Institutional intelligence systems

Build the system behind the decision.

Pluri designs, builds, and operates intelligence systems in-house—where complex information must become clear, defensible action.

Designed in-house Built in-house Operated by Pluri

For work that cannot rely on a black box.

Source-aware Inspectable Operational Built by Pluri

The Pluri standard

Accountability does not end at the interface.

Most AI presentations stop at a model or a prototype. Pluri takes responsibility for the whole system: its sources, logic, user experience, evaluation, and operating reality.

Explore capabilities

Public systems

Proof that the work is Pluri’s.

These are not third-party implementations. Pluri designed and built both systems in-house, from product behavior and interface design to the underlying intelligence architecture.

Public deploymentInstitute for Healthcare Advancement

Search infrastructure for a health-literacy resource.

Pluri designed and built the complete system. Pluri operates the search and intelligence backbone; the public interface is delivered through Cloudflare for resilient access.

Built by
Pluri, in-house
System
AI search & retrieval
Role
Product to backbone
Visit IHA search
Pluri productLive application

A local-first workspace for complex thinking.

Lattice is designed and built in-house by Pluri. It brings notes, canvases, and vector thinking into a single working environment without separating the interface from the system.

Built by
Pluri, in-house
System
Local-first workspace
Focus
Product & interaction systems
Open Lattice

Much of Pluri’s delivery work is confidential. Public systems show the same standard of ownership, technical depth, and operational care applied across those engagements.

End-to-end responsibility

One team accountable for the entire system.

Pluri is not a referral layer around somebody else’s platform. Large language models may be a component; the product, architecture, integration, and operational choices are Pluri’s.

01

Product

The interface, interaction model, and decision experience.

02

System

Search, algorithmic logic, data flow, and evaluation behavior.

03

Operations

The production backbone, reliability posture, and ongoing iteration.

Institutional context

Experience shaped around serious knowledge work.

Selected institutional and research contexts. Individual engagements may be confidential.

Institute for Healthcare Advancement
UCLA
UTHealth
Marquette University
University of Cincinnati
UTEP

Begin with the hard part

Bring the decision, evidence, and constraints.

We will help define the system that is actually worth building.

Discuss a system