Kustomer vs Voiceflow

Kustomer is a customer experience platform for managing customer relationships across chat, email, voice, and social. It brings those interactions into a shared timeline and provides profiles that can hold custom objects and attributes such as purchase history and preferences. AI agents support customer service, while tools give human representatives context and suggested actions. CX teams can use Kustomer Architect to build, test, launch, analyze, and optimize AI experiences without writing code. Data Explorer returns plain-language answers, charts, and breakdowns, and the platform tracks real-time CX trends. Managers can review and approve AI actions; guardrails can send high-risk conversations to a human. The platform also includes a shared inbox, SLA management, help center, ticket automation, customer portal, and API access. It runs on Android, iOS, and the web. Pricing is on request. Enterprise and Ultimate are billed through Talk to Sales and have different limits for objects and tasks, brands, languages, webhooks, and API rate limits.

Voiceflow is a platform for building, testing, deploying, and monitoring chat and voice agents across channels and languages. Its builder combines agentic playbooks, deterministic workflows, shared instructions, and guardrails. Teams can review transcripts and call recordings, run evaluations and tests, and track analytics. Agents can reach users through a native chat widget, mobile apps, phone calls, SMS, or custom interfaces built with the Conversations API. Native integrations include Zendesk, Salesforce, HubSpot, Shopify, Airtable, Google Sheets, Gmail, and Twilio. Agents can also connect to external REST APIs, custom Functions, and MCP servers. Teams can choose from major LLM providers or bring their own model. Voiceflow says customer data is not used to train AI or machine-learning models and integrated model providers are configured for zero data retention. Its security information describes encryption at rest with customer-managed keys and encryption in transit using TLS and mTLS. The company was founded in 2019. Agencies and partners have a free-trial plan with usage-based billing; business pricing is available on request. Support includes implementation that can be self-serve or fully managed.