Glossary
Plain-language explanations of the terms that come up in Redpine projects. Each term links to the service where it usually appears.
Integration & data.
Systems integration
Making separate software systems exchange data and trigger actions in each other, so information is entered once and stays consistent. It can be as simple as syncing records between two tools or as broad as coordinating a whole chain of business processes.
Related: Systems integration
API (application programming interface)
A defined set of rules that lets one program request data or actions from another without knowing how it works inside. APIs are the usual entry point for integrations, and their limits, such as permissions and request quotas, shape what an integration can do.
Related: Systems integration
iPaaS / integration layer
A layer that sits between systems and handles how they talk to each other: routing messages, transforming formats, retrying failures and logging what happened. iPaaS (integration platform as a service) is the hosted form of this layer; it can also be built and run as custom software.
Related: Systems integration
ETL / data pipeline
A repeatable process that extracts data from sources, transforms it into a consistent shape and loads it into a destination. A data pipeline is the broader term for any automated flow of this kind, whether it runs on a schedule or continuously.
Related: Data strategy & intelligence
Data warehouse & BI
A data warehouse is a central store that keeps cleaned, historical data from many systems in a structure built for analysis. Business intelligence (BI) is the reporting and dashboards on top of it, which let people answer questions without querying each system separately.
Related: Data strategy & intelligence
Platforms & apps.
Offline-first app
An application designed to keep working without a network connection, saving data on the device and synchronizing when a connection returns. It is common where coverage is unreliable, and it needs clear rules for resolving conflicting changes.
Related: Field and operational apps
Single sign-on (SSO)
A way of letting people sign in once with one identity and then access several applications without logging in again. It centralizes access control, so granting or removing a person’s access happens in one place.
Related: Software built to scale
Multi-tenant platform
A single application that serves several separate organizations or units, called tenants, while keeping each one’s data and settings isolated. It reduces duplicated infrastructure, but isolation has to be designed in from the start.
Related: Software built to scale
Audit trail
A chronological record of who did what, when and to which data inside a system. It supports accountability, investigations and compliance reviews, and it is most useful when entries cannot be edited after the fact.
Related: Software built to scale
LMS (learning management system)
Software for delivering training, enrolling learners and tracking their progress and results. It typically manages courses, assessments and completion records, and can report who has completed which training.
Related: Training platforms and games
Verifiable credential
A digital certificate, such as a course completion or a qualification, that can be checked for authenticity without contacting the issuer each time. It is typically cryptographically signed, so any alteration can be detected.
Related: Training platforms and games
AI.
Large language model (LLM)
An AI model trained on large amounts of text to predict and generate language, which lets it summarize, classify, extract and draft text. Its outputs are probabilistic and can be wrong, so they need validation where accuracy matters.
Related: AI with guardrails
Retrieval-augmented generation (RAG)
A technique in which relevant documents are retrieved from a trusted source and given to a language model along with the question. Answers are then grounded in that material and can point back to it, instead of relying only on what the model learned in training.
Related: AI with guardrails
Human in the loop
A design in which a person reviews, approves or corrects an automated or AI-generated result before it takes effect. It keeps accountability with people for decisions that carry risk.
Related: AI with guardrails