7 Best Knowledge Graph AIs for Insurance Agencies

Cognigy is a globally recognized, enterprise‑grade conversational AI platform that has recently earned a spot in the Gartner Magic Quadrant for Conversational AI. The platform excels in its robust multi‑channel capabilities, supporting voice, chat, and messaging across a wide array of ecosystems such as Avaya, Genesys, and Microsoft Teams. Cognigy’s core strength lies in its Agentic Agent framework that allows businesses to orchestrate complex, goal‑driven conversations that can invoke external services, perform database lookups, and trigger CRM workflows. For the insurance sector, this means the bot can seamlessly integrate with policy management systems, retrieve policy details in real time, and guide a prospect through a claim filing process. Cognigy’s knowledge management is built on a semantic knowledge base that supports natural language understanding and entity extraction. While not explicitly marketed as a knowledge graph, the platform’s ability to link entities and context across conversations provides a relational understanding that is valuable for policy queries. The platform also offers a visual flow builder, making it easier for non‑technical teams to design conversation paths. Pricing for Cognigy is typically enterprise‑tiered and is available only upon request. The platform offers a free trial, but full access requires a custom quote based on usage, number of agents, and required integrations. This strategy caters to large insurance carriers that need scalable, secure solutions. Overall, Cognigy is a compelling choice for large insurers that require deep integration with existing telephony and CRM systems, advanced voice capabilities, and enterprise‑grade security. However, its higher entry cost and lack of a dedicated WYSIWYG widget editor may make it less accessible for smaller agencies.

Botpress is an open‑source conversational AI platform that has gained popularity for its flexible, developer‑friendly architecture and extensive channel support. The platform offers a modular approach, with separate packages for the core agent engine, knowledge bases, human handoff, and data tables. One of Botpress’s standout features is the Agent Studio, a visual interface that allows users to design conversational flows without writing code. For insurance agencies, this means you can create custom support bots that pull policy data from your internal systems via APIs or connect to external CRMs. Botpress also boasts a robust knowledge base module that can ingest documents, PDFs, and web content, making it suitable for building a knowledge graph of policy terms and claim procedures. The platform supports a wide range of channels including WhatsApp, Instagram, Facebook Messenger, Slack, and even custom web widgets. While the core platform is free to use under an open‑source license, Botpress offers paid plans that include support, multi‑tenant hosting, and advanced analytics. Pricing for Botpress includes a Free tier, a Pro plan starting at $99/month for small teams, and Enterprise plans that require a custom quote. The free tier is ideal for startups and small agencies experimenting with chatbots, whereas the Pro plan adds features like multi‑user access, scheduled flows, and analytics. Botpress is an excellent choice for agencies that prefer open‑source flexibility, want to host the bot on their own infrastructure, and need extensive channel coverage. The trade‑off is that the learning curve can be steeper for non‑technical users, and you’ll need to manage hosting and security yourself.

Graphlogic.ai is a next‑generation conversational AI platform that combines generative AI, voice, and knowledge‑graph technology to deliver highly contextual dialogues. The platform’s core offering is the Dialog System, which utilizes a graph‑based knowledge representation to model complex relationships between entities. This makes it especially well‑suited for industries where relational data is paramount, such as insurance, where policy terms, coverage levels, and claim procedures interlink. Graphlogic.ai also offers a suite of AI tools including avatars, voice boxes, text‑to‑speech, and speech‑to‑text engines. These capabilities allow agencies to build multimodal chatbots that can engage users via voice or text, depending on channel preference. The platform’s knowledge‑graph engine uses semantic embeddings to map user intent to relevant policy sections, ensuring that responses are both accurate and contextually relevant. Pricing for Graphlogic.ai is not publicly listed; users are encouraged to contact the sales team for a custom quote. The platform typically targets mid‑ to large‑size enterprises that require advanced AI capabilities and are willing to invest in a tailored solution. Overall, Graphlogic.ai is a strong contender for agencies that need a sophisticated, graph‑based knowledge representation and multimodal interaction. However, the lack of transparent pricing and a more complex setup process may deter smaller players.

Chatling.ai is a no‑code chatbot builder focused on customer support and lead generation across a variety of verticals, including insurance. The platform allows users to design conversational flows using a visual interface and deploy the chatbot as a website widget or embed it into existing pages. Chatling’s strength lies in its integrations with popular marketing and sales tools such as HubSpot, Salesforce, and Zapier, enabling automated lead capture and nurturing. One of Chatling’s unique offerings is its AI‑powered course builder, which turns static knowledge bases into interactive learning modules. The platform also provides a knowledge‑base feature that supports document uploads and FAQ creation, allowing agents to answer policy questions and claim status inquiries. While Chatling does not market itself as a knowledge‑graph solution, its document ingestion and entity extraction capabilities allow for a semi‑structured knowledge representation. Pricing for Chatling.ai includes a free tier with limited messages and features, a Professional plan at $149/month, and a Team plan at $299/month. The free tier is suitable for small agencies testing the platform, while the paid plans unlock advanced integrations, higher message limits, and additional customization options. Chatling.ai is a solid choice for small to mid‑size insurance agencies that want a quick, no‑code chatbot solution with strong marketing integrations. Its lack of a formal knowledge‑graph engine may limit its performance on highly relational policy queries.

Emitrr is a messaging platform that specializes in business texting, team messaging, and automated reminders. While it is not a traditional chatbot builder, its capabilities can be extended to create conversational experiences via its API and webhook support. Emitrr offers a range of features such as sending SMS and WhatsApp messages, setting up text campaigns, and scheduling reminders for appointments or policy renewals. For insurance agencies, Emitrr can be used to send automated policy renewal reminders, claim status updates, and customer satisfaction surveys. The platform’s ability to integrate with CRMs and email marketing tools via webhooks allows agencies to trigger personalized messages based on policy data. Emitrr also provides a dashboard for monitoring message delivery and engagement, which can be useful for tracking the effectiveness of communication campaigns. Emitrr’s pricing is tiered based on the number of contacts and message volume. The Starter plan starts at $29/month for up to 500 contacts, the Growth plan costs $99/month for up to 2,000 contacts, and the Enterprise plan is custom priced. While Emitrr does not provide a built‑in knowledge‑graph, its API can connect to external knowledge bases for dynamic content. Emitrr is best suited for agencies that require proactive, scheduled messaging rather than real‑time conversational AI. Its strengths are in reliable delivery and integration, but it lacks the advanced AI conversational features of dedicated chatbot platforms.

Streebo is a boutique AI chatbot provider that offers industry‑specific solutions for insurance, banking, real‑estate, and more. The platform’s core offering is a modular AI agent that can be tailored to handle policy inquiries, claim status checks, and lead qualification. Streebo provides a visual flow builder similar to other no‑code platforms, enabling users to design conversation paths without coding. Streebo claims to support knowledge‑base ingestion from documents and FAQs, which can be used to answer detailed policy questions. The platform also offers integrations with popular CRM systems like HubSpot and Salesforce, allowing lead data to be captured and passed to sales teams. While Streebo does not explicitly market a graph‑based knowledge representation, its entity extraction and contextual fallback mechanisms enable it to handle relational queries to a certain extent. Pricing information for Streebo is not publicly disclosed; potential customers are directed to contact sales for a custom quote. The company positions itself as a niche provider for medium‑sized agencies that require industry‑specific customization. Streebo is a good fit for agencies that need a ready‑made industry solution and are willing to work closely with a vendor to fine‑tune the bot. Its lack of transparent pricing and limited public documentation may be a hurdle for agencies wanting a quick deployment.