Company Profile — Enterprise Data
Black Tiger
The data company that fixes your data without moving it - connecting to systems where they already live, then cleaning, deduplicating and verifying in real time.
The data company that fixes your data without moving it - connecting to systems where they already live, then cleaning, deduplicating and verifying in real time.
Most data projects don't fail loudly. They stall in an 18-month migration that never quite ships.
Black Tiger sells the opposite bet. Instead of hauling an organization's records into a new warehouse, its platform connects directly to the databases and applications a company already runs. A "virtual index" reads that data where it sits, and the platform layers cleaning, deduplication, verification and governance on top - in real time, and, the company argues, without the migration risk that sinks so many projects.
The pitch is deliberately unglamorous. There is no promise to reinvent the enterprise. There is a promise that the data project will actually be delivered - the company frames its own mission as guaranteeing "the deliverability of data projects." For data leaders who have watched budgets evaporate into stalled implementations, that is the part that lands.
Headquartered in Paris with an office in New York, Black Tiger works deepest in France and Belgium, where its verification data runs richest. Its customer roster - Honda, OVHcloud, the hearing-care group Audika - spans automotive, cloud, retail and beyond. The through-line is not an industry. It is the shared problem of not being able to trust your own records.
Behind the modern platform sits an older story: a stated conviction, dating to 2014, that personal data should be used ethically - a full year before GDPR-style rules would make that fashionable, and long before "data quality" became an AI prerequisite.
Figures drawn from Black Tiger's public materials; team size per third-party records. Treat as approximate.
Enterprise data is scattered across silos, duplicated, half-verified and rarely compliant by default. Black Tiger's argument is that you can fix most of that without a rip-and-replace.
The problem. A large company's customer, product and supplier records live in dozens of systems that don't agree with each other. The same person exists three times; an address is stale; a consent flag is missing. Traditional fixes mean migrating everything into one platform - slow, expensive and risky.
The approach. Black Tiger's virtual index connects to those systems in place. Its data-quality engine applies business rules - expressed, increasingly, in natural language and AI-assisted - and a single deduplication engine reconciles people, companies and products at once. Sensitive data stays inside existing systems.
Who it's for. Enterprises and mid-market firms in automotive, banking, insurance, retail, energy and healthcare - teams under pressure to deliver trusted data for analytics, marketing, compliance and, now, AI.
What you can do with it. Unify a customer view, run instant extractions for analysis, keep marketing lists clean, satisfy GDPR data-subject requests in real time, and verify contact and identity data against expanding coverage in Belgium and France. As one Honda manager put it, the point is to spend time on the business, not on the data.
"Data analysis is key for us. We need to perform extractions anytime for quick analyses, which Black Tiger enables. Honda manufactures products, not data."
A platform organized around one idea: connect, clean, verify and govern - without moving the data.
Connects directly to existing databases and cloud or on-premise apps via pre-built connectors and REST APIs, with real-time and batch processing - no migration.
Natural-language business rules plus a multi-object deduplication engine for individuals, companies and products, with automated monitoring and validation.
An end-to-end, GDPR-compliant personal data platform handling data processing, subject rights, consent and risk in real time.
Real-time and batch verification of contact and identity data with KYC/AML-ready features and deepening coverage across Belgium and France.
A master data layer that unifies customer, company and product records into one trusted, reconciled view across systems.
Expert consulting and stewardship support to design rules, govern data and get data projects across the finish line.
Black Tiger positions itself against consumption-priced incumbents on two axes: speed of rollout and predictability of cost. The bars below reflect the company's own stated positioning, not independent benchmarks.
No data migration. By reading data in place, Black Tiger keeps sensitive information inside the systems that already hold it - reducing both risk and rollout time.
Fixed-price licensing. Where many rivals bill by consumption, Black Tiger sells predictable licenses - a trade of elasticity for a number a CFO can forecast.
Business-user first. A low-code interface with role-based access, audit trails and built-in stewardship aims to let non-engineers self-serve without breaking governance.
Alternatives in the category include Informatica, Talend, Semarchy, Reltio, Ataccama, Collibra and data-virtualization player Denodo.
More than 100 organizations across automotive, banking, insurance, retail, energy and healthcare. Publicly referenced names:
B2B SaaS on fixed-price licensing, plus expert data services and implementation. Revenue estimated around 5M USD.
Funding: raised approximately 14.5M EUR (~15.95M USD), dated to early 2023, with backing from investors including finance.brussels and Arcole.
The founding belief takes shape - personal data should be used responsibly, before regulation demanded it.
Black Tiger begins tackling personal-data challenges with its 2i solution.
CIO Applications Europe names Black Tiger a leading GDPR vendor for the 2i platform.
CIO Review Europe features Black Tiger as a top data-integration solution company.
Growth funding arrives from investors including finance.brussels and Arcole.
Coverage deepens to 87% in Belgium and 55% in France as verification becomes a focus.
Black Tiger sits inside the crowded market for data quality, master data management and data integration - a space dominated by large, consumption-priced incumbents. Its wedge is a combination that is unusual rather than unique: virtual-index access instead of migration, fixed pricing instead of usage billing, and a business-user-friendly, low-code surface.
The expertise runs deeper than the platform's age suggests. The company points to decades of data experience and its Belgian operation cites roughly 30 years in personal data - the kind of long apprenticeship that shows up in the unglamorous details of deduplication and governance.
"AI is only as good as your master data."
That line captures the company's current market timing. As enterprises rush to deploy AI, Black Tiger's argument - clean the foundation first - reframes an old discipline as an AI prerequisite.
Product demos, executive interviews and platform walkthroughs from Black Tiger's own channels.
It provides a data platform that connects to an organization's existing systems and automatically integrates, cleans, deduplicates, verifies and governs data in real time - without requiring a full data migration.
Its virtual index reads data in place instead of migrating it, it uses fixed-price licensing instead of usage-based billing, and it targets rollouts of 2-3 months rather than 6-12 months.
Enterprises and mid-market firms in automotive, banking, insurance, retail, energy and healthcare, including publicly referenced customers such as Honda, OVHcloud and Audika.
The company is headquartered in Paris, France, with operations across France and Belgium and an office in New York.
It has raised approximately 14.5 million euros (about 15.95 million USD), with backing from investors including finance.brussels and Arcole.
Sources: Black Tiger website & blog, LinkedIn, Crunchbase, PitchBook, Tracxn, CIO Review Europe. Financial and headcount figures are approximate.