Enterprise Data, Without the Extraction Request.
Datlyne exists because realistic enterprise data is almost impossible to get hold of. The teams who need it, to build, to test, to train a model, to run a demo, spend months on extraction requests and compliance reviews, and often still hear no. Datlyne builds that data instead and sells it as a digital product: synthetic enterprise datasets you own outright, with a REST API when you need them live.
Make Enterprise Data a Solved Problem.
The idea for Datlyne was born inside real projects. For almost two decades we implemented ERP, CRM, and B2B applications across manufacturing, energy and natural resources, consumer goods and retail, transportation and logistics, engineering and construction, telecommunications and media, healthcare, and aerospace and defence, spanning more than 40 sectors in all, and every project stalled at the same wall: teams needed realistic data to build, test, train, and demo, and getting it took months of extraction requests and compliance reviews. Too often the final answer was simply no.
Datlyne turns that work into a product: enterprise datasets you can buy outright, and a REST API to read them live.
Our mission is to help every team that builds on enterprise data: developers who need production shaped records, AI teams that need training corpora, analysts who need honest numbers, and researchers who need data they can share. Great software should never wait on data access.
Data You Can Use on the Day You Buy It.
Three things decide whether synthetic data is worth anything in practice: whether it holds together, how fast you can get it, and what you have to sign to use it.
Every join holds.
Referential integrity across every table and every transaction record, so the data behaves like a system you can query rather than a pile of rows that happen to look right.
Minutes, not months.
Download it straight after checkout, in every format the dataset publishes. No extraction request, no NDA, no waiting on a team that has more urgent work.
Nothing to clear.
No real person and no real company appears in any record, so there is no compliance review standing between you and your first query.
What We Stand For
Practitioner Truth
Every dataset is modeled and reviewed by people who configured the source systems it mirrors.
Privacy by Construction
Fully synthetic from day one. No real records ever enter the pipeline, so nothing can leak.
Speed for Builders
Minutes from checkout to usable data. No extraction queues and no approval chains.
Transparent by Default
Public pricing, versioned datasets, and documented methods. You always know what you are buying.
Where We Come From
Seventeen years inside enterprise systems, across the domains our datasets cover.
ERP Implementations
Finance, procurement, inventory, and production modules for tier 1 and tier 2 platforms.
CRM & Sales Operations
Pipeline design, activity management, and forecasting for B2B sales organizations.
Industrial Data Management
Master data, shop floor integration, and analytics for manufacturers and miners.
Enterprise Integration
APIs, middleware, and migration programs connecting the systems that run the business.
See What the Team Behind the Data Built.
Every dataset we publish is in the catalog. Tell us what you are building and which systems it needs to mirror.