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The Ghost in the Machine: How Solid drastically accelerates semantic model generation
The typical midsize enterprise has over 100 semantic models, some distinct some partially overlapping. Documenting those by hand is a fool's errand…
Oct 1
•
Tal Segalov
2
September 2025
Stop saying "Garbage In, Garbage Out", no one cares
We recently ran a small poll on LinkedIn asking people what are the main blockers for GenAI for analytics - looks like there are many - but still, no…
Sep 24
•
Yoni Leitersdorf
1
5
AI for AI: how to make "chat with your data" attainable within 2025
Since June 2025, Snowflake and Databricks customers across the globe are considering "AI-driven self-service analytics" to be a top priority. There's a…
Sep 17
•
Yoni Leitersdorf
2
The Two Souls of a Semantic Layer: A Tale of Governance and Insight
Semantic layers are in vogue again, but this time for a different reason. Tal Segalov, Solid's CTO and Co-Founder, explains the relationship between the…
Sep 10
•
Tal Segalov
3
August 2025
Behind the scenes: how we think about semantic model generation
Our feature specs generally have a back-story - an explanation of why we want to build this feature, right now. Tali, our VP of Product, shares the…
Aug 27
•
Tali Hirsh
1
Nearly 100% error rate: our first major outage
Alon Ashkenazi, Solid's VP of Engineering, takes us through Solid's first major outage.
Aug 20
•
Alon Ashkenazi
2
When users don't chat with your chat: solutions to help AI help people (Part One)
Maya and Oren, Solid's VP of Research and Senior Data Scientist, take us through what Solid does to help users give it the information it needs to help…
Aug 13
•
Maya Bercovitch
and
Oren Matar
1
Your Data's Diary: Why AI Needs to Read It
Tal Segalov, Solid's Co-Founder and CTO, shares insights on how to leverage AI to help make the vision of "AI for Analytics" a reality. This post…
Aug 6
•
Tal Segalov
1
July 2025
We found Urgency... or maybe, it found us?
The last few months something material has changed in our traction - we found the urgency every startup seeks. The spark that starts the fire. You can…
Jul 30
•
Yoni Leitersdorf
2
GenAI is consistently inconsistent, but is that a problem?
Until GenAI came around, we were all used to determinism in our interaction with computers. Same input, same output. Not with GenAI. Those building apps…
Jul 23
•
Yoni Leitersdorf
1
"Sorry for the mess" - everyone's data is messy, and it's Okay
Our CEO & Co-Founder goes into why everyone's data is (partially) a mess, and no one has good documentation, and still AI can make sense of it
Jul 16
•
Yoni Leitersdorf
1
2
How Solid keeps a close eye on its AI, with LangSmith
Last week, we shared details of our move to an Agentic Platform. Today, we're sharing how we're using LangSmith to continuously improve its performance…
Jul 9
•
Maya Bercovitch
and
Alon Ashkenazi
1
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