Crescendo.ai is presented as an AI-native contact center platform that combines agentic AI (voice, chat, email) with managed human experts (“Superhumans”) to deliver guaranteed outcomes. Site materials emphasize non-disruptive integration with existing stacks, omnichannel AI (voice, chat, email), AI operations (continuous optimization, analytics, guardrails), and a managed human handoff for complex or high-value cases. Core capabilities called out on public pages and news include advanced voice agents (integration with Amazon Nova Sonic), live chat and email automation, VoC analytics, QA automation, autonomous agent assist, predictive CSAT scoring, image recognition in chat, and auto-tuning / continuous improvement. The company cites backing from investors (e.g., General Catalyst, Celesta Capital) and a managed workforce size (cited ~3,000+). Public pricing indications show a platform/subscription fee plus per-resolution usage pricing, and example plans listed on the pricing page include a $2,900/month platform fee plus per-solve fees ($1 or $2 per solve depending on human coverage). Public legal/compliance materials include a Master Services Agreement (PDF) and a Subprocessors disclosure page; however, explicit security/compliance certifications (e.g., SOC2, ISO) were not clearly listed on the scraped pages. Notable gaps on public pages include exact SLA/guarantee metrics and penalties, full standard integration lists and integration runbooks, detailed volume tiers and pricing breakpoints, formal published security/compliance certifications, and precise pricing/coverage for additional languages or dedicated team models. Recommended next procurement steps are: request a demo and product brief (use site Get a Demo or [email protected]) with sample pricing by resolution volumes, SLA and Total Outcome Guarantee specifics, a list of standard integrations and runbook for custom integrations with estimates, security/compliance certifications and data processing terms, and a language coverage matrix with pricing for additional human languages/dedicated teams; review the Master Services Agreement for pricing/invoicing, data use, liability, termination, and subprocessor clauses; and request references/case studies and deployment timelines as needed.