Zowie is an AI agent platform that lets enterprises build deterministic, auditable conversational workflows for high‑stakes tasks such as refunds, claims, and identity verification. Using a compiled Decision Engine and a low‑code visual studio, users design agents once and deploy them across voice, chat, email and messaging channels while maintaining full context, compliance reporting, and real‑time monitoring.
Funding
$14M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OTGFounders
Product
Problem
Enterprises struggle with customer‑facing AI that is opaque, inconsistent, and difficult to control, leading to errors in critical processes such as refunds, claims, and identity verification. Existing platforms rely on language models for decision making, which can drift over time and provide limited auditability, making compliance and reliability hard to guarantee.
Solution
Zowie offers an AI agent platform that separates business logic from the language model, executing deterministic workflows through a compiled Decision Engine. Users design agents in a single visual studio, combining scripted flows, goal‑driven playbooks, and real‑time knowledge retrieval, then deploy the same agent across voice, chat, email, and messaging channels. The platform provides full audit trails, reasoning logs, and custom scorecards for every interaction, enabling continuous monitoring and rapid issue detection. Integration points allow actions on external systems, live data pulls, and inline authorizations, while deployment options span managed cloud, private cloud, and on‑premises environments to meet compliance needs. A built‑in Supervisor layer automatically evaluates 100 % of conversations against plain‑language criteria, surfacing quality issues in seconds and supporting both CX and technical leadership.
Target Audience
Target customers are large enterprises in banking, insurance, telecom, commerce, and other regulated sectors that need reliable, auditable AI agents for customer support, claims processing, and transactional interactions.
Features
- Decision Engine compiles flows at build time for deterministic execution without runtime model drift
- Visual Agent Studio unifies flows, playbooks, knowledge bases, personas, intents, and guidelines in one low‑code environment
- Multi‑channel deployment (chat, email, voice, SMS, WhatsApp, Messenger) with a single agent definition preserving context
- Real‑time actions and data integration (CRM, ERP, custom APIs) with side‑effects and inline authorizations
- Supervisor automatically scores every conversation using custom plain‑language rules and provides reasoning logs, sentiment analysis, and issue alerts
- Full audit trail and compliance reporting for each decision, including model metadata and API call tracking
- Deployment flexibility: fully managed cloud, isolated private cloud, or on‑premises with air‑gap options
- Knowledge connector that pulls answers from documentation and product data without fine‑tuning