Patent-pending enterprise intelligence infrastructure

Enterprise AI keeps forgetting the genius it hires.

Katacylizm turns validated expert judgment into reusable, governable, and attributable intelligence. Katalyst is the first operating system proving the architecture through Resistance Intelligence.

Request investor materials → See the first proof →

Seed round open · Resistance Intelligence free to try · U.S. Provisional Application No. 64/099,949

KATALYST RESISTANCE READ SALES

“We're happy with our current vendor.”

Resistance read

Incumbent loyalty used as a conversation-ender — “happy” is often “not in enough pain to switch yet.”

What they protect

They're protecting themselves from the cost and risk of change, not defending the competitor.

Impact statement — say this

“You're not telling me they're perfect — you're telling me switching isn't worth the hassle yet. Fair. Let's only keep talking if the gap is worth it.”

Next best move

Don't attack the incumbent. Ask what “happy” is quietly missing, and size that gap before you ever mention switching.

Run your own read → Every read ends in an Impact Statement

For investors

A category, not a feature. A $5M seed to own the infrastructure layer the industry skipped: patent-pending architecture, a proprietary corpus that cannot be reconstructed from public data or replicated with a larger prompt, and a wedge already producing revenue. Read the investor summary →

For revenue teams

Something you can use this week. Paste an objection your team keeps losing to and see what the buyer is actually protecting — plus the exact language to say back. Free, no account, live now. Explore Resistance Intelligence →

175+canonical resistance patterns owned

1,300+curated reasoning seeds

14canonical operating environments

$48Kbusiness revenue to date

The category thesis

AI has a memory problem, an attribution problem, and an economics problem.

Companies keep the artifact, lose the method, and continue collecting value after the human source disappears. Katacylizm is the infrastructure designed to close all three gaps.

01 / MEMORY

It forgets how the win happened.

Companies keep the artifact — the deck, the recording, the dashboard. The reasoning that produced the outcome walks out the door.

02 / ATTRIBUTION

It can't trace who created value.

The contribution keeps producing revenue and risk reduction long after the human source of the judgment has disappeared from it.

03 / ECONOMICS

It erases to capture upside.

Owning the output has come to mean pretending it authored itself. Ownership and human dignity are treated as a trade-off. They don't have to be.

Katacylizm is the missing intelligence infrastructure that solves all three — and Katalyst is the first application proving the architecture. Read the full thesis →

The missing intelligence infrastructure

The industry stops at agents. Katacylizm continues into memory, governance, and provenance.

FoundationCompute and data

ModelsRaw machine intelligence

TokensRuntime unit economics

LoopsOrchestration and iteration

AgentsWhere the industry stops

KatacylizmReusable reasoning infrastructure

KatalystResistance Intelligence operating system

Expert ValueProvenance, attribution, participation

PLANE 01

Reasoning Asset Plane

Validated, versioned decision assets with context, boundaries, evidence, and provenance.

PLANE 02

Runtime Decision Plane

Resolve the live situation, retrieve the minimum sufficient intelligence, adapt, act, or escalate.

PLANE 03

Trust + Governance Plane

Authorization, tenant isolation, Quality Gate, stop logic, audit, rollback, and human oversight.

PLANE 04

Learning + Provenance Plane

Turn outcomes into governed candidates while preserving contributor, evidence, and version lineage.

Every durable insight travels a governed lifecycle.

Memory is not automatic. It is earned, reviewed, versioned, and tied to the human and evidence that produced it.

Capture

Validate

Attribute

Deploy

Measure

Improve

Reward

Eleven product layers map to these four planes, with live, protected, expanding, and planned status disclosed. Go deeper on the architecture → · See the layer-by-plane map →

↻ Reward feeds back into capture — each validated use strengthens the corpus and the proof loop.

First proof

Resistance Intelligence is the beachhead.

Resistance is frequent enough to generate learning, expensive enough to create budget, and consequential enough to prove that context, boundaries, and governance matter.

🎯Before the close

Sales / Objection Intelligence

Pricing, timing, trust, competition, compliance, ghosting, pipeline friction, and weak follow-up.

