Olympus
Produces consumer intelligence from approved user and Heylu context.
LU ARK / SHARED INTELLIGENCE CORE · IN DEVELOPMENT
LEARN ONCE.
REUSE THE
INTELLIGENCE.
LU ARK is the developing shared intelligence layer behind Olympus and Perseus. Its role is to capture reusable knowledge, policies, evaluations and generalized learning while preserving strict separation between individual and enterprise data.
ROLE / 01
NOT ANOTHER
CHATBOT.
THE SHARED CORE.
ARK is not intended to be another user-facing assistant or a replacement for Olympus or Perseus. It is the platform layer that can coordinate what the LU ecosystem learns, validates and makes reusable.
Perseus
Produces business intelligence from approved tenant and operational context.
ARK
Receives generalized, policy-approved learning signals rather than unrestricted raw private data.
LU API
Distributes approved capabilities to products and enterprise systems through governed interfaces.
CORE SYSTEMS / 02
WHAT ARK
IS DESIGNED
TO MANAGE.
KNOWLEDGE ENGINE
Organizes reusable platform knowledge without turning private user or company memory into global context.
LEARNING ENGINE
Converts approved outcomes and evaluation signals into candidate patterns that can improve future decisions.
POLICY ENGINE
Applies platform, product and tenant-specific rules before models or tools can act.
EVALUATION ENGINE
Scores recommendation quality, tool outcomes, reliability and regressions before changes are promoted.
MODEL & AGENT REGISTRY
Tracks available models, specialist capabilities and routing constraints behind the LU boundary.
CAPABILITY REGISTRY
Defines which reasoning, grounding, planning, memory and action capabilities are available to each product or tenant.
LEARNING FLOW / 03
OUTCOMES BEFORE
GLOBAL LEARNING.
The architecture is designed to learn from what actually happened after a recommendation or action, not simply from clicks or raw conversation history.
INTENT
DECISION
ACTION
OUTCOME
EVALUATION + PRIVACY FILTER
GENERALIZED PATTERN → ARK
DATA MODEL / 04
THREE MEMORY
BOUNDARIES.
ARK only works safely if platform learning is architecturally separated from individual and tenant memory.
INDIVIDUAL MEMORY
Personal history and preferences stay scoped to the user and the products they control.
TENANT MEMORY
Company knowledge, customers, policies and operational history remain isolated to that organization.
ARK PATTERNS
Approved, privacy-filtered and generalized patterns can become reusable intelligence for the wider LU platform.
Share intelligence patterns, not private memory.
LU ARK DESIGN PRINCIPLE