Scott Fielder
Enterprise AI Architecture.
Executive Execution.
Venture Studio CEO. Founder of Priiism.ai — enterprise AI development for regulated, compliance-bound industries. Former Salesforce Principal Architect. I architect LLMs, RAG systems, and agentic workflows at enterprise scale — then present the roadmap to your board.
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One Technical Leader. 10+ Companies.
I don't just advise — I architect the shared AI infrastructure, systems, and engineering culture across every company in this portfolio. One technical layer. Multiple ventures. Compounding returns.
Venture Studios
The operating layer — shared AI infrastructure, architecture patterns, and engineering leadership across every portfolio company.

HKPS Partners
CEO & Founder
Venture studio and holding company focused on building profitable, scalable businesses across AI, SaaS, and healthcare.
- Multi-vertical holding company
- AI, SaaS, and Healthcare focus
- Exit-ready company building
iii.partners
General Partner
Hands-on venture studio that co-founds, designs, and rapidly validates digital products from concept to traction.
- Founder enablement
- Rapid product validation
- Concept to traction
Priiism.ai
AI-powered development with enterprise guardrails.
The enterprise alternative to consumer AI coding tools. While Lovable, Base44, and the broader "vibe coding" wild west give startups speed without governance, Priiism gives regulated enterprises both — autonomous AI development with the compliance, audit trails, and access controls that HIPAA, SOC2, and Fortune-500 boards actually require.
Empowers business users to autonomously contribute production software safely, behind enterprise guardrails — without giving up board-level risk posture.
Kodey.ai
The autonomous AI agent platform I built and deploy across my portfolio — the shared technical layer that compounds across every venture, and the proving ground for the patterns now productized in Priiism.ai.
Portfolio Companies

Enlyt Health
Founder
Healthcare SaaS platform powering patient engagement for major hospital systems.
- Patient engagement platform
- Major hospital systems
- Healthcare compliance

TriFin Labs
Founder
Full-service software and AI development studio that incubates and scales new ventures.
- Software development studio
- Venture incubation
- AI-first development

FitAF.ai
Founder
AI-driven fitness coaching platform with a trainer revenue-share model.
- AI fitness coaching
- Trainer revenue-share
- Personalized workouts

ciiimple
Co-Founder
VC-ready data room platform that helps founders raise capital more efficiently from Seed to Series B.
- VC-ready data rooms
- Seed to Series B
- Fundraising efficiency

sliiides
Co-Founder
AI-powered pitch deck platform used by founders to raise over $50M in capital.
- AI-powered pitch decks
- $50M+ capital raised
- Founder-first design

diiivorce
Co-Founder
AI-powered consumer platform providing professional-grade divorce strategy, negotiation scenarios, and tactical guidance at a fraction of traditional legal costs.
- AI legal strategy
- Consumer-grade pricing
- Negotiation scenarios
AI Strategy & Enterprise Architecture
Most AI consultants advise without firsthand knowledge about exactly how to execute. I architect and educate your teams on how to ship—not from theory, but from real hands-on execution over decades.
From board presentations to production deployments—same person, same day.
AI Strategy & Implementation
Enterprise AI architecture from someone who builds AI systems daily. LLMs, RAG pipelines, agentic workflows—I don't advise, I implement.
- LLM selection & fine-tuning
- RAG pipeline architecture
- Agentic workflow design
- Enterprise AI integration
- Production deployment & scaling
AI-Native Dev Transformation
Modernize your team's SOPs and tools to 10x each developer. I'll collapse months of traditional development into days with AI-native workflows.
- AI-native development SOPs
- Tool stack modernization
- Team training & enablement
- Workflow automation
- 10x developer productivity
CTO-Level Technical Leadership
Executive-level technical leadership with deep AI expertise. I architect AI strategy, present to boards, and ship production code — embedded with your team, not above them.
- AI-first architecture design
- Board-level technical strategy
- Engineering team leadership
- Enterprise scalability
- Due diligence preparation
AI Technical Due Diligence
Due diligence from someone who builds AI systems, not just evaluates them. I know what scales because I've architected enterprise AI.
- AI architecture assessment
- LLM & model evaluation
- Scalability & cost analysis
- Technical team capability review
- Post-investment AI roadmap
AI-First Executive. Enterprise Architect.
I run companies and architect AI systems at enterprise scale. While most executives talk about AI strategy, I'm deploying LLMs, building agentic workflows, and shipping production AI—then presenting the roadmap to the board.
From Salesforce Principal Architect designing systems for millions of users to Venture Studio CEO building AI-native companies—I've led the technical strategy behind platforms that scale. I know what passes enterprise due diligence because I've architected it.
Founders get an AI strategist who can actually implement. Growth companies get executive leadership with enterprise architecture depth. VCs get operator-level technical diligence from someone who builds AI systems daily.
- Founder of Priiism.ai — enterprise AI dev for regulated industries
- Technical leadership across 10+ simultaneous ventures
- Former Salesforce Principal Architect
- Enterprise systems for Fortune 500s
- $50M+ capital facilitated
- HIPAA, SOC2, and compliance-first AI architecture
Enterprise AI Architecture
I've designed systems serving millions at Salesforce. I bring that same rigor to AI implementations—scalable, secure, and production-ready.
AI Strategy + Execution
LLMs, RAG pipelines, agentic workflows, multi-modal systems. I don't just advise on AI—I architect and ship it.
Board to Codebase
Present AI strategy to your board, then build the POC myself. Executive presence with hands-on technical depth.
Thoughts on Building
Lessons from the trenches — on AI, SaaS, architecture, and building companies that survive scrutiny.
Before You Reach Out
I believe in transparency. Here's what you need to know about working together.
Funded startups (Seed+) who need AI architecture leadership. Growth-stage companies modernizing their tech stack. VCs needing technical due diligence from an operator. Companies with budget and urgency—I move fast and expect the same.
Pre-revenue startups looking for equity-only arrangements. Companies needing a $5k MVP or hourly debugging help. Anyone looking for a "consultant" to validate decisions already made. If you need someone to tell you what you want to hear, I'm not your guy.
Typically within 1-2 weeks. For urgent technical due diligence, I can often start within 48-72 hours. Availability varies—serious inquiries get priority.
Both. I architect systems and ship production code. That's the differentiator—I'm not theorizing about AI, I'm deploying LLMs, building RAG pipelines, and shipping agentic workflows daily. Board presentation in the morning, production deploy in the afternoon.
Most clients start with a focused scope: AI architecture design, dev team transformation, or technical due diligence. We expand from there based on results. I embed with your team, not above them.
In select cases, yes—but never equity-only. I take equity alongside cash compensation for companies where I see exceptional upside and strong founder alignment. This is rare and by invitation.
Still have questions? Serious inquiries only—if the above sounds like a fit, let's talk.
Ready to Build AI That Scales?
Whether you need enterprise AI architecture, LLM implementation strategy, or technical leadership with AI depth — let's discuss your project.
Book a Strategy Call
30-min intro call
Skip the back-and-forth. Pick a time that works and let's discuss your situation directly.
Schedule NowTypical Engagements
- • Enterprise AI architecture & implementation
- • LLM, RAG & agentic workflow design
- • AI technical due diligence for VCs
- • Technical leadership with AI depth
- • Board-level AI strategy



