Kore.ai vs Rapida AI

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.

Rapida AI is an open-source platform for building and operating voice AI agents across phone, web, WhatsApp and SIP. It supports speech processing with voice activity detection and noise cancellation, knowledge retrieval, language-model routing and live call transfer. Teams can bring their own speech-to-text, text-to-speech and language-model providers or route between them without rewriting application logic. Listed integrations include Twilio, Vonage, Exotel, Asterisk, OpenAI, Anthropic, Google Gemini, Deepgram, ElevenLabs, Azure and AWS. Agents can call HTTP endpoints during conversations and sync data from Notion, GitHub, HubSpot and Jira. Rapida provides session traces, transcripts, call monitoring, handoff visibility, request and webhook logs, and debugging context. It offers managed cloud or self-hosted deployment. The maker says self-hosting keeps audio, transcripts and customer data on the user's infrastructure; setup requires Docker and at least 4 GB RAM for Voice Only, or 8–16 GB with the knowledge base. Launch is free. Scale costs $500 a month, Grow costs $2,000 a month, and Enterprise pricing is custom.