Private Beta — 2 Spots Remaining

Total operational control.
Maximum profit recovery.

Weaponized intelligence for heavy civil. Our AI calibrates to your specific crews and cost codes—getting smarter with every yard of dirt you move. Catch ghost change orders, auto-generate pay apps, and defend your margins.

AMPLIS Engine

Designed specifically to replace legacy systems

HCSS HeavyJob

Procore

PlanSwift

Viewpoint

The Problem

Why civil contractors are leaving generic software.

Generic GC Software

  • Charges a "Volume Tax," punishing you for growing your revenue.
  • Forces guys who move dirt to navigate 5 layers of dropdown menus to log time.
  • Built to organize PDFs, not to track cubic yards or catch lost margins.

The AMPLIS Engine

  • Let operators operate. You hired them to move dirt, not to do data entry. Our AI handles the paperwork.
  • Voice-First UI. Foremen speak into their phones; we route the cost codes automatically.
  • Flat-tiered pricing. Unlimited users. We never tax your growth.

The Ecosystem

One command center for your entire operation.

Voice-to-Text Logs & COs

Your foreman hits record: "We laid an extra 50 feet of pipe due to a GC error." The AI drafts the Change Order and routes the exact labor hours to the correct accounting code instantly.

Auto-Pay Apps

AMPLIS reads the foreman logs and auto-generates flawless AIA progress billing documents.

AI Plan Room

Field crews can ask their assistant any question. It reads the plans, specs, and Geotech reports to find the answer, and cites the exact page number so they can trust it.

Live Job Costing Ledger

Never wait for end-of-month reconciliation. See your budget vs. actuals, committed exposure, and real-time margin down to the exact cost code at 2 PM on a Tuesday.

The Interface

See how the AI catches your cash.

AMPLIS

Field Tools

Daily Logs
Time Cards
Equipment

New Daily Log

The Workflow

From the mud to the ledger. In seconds.

We eliminate the gap between what happens in the trench and what gets billed in the office.

1

The Mud

The foreman encounters out-of-scope bedrock. Instead of typing, he taps the AMPLIS mic on his phone and dictates a 10-second voice log detailing the crew, equipment, and delay.

2

The Engine

Our AI instantly parses the audio, matches the labor and hammer time to Cost Code 31-2000, calculates the exact dollar impact using your historical rates, and flags it as a delay.

3

The Ledger

Before the foreman even leaves the site, a formal, mathematically flawless Change Order is sitting in the PM's inbox ready for GC signature. Zero unbilled work.

Stop Paying Humans to be Robots

Calculate how much margin you bleed every year paying estimators to read 500-page spec books, and PMs to manually job-cost field data.

Your Office Volume

8

Drives estimating hours spent reading Geotech & Specs.

5

Drives PM hours spent coding timecards and receipts.

$85,000

The AMPLIS AI Advantage

Time Spent Reading Specs & Geotech (Yearly)

384 hours AI Time: 4 seconds

Time Spent Manual Job Costing (Yearly)

1,040 hours AI Time: Instant

Annual Admin Bleed Cost

$58,185

This is what you pay highly-skilled estimators and PMs to do data entry. AMPLIS eliminates this.

I didn't want to sell software.
I wanted to stop the bleeding.

I started in the trench and worked my way into the Project Manager position. When I got to the office, I realized we were watching a great heavy civil company slowly bleed to death from the inside.

It wasn't because our guys couldn't move dirt. It was because we were getting killed by administrative friendly fire.

We were eating the cost of missed change orders because our office and feild were too exhausted to keep up. We were getting pay apps rejected over percentage arguments with the GC. We were losing tens of thousands of dollars because an estimator missed a single sentence about groundcwater hidden on page 84 of a Geotech report. Highly skilled professionals were spending hours on data entry that can now take seconds.

The industry was forcing guys who were good at building things to act like accountants.

AMPLIS wasn't built by a tech company in Silicon Valley. It was built by a PM who was sick of watching his guys do out-of-scope work for free. I built this to level up the heavy civil industry, let operators operate, and ensure that if your guys do the work in the dirt, you actually get paid for it in the office.

The Founder

AMPLIS Technologies

AMPLIS Logo

Clear Answers

Frequently Asked Questions

Absolutely zero. If your foreman knows how to tap a button and leave a voicemail, they already know how to use AMPLIS. We completely eliminated drop-down menus, cost-code memorization, and manual typing. They speak; our AI does the paperwork.

Legacy software was built for accountants to organize PDFs. AMPLIS is a Profit Recovery Engine built for the dirt. Instead of just storing files, our AI actively listens to field logs to catch unbilled out-of-scope work, drafts your change orders automatically, and alerts you to margin bleed before it happens.

Instead of calling the PM and waiting 3 hours for an answer, they just ask their AMPLIS assistant on their phone. The AI instantly reads through the entire spec book, Geotech report, and plan set to find the exact answer. Most importantly, it cites the source document and page number so your foreman can verify the answer immediately.

24 hours. Generic software takes 3 to 6 months to implement because you have to build it from scratch. With AMPLIS, you simply hand us your last three winning bids and your cost code list. Our AI ingests your historical data overnight so your crews can start logging correctly tomorrow morning.

No, and we don't want to. We act as a shield in the field. AMPLIS gathers perfectly structured, mathematically accurate data from your crews and automatically exports it into Viewpoint, Spectrum, QuickBooks, or whatever ERP you already use to cut checks. We feed your accounting system clean data.

Ready to defend your margins?

Join the private beta today. We are accepting 2 more foundational partners. Applying today waives the $5,000 historical data ingestion fee.