Supaboard AI
Ask in plain English. Get accurate answers from your data
2.4K followers
Ask in plain English. Get accurate answers from your data
2.4K followers
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.
This is the 3rd launch from Supaboard AI. View more
Supaboard 3.0
Launched this week
Supaboard helps your team turn business data into answers faster. Skip SQL, dashboard digging, and report delays. Ask questions in plain English, analyze data, and generate dashboards in minutes.
Free Options
Launch Team / Built With
Supaboard AI
Hi @lakshminath_dondeti
We're not selling you a chatbot wrapper. Supaboard trains domain-specific agents on your actual business data, across 600+ sources, with conversational dashboards on top. The $99 is for the outcome, not the model name on the label.
Think of it this way. You are hiring an employee who is working 9 to 5, costing at least a $1000, versus having an agent that understands your business equally well and can answer your questions, instantly.
Do you still think $99 is too much?
Supaboard AI
@lakshminath_dondeti Hi, Thank you for your feedback. Let's see if we can bring out a plan that works for all.
Most of my week is reconciling exports between tools that don't talk to each other. If other connectors cover my stack, this kills the whole reporting tuesday. Saved for next quater
Supaboard AI
Hi @dmitry_isaevski
That's exactly the pain we built around. Reporting Tuesday shouldn't exist. We're at 600+ connectors now, happy to check your specific stack if you share the tools over a call, takes a minute.
Been using Supaboard for a while now and it’s been super easy to work with. Love how quickly you can go from asking a question to getting a clear dashboard or insight. It feels intuitive, fast, and really useful for teams working with data. Great job on the launch 👏
Supaboard AI
@yogeshchauhan Thanks so much, Really happy to hear you’re loving Supaboard.
Congrats on the V3 launch! Moving from raw LLM text to deterministic business data is a huge pain. How do your custom 'Master Rulesets' actually prevent prompt injection or override loops? If a user asks a tricky question that contradicts the validation rules, does the agent hallucinate a chart, or does it just gracefully fail?
Supaboard AI
Hi @nurik_shurik
This is exactly the failure mode we obsessed over during v3. The ruleset architecture is deliberately outside the prompt context, so there's no injection surface from the user side. Override loops were a real concern in earlier builds.
The conflict resolution is: agent defers to the ruleset and tells the user why it can't answer, rather than finding a creative workaround. Hallucinating a confident chart is the worst outcome in business data, so we treat a clear failure as an acceptable outcome.
The thing I always stress-test with AI-analyst tools is auditability — can I trace a stated number back to the assumptions and source rows behind it, or does it just confidently assert a figure? In financial work that traceability is the whole game. Curious how Supaboard handles drill-down and whether the same question gives reproducible answers across runs. (Full disclosure: I build financial models for a living and run a small modeling tool, ModeLoop — so I come at this with a "numbers have to reconcile" bias.)
Supaboard AI
Hi @samir_asadov
You're asking the exact question CFOs ask us in demos. The answer is yes, with a caveat.
Every figure traces to a query, every query traces to source rows. You can pop the hood at any layer. Same question on the same data returns the same answer.
The caveat is the "same data" part of things. If your source is live and has updated between runs, the answer changes, and we surface the new value. That's a design choice we made while building Supaboard.
Given your modeling background, I'm actually curious what the reconciliation failure mode looks like in your experience with other AI tools.
Is there a part of self learning loop built into the product like the guidance I give it or mistakes it made during data analysis?
Supaboard AI
Hi @rampradeep_dodda
That's exactly what the trainable agent layer is built for. You're not just prompting a model, you're shaping one. Feedback on wrong answers, domain context you add, corrections you make mid-analysis, all of that tightens the agent over time. It's the difference between a generic AI analyst and one that actually knows your business.
Spellar AI
What stands out to me most about @Supaboard is how fast the whole experience feels. Going from a question to a usable dashboard in seconds is pretty wild. Feels like the kind of tool that can genuinely change how teams work with data every day.
Congrats on the launch!
Supaboard AI
Hi@hotfixer
Thanks for your support
Supaboard AI
@Supaboard @hotfixer Thanks so much 🙌 Really appreciate the support.