Sub-50ms O(1) Scale

Zero Plaintext

Plug your edge data into Claude
in seconds.

Now Claude can search your private files

whilst they are encrypted at the Edge.

[ Request Live Benchmark Demo ] [ Get started on GitHub (MCP Server) ]

Low Power | Deterministic | Edge AI | Real-time

Why Deterministic Memory

Two ways to retrieve context.
Only one of them is provable.

Vector Search

Toridion DMM

Retrieval

✕Approximate — "closest match" by similarity score

✓Exact — the record, or nothing

Consistency

✕Same query can return different results as the index drifts

✓Same input always yields the same output

Latency at Scale

✕Grows with dataset size — O(log N) / O(N)

✓Constant sub-50ms, regardless of scale — O(1)

Data Handling

✕Requires embedding/data to leave for indexing

✓Queries encrypted data locally — zero egress

Best For

✕Exploratory, "fuzzy" semantic search

✓Compliance, audit trails, regulated data, mission-critical retrieval

Vector databases are excellent at finding things that feel related. Toridion DMM is built for the moments you need to know, with certainty, exactly what was retrieved and why — without your data ever leaving your environment.

Do I need to replace my vector database?

No. DMM sits alongside your existing stack. Use your vector DB for broad, exploratory semantic search. Use DMM for the retrievals that have to be exact, auditable, and provably correct — patient records, contract clauses, transaction history, compliance evidence.

DMM - The Appliance

Plug DMM into any AI stack and instantly upgrade your retrieval layer. Sub-millisecond search across millions of encrypted records. On-premises, private cloud, or edge — your data never leaves your control.

Discover DMM →

TQNN — The Architecture

Twelve years in development. A fundamentally different approach to memory — one that doesn't slow down as data grows. TQNN is the engine underneath DMM, and the reason it performs the way it does.

Learn about TQNN →

What's new

Keep up with the latest in AI and associative memory developments across Toridion

Lindisfarne M1 Dataset

Toridion release huge 1 million NHS patient data set on Hugging Face. Designed to support TQNN developers working on NHS and large scale secure RAG. Download here

More human like memory

Context is second to none when it comes to driving valuable output from LLM's, but as you feed more in, the output often degrades. Learn how associative memory can solve your hallucination problems, and reduce costs and speed to results. More ...

DMM gets MCP

Now it's easier than ever to add DMM associative memory to your RAG LLM pipelines and agents flow. We just opes-sourced a DMM MCP server with associative similarity searching for Calude and other MCP angled service More ...

Toridion is helping teams build and power AI that works

LEGAL & COMPLIANCE

Secure Document Discovery

A regulated professional services firm needed AI-assisted review across thousands of legal and compliance documents stored across multiple cloud CDNs — without exposing sensitive data to external inference models. Using Toridion DMM, document ingestion and retrieval was handled entirely within a sovereign, air-gapped pipeline. Accredited assessors could surface relevant precedents and clauses in milliseconds, with full audit trails and no data leaving the client's controlled environment.

FINANCIAL SERVICES

High Speed Predictive Analytics

A SEC-registered custodial fund manager required sub-millisecond order book analysis across high-frequency BTC trading data to support projection modelling at institutional scale. TQNN's O(1) retrieval replaced conventional vector search, eliminating the latency penalty that grew with data volume. The system now processes and ranks millions of order book states in real time — delivering the speed required for compliant, custody-grade AI analytics without specialist hardware.

HEALTHCARE

Healthcare System Integration

A health sector organisation running multiple disconnected procurement systems needed a unified data view without replacing legacy infrastructure. Toridion DMM was deployed as a secure integration layer, creating encrypted pipelines between systems via API. Data flows securely across organisational boundaries in real time, with no centralised data store — giving procurement teams a single coherent view while each system retains full sovereignty over its own records.

Customer stories

Saved days in engineer hours

- Sharepoint Migration -

DMM allowed us to rapidly spin up complex Sharepoint migration tooling, securely indexing large volumes of files across several client repositories. The outcome was multiple days of engineer time recovered and a ongoing recurring revenue opportunity.

P.W Senior Infrastructure Architect (MSP Manchester)

Memory - Made for AI

Name: OBOI-DLP
Brand: Toridion
Availability: InStock

built for the most privacy demanding applications in the world

Request a Technical Demo

See DMM process enterprise workloads in real time.

See for yourself what blazing-fast, quantum-secure, associative memory can do for your infrastructure.

Your chance to:

See $O(1)$ scaling in action: Watch associative memory maintain constant-time search speeds across massive datasets without traditional vector bottlenecks.

Review security & architecture: See how the appliance deploys on-premises or at the edge, keeping data entirely within your sovereign control.

Map your integration blueprint: Discuss specific use cases for your stack, whether you are building custom developer agents or scaling MSP pipeline tools.

P Winkley, Senior Infrastructure Architect (MSP)

" The outcome was multiple days of engineer time recovered and an ongoing recurring revenue opportunity. "

Toridion Ltd are providers of high performance processing and

computing technology

Plug your edge data into Claudein seconds.

Two ways to retrieve context.Only one of them is provable.