AI · alternatives · 2026
24 alternatives to Valyu
AI Training Data Provenance & Licensing Platform
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Valyu launched in 2024; newer entries below may have overtaken it.
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Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
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Build the semantic layer that makes AI analytics trustworthy
Mar 2026 · metabase.com · its alternatives →
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Gen AI tools for factual, source-based, & up-to-date content
2023 · its alternatives →
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Open source tool for testing & validating your model & data
2022 · github.com · its alternatives →
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A couple of months ago, we left our jobs to build UpTrain AI, an open-source machine learning observability and refinement tool which helps users understand the performance of their models in production and improves them over time by identifying problematic data-points for retraining. Data drift, Distribution shifts, Model degradation, Edge cases - we have personally faced these problems in our previous organizations and have built a lot of tooling to solve them. We are building UpTrain so that others don’t need to build them and can solely focus on improving their ML models while we…
2023 · github.com · its alternatives →
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Vouch API▲96AI equity research that proves it isn't lying
Apr 2026 · vouchapi.com · its alternatives →
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AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards - metabase/dataset-generator
2025 · github.com · its alternatives →
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Yeah, there's AI, but I added it because I found it easier to find answers I'm looking for. For the data scientists, you can download the CSV and go crazy. Would love to know what discoveries or learnings can be found from it. To download the raw scraped data you need to become a paid member but you don't really need it unless you're wanting to finesse a table of data for a particular need. The cost is mostly just an incentive to help me pay the bills for running the website. The bunch of available CSV files contain large amounts of data which has everything from tags, genres, pricing,…
2025 · gginsights.io · its alternatives →
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All-in-one data annotation platform for machine learning
2019 · its alternatives →
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Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
2025 · metabase.com · its alternatives →
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Read expert insights on synthetic data, data privacy, and modern software testing. Explore articles from Tonic.ai’s AI engineering team.
2022 · tonic.ai · its alternatives →
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Arionis▲3LATAM's largest AI Data Licensing Infrastructure
May 2026 · arionis.tech · its alternatives →
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AI You Own Owned Intelligence. Built for Enterprise. The open infrastructure, tools, and expertise to build AI your organization actually owns, not rents. T ...
2019 · openteams.com · its alternatives →
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Smarter synthetic data for smart software testing and AI.
2022 · mostly.ai · its alternatives →
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🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai
2022 · github.com · its alternatives →
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120+ curated AI tools that actually work 🚀
2025 · genaimarket.vercel.app · its alternatives →
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Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
2025 · github.com · its alternatives →
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Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…
Jan 2026 · its alternatives →
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On-brand AI work that has to prove it is ready to ship
Jul 2026 · corristonconsulting.com · its alternatives →
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Review and approval for work made by AI agents. Fair Source, self-hostable, and MCP-native. - derive-to/derive
Aug 2026 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →