Supaboard - Ask in plain English. Get accurate answers from your data
Ask questions in plain English. Get accurate, actionable answers from all your business data, no SQL, no waiting. Supaboard connects to 600+ data sources and gives your team the power to analyze, decide, and act instantly. Our built-in agents apply your business logic, so the answers you get are not just smart, but right.
Fully governed. No data leaks. No technical skills required.
Business intelligence, finally for everyone.
Replies
Supaboard AI
@ayush_pratap_singh2. Glad you liked it! Yes, absolutely - we’re planning to add even more integrations over time.
Right now, we support 700+ data sources, and we’ll be launching more templates and ready-to-use reports soon( so many exciting features are coming up ) that will help teams make data-driven decisions even faster.
This is compelling. BI usually breaks down at the context layer, not the data layer. A trusted business logic layer that agents can reason over could finally make self-serve analytics actually reliable. Curious how Supaboard handles metric governance as teams scale.
Love this approach. A lot of BI tools fail not because of data quality, but because teams don’t share definitions or trust the logic behind the numbers. Making business context a first-class layer, not an afterthought, feels like the right direction. Congrats on the launch
Supaboard AI
@stephen_babatunde Thanks for checking us out! Building trust among users has been a top concern for us since the beginning. Business logic, is really an important part for determining the success for a great BI tool and we have put in huge efforts on making sure our tool understands the business context well, before giving the user any insights!
This looks really interesting. Quick question on privacy & security - how do you handle data isolation and access control, especially when connecting to multiple data sources? Do you store customer data or use it for model training in any way?
Supaboard AI
@stevie_y
Thanks for asking! We take data security seriously. Here's how we keep your data safe:
SOC 2 & HIPAA compliant: Fully audited for industry-leading standards.
Zero data storage: We analyze your schema (e.g., table headers) for context and mapping, then query your DBs/DWs in real-time—no data is stored.
Read-only access only: You're always in full control and can disconnect anytime.
Metadata storage: Store schema metadata in the USA, Germany (EU), or India (Asia); delete it anytime.
Encrypted credentials: DB credentials and SSH keys protected with AES-256 encryption.
Tonkotsu
Congrats on the launch! Sometimes I need a deep analysis in a report, not just a single metric or factoid. Curious if that's on your roadmap?
Supaboard AI
@derekattonkotsu Hey Derek! Thanks for the question, Yes, our tool has a deep dive mode that does root cause analysis for your queries . This provides the you with all necessary metrics, KPIs, Charts & Tables (as applicable) that are ready to be added to your dashboard! Do check out our product in depth and let us know how you use it!
Supaboard AI
@rbluena Thanks a lot for your wishes. Please let us know what you like and what we can improve
NewOaks AI
Great product for supabase alternative!
Supaboard AI
@ray_luan Thank you for your support
Migma AI
The "100% accuracy" claim is bold - I like it! How does the remap feature handle it when business definitions change (like "active user")? Does it auto-detect or need manual intervention?
Impressive work!
This hits a real pain — most “AI BI” tools ignore business logic and just spit numbers. Plain-English queries with governed context feels like the right direction. Curious how teams handle evolving definitions over time.
Supaboard AI
@allinonetools_net Great thought, Bhavin, yes, Business Intelligence should evolve in the same manner as other categories are evolving, our entire team is working to make this a success
Congrats on the #1 launch 👏
Asking questions in plain English with business logic baked in is the real unlock — most AI BI tools fail exactly there.
Curious: how do your agents handle edge cases where different teams define the same metric differently (e.g., revenue or active users)?