C

Chert

AI video agents that answer and place FaceTime calls, in a few lines of code.

Private preview โ€” FaceTime API not GABacked by Combinator & OpenAI (claimed)Angels from NVIDIA, LinkedIn, Grafana (claimed)iMessage infrastructure via API/webhooksAI video agents with camera context
Category
AI agent infrastructure / realtime video AI / CPaaS
Business model
Observed: API/control-plane product with managed FaceTime lines and iMessage infrastructure. Likely platform or usage-based pricing, but not publicly disclosed.
Stage
Private preview for FaceTime product; overall company stage not publicly disclosed
Target audience
Developers and operations/support teams building voice or video agents for visual customer workflows; industries include field service, telehealth intake, hardware support, inspections, onboarding, and customer success.
Opportunity score
61/100

A strong wedge into visual AI agents with clear positioning, but currently constrained by Apple dependency, private preview access, and unproven commercialization.

Founder verdict
MAYBE

A clear and compelling wedge into visual AI agents, but it depends on Apple platform access and unproven commercialization.

What is Chert?

Chert is an AI agent infrastructure product focused on FaceTime video calls. It positions itself as Vapi for FaceTime, letting developers configure realtime AI agents that can see through the caller's camera for tasks where visual context matters such as remote support, field service, telehealth intake, guided onboarding, and visual inspections. The website describes a three-step setup flow: configure the prompt, model, voice and behavior; choose an avatar or persona with framing; then assign the assistant to a provisioned FaceTime line. The FaceTime product is in controlled private preview, with no public pricing or revenue data. The same company also claims to provide stable iMessage infrastructure via API and webhooks.

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