The technology behind the twin.
Shaterian is a Personal Memory Operating System — a stack that turns raw life fragments into longitudinal understanding of a single human life. Here is how it fits together.
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01Multimodal ingestionVoice · text · health · media
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02Living Memory GraphPeople · places · events · time
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03Temporal reasoningPatterns across years
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04User-governed memoryConsent · scope · deletion
Three kinds of memory.
One Living Memory Graph.
A life is not a feed. It is layered. Shaterian holds all three layers at once — and lets them speak to each other.
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Factual
Factual memory
— what happened.
Facts, data, knowledge.
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Episodic
Episodic memory
— when it happened.
Life events, experiences, context.
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Emotional
Emotional memory
— why it mattered.
Feelings, relationships, meaning.
resolved
Together they form your Living Memory Graph.
One life, four twins.
A person is not one stream of data. Shaterian models a human as four interlocking facets — each understood on its own terms, all rooted in the same self.
Health Twin
Physical wellbeing — symptoms, patterns, treatments, biometrics, recovery.
Memory Twin
Experiences — events, stories, life timelines, personal history.
Relationship Twin
Family, friends, professional ties, emotional patterns.
Legacy Twin
Wisdom, values, insights, lessons — the parts of a life worth carrying forward.
Together, a complete Human Digital Twin.
The technology behind the twin.
Seven layers turn raw life fragments into longitudinal understanding.
- 01Multimodal life dataCaptures the full surface of a person's life — not just text.
- 02IngestionCaptures and timestamps raw life fragments.
- 03NormalizationTurns messy fragments into clean, searchable records.
- 04Living Memory GraphConnects people, places, events, emotions, and health across time.
- 05Reasoning engineRetrieves memories, detects patterns, assembles context.
- 06Companion layerLets a person talk to their own life — naturally, across time.
- 07User governanceWraps every layer: what is captured, kept, shared, or deleted.
Show technical details
- voice-to-text
- metadata extraction
- entity linking
- schema mapping
- temporal indexing
- semantic retrieval
- pattern detection
- context assembly
- consent controls
- deletion
- sharing
Most AI products answer a prompt. Shaterian builds the memory layer behind the person asking it.