Information is scattered
Relevant context appears in calls, inboxes, forms, tickets and documents. Turning it into a process step costs valuable time.
Platform
nalune is the technical foundation for teams that build themselves: API-first, multi-tenant, auditable and ready for productive AI in existing products and processes.
// platform
Conversations, emails, documents, forms, tickets and domain knowledge still have to be searched, documented and processed manually.
Relevant context appears in calls, inboxes, forms, tickets and documents. Turning it into a process step costs valuable time.
nalune connects existing systems, knowledge and AI models into an intelligent layer between information and operational execution.
Tasks, documentation, decisions and actions are created in a structured, traceable way and embedded into the systems your teams already use.
// ecosystem
Audio, documents, knowledge, integration and compliance — modular capabilities that work together in every flow.
Spoken content is automatically recognized and analyzed. nalune extracts usable information from it.
Documents are automatically recognized and read. nalune extracts content and makes it structured and searchable.
Domain knowledge, documents and compliance rules flow directly into AI for decisions in the right context.
nalune sends structured data to external systems automatically and integrates into existing software.
Complete traceability and audit paths. Every processing step is logged for audits and regulatory requirements.
The platform boundary every request passes through. It connects identities, permissions, tenants, audit trails and operating models into a production-ready foundation.
An information input becomes a structured process with steps, states and audit events. Decisions stay explainable and processes stay controllable.
friday. structures knowledge, sources and reasoning so AI does not just answer, but prepares decisions in the context of the company.
edith. helps close knowledge gaps and translate information into usable knowledge blocks so processes do not fail on outdated documents.
The reasoning layer connects rules, knowledge and models into traceable results: tasks, documentation, decisions and next steps.
nalune integrates embedded or server-to-server. Product teams keep data sovereignty and user context while nalune provides the AI process layer.
// research
Classic AI often guesses. nalune knows. With edith. as analyst and friday. as memory, knowledge is built, structured and stored permanently.
// RESEARCH AGENT
While friday. stores knowledge, edith. ensures new knowledge is created. It works like a digital research analyst: when the system detects missing knowledge, edith. starts the research automatically.
// AI-FIRST DATABASE
Classic databases store data. friday. stores knowledge. While tables and documents stay isolated, friday. structures information as connected knowledge units with source, time reference and trust level.
// KNOWLEDGE FLYWHEEL
Together they form a knowledge flywheel: every request builds new knowledge that is permanently stored and makes future decisions better.
Build knowledge structurally not just data collection
Traceable & citable for professional AI systems
Real knowledge foundation as a lasting result
nalune brings together integration, compliance, auditability, knowledge management and process automation so AI does not stop at a demo, but works in real operations.