Kore.ai vs Voiceflow

Kore.ai builds and governs AI agents and workflows for enterprise use. Agent Studio supports visual and code-based authoring of agents, workflows, and tools in one workspace. Its Arch feature can turn a plain-language intent into a proposed system with agents, workflows, tools, policies, and handoffs. Agent Blueprint Language provides structured definitions for agent behavior, tools, guardrails, orchestration, and handoffs, with policies enforced outside the language model. The platform automates multi-step work across agents, people, tools, and systems, with configurable autonomy and oversight. Agents can be deployed across voice, web, Slack, Teams, mobile, and other channels. Tracing covers agent runs across reasoning, tools, guardrails, handoffs, and outcomes; evaluation supports testing quality, safety, and accuracy before and after deployment. The marketplace lists more than 300 integrations, including Microsoft A365, Salesforce, HubSpot, Jira, and GitHub. Deployment options include public-cloud multi-tenant SaaS, on-premises, and private-cloud dedicated VPC. The platform is presented for Global 2000 enterprises and sectors including banking, healthcare, insurance, retail, and global service operations.

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.