WaveSixVeraThe ask
Vera Intelligence · by WaveSix

The intelligence layer for enterprise AI transformation.

Vera interviews your entire workforce, maps how work really happens and shows where AI creates value. In days, not months.

Go to pitch€2.5M ask
01 · The problem

Enterprises have three problems today.

No visibility
“How does work really happen here?”
Leaders can't see processes, bottlenecks and skills across teams.
No clear starting point
“Where do we start with AI?”
AI budgets are spent on guesswork instead of proven value.
Slow & expensive discovery
“Why does it take months?”
Consulting-led analysis is costly and reaches only a few people.
The resultAI stays stuck in pilots.

Enterprises can't automate what they don't understand.

How your company really runs lives in your employees' heads: the workarounds, the inefficiencies, the undocumented knowledge. Any AI strategy built on a few senior interviews is guesswork, not evidence.

Every company wants to adopt AI. Vera tells you where to start.

Vera runs AI interviews across your entire workforce to discover what's broken and distills hundreds of conversations into a clear, intelligent path forward.

02 · The product

Vera, the transformation engine.

Vera app: an employee starts a voice conversation with Vera

Define a goal

// 01

Work with Vera to outline what you want to learn

Describe what you want to learn
Set mandatory questions
Flag topics to avoid
Understanding bottlenecks
A short, focused conversation where each employee shares where AI or automation could help in their work.
20 min
122 people
Welcome, Alex
00:17

Talk to Vera

// 02

Every employee has a conversation with Vera

Feels like a real conversation
Tailored with personal context
Attend when it suits you

Gain insights

// 03

Every conversation is aggregated into actionable insights

Built from every conversation
Distilled into clear actions
Traceable to the source
KEY FINDINGSVera Intelligence
Manual workflows consume ~3.6k hours per month
~3.6k h
per month
~€2.2M
per year
Reporting~1,900 h
Order handling~1,300 h
Data entry~250 h
Status tracking~150 h
CONTEXT LAYER+1 interview
CompanySalesFinanceOperationsITReporting
122
interviews
1,480
processes
9.6k
links

The organizational intelligence layer

// 04

We are building the intelligence layer of the enterprise, a knowledge graph that grows with every interview

Maps people, processes and tools
Compounds with every conversation
Powers every future AI decision
03 · Our vision

Europe's leading AI-native transformation company.

We are defining a new category: Transformation as a Product, powered by Vera.

01
Fast
Insights in weeks, not months.
02
Compounding
Every interview builds lasting context.
03
Scalable
Growth driven by product, not headcount.
04 · Team

Serial entrepreneurs and AI operators.

An unfair advantage in enterprise transformation.

Alex Schindler
CEO
Alex Schindler
Ex-Head of AI Center of Excellence
Robin Rohrmann
COO
Robin Rohrmann
Rocket Internet · exited Pacemakers
Dr. Peter Henssen
CPO / CFO
Dr. Peter Henssen
Ex-Accenture Ventures · exited Pacemakers
Gregor
CTO
Gregor
Ex-Founder markets.sh
05 · Why now

The market is repricing enterprise value.

−52%
Consulting is being disrupted
Accenture YTD
−34%
Software is losing its moat
Salesforce YTD
TaaP
The new category
Product engine + embedded services
06 · Business model

The KPI that matters: customer lifetime profit.

Same client, three business models. High annual revenue only compounds into profit when the relationship recurs.

Enterprise consultingEnterprise softwareTaaP · WaveSix
ARPA
Revenue per client per year
€200k
€100k
€105k
CLT
Customer lifetime in years
1
5
5
CLTV
Lifetime Gross Profit per client
€66k
€391k
€404k
CLTP
Lifetime EBITDA per client
€16k
€116k
€221k

Our business model has superior profit per client economics, making it highly attractive and sustainable.

07 · Success cases

Proven across the whole transformation journey.

Körber
Global AI strategy
AXA
AI back-office
Academy
GenAI learning platform
Uelzener
AI health companion
85%
of engagements map to the campaign engine
70%
used knowledge gathering, the graph at the core
08 · Go to market

Riding the wave in disciplined phases.

We built a profitable consulting business. This funding turns it into a product company with a services arm.

Product revenue share
% of total revenue from engine subscriptions
0%
35%
71%
2025
Discovery engine
Market access, brand and distribution built.
Bootstrapped
WE ARE HERE
2026
Transformation engine
First POCs with existing clients; product team hired.
Pre-Seed · this round
2027/28
Scale in DACH
Campaigns sold as subscriptions; product becomes the core.
Seed
2029/30
Expand Europe-wide
Proven engine rolled out across Europe.
Series A
09 · Market sizing

An immense opportunity.

Market sizing as of 2032, average of top-down and bottom-up.

€217bn
€47bn
€205m
TAM
AI-led transformation, global
€217bn
SAM
Europe
€47bn
SOM
Obtainable for WaveSix by 2032
€205m
10 · Competitive landscape

Only TaaP combines every strength.

ConsultanciesBig tech armsAI-nativeTaaP
Recurring revenue
Embedded services
Cross-functional context
SpeedMonthsWeeks+WeeksWeeks
EU market access
EU sovereignty
EU data sovereigntyGDPR by designWorks-council friendlyEU AI Act-ready
11 · Traction

Profitable today. Product company by 2030.

The best part? We have built the market access and trusted relationships already.

KörberAXAERGOshareLVMHREHAUUelzenermarkiluxVOSSKörberAXAERGOshareLVMHREHAUUelzenermarkiluxVOSS
25
Enterprise clients
€1M
Revenue 2026 · profitable
37
Clients in pipeline
10
Team members
Today → 2030
From consulting-led to product-led
Revenue
€1M →
€27M
EBITDA
Profitable →
49%
Product revenue
0% →
71%
12 · The ask

Raising €2.5M to ship Vera.

€2.5M
Pre-seed
71% Product29% Growth
In 12–18 months
Product live
Vera running with enterprise clients
Paying customers
Product-market fit in DACH
Enterprise-ready
ISO 27001 · SOC 2 · EU AI Act
The enterprise transformation engine

Transformation is no longer a project. It's a product.

Robin Rohrmann
COO
robin@wavesix.ai