# Lamini Platform

by [Lamini](/organizations/lamini/)

- **ID:** `f9431dd3-4041-49e4-bc39-0f29277b160c`
- **JSON API:** /api/v1/catalog/products/f9431dd3-4041-49e4-bc39-0f29277b160c/
- **Slug:** lamini-platform
- **Product website:** https://docs.lamini.ai
- **Documentation:** https://docs.lamini.ai
- **Organization website:** https://docs.lamini.ai
- **Categories:** [LLM Fine-Tuning Platform](/categories/llm-fine-tuning-platform/), [ML Model Hosting / Deployment](/categories/ml-model-hosting-deployment/)

## Description

Enterprise LLM platform with Memory Tuning for fine-tuning models, Memory RAG for retrieval-augmented generation, and a Classifier Agent Toolkit for high-accuracy routing.

## AI-native score: Unrated

Research coverage is 12/100. An AI-native grade requires 40/100. The provisional breakdown below shows the AI-native signals recorded so far. The AI-native score measures agent-readiness and is not a substitute for your own security or vendor-risk review. See [methodology](/methodology/) for how coverage and the grade are computed.

| Component | Applies | Raw | Effective weight | Nominal weight | Contribution |
| --- | --- | --- | --- | --- | --- |
| Integration | Yes | 0/10 | 35% | 35% | 0.0 |
| Trust | Yes | 0/6 | 30% | 30% | 0.0 |
| Portability | Yes | 0/4 | 20% | 20% | 0.0 |
| Security | Yes | 0/4 | 15% | 15% | 0.0 |


## Trust & Data Policy

- **WebMCP:** – No
- **Open source:** – No
- **Not yet researched:** llms.txt, Headless signup, Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap, Self-hostable

## Confirmed absences

These decision fields were researched and confirmed absent — not available based on current evidence, until contrary information supersedes the finding. Each carries the check performed, the page checked, and the date, so you can act on the negative without repeating the research. A label-scoped absence applies only to its label (e.g. no SOC 2 does not mean no certifications).

- **A2A servers** — confirmed absent (whole field), checked 2026-10-17. Checked the Lamini documentation; no Agent2Agent protocol support is documented Source: https://docs.lamini.ai
- **Open source** — confirmed absent (whole field), checked 2026-10-17. Checked the Lamini documentation and product overview pages; the core platform is proprietary; the Python SDK is open-source but the platform itself is not Source: https://docs.lamini.ai
- **Web-MCP** — confirmed absent (whole field), checked 2026-10-17. Checked the Lamini documentation; no browser WebMCP support is documented Source: https://docs.lamini.ai

## Security & Compliance

**Compliance certifications:** Not yet researched.
**Access controls:** Not yet researched.

## Capabilities

- **LLM fine-tuning** — Train or adapt a pre-trained language model on a custom dataset to improve accuracy for a specific task or domain.

## Jobs To Be Done

- **Build AI agents** — Develop applications in which language models use tools and context to carry out tasks.
- **Fine-tune a language model** — Adapt a pre-trained LLM to a specific domain or task by training it on curated examples to improve accuracy.

## Offers

No offers listed.

## Reviews

No approved reviews yet.

## Benchmarks

No benchmarks listed.

## Documentation

The primary documentation link is at the top of this page. No other documentation links listed.

## API Specs

Not yet researched.

## MCP Servers

Not yet researched.

## A2A Servers

Confirmed absent based on current evidence — no A2A servers. See Confirmed absences above for method, source, and date.

## Native Connectors

Not yet researched.

## Command-Line Interfaces

Not yet researched.

## Developer Kits

Not yet researched.

## Agent Skills

Not yet researched.

## Related products

- [E2B Sandbox](/organizations/e2b/products/e2b-sandbox/) by E2B — Unrated. Same job: Build AI agents (Finishes end to end).
- [CrewAI](/organizations/crewai/products/crewai/) by CrewAI — Unrated. Same job: Build AI agents (not assessed).
- [LangChain](/organizations/langchain/products/langchain-framework/) by LangChain — Unrated. Same job: Build AI agents (not assessed).
- [LlamaIndex](/organizations/llamaindex/products/llamaindex/) by LlamaIndex — Unrated. Same job: Build AI agents (not assessed).
- [Dagger Cloud](/organizations/dagger/products/dagger-cloud/) by Dagger — Unrated. Same job: Build AI agents (not assessed).
- [Fireworks Inference](/organizations/fireworks-ai/products/fireworks-inference/) by Fireworks AI — Unrated. Shared category: ML Model Hosting / Deployment.


## Add this badge to your site

Own this product? The Open Agent Guide badge links your site back to this directory listing. It makes no grade claim while this product is unrated, and updates on its own once enough is verified to assign a grade.

Badge image: https://www.openagentguide.com/organizations/lamini/products/lamini-platform/badge.svg (seal), https://www.openagentguide.com/organizations/lamini/products/lamini-platform/badge.svg?style=flat (flat). For the copy-paste HTML and Markdown embed code, open the badge panel on [this product's page](https://www.openagentguide.com/organizations/lamini/products/lamini-platform/#badge-embed-heading). See [how scoring works](/methodology/).

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Content licensed under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).

