4D giver AI-systemer et struktureret hukommelseslag til fakta, beslutninger, kontekst og kontinuitet — på tværs af sessioner, brugere og arbejdsgange. Bygget til realtime-integration, API-brug og enterprise-kontrol.
De fleste AI-systemer kan hente dele af fortiden frem gennem chat-historik, resuméer, retrieval eller tools. Problemet opstår, når systemet skal holde styr på ændringer, beslutninger, relationer og sandhed over tid.
I stedet for at bede sprogmodellen rekonstruere historikken, vedligeholder 4D struktureret tilstand uden for modellen.
Når AI-systemet skal svare, leverer 4D den relevante kontekst i realtime — ikke hele fortiden. Sprogmodellen genererer svaret inden for et mere stabilt faktuelt og kontekstuelt mandat.
Kort sagt:
4D er ikke en chatbot, ikke en ny LLM og ikke en RAG-variant. 4D er et memory-system til sprogmodeller, der skal fungere pålideligt i længere forløb.
Produkt: 4D API og 4D Enterprise Runtime er i aktiv MVP-udvikling. Fokus er stabil memory-adfærd, realtime-integration, retrieval, maintenance og enterprise-egnet dokumentation.
IP: Patentansøgning for 4D Cognitive Memory Architecture er indsendt. Yderligere IP-spor for empathic memory og embodied/robotics er under forberedelse.
Validering: Benchmark- og evidensarbejde er under udvikling. Fokus er at måle kontinuitet, drift, opdatering af sandhed, tokenforbrug, latency og non-reconstructive recall.
Bemærk: Benchmark- og performance-claims kommunikeres kun med metodeforbehold. Ingen ekstern certificering eller endelig patentgaranti påstås her.The Wrong Company bygger hukommelsesinfrastruktur til AI. Vi bygger ikke en sprogmodel. Vi bygger det lag, der gør AI-systemer i stand til at bevare sammenhæng, relationer og kontekst over tid.
Designprincipper: privacy-by-design, bruger-ejede data, forklarlig hukommelse, adgangskontrol og mulighed for on-device eller private deployment.
Nej. 4D er et hukommelseslag, der fungerer sammen med eksisterende sprogmodeller. Hukommelse og generering holdes adskilt.
Jo, mange har hukommelseslignende funktioner. Udfordringen er pålidelig kontinuitet over tid: facts ændrer sig, historik vokser, og kontekst skal kunne vedligeholdes uden at blive rekonstrueret hver gang.
RAG henter tekstuddrag. 4D vedligeholder struktureret tilstand: fakta, beslutninger, relationer, tid og kontekst. Retrieval er kun én del af problemet.
Som API til AI-produkter og som Enterprise Runtime for organisationer, der har behov for private deployment, audit, governance og langvarige AI-workflows.
Privacy-by-design, bruger-ejede data, adgangskontrol og mulighed for private eller on-device deployment er grundlæggende arkitekturprincipper.
4D gives AI systems a structured memory system for facts, decisions, context and continuity — across sessions, users and workflows. Built for real-time integration, API usage and enterprise control.
Most AI systems can recall pieces of the past through chat history, summaries, retrieval or tools. The problem appears when the system has to maintain changes, decisions, relationships and truth over time.
Instead of asking the language model to reconstruct history, 4D maintains structured state outside the model.
When the AI system needs to respond, 4D provides the relevant context in real time — not the entire past. The language model generates within a more stable factual and contextual mandate.
In short:
4D is not a chatbot, not a new LLM and not a RAG variant. It is a memory system for LLMs that need to remain reliable in long-running workflows.
Product: 4D API and 4D Enterprise Runtime are in active MVP development. The focus is stable memory behavior, real-time integration, retrieval, maintenance and enterprise-grade documentation.
IP: Patent application for 4D Cognitive Memory Architecture has been filed. Additional IP tracks for empathic memory and embodied/robotics are being prepared.
Validation: Benchmark and evidence work is in progress. The focus is continuity, drift, truth updates, token usage, latency and non-reconstructive recall.
Note: Benchmark and performance claims are communicated only with methodological caveats. No external certification or guaranteed patent outcome is claimed here.The Wrong Company builds memory infrastructure for AI. We are not building a language model. We build the system that enables AI systems to maintain continuity, relationships and context over time.
Design principles: privacy-by-design, user-owned data, explainable memory, access control and the option for on-device or private deployment.
No. 4D is a memory system that works with existing language models. Memory and generation are kept separate.
Yes, many systems have memory-like features. The challenge is reliable continuity over time: facts change, history grows, and context must be maintained without being reconstructed every time.
RAG retrieves text passages. 4D maintains structured state: facts, decisions, relationships, time and context. Retrieval is only one part of the problem.
As an API for AI products and as an Enterprise Runtime for organizations that need private deployment, audit, governance and long-running AI workflows.
Privacy-by-design, user-owned data, access control and the option for private or on-device deployment are core architectural principles.