For executives who want AI that actually works

We Turn AI Into EBITDA
— Not Decks, Not Demos, Not Hype

AI solutions built by operators for executives who measure success in financial impact, not innovation theater. Whether you're running a PE portfolio company or leading a division that needs to move fast — we deliver results in quarters, not years.

5–25%
EBITDA improvement range
4 Weeks
Proof of concept delivery
90 Days
To measurable results
30+ Years
Operator & consulting expertise
ZENTECK AI - Advanced data processing and artificial intelligence system
The Problem We Solve

The AI market over-promises and under-delivers

The market is flooded with generic AI solutions sold by technologists who have never managed a P&L, met a quarterly target, or presented to a board. They build for enterprise timelines — 18-month roadmaps, multi-year digital transformations, and patient capital that most businesses don't have.

Two types of leaders feel this most acutely:

PE Operating Partners & Portfolio Company CEOs

You have a three-to-seven year hold period, an EBITDA target that governs every capital decision, and an exit clock that turns every initiative into an equity story. You need AI that delivers financial impact fast enough to matter within your investment horizon.

Division Leaders & Business Unit Executives

You have finite budgets, board scrutiny, and pressure to prove ROI before the next planning cycle. You need AI that works with your existing data and systems — not a science project that requires a two-year runway.

Both need the same thing: AI that delivers financial impact fast enough to matter, practical enough to work with existing systems, and documented well enough to defend at any level.

We don't sell AI technology. We deliver EBITDA improvement through AI — and we stake our economics on the outcome.

No Snake Oil

We know what AI actually is — and what it isn't

The market is full of companies slapping "AI-powered" on workflow automations and charging a premium. We don't play that game. We come from decades of building and operating real systems — we understand data architectures, business processes, technology platforms, and the fundamental value drivers that determine whether a solution creates real ROI or just impressive demos.

Honest Assessment

Sometimes the answer is a well-designed workflow automation — not a neural network. We'll tell you that. We'd rather build trust with an honest recommendation than revenue with an unnecessary one.

The Full Toolkit

When advanced AI is the answer, we bring the full stack — not just the buzzword of the month.

Analytics & ML
Predictive models grounded in your actual business data
Digital Twins
Live system replicas for simulation and optimization
Knowledge Graphs
Structured domain expertise that makes AI contextually intelligent
Decision Engines
Rule-based + AI-driven logic for real-time operational decisions
LLMs & Gen AI
Natural language interfaces and content generation — where they genuinely add value
Workflow Automation
Sometimes the simplest solution is the right one

LLMs are one tool in our toolkit — powerful when applied correctly, wasteful when applied indiscriminately. We architect solutions around your problem, not around the latest hype cycle.

Our Approach

Built for speed, discipline, and measurable results

01

Assess & Align

We evaluate your data readiness, tech infrastructure, and organizational capacity — then map high-impact AI use cases directly to your strategic priorities. No boil-the-ocean strategies. We identify two to three initiatives that move EBITDA.

Weeks 1–4 → Scored readiness matrix + prioritized use cases
02

Prove It Fast

We launch proof-of-concept sprints in 2–4 weeks with pre-defined success metrics tied to financial outcomes. Every pilot has an executive sponsor, weekly KPIs, and a clear hypothesis linking to bottom-line impact. If it doesn't work, we pivot — fast.

Weeks 4–12 → Working POC with measured financial impact
03

Scale & Operate

Successful pilots scale into production. We can operate the solution for you — our "Performance as a Service" model means you pay for outcomes, not software licenses. Clean integration, full documentation, built for long-term value from day one.

