🚀 “Perplexity for Finance”? Not exactly. We’re building something bigger — and way more trustworthy. If you’re an investor, founder, or financial analyst, you already know this: ✅ AI tools like Perplexity are brilliant for general Q&A and real-time search. ✅ But when it comes to financial data, you don’t just want answers. You want proof — atomic facts tied to filings, gaps clearly flagged, and smart derivations you can actually trust. 🔥 This week we hit a major milestone: Our DSAIN Financial Modeling Floret now runs a fully operational dynamic fallback pipeline: 📊 Real atomic facts come from trusted sources — Edgar filings, SEC XBRL — before the system even thinks about generating expansions. 🧩 Missing facts? The floret auto-runs proxy lookups, synonyms, and only proposes GPT-derived formulas when you approve them. ⚙️ Every gap is logged. Every fallback is scored. Every data point builds our semantic knowledge graph so the system keeps getting smarter with every query. So when you ask: “What’s Tesla’s true total equity this quarter?” ✅ You see exactly which filings were found, which atomic nodes came from Edgar, and which expansions are safe estimates — fully auditable, no black box. 💡 Why this matters: No more hallucinated numbers. No more stale spreadsheets. No more wasted hours digging for line items in 10-Ks. Think Perplexity + Edgar + self-healing knowledge graph → but built for the real world of corporate filings, financial ratios, portfolio scenarios, and investor trust. ⚡ Next up: We’re wiring the SEAL self-edit loop so the floret can test and score its own derivations, learn from gaps, and keep itself honest — zero guesswork, full traceability. If you’d use an AI financial browser that actually knows what it doesn’t know — and tells you, instead of making things up — let’s connect. The Financial Modeling Floret is real, alive, and getting sharper by the day. #DSAIN #AutonomousFinance #AIAnalyst #Perplexity #Fintech #KnowledgeGraph #SEC #XBRL #OpenAI #FoundersJourney #BuildInPublic
