February 20, 2026
SurveyMonkey is scaling AI across the enterprise - without compromising trust. See how they partnered with Solid to standardize business logic, improve AI accuracy, and move from experimentation to production with confidence.
AI can only deliver value if it understands enterprise data. Join our webinar to learn why inconsistent definitions and fragmented business logic create problems for AI - and why many organizations are still struggling to make AI reliable.
Solid publicly launches to help enterprises make AI reliable at scale. Alongside a $20M funding round, Solid gives AI a trusted, continuously updated understanding of business data - enabling accurate answers, scalable workflows, and AI systems that can move from pilots into real production.
The bots are here to take our jobs? Tal Segalov, Solid's CTO & Co-Founder, thinks otherwise.
Yoni sat down with Glen McCracken, CPTO at Lantum, to talk about separating AI hype from reality, creating “pull” for AI from the front lines, and why the hardest AI problems are rarely technical.
With English becoming the new programming language, Tal shares lessons on how to make vibe-coding actually work for enterprises.
In this post, Reut Leibovich Blat, Solid’s Senior Product Designer, demonstrates how to eliminate the manual handoff between our Product Designers and Front-end Engineers.
Most “chat with your data” and agent+data tools are Black Boxes: they hide how they use your warehouse, how they analyze results, and why they take certain actions. At Solid, we believe that's bonkers
For the last few years, we’ve been living in the era of the LLM.
2026 will be the year data and business analysts become semantic engineers
Can an AI Agent handle a messy schema and a live Snowflake connection, or will it crash and burn? We test Google Antigravity against the ultimate stress test: An urgent executive request.
An honest, hands-on comparison of Tableau Public, Gemini + Colab, Julius AI, and Cursor for a real-world data analysis task.
Yoni, our CEO, sat down with HiBob’s VP of Data, Reut Einav, to talk about migrating an entire data foundation in six months, empowering 2,000 people to build GPTs, and why “No AI can fix bad data."
Tal Segalov, Solid's CTO & Co-Founder, discusses the trends he predicts for 2026, coming from Solid's work with leading enterprises all over the world.
Rolling out AI that learns your data is less about switching on features and more about teaching a new teammate, together.
Yoni, our CEO & Co-Founder, sat down with Joel Hron, CTO at Thomson Reuters, to talk about agents as an operating system, how to evaluate AI in high-stakes legal and tax workflows, and much more
In this post, Tal Segalov, Solid's CTO & Co-Founder, takes us through a challenge in modern data - the lack of a rigid schema for AI to learn off of.
With many years of product leadership under her belt, Tali took on the product discovery in full force when she joined in August 2024. Today, she shares valuable lessons on how to do this well.
A studio conversation with Checkr’s Ilan Frank about starting from pain, earning trust, and why adding AI led to hiring more people
Over recent months, Yoni noticed a trend occurring: more and more enterprises are thinking about building a single interface for anything an employee needs. Today we unpack how that looks like.
Yoni Leitersdorf recently hosted Tomasz Tunguz on his podcast, to discuss building real agent systems, why “unified tools” beat tiny ones, and the investment theses emerging from the friction
We often get asked how an end-to-end flow would look like for the generation of semantic models through Solid. In this post, we'll take you through that process.
Yoni, our CEO & Co-Founder, recently sat down with Meenal Iyer, VP of Data at SurveyMonkey, to discuss her team's AI journey. The conversation was enlightening - covering the journey through '23-'26.
The typical midsize enterprise has over 100 semantic models, some distinct some partially overlapping. Documenting those by hand is a fool's errand. Tal, Solid's CTO & Co-Founder, shares our solution.
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 one in the business cares
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 ton of excitement, but also hurdles.
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 new semantic layer and the old one.
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 back-story we've used recently for one such case.
Alon Ashkenazi, Solid's VP of Engineering, takes us through Solid's first major outage.
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 the user be more successful.
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 includes the why, and how, of doing this.
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 FEEL it.
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 around GenAI need to deal with it.
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
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 via deep observability.
Solid recently made the switch to an Agentic Platform and the company's VP of Research and VP of Engineering share why and how.
Tali Hirsh, Solid's VP of Product, recently attended the Snowflake Summit in San Francisco. It was quite eye-opening.
Tal Segalov, CTO & Co-Founder at Solid, shares a unique invention which will drastically expand the value of semantic layers.
For a limited time, Solid is offering a free, full documentation of your data warehouse and BI assets. The output can be used by both humans and machines (AI). Yoni, our CEO, shares the details
With all of the vibe analytics, Text2SQL and AI for Analytics out there, people are thinking that BI's days are numbered. Yoni Leitersdorf, our CEO & Co-Founder, begs to differ.
With the increase in development of GenAI functionality within SaaS products, the need to do evals has grown in prominence. Maya, our VP of Research, Oren Matar, DS on her team, share how we do it.
Most data catalog projects fail. One of the main causes is the need for Data Stewards (humans) to continuously catalog the data. Semantic layers are falling into the same trap.
A weird light bulb went off in our minds recently as we've dug into Text2SQL in our customer conversations
Since February 2025, vibe coding is everywhere. Of course, we focus on data and analytics here, so a natural question comes to mind: is Vibe Analytics the next thing in data?
As we continue to "break the black box", Tal Segalov, Solid's CTO and Co-Founder, walks us through the improvement on the RAG/search side.
Sharing the uncomfortable truth about solutions that improve the efficiency of individual contributors.
There's a lot of talk about how AI can allow BI-like functionality given a robust semantic layer. That's great, but how do you get to a robust semantic layer?
Those who were born before 1990, probably remember the first moment they saw the Google Search box. The paradigm shift is upon us again.
Zack Martin leads the GOATs community of analysts. In his debut post on this blog, he shares what drove the creation of the community and its future plans. The community is off to an impressive start!
Maya Bercovitch, Solid's VP of Research, sheds light on the evolution of Solid's chat from a simple Azure implementation to a multi staged complex flow.
Last week our team participated in the Gartner D&A Summit in Florida. They came back with many insights - a few of them around the adoption of AI in the enterprise.
Solid's CTO & Co-Founder, Tal Segalov, makes the case for enterprises' embrace of startups to keep up with the breakneck pace of AI innovation.
D&A is here to serve the business... and to be successful, it must align to it. In this post, Yoni, our CEO & Co-Founder, will share insights from a deep conversation with a D&A leader on this matter.
Putting together human and machine intelligence for better analytics workflows
Across 180+ conversations with D&A leaders and business stakeholders, we've uncovered an interesting model that can help focus the investment in analytics for business benefit
Solid's VP of Product, Tali Hirsh, reveals the formula that helped transform Solid's go-to-market strategy into a scalable success story.
Solid's VP of Research, Maya Bercovitch, shares our experience using Azure's AI services for the first iteration of the Solid platform
There's an incorrect perception that noise in data analytics is mainly caused by noise in the data... apparently, that's not true. Solid's CTO & Co-Founder, Tal Segalov, explains.
What can CDAOs learn from CISOs on the journey to C-level stardom
Two decades ago, IT security professionals were overlooked and under appreciated. Today, they’re indispensable leaders in the C-suite. Could Chief Data Officers be next?
The AI craze has caused many to imagine the potential for a data chatbot - allowing business stakeholders to chat with their data without needing an analyst. Let's evaluate its success so far.
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