Months 3–12 → Operationalized AI driving sustained EBITDA lift
Why We're Different

We think like operators, not vendors

Typical AI Consultancy

Technology-first, timeline-flexible

Timeline
12–18 month transformation roadmap
Investment Thesis
Build enterprise-wide AI capability
Success Metric
Adoption rates, innovation index
Talent Model
Hire a data science team
Pricing
License fees + implementation costs
Long-term Value
Vendor lock-in, ongoing dependencies

Zenteck.ai

Operator-led, outcome-driven

Timeline
4-week POC → 90-day measurable impact
Investment Thesis
Target highest-ROI use cases first
Success Metric
EBITDA impact and cash payback period
Talent Model
We bring the team — and the solution
Pricing
Outcome-based: you pay for results delivered
Long-term Value
Portable, documented, transferable from Day 1

We work especially well with PE-backed companies where speed, accountability, and exit-readiness are non-negotiable — but our approach serves any organization that demands measurable AI ROI.

Performance as a Service

We don't just advise. We operate.

Rather than selling software licenses and walking away, we can run critical AI-powered processes on your behalf — with economics tied to the outcomes we deliver.

Costs Aligned with Revenue

No large upfront CapEx. Our model converts AI from a capital investment to an operating expense that scales with your business — exactly what disciplined financial models prefer.

Risk Transfer

We assume the operational and technology risk. If the AI doesn't deliver, our economics reflect it. Your downside is bounded while your upside is uncapped.

No Talent Burden

You don't need to hire data scientists or AI engineers. We bring the domain expertise, the technology, and the team — eliminating the talent acquisition challenge that stalls most AI initiatives.

Clean at Exit or Transition

Our engagements are structured for portability. When priorities shift — whether it's a sale, a reorganization, or an in-sourcing decision — the AI capability transfers cleanly. No lock-in, no disruption.

Frederic Ramioulle - Founder & CEO, Zenteck.ai
Frederic Ramioulle
Founder & CEO, Zenteck.ai
McKinsey & Co.Alvarez & MarsalA.T. KearneyHoneywellInfosysKPITHOPTEK (Founder)
Who We Are

Built by an operator, not a technologist

Most AI consultancies are founded by engineers who learned business. Zenteck.ai was founded by an operator who builds AI products.

Frederic Ramioulle has spent 30+ years in the intersection of complex operations, enterprise transformation, and technology — at McKinsey, Alvarez & Marsal, A.T. Kearney, Honeywell, and Infosys. He has managed P&Ls from $50M to $500M, led organizations of up to 9,000 engineers, and driven turnarounds across automotive, aerospace, logistics, and industrial sectors.

"I've sat where our clients sit — presenting to investment committees, managing quarterly targets, building the narrative that justifies every dollar spent. I founded HOPTEK to prove that AI could run fleet operations with minimal human intervention. We didn't just theorize about it. We dispatched hundreds of trucks with software I helped create."

This dual fluency — in boardroom strategy and production-grade AI systems — is what makes Zenteck.ai different. We don't just understand the technology. We understand the financial model, the organizational dynamics, and the operating realities that govern every decision in a results-driven business.

Early Domain Focus

Logistics & fleet operations: where we started

Our first domain of activity — and the proving ground for our approach. Multi-constraint optimization across fleets, warehouses, and distribution networks, where AI agents navigate real-time variables that overwhelm human decision-making.

Our modular architecture and operator-led approach are designed to expand across any complex operational domain — from workforce scheduling to healthcare operations to enterprise data management.

Core Capabilities
  • Autonomous truck dispatching and scheduling
  • Real-time driver management and HOS compliance
  • Inbound logistics optimization for OEMs
  • Predictive load planning and route optimization
  • Stakeholder communication via AI voice and text
  • Multi-modal network design and optimization
Join the Zenteck.ai team
Join Our Team

Build AI that actually matters

We're looking for engineers, consultants, and domain experts who are tired of building demos and want to build solutions that move real numbers. If you think like an operator and build like an engineer — we should talk.

Reach out to us

Let's talk about turning AI into your next EBITDA line item

Whether you're an operating partner evaluating AI across a portfolio, or a business leader looking for the fastest path to measurable impact — we'd welcome the conversation.