# Mellivo — Intelligence, untamed.

Mellivo is building hybrid AI for enterprise settings that need structured knowledge, explicit rules, explanations, and repeatable execution. It is the brand of MELLIVO AI TECHNOLOGIES PRIVATE LIMITED, based in Mumbai, India.

## Approach

LLMs can produce unsupported claims. Mellivo's proposed hybrid approach assigns different jobs to generative AI, classical AI, and machine learning. AI helps prepare knowledge from source material. Experts check it. Expert systems apply explicit rules, case memory retrieves relevant precedents, and ML models assess patterns. Constraints and evidence checks precede a traced decision. An LLM can explain the traced result in plain English rather than inventing the decision logic.

Reusing structured knowledge can reduce the need to generate each reasoning step with an LLM. The website makes no quantitative compute-savings claim and no blanket guarantee that the complete system is hallucination-free.

## Engine

1. Build knowledge: organise source material and validate it with experts.
2. Run the engine: combine expert rules, case memory, and ML models within the same domain.
3. Trace the decision: retain the facts, rules, and cases behind the outcome; explain it and route exceptions to a person.

The three-dimensional architecture on the website is a software illustration, not a physical Mellivo hardware product.

## Illustrative applications

- Finance and assurance: review financial evidence against policy and case history.
- Industrial intelligence: connect equipment signals to operating knowledge and past failures.
- Life sciences: support expert review of procedures, research, and quality requirements.
- Institutional systems: navigate policies and procedures with consistent guidance and exception review.
- Discovery and advisory: relate queries to domain knowledge and contextually relevant options.
- Legal intelligence: explore questions across an illustrative archive of cases from 1950–2026, spanning hundreds of thousands of cases and millions of pages. Return cited passages and source-linked answers. Under two seconds is an illustrative response-time target confirmed by the company for this website concept, not a measured result or guarantee.
- BFSI: combine lending rules, model scorecards, and comparable applications, with underwriter review of exceptions.
- Policy and compliance: turn requirements into repeatable checks with source rules and evidence trails.
- Credit, underwriting, and claims: connect eligibility, risk, and claim records to explainable outcomes.
- Fault diagnosis: trace symptoms through diagnostic checks and past incidents to possible causes.
- Expert guidance: compare options, explain trade-offs, and recommend a next step within known constraints.

All scenarios describe areas of exploration. No customer deployment, certification, measured performance, or general availability is implied.

## Company and contact

MELLIVO AI TECHNOLOGIES PRIVATE LIMITED  
CIN: U62013MH2026PTC474363  
Mittal Court A, Nariman Point, Mumbai 400021, India  
Email: hi@mellivo.ai  
Phone: +91 99305 57570  
Website: https://mellivo.ai/

## Policies

- [Privacy policy](/privacy-policy.md)
- [Terms and conditions](/terms-and-conditions.md)