---
license: cc-by-4.0
tags:
- molly-os
- whitepaper
- preprint
- orchestration
---

# Molly OS - Whitepaper / Preprint

**Daniele Trovato - Core Labs R&D** - v1.0 - June 2026

*Molly OS: A Model-Agnostic Inference Orchestration Layer for On-Device and Federated Inference.*

A sovereign orchestration layer that routes each request across heterogeneous execution
targets (on-device, LAN, cloud, external API), serves many domain-specialist LoRA adapters
over a shared quantized base, enforces on-device-first data sovereignty, and continuously
specializes via distillation. Evaluation across ~100 domains (neutral LLM judge, 115-panel
probe) shows orchestration improves output quality over the unspecialized base.

## Links

- Product: https://iamolly.ai
- Company: https://corelabsgroup.com


## Read the paper
- **On this page (renders with figures):** `molly_os_whitepaper_en.md` - `molly_os_whitepaper_es.md` - `molly_os_whitepaper_it.md`
- **PDF (offline / print, figures embedded):** `molly-os-whitepaper-en.pdf`
- **Branded rendered version (live):** [EN](https://app.iamolly.ai/static/whitepaper_v4.html) - [ES](https://app.iamolly.ai/static/whitepaper_v4.es.html) - [IT](https://app.iamolly.ai/static/whitepaper_v4.it.html)

Architecture figures are embedded as SVG in the `.md` views (`fig_1.svg` ... `fig_5.svg`)
and rasterized into the PDF. The 69 references are verified against the arXiv API, with
official venue links for the two non-arXiv works.

## License

**Status: PUBLIC preprint.** This repository contains three artifact classes, each
licensed separately:

| Artifact | License | What it allows |
|---|---|---|
| Whitepaper, translations & figures | **CC-BY-4.0** | Share, quote, translate and build upon with attribution (incl. commercial) |
| Source code | **Apache-2.0** | Use, modify and distribute, including commercially |
| Model adapters / weights | **CC-BY-NC-4.0** | Share and adapt with attribution; no commercial use |

You may read, cite, quote, translate, and reuse the whitepaper with attribution. See
`LICENSE`. The orchestration **service** is the commercial product; for commercial use of
the adapter weights, contact info@corelabsgroup.com.

## How to cite
```bibtex
@techreport{trovato2026mollyos,
  title       = {Molly OS: A Model-Agnostic Inference Orchestration Layer for On-Device and Federated Inference},
  author      = {Trovato, Daniele},
  institution = {Core Labs R&D},
  year        = {2026},
  month       = {6},
  note        = {Preprint, v1.0}
}
```

**Contact (corresponding author):** Daniele Trovato - Core Labs R&D - info@corelabsgroup.com

(c) 2026 Daniele Trovato / Core Labs R&D. Contact: info@corelabsgroup.com