Private by design
Your users' faces never leave the room.
Every frame, every screen, every voice is processed on the machine in front of you. Local-first isn't a promise on a page. It's the way the system is built.
The local-first invariants
On-device
Nothing uploads
Capture and analysis run entirely on local hardware. There is no cloud endpoint to send data to.
Air-gappable
Works unplugged
Pull the network cable and everything still runs. Ideal for regulated and pre-launch flows.
Yours to keep
You hold the data
Recordings and results live on your disk, under your control, deleted when you say so.
No lock-in
Model-agnostic
Your models, your machine. AffectEQ depends on no single AI provider, and the models are swappable.
The details
What that means in practice.
Data & retention
On your disk, under your control
Sessions write to local disk on the machine that ran them, and you set the retention. Deleting the folder deletes the data. There are no copies on our side, because there is no our side.
Network posture
Zero outbound calls
No telemetry, no license pings, no update checks during a run. Pull the cable and verify it yourself: every result still reproduces offline.
Consent
People know they're measured
Live sessions are moderated and consent-first. Participants see what is captured, and it stays on the machine in the room with them.
Found a security issue? Email [email protected] with the subject "Security". We read every report.
Why it matters
The research the cloud stack can't touch.
Checkout, onboarding, claims, patient intake. The highest-stakes flows are exactly the ones you can't ship to a SaaS tool, so they ship on opinion. We close that gap.