System Active — Backfill in Progress
AURORA
Autonomous Understanding & Retrieval of Observed Activity
A complete digital archaeology of a human life. Sixteen years of personal data — ingested, cross-referenced, and analyzed by seven AI engines to surface patterns invisible to human perception.
3,507
Behavioral Signatures
~6,000
Days of Fingerprints
001 — Scale
The Numbers
Every data point is a thread. AURORA weaves them into a tapestry of behavioral understanding that spans 16 years and counting.
11,932,137
Records Ingested
Across 22+ sources. Growing nightly as the backfill engine processes 16 years of archived personal data.
6.9M
Scene Classifications
3,441 scene types identified across 117K photos via computer vision.
4.0M
Health Records
Steps, heart rate, sleep, blood pressure, VO2 max, walking biomechanics.
512K
Google Activity Events
273K searches, 141K maps, 50K YouTube, 8K flights.
36,568
Emails Archived
22 years of email across 3,185 unique sender domains.
246
Flights Reconstructed
94 airports, spanning 2010 to 2026.
2.3M
Words Transcribed
626 recordings, 238 unique speakers identified.
002 — Sources
The Data Universe
Twenty-two data sources, six categories. Each source is ingested, normalized, timestamped, and cross-indexed against every other.
Apple Personalization
17,869
Apple Health Records
4,013,435
Photo Scene Classifications
6,949,2833,441 types
Photo Face Detections
115,595161 people
Plaud Recordings
6262.3M words
Google Voice
68,054calls/SMS/VM
Gmail Archive
36,5683,185 domains
Gmail Insights
7,074purchases/trips
Facebook
38,498posts/msgs/reactions
Instagram
36,828likes/msgs/follows
Google Timeline
34,174GPS 2009-2025
Google Activity
512,583search/maps/YT
Apple Intelligence Graph
40,339knowledge triples
Apple Personalization
17,869interest scores
knowledgeC
13,092app usage
Looki Moments
1,624wearable AI
Ingestion Pipeline
Ingest
22+
Raw data sources
2009 – present
Classify
11.9M
Records processed
by 7 AI engines
Synthesize
3,507
Behavioral signatures
across 13 dimensions
003 — Temporal Coverage
16 Years of Data
From the earliest Google search in 2009 to this morning's heart rate reading. Approximately 6,000 days of continuous behavioral fingerprints.
004 — Intelligence Layer
The AI Orchestra
Seven specialized AI engines, each assigned a role. No single model can do it all — the orchestra plays in concert, each instrument chosen for what it does best.
Reasoning & Narrative
Claude Sonnet
Anthropic
Deep reasoning, narrative generation, behavioral analysis, cross-domain insight synthesis.
Fast Classification
Claude Haiku
Anthropic
Lightweight classification, quick extraction, high-volume triage of incoming data.
Gating & Classification
Gemini Flash
Google
Significance gating, change classification, pattern detection at near-zero cost.
Photo Vision
Amazon Nova Pro
AWS Bedrock
Scene understanding, object detection, face recognition across 117K photos.
Sentiment Analysis
AWS Comprehend
Amazon Web Services
Emotional tone extraction across email, messages, and social interactions.
Predictive Models
Amazon Forecast
Amazon Web Services
Time-series forecasting for health trends, behavioral cycles, and seasonal patterns.
Transcription
OpenAI Whisper
OpenAI
2.3 million words transcribed from 626 recordings with speaker diarization.
005 — Behavioral Model
13 Dimensions
Every day is scored across thirteen behavioral dimensions, computed nightly. Together, they form a high-dimensional fingerprint of lived experience.
01
Health
Apple Health, Strava
02
Photos
Scenes, Faces, Albums
03
Communication
Gmail, Voice, Chat
04
Search Behavior
Google Activity
05
Location
Timeline, Flights, Places
06
Social Media
Facebook, Instagram
07
Schedule
Calendar, Gmail Insights
08
Digital Activity
knowledgeC, Safari
09
Voice
Plaud, Google Voice
10
Fitness
Strava, Workouts, Rings
11
Motion
CoreMotion, Health
12
Music
Apple Music, Spotify
13
ARIA Meta
Conversations, Journal
006 — Cross-Domain Insights
Discoveries
What happens when you cross-reference every dimension of a life against every other? Patterns emerge that no single data source could reveal.
AURORA detects that resting heart rate increases by 4 BPM on days with four or more meetings, and the effect persists into the next night's sleep quality. The body keeps score of the calendar.
Apple Health
Calendar
Health Summaries
Cross-referencing 246 flights with 34,174 GPS points and 36,568 emails, AURORA reconstructs every trip since 2010 — destinations, durations, who was communicated with during each trip, and how health metrics shifted across time zones.
Flights
Google Timeline
Gmail Archive
Apple Health
By analyzing 273,000 Google searches alongside health data, AURORA discovers food and restaurant search frequency is 3x higher on high-step-count days. The body's physical activity triggers a predictable pattern of culinary curiosity.
Google Activity
Apple Health
Strava
626 Plaud recordings with 238 identified speakers reveal that average meeting duration increased 40% in Q1 while speaking ratio decreased — AURORA surfaces a leadership transition pattern: listening more, directing less.
Plaud Recordings
Calendar
Gmail
The emotional arc across seven communication channels — messages, emails, social media — shows sentiment shifts that precede measurable health changes by 48 hours. The mind moves before the body follows.
Gmail
Google Chat
Facebook
Instagram
Apple Health
This is not a dashboard.
It is a digital archaeology of a human life.
Eleven million records. Seven AI engines. Thirteen dimensions. Sixteen years. One person. Every data point a fragment. Together, they form the most complete computational portrait of an individual life ever assembled outside a research lab.
Project AURORA — Built on the ARIA Platform — 2024–2026