Kataclyzim turns proven expert intuition into governed infrastructure — then proves whether the humans and AI agents trusted with consequential work can exercise that judgment. The core differentiator: Operationalized Expert Intuition™.
Why now
River AI announced $1.1 billion in combined Series Seed and Series A funding on August 11, 2026 to advance open-model training, specialization, and ownership. That is funding—not valuation. The market is capitalizing the shift from rented to owned intelligence at billion-dollar scale. Funding announcement →
At the same time, enterprise AI has become a capital-allocation problem: leaders must now explain whether the spend produced value — and whether the agent was ever ready for the work. AI activity is not AI ROI.
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Industry mention · Kataclyzim was included in B2B Sales Enablement MarTech and Sales AI’s August 2026 roundup, ‘B2B Sales Enablement, LMS and GTM-Adjacent Software and AI Tools.’
The missing layer · Operationalized Expert Intuition
Organizations preserve data, recordings, and playbooks — but not what the expert noticed, why it mattered, or where the boundary was. AI with access to the documents does not inherit the intuition. That gap is the wedge.
Kataclyzim turns proven expert intuition into governed, versioned, attributable intelligence that can train, test, evaluate, certify, deploy, and revalidate human and AI judgment.
Market position
Kataclyzim — the governed expert-intelligence layer
The company does not have to own the model to own the standard the model must meet. A Kataclyzim Judgment Set can govern a human team or an agent built on any provider's stack.
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Product proof · Resistance Intelligence + Katya
Resistance Intelligence — Domain One — is live across 17 environments — 777 modes to answer resistance. Katya operates from that expert-derived standard and is the first certified Kataclyzim agent. She is proof of the architecture, not the whole company: the same platform gives customer teams a Workspace, practice against the standard, a Memory Bank of evidence and controlled improvement — and certifies humans, customer agents, and custom expert domains against one versioned standard. The product →
Aidan · capability
A $45M raise can validate the ambition. It cannot certify the judgment.
Sable's Aidan — $45M raised from Sequoia Capital and 8VC — is the capability layer at its best.
·Can navigate.
·Can demonstrate.
·Can execute.
Katya · judgment
The older sister in this market: first certified, expert-derived, boundary-aware.
Katya operates from expert-derived Resistance Intelligence and is the first certified Kataclyzim agent.
◆Reads resistance.
◆Chooses the next move.
◆Knows the boundary.
Aidan can run the demo. Katya knows what to do when the buyer pushes back.
Market evidence ↗Founder proof
Jazz Jones came from the projects and spent more than 25 years inside consequential enterprise decisions — T-Mobile, DHL, National Debt Relief, AmOne, Randstad, American Express, LivingSocial. Corporate America was the laboratory; real consequence was the training. That career exposed the gap Kataclyzim closes: companies preserve information, not the expert intuition that made it correct.
“I came from the projects. Corporate America was my lab. Real consequence was the training. Kataclyzim is what I built from it.”
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Prior operating and consulting outcomes generated by Jazz Jones. Not Kataclyzim software metrics and not certification results. Company names are prior work-history context only—not endorsements, partnerships, current-client claims, or Kataclyzim product results. Company outcomes are context, not sole-person attribution. Full operating record →
The business
Resistance Intelligence is the live foundation. Certification programs — AI agent, human, unified, and private enterprise standards — are sold now through custom-scoped engagements. Available through design partnerships while repeatable administration is productized; a Certification API, domain packs, and expert-intelligence licensing are future scale surfaces, none live today.
Land: Katya, a governed agent, or a customer domain → Expand: humans + AI on one standard, more agents, environments and standards → Recur: revalidation, runtime, governed-intelligence expansion.
Every governed standard carries provenance. The human source, version, permissions and reuse relationship remain legible as that intelligence is trained against, certified against, expanded and revalidated.
That creates a provenance economy around expert judgment instead of converting human expertise into anonymous model exhaust.
The opportunity
The stack can build a powerful agent without proving whether its judgment is good enough for consequential work. Kataclyzim closes that gap — and every new domain, environment, cohort, and revalidation cycle deepens the same governed asset. Provider independence makes the whole AI market the surface, not one vendor's share of it.
Deeper evidence lives in the brief — the live engine and the five-path commercial model are on this site to be examined first.
Runtime efficiency
Enterprise programs, qualification, revalidation, private standards and expert licensing where contracted. Runtime efficiency compounds across all of them: the judgment is formalized once and applied, not rebuilt on every call.