Chert

Competitive Intelligence & Product Roadmap

Send and automate trusted iMessage conversations at scale.

Company Overview

Chert is an iMessage infrastructure company that gives teams APIs and agents for trusted customer conversations. Serving B2C startups, CX teams, sales teams, and AI-agent companies.

Latest Intel

Zeitgeist tracks private signals to determine where the company is heading strategically.

What They're Building

The company's public product roadmap & what they're committed to building.

Real iMessage API

Chert exposes sending, receiving, delivery states, read states, typing indicators, tapbacks, groups, attachments, REST APIs, and webhooks.

SMS and RCS fallback

The product routes conversations across iMessage and fallback channels when needed, keeping the thread usable across customer devices.

AI outbound agent

Chert runs personalized prospect conversations, books meetings, and connects message state to CRM and calendar workflows.

Deliverability operations

The company manages verified numbers, sender identity warming, volume caps, and routing logic to reduce platform throttling risk.

CRM and calendar sync

Native workflows cover lead creation, meeting booking, opt-out receipt, and sync with tools such as Salesforce, HubSpot, Calendly, and Cal.com.

Competitors

Sendblue:

Offers iMessage API infrastructure with a longer public operating history and a broader customer-count claim.

Linq Blue:

Markets native iMessage infrastructure for AI companies and broader messaging API coverage across iMessage, RCS, SMS, and voice.

Twilio:

Owns the mainstream programmable messaging category, while Chert differentiates through iMessage-specific trust and agent workflows.

Apollo:

Competes for outbound sales workflows, while Chert centers the communication channel rather than the prospect database.

Artisan:

Competes in AI outbound automation, while Chert’s wedge is iMessage delivery and conversation infrastructure.

Chert

's Moat:

The likely moat is technical infrastructure: dependable iMessage delivery, identity warming, throttling knowledge, and reply telemetry are harder to copy than the LLM layer.

How They're Leveraging AI

AI Use Overview:

The edge is delivery-coupled agent orchestration, where an LLM likely uses iMessage state, CRM context, opt-out logic, and calendar tools rather than copy generation alone.

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