Simple AI

What do they actually do

Simple AI provides a web dashboard and API for creating phone-based “voice agents” that can answer or place calls. Teams can attach agents to phone numbers, run inbound and outbound calls, navigate menus, consult a connected knowledge base or external APIs during the conversation, and receive transcripts and structured outputs after each call docs calls docs tools docs. The platform supports warm transfers to humans and lists multi‑language support on the site homepage.

They are also rolling out a consumer mobile experience that makes calls on a user’s behalf (e.g., booking appointments). The site has a join/waitlist and YC materials describe consumer use cases; the team has also posted about App Store availability on social channels join YC profile social.

Positioning and sales are enterprise‑oriented, with “contact sales” flows and a trust center that advertises SOC 2 and HIPAA compliance homepage trust center. A typical enterprise workflow is: trigger a call from a CRM/API, pass per‑call data for context, let the agent handle the conversation (including lookups and handoffs), then consume transcripts/structured data into downstream systems homepage workflow calls docs tools docs.

Who are their target customer(s)

• Contact‑center operations manager at a regulated company: Needs to handle high inbound volumes and reliable routing without adding headcount, while meeting compliance and uptime requirements. Struggles with slow vendor onboarding and ensuring automated agents can access internal knowledge and hand off to humans when needed homepage trust center.
• Sales leader running outbound campaigns: Wants predictable outreach with higher connect rates and clean transcripts/structured data in the CRM. Current dialing creates manual follow‑up and inconsistent notes calls docs homepage workflow.
• Healthcare or other HIPAA‑sensitive practice manager: Wants to reduce front‑desk load for booking and reminders while keeping patient data private. Hesitant to adopt tools without clear compliance and quick deployment paths trust center YC profile.
• Product/engineering lead at a mid‑to‑large company: Needs an API‑first voice agent that plugs into CRMs and backend systems quickly. Frustrated by vendors needing heavy custom work or lacking reliable call controls and observability API docs homepage workflow.
• Busy individual who wants routine phone tasks handled: Prefers to delegate calling businesses for appointments or simple errands due to hold times and scheduling friction. Wants a straightforward app experience to offload repetitive phone work join YC profile.

How would they acquire their first 10, 50, and 100 customers

• First 10: Run hands‑on pilots with ops teams and regulated practices via YC/warm intros; do tight integrations with the dashboard/API to prove routing, warm transfers, and knowledge‑base lookups on real traffic, and surface SOC 2/HIPAA artifacts to clear compliance hurdles trust center API docs homepage.
• First 50: Package 1–2 repeatable playbooks (e.g., healthcare scheduling, outbound sales) and sell through a small direct team with onboarding bundles and short proofs of value. Publish integration guides and connectors so IT can deploy quickly calls docs tools docs homepage.
• First 100: Scale through partner marketplaces and integrators (VoIP/CRM) and use case studies and compliance artifacts to close larger accounts. In parallel, grow the consumer app/App Store presence as a demand funnel that surfaces SMB and enterprise leads trust center join social.

What is the rough total addressable market

Top-down context:

The closest top‑down market is conversational AI for contact centers, estimated at about USD 11.6B in 2024 and growing quickly Grand View Research. Broader CCaaS/contact‑center software spend is larger but overlaps with this category GVR CCaaS.

Bottom-up calculation:

As a practical, near‑term sizing: if Simple AI serves ~2,000 mid‑to‑large enterprises with deployments averaging 50 agent equivalents at ~$200 per agent/month, that implies ~USD 240M in annual spend addressable for the initial wedge (2,000 × 50 × $200 × 12). This excludes adjacent CCaaS budgets and regulated vertical add‑ons.

Assumptions:

• Average deployment size: 50 agent equivalents per customer in year 1–2.
• Pricing: ~$200 per agent equivalent per month for core capabilities.
• Initial reachable customer pool: ~2,000 mid‑to‑large enterprises that meet compliance and integration requirements.

Who are some of their notable competitors

• Replicant: Autonomous voice agents for contact centers focused on resolving high‑volume calls and integrating with existing systems; a close competitor for enterprise inbound/outbound use cases.
• Cognigy: Enterprise conversational AI with a dedicated Voice Gateway and deep CCaaS/CRM integrations; emphasizes turnkey telephony connectivity over a lightweight API‑first approach.
• Observe.AI: Started with conversation intelligence and agent‑assist; now offers AI agents/copilots. Strong in analytics, QA, and agent augmentation rather than consumer call‑agent use.
• Twilio (Programmable Voice / Conversational AI): CPaaS building blocks (telephony, STT/TTS, media streams) used to build voice agents; offers scale and control but requires more engineering than a finished autonomous agent.
• Google Duplex (research/consumer): A well‑known consumer assistant example for phone calls (e.g., bookings). Not a commercial contact‑center product but relevant to the consumer “agent that calls for you” concept.