Owned intelligence layer

Company-controlled AI infrastructure for persistent, governed agents.

QUI gives organizations a runtime where agents can remember, use tools, route to the right model, and pause for human authority without handing the intelligence layer to someone else.

Request DemoExplore Platform
Anima
Persistent agents with memory and tools
Cortex
Memory, retrieval, and context discipline
Strings
Persistent conversation containers
ThinkThing
Visual workflows with review gates
What changes

The intelligence layer becomes something your company owns.

Owning files is no longer enough. Strategic value now forms in prompts, agent memory, workflow decisions, routing policy, and the evidence of how AI work happened. QUI keeps that layer under company control.

01

Persistent agents

Agents carry identity, context, permissions, and memory across sessions instead of resetting with each chat.

02

Governed autonomy

Human review, cost limits, tool permissions, and routing choices are part of the operating layer.

03

Model-neutral routing

Use managed cloud, local Qllama, or Cloud Private routes without rebuilding the agent system around one model vendor.

Product surfaces

One system for agents, memory, workflows, channels, and proof.

QUI application ecosystem showing connected product surfaces for agents, workflows, memory, and channels
01

Anima

Character identity, tool permissions, voice, and model configuration.

02

ThinkThing

Visual workflows, branching, review gates, and execution evidence.

03

Strings

Persistent conversations and shared context containers.

04

Memory and Cortex

Long-term memory, retrieval, consolidation, and context discipline.

05

Autothink

Structured reasoning strategies around complex decisions.

06

Qonscious

State, coherence, and introspective control for agent behavior.

Operating pattern

Start with one governed workflow. Grow into company-owned intelligence.

  1. Pick the first workflow. Choose work where memory, judgment, and repeatable process matter.
  2. Define agent roles. Give each agent bounded identity, tools, model routes, and authority.
  3. Run with evidence. Capture what happened, who approved it, and what should be remembered.
  4. Scale after governance works. Expand to teams, channels, departments, and partner delivery.