We start from the decision you need to make, not from the database you need to buy.
Isolated data shows facts. Connections reveal the context.
DataFrog connects data, entities and relationships to reveal risks, patterns and opportunities that isolated analysis does not show, and to support decisions with more context.
Relationships, sources and criteria to support analyses your team can explain and review.
Expertise in enterprise and open source technologies, with selection guided by your scenario.
Gathering data is not enough. You need to understand the connections.
Customers, companies, transactions and documents are already part of your operation. DataFrog combines graphs, AI and data engineering to turn that information into a connected view of the business.
- Connect what is scattered. Relate entities, events and sources that are analyzed separately today.
- Reveal the context. Identify patterns, dependencies and paths that help explain risks and opportunities.
- Support the next decision. Bring the analysis into investigations, indicators, APIs and the flows of your operation.
Your data. More context. We work on the client's data and authorized sources. Our focus is intelligence about relationships, not selling databases.

The context is connected.
The visualization depends on the decision.
Not every answer needs to be a graph. We design the experience for the question and for whoever will use the analysis, in the format that fits the scope of the solution.
Which assignors share the same controller?
Follow the paths that explain the relationship.
Explore who connects to whom and check the sources that support each link.
Where connection analysis changes the outcome.
Pick your sector and explore how relationships, context and evidence can support your operation's decisions.
Fraud, risk and credit read on the same network of accounts, companies, devices and addresses.
Fraud prevention & AML
Relationships between accounts, devices and transactions to prioritize investigations.
Risk & Compliance
Economic groups, counterparties and conflicts of interest seen as a network.
Credit & receivables
Economic groups, assignors and payers in the context of credit analysis.
The right technology for the problem. Not the other way around.
Our expertise combines enterprise graph technologies, open source ecosystems, analytics and AI. Specialized curation turns business requirements into a well-grounded architecture choice.

Robustness for the corporate context
Assessment of support, security, integration, availability and scale requirements.
Flexibility with technical criteria
Selection by maturity, license, total cost, operations and fit for the use case.
The choice has to make sense for you
Volume, latency, queries, budget and team capacity guide the recommendation.
Technology does not define the interface
Graphs, maps, tables, dashboards or AI, according to the question and the scope of the solution.
The recommendation is grounded and validated in your context. Requirements, total cost and operations guide the choice of components.
Discover what your data can reveal together.
In a free 2-hour diagnosis, we organize the challenge, the sources and the relationships worth investigating. The next step is a proof of value with a defined scope.