
Langfuse
Helicone AI
LangChain
Portkey
Braintrust
Braintrust.dev
Arize Phoenix
Build and deploy LLM applications with confidence

Olas
Per business operation, how much of a company runs without a human in the loop - with the evidence behind every number, including what could not be measured.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | langchain.com | provek.dev |
| Pricing | β | |
| Platforms | β | |
| Company | β | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of LangSmith yet.
Provek measures how much of a business runs without a human in the loop. It looks at each business operation on its own and assigns it a level from evidence, not from what the company claims. Every result is a public passport. It shows the evidence behind each number and says plainly what Provek...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
LangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.
No analysis of Provek.dev yet.
Walkthroughs and reviews on video.
π¦π οΈ Getting started with LangSmith - Integrating with LANGCHAIN powered Web Applications & Chatbots
Two robots argue about whether one of them can prove what it is. The second one checks the passport before it pays.
How often each product is chosen within a category, 0β100% relative to the other.


As answered by people managing LangSmith and Provek.dev.
Provek.dev's answer:
Anyone can write "AI-powered" on a landing page, and nobody can tell that apart from a business that machines actually run. I wanted a way to check the claim per operation, with the evidence in the open and the method public. Provek is the result. It works as an ERC-8004 validator: the standard gives identity and transport, and the methodology is ours.
Provek.dev's answer:
Python for the measurement and registry, TypeScript with Preact and Vite for the site, Tailwind CSS, Cloudflare Pages for hosting, and ERC-8004 for identity.
Provek.dev's answer:
Provek scores each business operation on its own, from L0 to L5, and never gives one number for the whole company. Evidence is ranked by how hard it would be to fake. When Provek cannot measure something, the passport says why instead of writing a zero. The method is public, so anyone can recompute a verdict from the same inputs.
Provek.dev's answer:
Most claims about AI-run businesses are a line on a landing page. Provek checks them from the outside, anonymously, and shows the evidence next to every number. It also shows its own gaps. If you want a claim you can check, that matters more than a badge.
Provek.dev's answer:
Founders who run parts of their business with AI agents and want a public, checkable record of it. Also buyers, partners and investors who need to tell a real automated operation from marketing copy.
Share your experience with using LangSmith and Provek.dev. For example, how are they different and which one is better?
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