Product

Lamini Platform

by Lamini

Product website
https://docs.lamini.ai
Documentation
https://docs.lamini.ai
Categories
LLM Fine-Tuning Platform 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

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 12% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration0/10Trust0/6Portability0/4Security0/4Tier D0/100
Component Raw Weight Contribution
Integration 0/10 35% 0.0
Trust 0/6 30% 0.0
Portability 0/4 20% 0.0
Security 0/4 15% 0.0
Signals that fired
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, Headless signup, MCP servers, Native connectors, API specs, Command-line interfaces, Agent skills, Developer kits
  • Trust & data policy: 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
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Open source
No

Not yet researched 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

What it does

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.

    View 1 product

Jobs to be done

  • Build AI agents

    Develop applications in which language models use tools and context to carry out tasks.

    View 6 products
  • 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.

    View 1 product

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

WebMCP
No

Confirmed absent Agent2Agent (A2A) servers

Not yet researched llms.txt, Headless signup, MCP servers, Native connectors, API specs, Command-line interfaces, Agent skills, Developer kits

Offers

No offers recorded.

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • E2B Sandbox by E2B Unrated

    Same job: Build AI agents Finishes end to end

  • CrewAI by CrewAI Unrated

    Same job: Build AI agents (not assessed)

  • LangChain by LangChain Unrated

    Same job: Build AI agents (not assessed)

  • LlamaIndex by LlamaIndex Unrated

    Same job: Build AI agents (not assessed)

  • Dagger Cloud by Dagger Unrated

    Same job: Build AI agents (not assessed)

  • Fireworks Inference by Fireworks AI Unrated
    AI Inference / Model Serving ML Model Hosting / Deployment

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Ready to decide?

Unrated · 12% researched. Grade withheld until more fields are verified.

Visit Lamini Platform