Basedash is the AI-native Business Intelligence platform that lets you create dashboards and understand your customers using natural language. Connect your data, describe the chart you want, and let AI generate the visualization. No SQL required.
This is the 19th launch from Basedash. View more
Basedash Semantic Layer
Launching today
The Basedash semantic layer lets teams create reusable SQL metrics and models that AI can reference across chat, charts, dashboards, insights, and automations.
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Launch Team / Built With
Basedash
@maxmusing Congrats on the launch. Just a short question: when the AI uses your sematic layer definitions, how does it handle edge cases where the same metric might need slight variations across different contexts, say currency conversions, time zones or business units?
Basedash
@swati_paliwal thanks! The metrics in your semantic layer act as a base, and you can easily tweak them for your specific needs when building reports. Just ask the AI “convert this to CAD for our Canadian client” and the AI will handle the variation for you.
This feels practical for BI. AI can help people ask questions faster but the important business metrics still need one agreed definition. I like the idea of defining smth like MRR or activation rate once, then letting AI reuse that same logic everywhere. How do you handle cases where diff teams define the same metric slightly differently?
Basedash
@ada_johnsen great question. Each team can (optionally) have their own set of metrics, and you can even define a metric using another team’s metric as a base. We support team-level AI context to teach the AI exactly how your team works.
Semantic layers seem straightforward until different teams start defining the same metric differently.
Have you found the technical challenge is the easy part, and the harder problem is getting organizations to agree on shared definitions in the first place?
Basedash
@samyak_sanklecha we’ve found that most great companies have centralized teams responsible for defining these kinds of metrics for the other teams.
Basedash
Wanted to add the why behind this one!
People love what AI does with their data right up until the AI gets something wrong. Which happens all too often with other tools, unfortunately.
That's why we're so focused around better context for AI agents, and why we think we're building one of the most accurate data agent platforms in the world today. Definitions take that even further. The metric gets written once, reviewed, and the AI reuses that exact SQL every time it touches it. So when finance and the AI both report revenue, it's the same revenue.
Give it a spin and tell us where it breaks :D
Basedash
@kris_lachance context is all you need
Mailwarm
Congratulations on your launch. I like the idea.
Basedash
Thanks @thamibenjelloun!