aequitous
* LinkedIn: https://www.linkedin.com/company/aequitous/
* Website: https://aequitous.com/

## Optional

* [Full details and FAQ](https://aequitous.com/llms-full.txt)