LARRY Is Now in Beta

Nobody reads all 10,000 pages.

LARRY does. 100 criteria. 4 minutes. Nothing gets missed.

At go/no-go, it shows deal killers. During estimating, scope gaps and cost drivers. At negotiation, cash flow traps — filtered by what matters to you, right now.

Run LARRY on a Project You're Bidding

Upload a bid package. LARRY runs it. You see the findings. No commitment.

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$20 billion in bids processed. In the trenches with specialty contractors every day.

Same project. Four questions.

Which one keeps you up at night?

“Should we even bid this?”

Executive / Principal

“What’s going to blow up my number?”

Estimator

“What does this do to our cash?”

CFO / Finance

“What did we just win?”

Operations / PM

Each path shows LARRY analyzing the same project — through your lens.

Your estimator has 48 hours to turn a bid. Your principal needs a go/no-go by morning. Your CFO won’t see the contract until after it’s signed. Your PM inherits whatever everyone else missed.

Same project. Different pressures. Nobody has time to read everything — and everybody’s reading for something different.

That’s the problem. It’s not that people don’t care. It’s that 10,000 pages don’t fit in a Tuesday.

LARRY reads everything your team doesn’t have time to read — and tells you what actually matters for this bid.

10,000 Pages
In 4 minutes.

Eight categories of risk. Every bid. Every time.

01

Go / No-Go Determinants

Deal killers before you invest 40 hours

02

Commercial & Contract Risk

LDs, retention, indemnity, notice windows

03

Scope & Technical Risk

Scope gaps, cross-trade ambiguity, missing items

04

Cost Drivers

Testing, cleanup, safety staffing, closeout demands buried in Div 01

05

Compliance

Prevailing wage, MBE/DBE, certified payroll

06

Schedule & Logistics

Feasibility, manpower impact

07

Project Types

Sovereign nation, unusual jurisdictional constraints

08

Stakeholder Risk

Who are we doing business with? GC reputation, architect tendencies, owner type

Every finding cites the source — page, section, spec number.

Trust but verify. Don’t tell me there’s a risk — show me where it is in the document. LARRY does. Every finding links back to the exact page. You click, you read it yourself, you make the call.

Most AI tools dump everything and let you sort through it.
LARRY doesn’t.

Risk only matters in context. LARRY knows the context.

It filters by three things:
1

What kind of risk

8 categories, not a generic “risk score”

2

Who’s asking

An estimator and a CFO need different answers from the same project

3

When in the bid

A deal killer at go/no-go is background noise during negotiation

LARRY caught a conflict between 2% and 10% ad hoc stock requirements in the same spec package — for a Division 09 client.

Two numbers, buried in different sections. Nobody noticed.

That’s not a rounding error. That’s an argument in the field. That’s finger-pointing between the sub and the GC. That’s a conversation nobody wants to have after the job is awarded.

LARRY found it before the bid went out.

Seven figures in potential savings found across beta clients.
100+

Independent criteria running concurrently — each one searches, extracts, assesses risk, and cites its source.

Built by the team behind $20 billion in construction bids.

The Moat

ChatGPT can read a contract.

01 / Historical Data

But it doesn’t know that this GC slow-pays every time. That this architect over-specs Div 09.

02 / Pattern Recognition

That your last three jobs with this owner went sideways on change orders.

03 / Institutional Memory

LARRY does — because it sits on top of RhinoDox. Bid types. Project categories. Stakeholder history.

Every project you run through LARRY makes it smarter about your business.

That’s not AI. That’s institutional memory.

Switching from Excel and Word to RhinoDox transformed our bidding process. It’s now faster, more accurate, and error-free. We can bid on more jobs with greater ease. I can’t imagine going back to the old way.

Ginger Van Drew
Senior Estimator, Big Horn Plastering

All the estimators are using the same program — makes all of our quotes similar instead of every guy has their own style.

Cameron Livesay
DGB Glass

And this AI is an extension of that.

James Conner
CS Erickson

Stop reading 10,000 pages. Start reading what matters.

Run LARRY on a Project You're Bidding

Pick a bid you’re working on. Upload the docs. See the findings before you commit.

Talk to Us