boost.ai
Enterprise conversational AI tuned for regulated industries.
About
boost.ai builds virtual agents for banks, insurers, telecoms, and public-sector organizations — places where a wrong answer is a compliance incident, not just an embarrassment. Its hybrid approach orchestrates traditional NLU with large language models and keeps humans in control of what the AI is allowed to say, which is the core pitch against generic chatbots. The company reports over 650 deployments and 150 million automated conversations, and Gartner named it a Leader in its 2025 conversational AI Magic Quadrant.
This is enterprise software in every sense: pricing starts around $50,000 a year according to third-party directories, there is no self-serve path, and staff are expected to train through the company's AI Academy. Small teams will find the whole apparatus excessive; regulated enterprises will find it reassuring.
What it can do
- No-code conversation builder, hybrid NLU+LLM control, omnichannel deployment (chat and voice), multilingual support, action analytics, audit-grade conversation control
Setup
Contact sales for a demo and scoped pilot; implementation is guided by the vendor's team.
Prerequisites
Enterprise budget and a team able to complete AI Academy training.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (verified tier, metrics-v1). Evidence: Enterprise conversational AI for regulated industries; hybrid NLU+LLM control; verified via GetApp, SoftwareAdvice, G2 reviews; Gartner 2025 Magic Quadrant Leader (company-reported); 650+ deployments and 150M+ automated conversations are company-reported figures; Pricing starts ~$50K/yr per third-party directories; quote-only, no self-serve; AI Academy training required.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.