Home Product Intelligence Solutions Security Enterprise Company Pricing Request Access
Solutions — Enterprise

Decision intelligence for complex organizations.

Lapteusé can structure operational context around consequential decisions — connecting authorized data, objectives, constraints, decision history and outcomes without reducing organizational judgment to a generic dashboard.

Designed for complex environments · Architecture can extend to your context

Four Pillars

Governance first. Intelligence second.

01

Context Isolation

Organizational, client, role, data-category and task boundaries keep intelligence scoped.

02

Governance

Policies define who can access, what can be retrieved and which actions require review.

03

Decision Memory

Complex organizational decisions preserved with rationale, expectations and outcomes.

04

Scalable Intelligence Processing

Database first, retrieval second, reasoning only where required.

Use Cases

Where organizations carry consequential decisions.

Capital Allocation
Strategic Initiatives
Customer / Client Intelligence
Executive Decision Preparation
Complex Account Intelligence
Operational Risk Review
Institutional Knowledge Continuity
Enterprise Architecture

From source systems to outcome memory.

Source Systems→ Ingestion→ Evidence Classification→ Structured Context→ Intelligence Graph→ Signals→ Decision Environment→ Human Review→ Outcome Memory
Scale

Scale intelligence without flattening context.

A larger client book should not mean every query processes every client history. Retrieval, compact client states, permissions and model routing keep intelligence scoped to the task.

ISOLATION BY RELATIONSHIP

  • Organization boundary
  • Client boundary
  • Role boundary
  • Data-category boundary
  • Task boundary

GOVERNANCE BEFORE SCALE

  • Who can access
  • What can be retrieved
  • Which actions require review
  • Which integrations are permitted
  • Retention and audit policy
EFFICIENT INTELLIGENCEDatabase first.Deterministic systems answer deterministic questions.
Retrieval second.Compact client states, scoped to the task.
Reasoning only where required.Caching, background processing, task-based model routing.
∞ 100 clients does not mean 100 histories per question.
For book-wide questions: filter → identify relevant clients → retrieve compact states → reason over the selected subset.
Enterprise

Bring decision memory to complex organizations.

Discuss scope, governance and deployment for your environment.

Request Access Security & Governance