SocraticsAI

A QoE platform needs four things to actually work. Deterministic math. Build-states on every figure. Gated partner sign-off. QoE-specific methodology. Each exists somewhere. No platform has all four. That is the gap Socratics occupies. socratics.ai/request-demo

Most QoE risk enters on the buy side. But the data problem starts on the sell side. Inconsistent periods. Undocumented adjustments. Statements that don't reconcile. The buy-side team inherits all of it under deadline pressure. Socratics prepares financials on the sell side before they go to market. Clean inputs before the buyer finds the problems.

The best analysts interrogate data. They find what doesn't look right before it becomes a problem downstream. The Socratics Compose AI agent lets your whole team do that. Ask it anything about the statement. Anomalies surfaced. Trends flagged. Understanding built.

Most AI deal tools reset after every deal. At Every number in a QoE bridge should know exactly where it came from. The document. The page. The row. The analyst. The sign-off. At Socratics, every bridge line is linked directly to its source. Remove a document and every dependent finding gets flagged automatically. One audit trail. Nothing deleted. Every version reconstructible.

Most QoE tools process whatever financials they receive. Nobody checks the basis of accounting. Cash basis revenue is not accrual revenue. Apply an EBITDA multiple without adjusting and you are overstating enterprise value from line one. The model looks right. The error is in the foundation. Socratics detects this before normalization begins. socratics.ai/request-demo

Everyone is racing to build AI that generates models faster. Nobody is racing to make those models trustworthy. Speed is table stakes. The hard problem is building trusted financial infrastructure underneath the model. Fast demos get attention. Trusted outputs get adopted. That's what we're building at Socratics.

There's a version of AI in finance that makes you faster. And a version that makes the work defensible. Those aren't the same thing. Faster gets you to an answer sooner. Defensible means you can trace it, explain it, and stand behind it. Deals don't go sideways because the model took too long to build. They go sideways because a number was wrong and no one caught it. The real question isn't "how do we move faster?" It's "how do we move faster without losing the integrity that makes the output usable?"

LTM construction is one of the most manual steps in any deal workflow. Stub periods. Seasonality. Management accounts that don't tie to audited statements. Judgment calls that go undocumented.

Raw files in. Audit-ready financials out. Under 5 minutes. That's Socratics Compose. Merge → Audit → Chat with your data → Model. No manual cleaning. No surprises downstream. Comment if you want to see a walkthrough →

A model is only as trustworthy as the numbers behind it. Socratics Compose verifies every total against your original source data, automatically. The difference between a model your IC trusts and one that gets questioned in the room. Book a demo: : socratics.ai/request-demo