Opencall.ai

What do they actually do

OpenCall runs phone- and text-based AI agents that answer inbound calls and SMS for service businesses, with many customers in medical and dental. The agents can book, reschedule, or cancel appointments, capture intake details, verify insurance eligibility, and write directly into systems like Athena, Dentrix, eClinicalWorks, or Google Calendar product. They offer 24/7 pickup so calls don’t go to voicemail [home/product](https://opencall.ai/; https://opencall.ai/product).

When a case is sensitive or complex, OpenCall escalates to a human with transcripts and next steps. Customers get a dashboard showing calls, automation logs, and “needs attention” items, and the company emphasizes fast setup (“under 5 minutes” to spin up a location) [home/product](https://opencall.ai/; https://opencall.ai/product). OpenCall advertises HIPAA-grade privacy and says it does not train third‑party models on customer data home.

Pricing is listed per location: Voice-only at about $450/month, Voice+SMS at about $650/month, and a custom “Full Platform” tier that adds outbound campaigns and custom workflows. The company markets to service businesses and states it’s live in “100+ enterprise locations” pricing.

Who are their target customer(s)

• Small medical and dental practices that rely on a receptionist but can’t staff nights or peak times: They miss or delay appointments and need reliable answering that can verify insurance and book directly without creating HIPAA risk. product, security/pricing(https://opencall.ai/)
• Multi-location clinic groups or dental/medical chains: They want consistent front-desk behavior across sites, fewer manual outbound/recall tasks, and integrations that work across many locations. pricing, product(https://opencall.ai/product)
• Home-services businesses (plumbing, HVAC, electrical): They lose high-value leads when calls aren’t answered immediately and need quick scheduling and follow-up to close jobs. product
• Urgent-care and after-hours clinics: They need rapid triage and intake so clinicians see complete context fast, instead of phone tag and incomplete messages. product
• Other high-volume service businesses (salons, optometry, small clinics): They want to offload routine inbound calls so staff only handle complicated or sensitive cases. product, blog(https://opencall.ai/blog)

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

• First 10: Founder-led outreach to 20–30 local medical/dental practices offering a 2–4 week live pilot; configure during the call and demonstrate real bookings into their calendar/EHR plus HIPAA assurances to de-risk adoption product, pricing, YC(https://opencall.ai/pricing)(https://www.ycombinator.com/companies/opencall-ai).
• First 50: Codify the pilot into a simple onboarding checklist and sales playbook, hire 1–2 SDRs to run targeted outreach, and use integrations/case studies to reduce objections; add referral partners among practice managers and billing firms product, blog(https://opencall.ai/blog).
• First 100: Shift to multi-location deals with volume discounts and migration support; sign channel/EHR reseller partners and productize outbound campaigns/workflows into an enterprise pack with compliance and ROI proofs for procurement pricing, product(https://opencall.ai/product).

What is the rough total addressable market

Top-down context:

The initial focus is automating front-desk call handling and scheduling for healthcare and dental practices, with adjacent expansion to other service businesses. The market spans many tens of thousands of US locations that rely on phones for intake and scheduling.

Bottom-up calculation:

If OpenCall targets 50,000 US healthcare/dental locations in the near term with an average $6.6k ARR per location (midpoint of public tiers), the initial TAM is roughly $330M; expanding to 75,000 locations raises this to about $495M.

Assumptions:

• Average ARR per location approximated at $6.6k based on $450–$650/month tiers pricing.
• Serviceable healthcare/dental locations in the near term estimated at 50k–75k; home-services and other verticals are upside not included.
• Multi-location discounts and usage variability roughly net out to the midpoint ARR estimate.

Who are some of their notable competitors

• Replicant: Enterprise conversational voice and chat automation for contact centers; a direct technical competitor when buyers want fully autonomous voice handling at scale.
• Smith.ai: Hybrid AI receptionist plus on‑call human receptionists; overlaps on 24/7 answering and scheduling for SMB services with heavier human fallback.
• Ruby: Traditional virtual receptionist and live chat using human operators; common choice for small practices that prefer guaranteed human handling.
• Luma Health: Healthcare patient engagement platform for scheduling, reminders, two‑way messaging, and EHR integrations; competes by owning broader patient workflows rather than voice-first automation.
• Podium: Messaging and local-business platform (SMS/webchat, payments, reviews) with emerging AI features; overlaps on lead conversion and outbound, more text/webchat‑oriented than phone agents.