What core product categories are described in the research?
The core product categories described are Infrastructure (Telephony / Infrastructure), Vertical Models (AI / Domain Models), and Security (Security / Compliance).
What is the Infrastructure product described?
The Infrastructure product is dedicated, white‑label telephony infrastructure that separates telephony, logic, and intelligence to deploy voice agents under a customer’s brand, providing edge‑optimized low latency, carrier provisioning, SIP trunks, phone numbers via API, and auto‑scaling for thousands of concurrent calls.
What key features are listed for the Infrastructure product?
Key features include white‑label hosting, edge‑optimized low latency (<500ms), BYO‑Carrier or direct carrier integration (no Twilio markup), phone number and SIP trunk provisioning via API, auto‑scaling for enterprise call volume, telephony/logic/intelligence separation, and fixed latency guarantees.
What integrations are listed for the Infrastructure product?
Integrations for Infrastructure include carrier/SIP trunk integration, phone number provisioning API, webhooks/API, function‑calling (JSON) integrations, and EMR integrations (vertical‑specific).
Who is the target audience for the Infrastructure product?
The Infrastructure product targets agencies, SaaS platforms, and enterprises that want to white‑label voice AI infrastructure.
What is the Vertical Models product described?
Vertical Models are custom fine‑tuned domain AI models for specific industries (e.g., healthcare, real estate, finance) designed to reduce hallucinations and handle industry terminology, supporting RAG and configurable agent personas/knowledge bases.
What key features are listed for Vertical Models?
Key features include custom fine‑tuning for vertical domains, RAG‑enforced knowledge injection, domain vocabulary and intent accuracy, low‑latency inference for conversational voice, and configurable agent persona and knowledge base.
What integrations are listed for Vertical Models?
Vertical Models integrate with EMR/system integrations (healthcare), property/real‑estate data sources (real estate), financial system APIs (finance), and JSON knowledge base/function calling tools.
Who is the target audience for Vertical Models?
Vertical Models are targeted at platforms and enterprises delivering industry‑specific voice AI solutions across Healthcare, Real Estate, Finance, and SaaS.
What is the Security product described?
The Security product encompasses security and compliance capabilities designed for mission‑critical and regulated deployments, including SOC‑2 and HIPAA‑grade storage and controls to protect PII and recordings while enabling customer data ownership in white‑label deployments.
What integrations are listed for Security?
Security integrates with compliant storage systems, EMR/system integrations for HIPAA workflows, and customer SMTP/branding integrations.
Do the Vertical Models use retrieval‑augmented generation (RAG)?
Yes; Vertical Models support RAG‑enforced knowledge injection to reduce hallucinations and improve knowledge accuracy.
What vertical industries are explicitly mentioned as examples for Vertical Models?
The Vertical Models specifically mention Healthcare, Real Estate, and Finance as example industries.
What recommendations related to model hallucination and safeguards?
Recommended safeguards include domain fine‑tuning, RAG, tool/function calling, and human review pathways for high‑risk verticals to reduce hallucinations.
How does VoiceStack reduce AI hallucinations and ensure domain accuracy?
The platform uses vertical fine‑tuned models, retrieval‑augmented generation (RAG), configurable knowledge bases, and function‑calling to inject authoritative data and minimize hallucinations, with human review pathways for high‑risk workflows.