FinetuneDB

FinetuneDB

FinetuneDB is an AI fine-tuning platform for building custom LLMs from your own data. Teams can create and manage datasets, evaluate model outputs with human and AI feedback, log production interactions, and run prompts in a collaborative studio.

The platform covers the full workflow from dataset creation through fine-tuning, deployment, and ongoing evaluation. You can manage multiple models and datasets in one place, trace LangChain executions, and integrate via Python/JS SDKs that extend the OpenAI SDK.

FinetuneDB also offers serverless inference for Llama and Mixtral models with pay-as-you-go pricing. Data is encrypted in transit and at rest, stored on European servers, and the company is working toward SOC 2 compliance. The platform was acquired by Opper AI but remains operational.

Top Features:
  1. Collaborative dataset editor for building proprietary fine-tuning datasets with your team

  2. Model evaluation with human feedback, automated metrics, and Copilot for output improvements

  3. Production log capture for user interactions, model responses, and LangChain execution traces

  4. Prompt studio to create, version, and compare prompts across foundation and fine-tuned models

  5. OpenAI-compatible SDK for Python and JS/TS with async logging to FinetuneDB

  6. Serverless inference for Llama and Mixtral models with per-token fine-tuning and inference pricing

Pros:
  1. End-to-end workflow from datasets through fine-tuning, deployment, and evaluation

  2. OpenAI-compatible SDK makes integration quick for existing codebases

  3. Serverless inference with transparent per-token pricing for Llama and Mixtral models

Cons:
  1. Requires separate API keys and payments to external LLM providers

  2. Free plan limited to 1 user, 1 project, and 1,000 logs per month

  3. SOC 2 compliance still in progress, not yet certified

FAQs:

Is FinetuneDB free to use?

Yes. The Basic plan is free and includes 1 user, 1 project and dataset, 1,000 logs per month, and $10 in free credits for open-source inference.

What does fine-tuning mean in FinetuneDB?

Fine-tuning trains an AI model on data specific to your use case, improving accuracy and reliability beyond generic prompt-based solutions.

What counts as a log in FinetuneDB?

A log records an LLM input and output along with metadata like user feedback, corrections, evaluation results, and model details.

Is my data secure on FinetuneDB?

Yes. Data is encrypted in transit and at rest, stored on European servers, and never shared with third parties or used to train models.

Do I need my own API keys?

Yes. FinetuneDB requires you to bring your own API key from providers like OpenAI or Anthropic. You pay those providers separately.

Category:

Pricing:

Freemium

Tags:

LLM fine-tuning
dataset management
model evaluation
production logging
prompt studio
serverless inference
OpenAI SDK

Tech used:

jQuery
WordPress
Webflow
Cloudflare
Amazon CloudFront
Google Cloud
Google Tag Manager
Google Fonts
GSAP
Python
Ruby
Typeform
LangChain
OpenAI

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