CFO Studio
AI Financial Intelligence Platform. Board-Ready in 9 Days
261 followers
AI Financial Intelligence Platform. Board-Ready in 9 Days
261 followers
CFO Studio is built on our unique Semantic Model—the data unification layer that guarantees 100% accurate, hallucination-free AI financial intelligence. It's finance infrastructure done right. For Series B-D tech CFOs who dread board reporting and messy data. ✅ Deploy in 9 days. ✅ Consolidate ERP, CRM, billing data. ✅ Get real-time, board-ready insights. ✅ On-premise security. Built by actual finance pros (Big 4, 5+ yrs FPA). Stop guessing at numbers. Start leading with trusted data.
Alright, Product Hunt! Sebastian here, absolutely thrilled to be supporting Mateusz and Michał as they officially launch CFO Studio today! 🚀
I've been watching these guys (with their Big 4 brains and FP&A battle scars) build something truly special. Tired of finance AI that hallucinates numbers like a conspiracy theorist, and deployment timelines longer than a 90s dial-up connection, they built the antidote.
CFO Studio gives you:
✅ Hallucination-free AI: Real data first, AI explanations second. No made-up numbers for your board.
✅ 9-day deployment: Yes, really. Not 16 weeks. Not 9 months. Days.
✅ Built by finance pros: Because finance tools should be built by people who actually understand a P&L.
Mateusz and Michał are here all day, ready to dive deep into any questions you have about AI in finance, rapid deployment, data security, or just how we got our sanity back after years in spreadsheets.
What's the craziest finance reporting problem you've ever faced? Let's chat!
@skajzer Congrats on the launch Sebastian! What role does human expertise play in your workflows? Is human-in-the-loop required or optional?
@skajzer @kimberly_ross Great question! Human expertise is baked into the product at multiple levels:
1. Financial models: Built by us (Big 4 alumni with 5+ years in FP&A, M&A, and fractional CFO work). These are proven workflows we've used with dozens of companies.
2. Setup & customization: We configure the platform to your specific business needs during the deployment. Your data sources, metrics, reporting needs - all tailored.
3. Ongoing support: we do regular business reviews, help adding new models, priority access when you need us.
The AI doesn't run wild - it explains numbers that our financial models have already calculated. No human-in-the-loop for every query (that would kill speed), but tons of human expertise in the foundation.
Tech To The Rescue
This is exactly the kind of AI finance infrastructure the market actually needs. I wrote about it so many times.
Fingers crossed for traction, strong case studies, and setting a new standard that others will have to catch up with ;-)
@tomik99 Thanks a lot! That's exactly why we did it - to set a new standard in using AI in finance!
SaveMyTime 3.0
Congrats! Can it generate investor-ready financial models?
@adam_janczewski1 Thanks! Yeah - we build it specifically for high-growth companies that not only need to have deep understanding of what's going on "in-house" but also can easily share that with investors!
What we did differently is that we implemented the pre-build models that we used in our 5+ experience, working with VCs and PEs.
Shotgun CLI
WOOW! Congrats on the launch guys!! 🎉
The “Semantic Model” + “hallucination-free” claim is bold (in a good way). Curious - how do you validate correctness end-to-end when data comes from multiple systems (ERP + CRM + billing), and what happens when sources disagree?
@kamila_dabrowska Thanks! Great question! That is why we built a database layer on top of data aggregation, so that every field in that database is translated into a semantic layer and then into our models, which calculate (AI doesn't do it).
Funny thing is that such an approach is inspired by how biotech research is made :)
GraphQL Editor
The product is great but something folks visiting PH could miss is that it’s truly revolutionary regarding the data processing pipeline - I mean the way it separates the key financial data from sending it blindly to LLM and then analyzing it without the hallucination risks using the financial tools and proper context. I love it 😻
@piotr_karwatka Thanks for that context :) It means a lot!
Not for now (raising seed), but looking to use it, when we grow up.
@pdziedzicz Thanks Peter for your support and fingers crossed for your startup!
@pdziedzicz We will be here for you!
So cool to be here! Can't wait for you comments and questions. 🚀