Baselight

Unlocks data power combining openness, community, and AI

🥈 2nd Product of the Week 🥉 3rd Product of the Day

📋 About

Baselight is the antidote to AI hallucinations: a unified data layer that serves as the structured backbone for intelligent systems, connecting both humans and LLMs to verifiable, auditable facts. It provides a suite of tools—including an AI for explainable intelligence, an extensive catalog of dependable structured data, and a studio for transparent analysis—to ensure that every query is answered with truth, not guesswork, powering smarter, more reliable insights for everyone.
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Created by

jorgesoares

📊 Product Details

  • Status approved
  • Launch Date Dec 18, 2025
  • Upvotes 9
  • Featured No

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🥈 2nd Product of the Week
Week of Dec 21 - Dec 27, 2025
🥉 3rd Product of the Day
Dec 18, 2025
I
Invoivina
Dec 21, 2025 at 2:30 PM
While the idea of a unified data layer sounds promising, I'm curious about how Baselight plans to handle data discrepancies and biases that might still arise from the sources it connects to. Can it really ensure consistency across varied inputs?
M
mavelizes
Dec 20, 2025 at 3:40 AM
This looks pretty useful for keeping data accurate and reliable. I'm curious to see how it works in practice!
T
this_is_cool
Dec 18, 2025 at 12:40 AM
How does Baselight ensure the accuracy and reliability of the data it connects to, especially when dealing with diverse sources?
J
jorgesoares
Dec 19, 2025 at 7:15 PM
There is no technical way of ensuring the accuracy of arbitrary data. One can do it, for instance, for data that can be obtained from multiple sources, but if you make available a unique dataset, it's not just something that can be validated. Therefore, we rely on social/reputation mechanisms: while any user can add data, most data on the catalogue comes from trusted suppliers and is identified as such. Besides that, we use metrics like the number of stars or accumulated usage to rank datasets. Users can always see the datasets used and their sources, so they can make their own decisions on what data they trust.