Product layer 01
Research Studio
Configure controlled studies, stimulus events, baselines, participant safeguards, and review requirements.
Pre-seed // Research technology
An interpretable affective-intelligence platform for controlled media research, creative testing, and evidence-led experience design.
[ Company thesis 01 ]
Measure the moment between exposure and response.
Percep is a pre-seed research technology company building a governed platform that helps media and research teams understand how experiences unfold—not only what audiences remember afterward.
Our foundation is an interdisciplinary EEG-to-PAD research program combining signal processing, affective computing, behavioral context, and transparent validation.
Surveys explain what people can report. Behavioral outcomes show what happened. We are building the evidence layer that helps research teams examine what changed in between.
The opportunity
Better creative decisions require better temporal evidence.
Media research teams often rely on measures collected after exposure or outcomes that say little about where a response changed. That creates a blind spot between the content experience and the final result.
Percep is developing a platform that connects synchronized stimuli, EEG-informed features, behavioral context, and interpretable affective estimates so researchers can investigate that gap with greater precision.
Product layer 02
Signal Intelligence
Organize interpretable EEG-informed features and PAD-oriented estimates with visible uncertainty and lineage.
Product layer 03
Evidence Workspace
Compare stimuli, annotate findings, and produce decision-ready research summaries without losing methodological context.
Built for focused research environments
Start narrow. Validate deeply. Expand responsibly.
Advertising & creative R&D
Evaluate narrative, pacing, imagery, and message variations in controlled research settings.
Media and experience labs
Add time-sensitive physiological evidence to existing behavioral and self-report workflows.
Academic collaborators
Study affective-computing methods through reproducible protocols and clearly bounded claims.
Innovation partners
Explore responsible applications of adaptive media after foundational validation milestones are met.
Why this team
Research depth with a product translation mandate.
The founding research program brings together computer science, data science, advertising, behavioral strategy, signal processing, and experimental design. The company is being built around the translation work required to turn that interdisciplinary research into a repeatable product.
Research-led
Protocol and evidence quality define the product roadmap.
Interpretable
Findings must remain traceable to inputs, assumptions, and limitations.
Governed
Consent, privacy, access control, and human oversight are product requirements.
Commercially focused
The initial wedge is a narrow research workflow with a clear user and measurable value.
Public research and company updates
From the research log
Public development status
Pre-seed and preparing for controlled validation.
Current work is focused on reproducibility, product requirements, governance, and the transition from research prototype to controlled partner workflow.
Now
Pipeline and protocol validation
Next
Aligned research partnerships
Then
Limited governed beta
Investors, research partners & ecosystem builders
Help shape the first validated use case for affective intelligence.
We are interested in conversations with pre-seed investors, controlled research partners, academic collaborators, and responsible-innovation organizations aligned with a validation-first path to market.
Public materials explain the company thesis and development principles. Protected technical, participant, security, pilot, and diligence materials are released only through role-appropriate screened access.