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LangWatch VS Datumo Eval

Compare LangWatch VS Datumo Eval and see what are their differences

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LangWatch logo LangWatch

Build AI applications with confidence

Datumo Eval logo Datumo Eval

Discover Datumo Eval, the cutting-edge LLM evaluation platform from Datumo, designed to optimize AI model accuracy, reliability, and performance through advanced evaluation methodologies.
  • LangWatch
    Image date //
    2024-04-05

Companies of all sizes are investing in building new tools or improving their current toolstack with the use of AI. They want to be in control, avoid sensitive data leakages, misuse of the tool or brand reputational damage. Langwatch analyzes your AI solutions, evaluates the quality, prevents AI risks, and helps you improve and ship with confidence.

  • Datumo Eval
    Image date //
    2024-12-05

The only LLM-based synthetic dataset-building and evaluation platform. Automatically generate golden question sets using high-quality default or custom metrics. Evaluate and enhance your LLM models and LLM-powered services with Datumo Eval.

LangWatch

Website
langwatch.ai
$ Details
freemium €99.0 / Monthly
Platforms
Azure Openai
Release Date
2024 January
Edit details

Datumo Eval

Website
datumo.com
$ Details
freemium
Platforms
SaaS
Release Date
2025 January
Edit details

LangWatch features and specs

  • Safeguard your AI
    We control your AI with our safety checks through guardrails that prevents jailbreaking, off-topic conversations, sensitive data leakage and brand reputational damage.
  • Analyze and improve
    Our real-time insights help you track user feedback, conversion, output quality, and knowledge base gaps.
  • Ship with confidence
    Test different models and prompts, improve existing and new datasets and ship new versions of your AI tool without breaking it.

Datumo Eval features and specs

  • Datumo Eval
    LLM Evaluation Platform

LangWatch videos

+ Add

Getting Started with Optimization Studio

More videos:

  • Demo - LangWatch LLM Optimization Studio

Datumo Eval videos

No Datumo Eval videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to LangWatch and Datumo Eval)

LangWatch

Datumo Eval

AI
44 44%
AI
56% 56
Developer Tools
100 100%
Developer Tools
0% 0
LLM
20 20%
LLM
80% 80
AI Tools
0 0%
AI Tools
100% 100

User comments

Share your experience with using LangWatch and Datumo Eval. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, LangWatch seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

LangWatch mentions (1)

  • Scaling from a Billion to a Million to One
    When I started LangWatch, I had a crystal clear development vision for it in mind, I had been through it all, from starting my first business and entangling myself in code so messy I couldn’t move any longer (and therefore losing money and sleep), to working on a consultancy with perfect TDD, pairing and couldn’t-be-more-refactored codebase (sleeping, oh, so well!), to incredibly messy code again this time done by... - Source: dev.to / 4 months ago

Datumo Eval mentions (0)

We have not tracked any mentions of Datumo Eval yet. Tracking of Datumo Eval recommendations started around Dec 2024.

What are some alternatives?

When comparing LangWatch and Datumo Eval, you can also consider the following products

AssemblyAI - Robust and Accurate Multilingual Speech Recognition

Braintrust - Braintrust connects companies with top technical talent to complete strategic projects and drive innovation. Our AI Recruiter can 100x your recruiting power.

Athina AI - Athina helps developers to build reliable LLM applications.

Braintrust.dev - Rapidly ship AI without guesswork

LLM Prompt & Model Playground - Test LLM prompts & models side-by-side against many inputs

LangSmith - Build and deploy LLM applications with confidence

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