SocraticsAI

Trusted financial models from raw Excel & PDF financials in minutes.
Built for accuracy, not prompts and crossed fingers.

[SocraticsAI @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.

https://t.co/WpRJPGTKsK

[SocraticsAI @SocraticsAI]

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.

[SocraticsAI @SocraticsAI]

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.

[SocraticsAI @SocraticsAI]

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.

[SocraticsAI @SocraticsAI]

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.
https://t.co/4tqUUl1JFr

[SocraticsAI @SocraticsAI]

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.

[SocraticsAI @SocraticsAI]

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?"

[SocraticsAI @SocraticsAI]

It's one of the first things we tackled at Socratics because this is exactly where silent errors get introduced.

Comment "LTM" and we'll walk you through how we handle it.

[SocraticsAI @SocraticsAI]

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.

[SocraticsAI @SocraticsAI]

Done under deadline pressure by someone who's never seen the company before.

The output looks clean. The construction often isn't.

[SocraticsAI @SocraticsAI]

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 →

[SocraticsAI @SocraticsAI]

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: : https://t.co/GOZYZocybh

[SocraticsAI @SocraticsAI]

Two years of financials. Two different charts of accounts.
Most teams reconcile them manually. Hours of work, errors nobody catches until the model is already built.
Socratics Compose does it in under a minute.
DM us if you want to see it on your own files.

[SocraticsAI @SocraticsAI]

Everyone is asking: will AI replace analysts?

Better question: what does AI fix first?

Answer: the intake layer. Where raw financials enter the deal workflow. Still manual. Still where most errors are introduced.

AI that speeds up analysts is useful.

AI that cleans the foundation before analysis starts is structural.

That's the distinction that matters.

[SocraticsAI @SocraticsAI]

The hardest part of financial modeling isn't the model.

It's what comes before it.

Normalize line items. Reconcile periods. Handle multiple entities. Reconstruct LTM. Make the statements tie.

None of it appears in the final output. All of it determines whether the output is right.

That's the layer Socratics handles.

Comment "model" and we'll show you what it looks like.

[Tim Eun @timsfbay]

The dangerous part: it's never escalated. Never tracked. It just silently compresses the time available for actual judgment.

The model gets built. The memo goes out. But the foundation was rushed, and no one knows exactly where.

That's what keeps me thinking about this.

[SocraticsAI @SocraticsAI]

PE used to compete on capital access. Then deal flow.

Now the edge is throughput.

Firms screening 3x more deals with the same team aren't working harder.

They've stopped treating data prep as manual labor and started treating it as infrastructure.

That's the shift. That's what we're building for.
→ https://t.co/4tqUUl1JFr

[SocraticsAI @SocraticsAI]

Model finished at 11pm.
By midnight, 3 people were already asking:
“Are these numbers right?”
Nothing was wrong.
No one could trace them.
That’s the real cost in private markets.
Not building the model — defending it.
Re-checking line items.
Explaining assumptions.
Rebuilding trust in outputs that were technically correct.
The best teams don’t just move faster.
They produce models that don’t need defending.
That’s the bar.

[SocraticsAI @SocraticsAI]

Private company financials are chaos.

Different charts of accounts. Inconsistent exports. Statements that don't reconcile.

This is Socratics Compose, it cleans all of it automatically, then lets you chat with your data to find anomalies before you've even touched a model.
130% revenue spike flagged in seconds. That used to take hours.

Want a walkthrough on your own files? Request a demo.

[Tim Eun @timsfbay]

Most people think AI will replace financial modeling.

It won’t.

It’s changing how models are built:
Clean inputs
Standardise structure
Reconcile inconsistencies
Validate outputs

The real unlock isn’t automation — it’s trust.
And that’s exactly where Socratics focuses.