Built by a Practitioner

Anthony
Licausi

Founder of Barenberg Capital and architect of Dealithic. Two decades of compounded edge — IB practitioner and engineer in one.

10
Age when first line of code was written

Twenty-plus years of compounding technical depth — long before AI became a buzzword.

10+
Years in investment banking & M&A advisory

Hands-on across LBO underwriting, sell-side advisory, capital raises, and deal structuring — not observed from the outside.

13
IC memo modules in the underwriting engine

Every module reflects a real workflow friction encountered in live transactions, not hypothetical feature ideation.

Background

The intersection of
capital markets and code.

I started writing code at age 10. Not as a hobby — as a compulsion. The idea that you could build something from pure logic, that a machine would execute exactly what you told it, was the most interesting thing in the world to me.

That compulsion ran parallel to a career in investment banking and M&A advisory that spanned over a decade. I worked across LBO underwriting, sell-side advisory mandates, capital structure analysis, and deal origination — in markets that don't slow down for anyone.

The friction point was obvious every single day: the underwriting process was broken by bottlenecks that had nothing to do with judgment. Junior teams buried in CIM extraction. IC memos written and rewritten. LBO models rebuilt from scratch on every deal. The intelligence was there — the infrastructure wasn't.

Dealithic is what happens when you collapse the distance between the analyst who has seen the deal and the infrastructure that processes it. It's not a template engine or a prompt wrapper. It's a 13-module underwriting framework built to produce IC-ready output — LBO model, risk register, QoE, 100-day plan — from a CIM upload in minutes.

The difference between this and everything else on the market: it was built by someone who has actually sat across the table in a deal process. Every module reflects a real friction point from live transactions. The LBO model isn't illustrative — it runs your numbers. The risk register isn't generic — it's scored and prioritized.

If you've spent a decade in IB and a decade writing code, building this wasn't optional. It was inevitable.

Why It Matters

Practitioner-built.
Not consultant-designed.

01
IB Rigor, Not AI Theater
The output is structured to pass IC scrutiny because it was built by someone who has submitted to IC. Every section maps to a real underwriting question — not a generic AI writing prompt.
02
Deal Logic, Not Feature Logic
Most AI tools are built by engineers who read about finance. Dealithic was built by someone who has underwritten deals, negotiated term sheets, and presented to investment committees.
03
Speed Without Sacrifice
The engineering depth means the system doesn't just produce output fast — it produces output that holds up. LBO outputs are model-driven. Risk scoring is structured. QoE findings are deal-specific.
Career Arc

How we got here.

Age 10

First line of code written

Compulsive early start — two decades before this became a trend.

Early 2010s

Entered investment banking

M&A advisory, LBO underwriting, capital markets. Real transactions, real pressure.

Mid 2010s

Decade of deal flow across LMM + growth

Sell-side mandates, buy-side underwriting, debt advisory. Built a mental model of where process breaks down.

2020s

Began systematizing the underwriting stack

First versions of what would become Dealithic — internal tools, then productized.

2026

Dealithic — beta launch

Institutional IC memo generation, LBO modeling, and deal intelligence. Built for sponsors who move on conviction.

Get Access

Ready to see it in action?

Upload a CIM and get a full IC memo — LBO model, risk register, 100-day plan — in minutes. Beta access is by invitation.