Investor deck - 2026

Marple Data Analytics

Marple is the AI-ready data platform for hardware engineering teams.

Investor Deck

Antwerp, BelgiumConfidentialmarpledata.com

The Problem01 / 13

95% of data is never used

High-performance hardware teams capture enormous datasets, but current tools make them too slow to search, analyze and reuse.

Hardware has outgrown the software stack

More sensors and higher frequencies create massive time-series datasets. Files, scripts and legacy databases break down when engineers need fast access to everything.

Manual tasks have become the bottleneck

Engineers spend hours searching, plotting and checking instead of acting on the result.

Teams want AI, but their data is not ready

Data is not unified, and running AI on raw files does not work: RAM heavy and token heavy across hundreds of channels.

Engineering data is breaking old tooling

Current Products02 / 13

High-performance data tooling, loved by engineers

Data sources

Vehiclestrack, dyno and road tests

Aircraftflight, ground and rig data

Machinessensors, PLCs and test benches

Data foundation

High-performance data lakehouse.

High-frequency data becomes reusable engineering data.

Top-of-market ingestion speed

Harmonized data in unified namespace (UNS)

Petabytes scalability

Unique tiered storage

Data analysis

From raw data to shared insight.

Explore, calculate and report on any test, together.

Data mining (across 100s of datasets)

Custom calculations

Automated reporting & notifications

Collaborative projects & sharing

Measure - store - connect - analyse

Product Roadmap03 / 13

Accelerating R&D with a central compute platform for engineering.

Vehicles & test rigs

Marple Compute Centralised runtime for engineering

Agent orchestration

Anomaly detection

Script execution

XiL models

(Embedded) code

Specs, docs, requirements

Shared context

Human engineer

Improve & retest

From visualisation to autonomous analysis

Customer Proof04 / 13

EUR 0.5-1M
yearly cost saving

“Our vehicle testing time is reduced by 65% after adopting Marple.”

Stefano Gabrielle

Performance technical lead · Bugatti-Rimac

Key facts

120 monthly active engineers.
EUR 0.5-1M annual cost saving in current workflows.
Marple makes complex test data available, searchable and actionable for engineering teams.
The AI layer turns a proven ROI case into a larger automation opportunity.

Measured value before the AI upside

Traction05 / 13

Compounding growth, accelerating since Marple DB.

Quarterly ARR, EUR. * projected on the short and mid term sales pipeline.

EUR 550kARR, Q2 2026

2xARR in 6 months since Marple DB

10k → 50kACV on new deals, EUR

Profitablethree quarters running — now doubling down to scale up

Profitable growth, quarter after quarter

Traction06 / 13

Worldwide presence across high-performance engineering.

1000+monthly active users

10 countriesincluding UK and US

Automotive/Motorsport

Aerospace/Defence

Manufacturing/Other

Automotive - aerospace - advanced engineering

Business Model07 / 13

Yearly licences scale with customer usage.

Marple contracts grow with the customer data footprint and the intensity of querying and compute across Marple DB and Marple Insight.

Deal Value

Typical contracts land around EUR 50k, with enterprise deployments expanding materially.

EUR 50k

Small customerEUR 25k Average customerEUR 50k Enterprise customerEUR 150k+

Year two expansion

+50%

Customers typically grow their deal size by around 50% in the second year.

Revenue drivers

License+12% /y

Annual licence based on the number of active users on the platform.

Data storage+50% /y

Expands with the amount of engineering data stored over time.

Compute nodes+25% /y

Driven by data import volume and the calculations running on it.

Query nodes+25% /y

Scales with the amount of analysis and AI-driven querying.

All four revenue drivers are reflected in our financial plan, available on demand.

Contracts grow with usage

Go To Market08 / 13

A proven sales playbook, ready to scale.

01 Deal Source

Fairs, partners, word-of-mouth

Trade fairs in automotive and aerospace, partners (e.g. Bosch, Dr. Ecklebe, ...) and word-of-mouth between engineers. We sponsor 50+ student teams from top universities.

~40%partner sourced

02 Proof of Concept

2-3 month paid PoC

The customer pays to run their own data through Marple. No free pilots, no unpaid trials. Proof happens on real workloads.

EUR 10-25kper proof of concept

03 Full Contract

Annual licence

Licence plus compute plus storage, paid up front. Only storage costs are billed quarterly. The PoC converts into a recurring contract.

EUR 50k ACVaverage initial deal

04 Expand

Expand

In enterprise deals we expand to new teams across the account. Every revenue driver, licence, storage, compute and query, contributes to growth.

+50%deal size, year two

Land on proof, expand on usage

Market Timing and Competition09 / 13

AI is fueling demand for data infrastructure.

The timing is right

EU defence is scaling fastEuropean defence R&D and test programmes are growing at record pace.

AI increased demand for standardised dataAgentic workflows only work on unified, harmonized data, not on raw files.

AI unlocks new budgetsAI initiatives open budget for data infrastructure that did not exist before.

Europe wants sovereign infrastructureEU rules and defence programmes push critical engineering data onto European platforms.

US competitors

Sift

$42Mraised

Nominal

$200Mraised

Revel.io

$150Mraised

Their fundraising validates the market.

Why Marple wins

EU defence and OEMs want EU suppliers.
Europeans buy from Europeans: in-person visits and cultural proximity build trust.
A superior product, preferred by engineers in head-to-head evaluations.
A sustainable track record: profitable for the last three quarters.

Marple is already winning in Europe. Now is the time to expand aggressively.

Aerospace - automotive - manufacturing

Our Ask10 / 13

EUR 2M

Raising EUR 2M in equity, to scale Marple toward EUR 4M ARR by 2028.

Sources of funds EUR 2.5M total, of which EUR 2M equity

EUR 1–1.5M new investors EUR 0.5–1M current investors EUR 500k subsidies (VLAIO)

Use of funds

Enterprise expansion40%

Land and expand inside enterprise accounts, average deal EUR 50k to EUR 75k+

Platform & agent engineering35%

Agent framework, anomaly detection, on-prem and VPC hardening

Partner channel15%

Distributors and OEM partnerships (Bosch, Dr. Ecklebe, Cosworth)

Operations & runway10%

Team, infrastructure and buffer

Profitable, capital-efficient, scaling up

The Plan11 / 13

How we scale up to EUR 4M ARR.

Scaling further

2030

Full US presenceA US entity and go to market team, built on the exploration accounts.

EUR 10MARR

2032

Exit optionalityHardware manufacturers (Bosch, Cosworth), engineering software (MathWorks, NI) or a competitor.

EUR 25MARR

Team12 / 13

A founding team with deep industry experience in motorsport, aerospace and building companies.

Matthias Baert

Co-founder & CEOFormer F1 engineer at Mercedes-Petronas, aerospace engineer

Nero Vanbiervliet

Co-founder & CTOFormer software & IoT professor, cybersecurity expert

Go To Market Advisors

Willem DumonSerial entrepreneur, exited FleetMaster in 2021

Vincent JocquetCommercial mentor, investor and entrepreneur

R&D Leadership

Jan ScheersEngineering lead, experience in US startups

Karen HilgertMathematician, expert in optimisations and heuristics

Industry partners

Built from inside the problem

Engineering data is the next competitive advantage.

Marple is building Europe's AI-ready data layer for teams developing high-performance hardware.

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