Explore the Sales path →

🚀Before the market trusts it

Founder / Operator

Offer confusion, positioning gaps, category resistance, launch friction, and buyer belief gaps.

Explore the Founder path →

📈After the sale

Customer Success / Account Growth

Adoption stalls, renewal hesitation, sponsor drift, support trust, expansion blockers, and churn risk.

Explore the CS path →

The revenue stack captures resistance. It doesn't understand it.

CRM records motion. Call intelligence captures words. Enablement stores content. CS platforms track health. Katalyst is the interpretation layer between signal and action — one signal, a different decision per path, because relationship, risk, and proof requirement differ.

✓Resistance Read ✓Impact Statement ✓Next Best Question ✓Follow-Up Move ✓Coaching Note ✓CRM-Ready Intelligence

Explore Resistance Intelligence → Run a free read

The Expert Value Framework

From invisible expertise to measurable value.

A contribution can keep its lineage from the human mind to the enterprise outcome, without forcing the company to surrender lawfully commissioned IP.

Expertcontributes reasoning

Assetstructured and scoped

Quality Gatevalidated and bounded

Deploymenthumans and agents

Outcomeuse and evidence

Valuerecognition and participation

Company keeps
the commissioned IP

Expert keeps
authenticated lineage

Contract defines
the participation

Katalyst enables contribution measurement and contract-defined participation. It does not prescribe one universal compensation model. Read the Expert Value Framework in full →

Founder-market fit

The architecture came from outcomes, not theory.

Over 26 years, Jazz Jones built the GTM systems, sales organizations, enterprise deal strategies, and operating frameworks responsible for more than $14B in reported commercial impact — then turned the reasoning behind them into a teachable system.

The product begins where the pain is immediate: objections, founder friction, adoption stalls, renewal risk, and account-growth resistance. The architecture expands wherever expert judgment must persist.

$14B+ reported commercial impact $1.04B debt enrolled in 13 months MIT Solve semifinalist Mensa member since age 12

Who this is for

Four buyers. One thing they cannot solve any other way.

Every one of these teams is already paying to rediscover judgment it owns. None of them can currently prove where a decision came from, reuse it safely, or reward the person whose thinking produced it.

ICP 01 · buys today

Enterprise revenue leaders

CROs, VPs of Sales, Enablement and RevOps running 10–500 quota-carrying reps in repeatable, high-resistance motions.

Unsolvable elsewhere: Their best closer's read cannot be copied. Coaching decays, scripts go stale, and the judgment leaves with the person.
Entry point: A free Resistance Read, then an Operating Plan for the path that is bleeding.

ICP 02 · highest urgency

Regulated, high-trust operators

Lending, debt relief, collections, insurance, and healthcare teams where a misread is a compliance event, not just a lost deal.

Unsolvable elsewhere: Generic models average away the room. They cannot prove a boundary was respected or show an auditor why a rep said what they said.
Entry point: Environment calibration across the 14 canonical rooms, with stop logic built in.

ICP 03 · strategic

AI and platform leaders shipping agents

CTOs and heads of AI whose agents now speak to customers about money, health, and risk — with no governed memory behind them.

Unsolvable elsewhere: Orchestration frameworks have no validated reasoning store, no quality gate, and no provenance trail. Fine-tuning alone does not provide asset-level provenance, selective rollback of individual reasoning contributions, or governed attribution to their human sources.
Entry point: The four planes as infrastructure — reasoning assets, runtime, governance, provenance.

ICP 04 · expansion

Operators whose judgment is the product

Founders, consultants, and domain experts whose reasoning creates enterprise value long after they stop being in the room.

Unsolvable elsewhere: There is no mechanism to prove a contribution kept producing value — so ownership and dignity get treated as a trade-off.
Entry point: The Expert Value Framework and the Expert Council.

Buying for a team? Start with the wedge → · Underwriting the category? Request the Brief →

Seed round

Turn founder-carried intelligence into owned enterprise infrastructure.

Katalyst is raising a $5M seed to own the code, data, runtime controls, security baseline, corpus deployment, benchmarks, provenance system, and recovery path required to scale responsibly.

Request the investor brief → View the investor summary

$5M