Investor contactSynchTwin overview
Human Response is the Missing Layer for AI.
Emotion Insights built the operating engine. SynchTwin turns its proprietary, longitudinal record of real human response into a scalable intelligence layer for enterprises, AI systems and a contributor-owned economy.
Operating metrics as of July 31, 2026 · Management-provided and unaudited
HUMAN RESPONSE → LONGITUDINAL DATA → DIGITAL TWINS → SYNCHTWIN → ENTERPRISE INTELLIGENCE → BTWN · HUMAN RESPONSE → LONGITUDINAL DATA → DIGITAL TWINS → SYNCHTWIN → ENTERPRISE INTELLIGENCE → BTWN ·
01 / THE JOURNEYInvestor contact ↘
A working business became a compounding intelligence asset.
SynchTwin did not begin with a token or a speculative dataset. It began by solving the hardest operating problem: convincing real people to contribute useful response data, repeatedly, under a rights-cleared value exchange.
OCT 2025
Emotion Insights launches beta
A clear value exchange recruits real people to score video, answer polls, join interviews and return for calibration.
02 / THE ASSETInvestor contact ↘
Most datasets reset. This one remembers.
Each new response is tied to a persistent contributor identity, timestamped stimulus, historical context and later human calibration. The result becomes more useful as participation continues.
OBSERVE
Time-synchronized response
→STRUCTURE
Scenes, context and provenance
→MODEL
Profiles, cohorts and twins
→CALIBRATE
Real people check the twin
→COMPOUND
Every cycle deepens the asset
03 / THE DATA FACTORYInvestor contact ↘
The infrastructure already converts response into intelligence.
SynchTwin is not an LLM wrapper. The existing stack collects, rights-controls, structures, analyzes and delivers time-synchronized human response. The LLM layer sits above measurement—it does not replace it.
Layer 01
Mobile + web collection
Time-synchronized scoring, polls, interviews and calibration in proprietary, patent-supported workflows.
COLLECTION SESSIONLIVE INPUT
Poll · Interview
Open text
Contributor ID
Mobile and web workflows capture a specific person’s response to a specific stimulus at a specific moment, creating the first structured record in the intelligence chain.
04 / THE HUMAN-RESPONSE LLMInvestor contact ↘
Make human response queryable—not merely fluent.
The intended system combines real-person longitudinal evidence, permissioned digital twins, statistical prediction and live calibration. The analytics engine produces approved results; the LLM explains them.
Illustrative product experience
AWAITING INPUTIDLE
+
Explanatory demonstration only. It is not a live prediction, performance claim or validated forecast.Select a stimulus, audience and decision to reveal the evidence-grounded workflow.
Agents generate structured predictions. Analytics measures the result. Humans validate the response. Approved differences calibrate the twins and improve governed training data for versioned model updates. The LLM explains the approved evidence.
05 / THE BUSINESSInvestor contact ↘
One corpus supports multiple revenue layers.
Immediate analysis revenue proves demand. Subscriptions, APIs, model access and private deployment convert the operating loop into recurring software and infrastructure economics.
Cumulative beta revenue
2026 beta platform revenue from limited test clients to prove value of the data collected. No LLM product was active.
Q4 2026 forecast
Management forecast; forward-looking and unaudited.
Most-defensible license range
Independent indicative assessment of a pre-LLM corpus license value - not the company, network or models.
Custom analysis + pilots
Immediate decision support proves client value and produces benchmark cases.
Subscription dashboards
Recurring cohort response, reports, digital-twin simulation and live validation.
API + model access
Audience-response intelligence integrated into enterprise workflows, agents and decision systems.
Data + private deployment
Controlled outputs and private or on-prem models for residency and confidentiality requirements.
Paid validation
Engagements have included a top-five global media group, product-launch analysis and three political organizations. Additional opportunities span financial services, food distribution, hiring analysis and nonprofit applications.
06 / THE CONTRIBUTOR ECONOMYInvestor contact ↘
The beta proved the engine.
BTWN tokens scales it.
Intelligence Credits separate the measurement of qualified data creation from economic reward. BTWN tokens will be released only after validated intelligence closes a fixed-size Intelligence Block.
Fixed maximum supply
500M BTWNUp to 50M BTWN recognizes audited pre-launch intelligence.
450M BTWN is reserved for new validated intelligence that completes Live Intelligence Blocks.
VALIDATED ACTIVITY→BASE IC→100,000 IC BLOCK→DECLINING BTWN REWARD→CONTRIBUTOR ECONOMY
Go deeper
The separate Tokenomics site explains the full protocol, emissions curve, reward logic and safeguards.
07 / THE OPPORTUNITYInvestor contact ↘
Capital accelerates the transition from operating proof to platform scale.
The current financing is intended to expand the live calibration base, deepen the supporting corpus, deliver the LLM MVP and prepare the infrastructure required for network launch readiness.
Financing
Up to $250Kthrough a SAFEAccompanying allocation
3M BTWNdistributed pro rata across the financingFull-subscription ratio
12 BTWNper $1 invested if the full $250K is subscribedMaintain ~150 monthly active Reactors
Double the model’s supporting data
Deliver the LLM MVP into beta within 60 days after close
Launch live-Reactor calibration
Prepare Genesis launch readiness
08 / SOURCE EVIDENCEInvestor contact ↘
The architecture behind the story.
Use the controls to compare the business, technology, model and contributor-economy views.
Investor contact
See the corpus. Pressure-test the model. Explore the opportunity.
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