Integration complexity
Source count and type, API or file access, authentication and connector work.
Forward-deployed engineering
Logistics Data Lab works alongside your engineers to build and deploy a defined data solution in the systems where it will run.
The delivery model
Your systems. Your infrastructure. Your solution.
A defined project
The price reflects what must be connected, how the data needs to be transformed and where the solution must run—not just the number of rows.
Source count and type, API or file access, authentication and connector work.
Volume and history, record quality, entity relationships and business rules.
Target outputs, deployment, testing, documentation, acceptance and handover.
Data and environment
The client’s development environment is preferred, so source data and the implementation stay within the client’s approved controls. Access, permitted data use, confidentiality, security roles and intellectual-property ownership are agreed before implementation begins.
If access cannot be provided quickly, a dedicated temporary VM or VPS can be created solely for the project—with client approval. Its setup, access, data handling, migration, retention and deletion are agreed before work starts.
Start with the outcome
We’ll scope the sources, target behavior, environment, acceptance criteria and fee.
Discuss a project →