Product Portfolio 2026

AI Products That
Deliver Results

Enterprise-grade AI solutions purpose-built for complex industries. From claim processing to speech analytics — rapid deployment, transparent pricing, real impact.

Explore

AI-Native Processes for Complex Industries

We don't ship tools — we redesign entire workflows the AI-native way. Each product replaces a legacy process end-to-end, delivering a fundamentally new way of working with rapid deployment and all-inclusive pricing.

AI Transformation Management Platform

Stop Wasting 80% of Your AI Transformation Budget

Manufacturing companies (regional EU-specific, complicated processes, 1–20k employees) with decentralized data & processes struggle to centrally govern AI. Limited budgets make this especially hard compared to financial institutions.

Chief AI Officer AI Transformation Leader
Deploy 1–2 weeks
Pricing Monthly fee (all-inclusive)
Clients
Bull Ceva Siemens HE

Consultative IQ

Stop losing 80% of information in your communication data

Complex B2B services — consulting, manufacturing, tech resellers, distributors, financial services, corporate banking. CRM is not enough to develop business (quick proposals, team management, communication history).

Account Director Client Service Director Sales Director
Deploy 1–2 weeks
Pricing Monthly fee (all-inclusive)
Owner David Vopelka
Clients
DataSentics
Visit consultativeiq.ai

ClaimSense

10x Faster Claim Processing for Your Team

Companies selling complex products with case-based reactive support (manufacturers, insurance, banks, logistics). Impossible to automate before LLMs — human-heavy process focused on collecting info from documents & manual validations.

Claim Manager Customer Support/Care
Deploy 1–2 weeks
Pricing Monthly fee or per case
Owner Jakub Zanka
Clients
Tuito Pillow
Visit claimsense.app

Comms Inspector

Speech to text for EU enterprises — sovereign, at scale, cost-optimized

Companies with large call centers (banks, insurers…). US-based solutions are too expensive and generic — our HW + advanced solution + services provides a competitive edge.

Customer Support/Care Chief Data/AI Officer
Deploy 2–3 months
Pricing Flat fee or SaaS
Clients
Homecredit PH NBG

TechBuddy

10x productivity of technicians by AI on top of all the documentation

SMEs: technical services companies (distributors/resellers, e.g. heat pump installation). Lacking internal Data/AI competences to build and maintain solutions on their own.

Customer Support/Care CEO
Deploy 1–2 weeks
Pricing Monthly fee / SaaS
Owner Vaclav Maixner
Clients
Acond

Shelf Inspector

Transform fuel stations into retail stores

Fuel stations lacking internal Data/AI competences to build and maintain computer vision solutions on their own. AI-powered shelf monitoring to optimize retail performance.

Chief Data/AI Officer Commercial Director
Deploy 2–3 months
Pricing Flat fee or SaaS
Owner Petr Dvorak
Clients
Orlen Red Bull (tool only)

CZ → DE / FR / NL Expansion Playbook

A focused, repeatable strategy to activate partner sales teams across Europe — without losing their attention.

The old way doesn't work. Presenting 50 sales reps with 150 things to sell is massively inefficient — backed by 4 years of data. We lose their attention and nothing gets sold. We need a fundamentally different approach.

Step 1

Pick a Trending Product

Select a product we truly believe in — one that has a clear, proven cold-sales success story from the CZSK market.

How it works

We choose a product where we have a concrete cold-outreach win: someone cold-called a company, booked a meeting, and it turned into a real deal.

The product must have momentum — not just a concept, but real traction with paying clients or hot leads in the pipeline.

Current example

ClaimSense — Lukas G. cold-called, booked meetings, and we now have 2–3 hot leads from pure outbound.

Step 2

Show the Full Cold-Sales Flow

Walk partners through exactly how we sold the product cold in CZSK — end to end, no hand-waving.

Why it matters

Partners need to see the real playbook: who was called, what was said, how many attempts it took, and how the deal progressed.

This isn't a pitch deck — it's a live walkthrough of actual outbound success. When they see it works, they believe it.

Key principle

"Here's exactly how Lukas closed this cold — and you can do the same in your market."

Step 3

Deliver a Ready-Made Target List

Hand partners a curated list of ideal companies to call in their market — ready to go, zero prep needed on their end.

How we build it

We use ChatGPT to generate lookalike company lists: "Find companies similar to DrMax in France/Germany" — and it works remarkably well.

The list is specific, actionable, and tailored to the product's ideal buyer profile. Partners get names, not theory.

Example prompt

"List 30 mid-size insurance companies in Germany similar to [CZSK client] with 500–5000 employees that handle claims manually."

Step 4

Trigger the "I Want That Too" Effect

When partners see a working playbook + a ready target list, they naturally want to replicate the success.

The psychology

Instead of pushing 150 products and hoping something sticks, we give them one product with proof it works and everything they need to run a campaign.

This triggers a "wow, I want to do that too!" reaction — they self-organize an outbound campaign and start calling through the list on their own.

Expected outcome

Partners voluntarily commit to running a focused outbound campaign on the target list — no arm-twisting needed.

Step 5

Weekly Accountability Loop

Keep the pressure on with weekly check-ins — how many calls were made, how many meetings booked, what's the pipeline looking like.

Making it stick

The campaign only works if partners actually execute. Weekly cadence keeps momentum alive and surfaces blockers early.

Right now we're building this muscle — once we have 5+ signed contracts (not just leads), we can push harder on accountability.

Weekly check-in format

"How many from the list did you call? Any meetings booked? What objections are you hearing?" — simple, direct, results-focused.

We Don't Need 40 Old-School Reps — Just the Right Ones

1–2 hungry, Lukas G.-type salespeople per market is all it takes.

🇩🇪 Germany
M
Mehmet Young gun, hungry
C
Can Young gun, hungry
🇳🇱 Netherlands
R
Rocky Key partner contact
🇫🇷 France
3
3 New Reps Recently onboarded

Product Comparison

A quick reference across all products — deployment, pricing, and ownership.

Product Buyers Pricing Clients Deploy Owner
AI Transformation Mgmt Platform Chief AI Officer AI Transformation Leader Monthly fee (all-inclusive) Bull Ceva Siemens HE 1–2 weeks Adam Michalek
Consultative IQ Account Director Client Service Dir. Sales Director Monthly fee (all-inclusive) DataSentics 1–2 weeks David Vopelka
ClaimSense Claim Manager Customer Support Monthly fee or per case Tuito Pillow 1–2 weeks Jakub Zanka
Comms Inspector Customer Support Chief Data/AI Officer Flat fee or SaaS Homecredit PH NBG 2–3 months Jirina Nedbalkova
TechBuddy Customer Support CEO Monthly fee / SaaS Acond 1–2 weeks Vaclav Maixner
Shelf Inspector Chief Data/AI Officer Commercial Dir. Flat fee or SaaS Orlen Red Bull 2–3 months Petr Dvorak

Ready to explore a product?

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