PSPhilip Siniscalchi
Philip Siniscalchi

Revenue leader who builds.

Twenty-two years carrying and leading enterprise numbers at AWS, NTT DATA and Dimension Data. Then I founded SMARTHAUS to make AI governable, with rules proved before they run and enforced at every place an AI can act.

“Read the pattern early, prove it with one real thing, build the machine that scales it.”How I have worked at every company, and the reason the record below exists.
What is AI to your company?Ask about me
Philip SiniscalchiManalapan, New Jersey
$190M over five years
Texas DOT contract I originated
Source: Texas Tribune, 4 Jun 2013
$172M, +24.6%
AWS’s global MongoDB partnership
Source: AWS performance record, by reference
$200M+ · $1B+
contract value and pipeline, NTT cross-sell, 22 months
Source: NTT records, by reference
3
provisional patent applications
Source: USPTO provisional filings 63/942,361 · 64/030,463 · 64/030,568
Twenty-two years, then a company

Seller, program builder, product builder.

Each time I saw the move early, put my hand up, and built it.

  1. 2003Dimension Data
    first services-only seat
  2. 2013Texas DOT
    $190M over five years
  3. 2016NTT cross-sell
    31 business units, $1B+ pipeline
  4. 2022AWS · MongoDB
    $172M number, up 24.6%
  5. 2023SMARTHAUS
    founded; 3 patent applications since
  6. 2026Next
    where selling and building count
SELLERPROGRAM BUILDERPRODUCT BUILDERDimension Datafirst services-only seat2003Texas DOT$190M over five years2013NTT cross-sell31 business units, $1B+ pipeline2016AWS · MongoDB$172M number, up 24.6%2022SMARTHAUSfounded; 3 patent applications since2023Nextwhere selling and building count2026
The record

Three things to know about me

Pillar one

I know how to sell.

Strategic accounts at the highest level: the largest deal of my career, a global partnership carried through a down market, and five President’s Clubs.

The full record →
One motion31 units
Pillar two

I build the motion.

Alliances, partners and go-to-market programs that make a whole company sell together, not one more team chasing the same accounts.

The full record →
Pillar three

I do AI, four ways.

I have sold it, built it, governed it and run a business on it. Pick the door that matches your company and start there.

The full record →
Pick your door

What is AI to your company?

Choose the one that fits. The proof that matters to you comes first.

I founded a company that makes one, and I have sold into the buyers who are deciding on yours.

At SMARTHAUS I developed a framework, Mathematical Autopsy, that lets me develop code through a math-first, formal-methods process in collaboration with AI. The rules a system must obey are proven before any code exists.

From it came an engine that checks those proofs, a library of proven components, and the Universal Control Plane, which decides what an AI is permitted to do before it acts and records every decision.

I know what is hard to build, and I know what an enterprise buyer is trying to get out of it. Connecting those two is where most AI deals quietly stall.

Three provisional patent applications

Resonant Field Storage, the Universal Control Plane, and stepwise proof-closed synthesis from locked intent.

Source: USPTO provisional filings 63/942,361 · 64/030,463 · 64/030,568

How it works →

Ask about Phil

Ask anything about my work. Every answer is a quotation from my record, with its source.

How this assistant is governed: it runs on a model on my own machine. It may only quote my approved record, and any sentence that is not an exact quotation is removed before you see it. It will not discuss pay, SMARTHAUS finances or plans, clients, or my family, and it says so when the record has no answer. Questions are logged so I can see what people ask.

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