Tool inventory
Which AI tools, copilots and providers are in use across the team?
Early Access · Beta
AI usage you can explain.
In a few days, PANDR makes visible which AI tools your team uses, what data flows in and who may use the outputs — with clear rules you can show to customers, investors and procurement.
Start the free AI check
Book a call
Free · ~3 minutes · not legal advice
By Daud Zulfacar — co-founder of license.rocks: winner of the Deep Tech Award Berlin 2020 (Blockchain) and a Top-10 selection at the Deutscher Gründerpreis 2020. Years in B2B startups close to deep tech, President of BerChain.
AI reaches the team faster than the rules for it.
Tools, copilots and external models are already in use. What's often missing is the evidence: which tools run, what data they process, whether customer material is safe, and who may use the outputs commercially.
- Can you explain to customers, investors or procurement how your team uses AI?
- Which AI tools are actually in use — and who introduced them?
- Do customer data, internal documents or licensed datasets flow into models or prompts?
- Are provider terms, internal policies and output rights documented?
Clarity in three steps
- Start the check. Make tools, teams and workflows visible — the beta check takes about 3 minutes and is free.
- Assess the risks. Where does which data flow, where do rights and output questions arise. In the paid check with human review, not just automated.
- Get clear rules. A readable overview and policy you can use internally and show externally.
What the AI check looks at
A practical check for teams using AI tools, customer data, internal documents, generated content, AI-generated code, datasets, prompts or external model providers. The free beta check gives a first orientation; the paid check delivers the full map with human review.
Data source check
What data is uploaded, processed or embedded in prompts?
Customer material review
Is use of client and partner material in AI workflows appropriately governed?
Output rights assessment
Who may own, use or commercially share AI-generated outputs?
AI-generated code risk check
Licensing, security and usage risks from AI-assisted development.
Internal AI usage policy
Clear rules for permitted tools, data and workflows.
Risk map and recommendations
Prioritized risks and concrete next steps for operations and leadership.
Machine-readable policy layer (optional)
Rights and usage metadata where it helps future automation.
Start the free AI check
View the paid rights check
Free · ~3 minutes · not legal advice
Services
AI is already part of the team. Rules for data, rights and outputs often aren't. We help teams pragmatically assess AI use, data risks, usage rights and next steps.
AI Usage & Rights Check
In a few days, make visible which AI tools are in use, which data and content are involved, where rights and output questions arise, and which rules help immediately.
View check →AI Governance Workshop
A focused workshop for leadership and teams to align on shared rules, responsibilities and next steps for AI use.
Request workshop →Licensing & IP Strategy
Clarify usage rights, licenses and commercial boundaries for content, data, code and AI-generated outputs.
Discuss strategy →Policy & Automation Readiness
Document AI usage rules, rights metadata and internal policies today, so they can become machine-readable and operational tomorrow.
Request readiness →Why PANDR
PANDR is led by Daud Zulfacar in Berlin. The thread for years: licensing and intellectual property — translated into the AI era.
Before PANDR I co-founded license.rocks, a platform for digital licensing — winner of the Deep Tech Award Berlin 2020 in the Blockchain category and a Top-10 selection at the Deutscher Gründerpreis 2020. For years it dealt with the same core question that hits every AI team today: who may do what with which content, which data, which code — and can you prove it?
AI hasn't removed that question, it has sharpened it. Tools enter the team, often faster than the rules for them. That's where PANDR comes in — with clarity, before time and budget go in the wrong direction. We use technology where it solves a real problem, not because it happens to be the topic of the day.
In parallel I'm building the open ProofMeta protocol for machine-readable licensing and rights metadata. PANDR applies the same logic pragmatically today — through checks, advisory and policy work. As President of BerChain, I'm deeply rooted in Berlin's tech ecosystem.
Work & reference
Selected reference work — shows methodology and market understanding, not sold as a PANDR product.
Reference
Minerva
Reference project at the intersection of trust operator model, B2B go-to-market in Germany and regulatory AI in enterprise context — product, GTM and regulatory work underpinning PANDR's B2B readiness approach.
In validation
Experiments and pilots — deliberately not a finished product yet. We test where AI makes sense and where humans must stay in the loop.
Experiment
Hauszertifikat
Validation pilot: heuristically extract structured data from PDFs — including scans — and have domain experts (building physics) validate. Goal: learn which steps AI can take and which must remain human.
Built together with Renan Lelièvre — engineer & developer (modeling & simulation) with a master’s in applied mathematics.
Request pilot conversation →Who it is for
- AI-heavy startups and product teams
- Agencies using AI in client work
- Software teams using AI coding tools and copilots
- SMEs adopting AI internally
- Teams preparing for enterprise customers, investors or procurement
Frequently asked
What exactly do I get from PANDR?
A clear view of which AI your team uses, what data is involved and who may use the outputs — plus rules and an overview you can use internally and show to customers, investors or procurement. The entry point is the free beta check.
Is this legal advice or an AI Act audit?
No. PANDR provides orientation and clear rules from a product, data and business perspective. For binding legal questions we work with your legal team or counsel — we make usage visible so they can decide in the first place.
Doesn't our legal or security team already do this?
We don't replace them, we give them the basis. Legal and security can only govern what's visible and documented. That view of actual AI usage across the team is exactly what PANDR produces.
What does the check cost?
The beta check is free. Scope and price of the paid AI Usage & Rights Check are set after a short call — matched to your team size and the depth you need.
How long does it take?
The free beta check takes about 3 minutes. The paid check with human review delivers results within a few days.
What happens to our data?
Processing in the beta check on check.pandr.de is described in our privacy policy. Customer material and sensitive content belong in the paid check with human review, not in the open beta.
We're still very early — is it worth it?
Especially then. The earlier you know what's running in the team, the cheaper the corrections. Start free and without commitment with the beta check.
Contact
Questions about the check, a workshop or working together?
Book a call directly, use the contact form, or email hello@pandr.de — we'll get back to you soon.
Thank you — your message is on its way. We'll be in touch soon.