Unlock the value of your data
Your company’s data could be worth more than you think.
lalalab helps companies identify, protect and license valuable datasets, workflows and operational knowledge for responsible AI development. Qualified data partnerships may generate between €90,000 and €1.75 million+ Annual Recurring Revenue (ARR), depending on usable volume, quality, rarity, rights and demand.
Confidential initial assessmentNo immediate data transferYou remain in control
- Potential company partnership compensation
- €90K–€1.75M+Potential company partnership compensation
- Company compensation per qualifying terabyte
- From €30K+Company compensation per qualifying terabyte
- Potential referral reward
- Up to €44KPotential referral reward
Indicative amounts only. Actual company compensation depends on the quality, usable volume, uniqueness, rights, permitted use and commercial demand for the dataset.
The asset you already own
Your company already creates valuable intelligence.
Every day, organisations generate examples of how work is performed, decisions are made, problems are solved and outcomes are achieved. For the right frontier AI model or AI application, this information can be more valuable than generic data found online.
Decisions and outcomes
Records connecting available information, an action or decision and the eventual result.
Operational workflows
Examples of how teams complete complex work across systems, documents and tools.
Specialist datasets
Industry-specific information that is difficult to recreate or obtain elsewhere.
Human expertise
Reviews, corrections, assessments and judgements produced by experienced teams.
Real-world interactions
Support cases, exceptions, conversations and other examples of actual situations.
Performance data
Examples showing what worked, what failed and how results changed over time.
Commercial value
What could your company's data be worth?
Qualified company datasets and recurring data partnerships may generate between €90,000 and €1.75 million+ in compensation. As an initial indication, companies may receive from approximately €30,000 per qualifying terabyte. Storage volume alone does not determine value: a small, specialised dataset with verified outcomes may be worth considerably more than a much larger generic dataset.
No data upload is required for the initial assessment.
“The most valuable datasets do not simply show what happened. They show what information was available, what decision was made and what outcome followed.”
What qualifies
What kinds of company data could be valuable?
The most useful data usually captures how real work is performed, how decisions are made or what outcomes occurred based on your current software and processes.
Software & engineering
The way engineers debug, review and ship code across real repositories, tickets and tooling.
Sales & CRM
The path a deal travels from first outreach to signed close inside the CRM.
Finance & accounting
The steps teams take to reconcile accounts, process invoices and prepare reporting end to end.
Customer support
The way agents diagnose and resolve tickets across several connected systems.
Legal & contracts
The route an agreement takes through review, redlining and negotiation to final terms.
Operations & logistics
The day-to-day handling of orders, and what happens when exceptions appear.
Healthcare and life sciences
The way clinical pathways, records, imaging and research data are captured and acted on.
Recruitment and HR
The journey from scoping a role to assessing candidates and reaching a hiring decision.
Other sectors
Any proprietary way of working where the resulting data is difficult to source elsewhere.
Not sure where yours fits?
Run the data potential check and we will tell you whether your way of working is commercially relevant.
Human intelligence
Better AI starts with the people who do the work.
The value in your organisation is created by people making judgements every day. We help you frame it, protect it and licence it on your terms.
The process
From existing information to a protected data partnership.
The process is staged and reversible. The initial assessment does not require a data transfer.
- 1
Assess
We learn what information the company holds and evaluate its possible relevance. No data transfer is required for the initial conversation.
- 2
Define
Together, we identify what may be included, what must be excluded and which legal, privacy and commercial conditions apply.
- 3
Prepare
Approved information is selected, structured, cleaned, anonymised, pseudonymised or otherwise protected as agreed.
- 4
Match
lalalab identifies suitable commercial use cases and potential buyers. No use proceeds outside the agreed scope.
- 5
License
When an opportunity is approved, permitted use, compensation, restrictions, retention and other terms are documented.
- 6
Grow
Successful partnerships may expand into recurring contributions, new approved datasets or evaluation programmes.
Trust & control
Your data. Your boundaries. Your decision.
Exploring a data partnership should not mean granting unrestricted access to company systems or sensitive information. Each partnership is designed around agreed permissions, protections and use restrictions.
You define the scope
Your company determines which sources, datasets or workflows may be considered.
Sensitive information is addressed
Personal, confidential or commercially sensitive information is identified and handled according to the agreed process.
Use is documented
Permitted applications, recipients, retention periods and restrictions are contractually defined.
Ownership is protected
The company retains its existing rights to the underlying information unless explicitly agreed otherwise.
Review and approval
Defined review and approval moments sit in the process before prepared assets are released.
Controlled access
Secure, restricted and auditable environments are used where the opportunity requires them.
The honest answer
A data partnership should strengthen your position — not undermine it.
The purpose is not to copy your business or provide unrestricted access to everything your organisation knows. A partnership can be restricted by specific use cases, approved buyers, industries, geographies, time periods, products, models, competitive uses, retention rules and deletion requirements.
Compensation
A partnership — not simply a one-time data sale.
Depending on the opportunity, compensation may combine several components rather than a single payment.
- Initial dataset licensing for an approved historical dataset.
- Recurring compensation for newly generated, approved data.
- Data-preparation fees linked to selection, organisation or validation work.
- Premiums for rare, regulated or difficult-to-reproduce information.
- Additional compensation where defined exclusivity is requested.
- Evaluation partnerships involving new cases, outcomes, expert feedback or benchmark data.
Referral programme
Know a company with valuable data?
Make the introduction. If the company qualifies and enters into a successful data partnership with lalalab, you could earn a referral reward of up to €44,000.
Takes approximately two minutesDo not submit confidential informationRewards are subject to qualification and referral terms
Fit criteria
Could your company qualify for a six- or seven-figure data partnership?
Your information does not need to be perfectly organised. The first step is to understand what exists, whether it is commercially relevant and whether the potential value justifies further preparation.
- The organisation owns or controls the relevant information.
- The data represents real activities, decisions, expertise or outcomes.
- The information is difficult to reproduce or obtain elsewhere.
- Meaningful volumes of usable information may be available.
- The organisation can identify the relevant rights and permissions.
- The data can be prepared without exposing unnecessary sensitive information.
- There may be potential for new recurring contributions.
- The data addresses an active AI-development or commercial need.
Built by experienced technology, data and company builders.
We publish partner names, case studies and metrics only once they are verified. Until then, we would rather show you our process than invent proof.
Questions
The questions decision-makers ask first.
Straight answers on value, control, rights and process — without overstating what we can promise.
Find out whether your company is sitting on a valuable AI data asset.
Start with a confidential assessment. Tell us what kind of information your organisation holds — without uploading the data itself.
No obligationNo immediate data transferConfidential initial review