A decision-intelligence portfolio

Simple surfaces.
Serious systems
underneath.

Infinis builds decision systems for consequential domains.

Tax. Training. Private reflection. Software planning. Founder operations. Crypto positioning. Markets.

Different problems. Different interfaces. A recurring systems instinct:

  • Structure the evidence.
  • Constrain the reasoning.
  • Establish what has authority.
  • Preserve what was decided.
  • Make the next state clearer.
Infinis Decision IntelligenceIndependent software studio. Brooklyn, New York.

The origin

The systems came first.

I did not begin with a category called decision intelligence.

I began building software.

One system modeled complex tax decisions. Another noticed recurring patterns in private reflection. Another required proof before training could progress. Another turned vague software ideas into clarified Scope Packs and builder-ready prompts.

The products appeared unrelated.

But the same architecture kept returning.

Each system had to decide what counted as evidence. What could safely be inferred. What rules or models should evaluate the state. Who—or what—had authority to establish the result. What needed to be preserved. And what became possible next.

Eventually, the pattern became harder to ignore than the differences between the products.

Decision intelligence was not the starting thesis. It was the pattern the work revealed.

— Samuel Moskowitz
Founder, Infinis Decision Intelligence

The portfolio

One thesis. Distinct systems.

The domains are different. The interfaces are different. The authority models are different.

The systems instinct keeps returning.

01
Tax decision intelligenceLive

PRISM Tax Intelligence

Tax intelligence for complex U.S. tax decisions.

PRISM is the decision layer between a person's facts and the eventual tax consequence.

It models tax positions and shows where paths diverge, what drives the difference, and what may follow—then preserves the modeled position in a Decision Record.

Know the law. See how it applies. Understand what comes next.

System pathPath → divergence → drivers → Decision Record
Explore PRISM
02
Longitudinal pattern intelligenceLive

Symbolic Clarity

Notice what keeps returning.

A private daily reflection system that makes recurrence visible over time.

Symbolic Clarity notices recurring moods, words, situations, and symbolic themes without diagnosing the user, predicting the future, or imposing meaning.

The system can notice the pattern.

The user retains authority over what the pattern means.

System pathPrompt → reflection → recurrence → return
Explore Symbolic Clarity
03
Proof-gated training decision systemPreparing for launch

Infinis Protocol

Attempt → Record → Return.

A proof-gated training continuity system.

The system prescribes what is required. The user performs the work and records numeric proof. Deterministic progression rules establish what happens next.

Advance. Repeat. Correct. Deload. Return.

Progression follows evidence, not mood.

System pathAttempt → proof → verdict → return
View Infinis Protocol
04
Software planning decision intelligencePreparing for launch

Infinis Creation

Clarity before code.

A pre-build planning system for software.

Infinis Creation takes a rough idea, clarifies the missing decisions, produces a structured Scope Pack and builder-ready prompt, evaluates the result, repairs weak output, and preserves the stronger version.

Generation is not the finish line.

Only acceptable work advances.

System pathIntake → clarify → generate → evaluate
Explore Infinis Creation
05
Founder operating intelligenceBeta

Infinis Echo

Echo listens and organizes. It never speaks for you.

A voice-first operating surface for founders.

Echo extracts possible commitments, asks, deadlines, and risks from spoken thought and read-only communication.

Nothing becomes operational truth until the founder approves it.

The system structures the signal. The founder retains authority.

System pathCapture → extract → review → approve
View Echo
06
Crypto positioning decision intelligenceLaunch candidate

Crypto Dominion

One token. One question. Real answers.

A crypto positioning intelligence system built around deterministic market logic.

Deterministic logic establishes the simulation verdict: Buy. Hold. Wait. Exit.

AI may explain the structured signals. It cannot override the logic layer or change the verdict.

The verdict is a simulation, not financial advice or a price prediction.

Logic precedes language.

System pathEvidence → logic → simulation verdict → explanation
View Crypto Dominion
07
Adaptive market decision researchResearch

Chronova

Adaptive market decision research.

Chronova is a research system in which competing hypotheses evaluate market evidence, challenge one another, and change trust based on observed outcomes.

The system may form beliefs.

Reality gets the final vote.

System pathObserve → contest → adjudicate → learn
View Research

The systems thesis

We don't build chatbots.
We build decision systems.

A chatbot begins with a prompt and returns an answer.

That can be useful.

But many consequential problems require more structure.

  1. 01

    What evidence entered the system?

  2. 02

    What is the system permitted to infer?

  3. 03

    What rules, models, or patterns evaluate the evidence?

  4. 04

    Who has authority to establish the final state?

  5. 05

    What must be preserved?

  6. 06

    What becomes required or understandable next?

Those questions change from domain to domain.

The systems instinct does not.

That is what we mean by decision intelligence.
01Evidence02Constraints03Evaluation04Authority05Record06Next state

Authority by domain

Authority belongs where the decision requires it.

Decision intelligence does not mean giving every decision to AI.

In Symbolic Clarity, the user retains authority over meaning.

In Echo, the founder decides what becomes an approved commitment.

In Infinis Protocol, deterministic progression rules establish the training verdict.

In Crypto Dominion, logic establishes the simulation verdict before AI explains it.

In Chronova, observed reality adjudicates the system's beliefs.

The first question is:

What question is this system actually permitted to answer?

Then ask:

What should have authority over the answer?

The system should be designed around both.

Built from a systems instinct

Built from a systems instinct.

I'm Samuel Moskowitz, founder of Infinis Decision Intelligence.

I came to software through tax.

Tax work trains you to care about facts, rules, evidence, consequence, and the reasoning that connects one to the next.

A result without its basis is difficult to trust.

A conclusion that ignores its constraints is dangerous.

And when the facts change, the answer may change with them.

When modern AI development tools made it possible to turn those instincts into working software, I started building.

The domains changed.

The instinct kept showing up.

Infinis is the public home for that work.

Built independently in Brooklyn.

Infinis Decision Intelligence

Simple on the surface.

The interface should feel simple.

The reasoning underneath should not be.

Infinis Decision Intelligence is an independent software studio building and operating domain-specific decision systems.