AI Infrastructure · Wave 3

A Knowledge Twin
for your enterprise.

QUIPU is the AI infrastructure layer that gives every entity in your enterprise a live state, a causal history, and a semantic understanding of what it is — the missing foundation for the agentic AI era.

Book a Demo
Knowledge Twin
Knowledge Twin
Live Twin Causal Memory Semantic Graph

The Gap

Your data stack needs
three things. It has none of them.

Your knowledge graph has
no causality.

Graph Databases · Knowledge Graphs · Ontologies

They show how things connect right now. Update a node, the old state vanishes. A connects to B — but never that A caused B, which caused the alert you're staring at.

Your event streams have
no memory.

Event Streams · Message Queues · Stream Processing

Events arrive, get consumed, vanish. No entity accumulates its own history. No event carries the reason it happened. Streams move data — they don't remember it.

Your data has
no meaning.

Data Warehouses · Data Lakes · Data Catalogs

Warehouses store everything — thousands of tables, millions of columns. But nothing defines what an entity is or how it connects. Your AI reads raw data and guesses.

The Platform

AI infrastructure that gives
every entity a memory.

Three capabilities. No other system provides them together. QUIPU is the first infrastructure layer built for all three — from the ground up.

01

Live Twin

Every entity in your enterprise becomes a persistent, living object. It holds its own state. It processes its own events. It answers queries about itself — in real time. Not a row. Not a record. A living digital counterpart.

02

Causal Memory

Every state change is immutable. Every event records not just what changed and when — but why. Which entity triggered it, what condition was met, what came before. The full chain, replayable across years.

03

Semantic Graph

Entities don't just connect — they connect with meaning. Every relationship has a type, a direction, and a contract. Your AI traverses a graph where controls, triggers, feeds, monitors are first-class citizens.

What Does This Look Like?

Every entity deserves
a memory.

Every industry has entities that change, connect, and cause. Here's what happens when they remember.

Pharma · Drug Development

The Compound Twin

Every experiment, every property change, every formulation — on one living timeline. One query returns full provenance.

Causal thread: Raw API → Micronised → Sol ×41 → ASD → PK Confirmed → F% → 92%
Automotive · Prognostics

The Vehicle Twin

Every sensor reading, every maintenance event, every fleet-wide pattern — on one living trajectory. The foundation for real prognostics and root-cause analytics.

Causal thread: Vibration Drift → Injector Wear → RPM Variance → Degradation Curve → Predictive Schedule
Smart Buildings

The Building Twin

Every sensor, every work order, every space's behavior — on one unified timeline. The foundation for operations analytics and energy optimization.

Causal thread: PM Skipped → Filter Clog → Airflow Drop → Heat Cascade → Alert Fired

Imagine the same for

Claim-Patient TwinFinancial Services · Insurance — every claim with the full causal history of the patient journey
Human Digital TwinContinuous Health · Wearables — real-time biomarker tracking from wearable streams, with every change causally linked to interventions, environment, and lifestyle

Why This Matters

Your AI is only as good as
the data underneath.

Every agentic system today breaks on three things the current data stack wasn't built for.

Causal Memory

Snapshots frozen in time

↓

Trajectories that remember every change, every trigger, every outcome

Live Context

Agents retrieve stale documents

↓

Agents query the entity itself — current state, current relationships

Traceable Chains

Answers without receipts

↓

Every answer carries its causal chain back to source events

Competitive Landscape

What every other tool
can't tell you.

Capability
Data Warehouse
Knowledge Graph
Event Stream
QUIPU
Live Entity StateWhat is the current state of this entity — right now?
Partial
Partial
No
Yes — live twin
Immutable Event JournalWhat was the state at a specific past moment?
Rarely
No
Append-only log
Yes — causal replay
Causal TriggersWhy did this entity change — which event, which condition?
No
No
No
Yes — trigger context
Semantic PropagationWhat connected entities were affected downstream?
No
Current only
No
Yes — propagation graph
Grounded AI ContextFeed AI agents governed, provenance-rich entity context
No
Yes
No
Yes — Digital Threads

Traction

Proving it
with industry leaders.

3Commercial Pilots
3Industries
2Fortune 500 Partners
EU · US · INGlobal Footprint

Automotive Leader

Prognostics · EU

Commercial Pilot

Storage Leader

Enterprise Data · US

Commercial Pilot

Pharma Leader

Drug Development · US

Commercial Pilot

Won Open Innovation Challenge
Excellerator Program
Emerging Startup
Maria 01
Accelerated · Helsinki

The Market

Three waves of
enterprise data.

Wave 1 · 2008–2018

Cloud Data Infrastructure

Solved Store and query data at scale

Missed Live state, causality, entity identity

Wave 2 · 2018–2024

AI / ML Infrastructure

Solved Train and serve models

Missed Grounded entity context, causal memory

Wave 3 · 2024+

Causal AI Infrastructure

Solved Every entity is alive, every change is causal, every agent has grounded context

Wave 1 gave data a home. Wave 2 gave models a home.
Wave 3 gives entities a memory.

Get in Touch

Every entity deserves
a memory.

We are working with select enterprise partners to build causal infrastructure for the agentic AI era.

Book a Demo