Simuka exists because the best SaaS products consistently lose to inferior competitors. Not because of features, but because of political, commercial, and procurement friction that no one knows how to address systematically.
Jason Frankham spent his career in enterprise GTM at a leading hyperscaler: one of the most complex and high-stakes sales environments in the industry. Deals at that scale involve dozens of stakeholders, multi-year procurement cycles, internal politics, and commercial structures that require board-level approval. Most of them stall at some point.
The pattern was consistent. An excellent product. A willing champion. A deal that should have closed. And somewhere in the gap between technical evaluation and final signature, something invisible derailed it. Sometimes it was a stakeholder dynamic no one had mapped. Sometimes it was a commercial structure that triggered a CFO objection. Sometimes it was a procurement process that had been misread from the beginning.
Senior consultants at elite firms could diagnose and fix these deals. Most growth-stage companies couldn't afford them, couldn't wait three weeks for the output, and couldn't justify the engagement structure.
Simuka was built to close that gap. The Kinetic Engine (20 specialist agents running in parallel) delivers forensic deal analysis in 48 hours at a price point that growth-stage companies can access. The methodology is the same. The speed and economics are entirely different.
Jason is based in Kinsale, Cork, Ireland and works with enterprise SaaS companies globally.
Our proprietary forensic methodology for deal turnaround. Every Simuka engagement analyses your deal across four critical dimensions, because deals almost never fail for a single reason.
Enterprise deals fail because the wrong person is driving them. Our first vector maps the full stakeholder landscape: identifying the real economic buyer, assessing champion strength and motivation, and diagnosing the political dynamics that determine whether a deal closes. We address the 'Silent No' and the Fiduciary Stall, the two most common hidden Structural Fractures in enterprise procurement.
Most stalled deals are not price problems. They are value positioning problems. Our second vector re-anchors the deal to strategic outcomes and the Cost of Inaction: shifting the buyer's frame from 'how much does this cost?' to 'what does it cost us to not act?' We identify where feature-level selling has replaced outcome-level selling, and we fix it.
Procurement blocks are rarely about the contract terms themselves. They are about the risk profile the contract presents to the buyer's legal, finance, and compliance teams. Our third vector redesigns the commercial structure to reduce perceived risk: using phased deployment language, risk-reversal terms, and procurement-aligned pricing models to unblock stalled approvals.
AI products trigger a category of procurement block that traditional security documentation cannot address. Our fourth vector produces SOC 2-aligned, GDPR-compliant, zero-retention documentation that satisfies InfoSec and Legal reviews, turning a procurement wall into a formality.
Simuka's proprietary AI system: 20 specialist agents running in a hub-and-spoke architecture, each analysing a different dimension of your deal simultaneously.
The Kinetic Engine deploys 20 specialist agents, each focused on a discrete dimension of enterprise deal execution: stakeholder intelligence, procurement risk, champion dynamics, competitive positioning, CFO objection vectors, executive communication, and portfolio pattern analysis. The agents run in parallel across a hub-and-spoke architecture and their outputs are assembled by a dedicated synthesis layer into a single cohesive artifact.
The specific agent architecture, methodology, and evaluation frameworks are proprietary. What clients receive is the result: a forensic diagnosis and a complete set of executive-ready artifacts, personally reviewed and approved by the Simuka team before delivery.
Deal intelligence is commercially sensitive at an extreme level. Our data commitment is unconditional.
Every Simuka engagement is conducted under a mutual NDA. Deal data is never discussed, referenced, or used outside the engagement it was provided for.
We do not retain deal data beyond the engagement period. All client materials are deleted upon completion.
All analysis is conducted in Ireland. Data does not leave the EU. No third-party cloud processing of client deal data.
Our operational security practices are aligned to SOC 2 Type II principles, appropriate for handling commercially sensitive enterprise deal intelligence.