Zowie
Zowie is a Customer AI Agent Platform that enables enterprises to build, orchestrate, and continuously improve customer-facing AI agents across every channel. Designed for the agentic AI era, it replaces traditional clicks and menus with conversational interfaces that resolve issues, process refunds, manage orders, and handle complex workflows automatically. The platform allows teams to create powerful AI agents without heavy coding and deploy them across chat, email, voice, and social channels. Zowie Intelligence powers each interaction with deterministic, auditable logic to eliminate hallucinations and ensure enterprise-grade accuracy. Businesses can monitor every conversation in real time, audit performance, and coach agents for ongoing improvement. With multilingual support in over 70 languages and consistent brand alignment, Zowie ensures seamless global customer experiences.
Learn more
CoSupport AI
CoSupport AI resolves customer tickets on a patented multi-model architecture (USPTO US11823031B1) built to keep answers grounded in your own data. The AI understands customer intent, retrieves the answer from your knowledge base and business systems, executes the required steps, and escalates edge cases to your team with the full conversation history and a structured summary of its findings.
Two products ship on that architecture. CoSupport AI Agent autonomously resolves repetitive customer inquiries across chat, email, and voice in 40+ languages. CoSupport AI Assistant drafts ready-to-send replies for human agents inside the helpdesk.
Reasoning is multi-step: the model searches, validates across sources, and refines the response before sending. Every reply ships with a decision log. Pricing: from $0.04 per response, $0.19 per resolved ticket, or $99/month per 1,000 tickets. 60% AI resolution rate by day 60, or a full refund.
Learn more
Vectorize
Vectorize is a platform designed to transform unstructured data into optimized vector search indexes, facilitating retrieval-augmented generation pipelines. It enables users to import documents or connect to external knowledge management systems, allowing Vectorize to extract natural language suitable for LLMs. The platform evaluates multiple chunking and embedding strategies in parallel, providing recommendations or allowing users to choose their preferred methods. Once a vector configuration is selected, Vectorize deploys it into a real-time vector pipeline that automatically updates with any data changes, ensuring accurate search results. The platform offers connectors to various knowledge repositories, collaboration platforms, and CRMs, enabling seamless integration of data into generative AI applications. Additionally, Vectorize supports the creation and updating of vector indexes in preferred vector databases.
Learn more
Grounded Language Model (GLM)
Contextual AI introduces its Grounded Language Model (GLM), engineered specifically to minimize hallucinations and deliver highly accurate, source-based responses for retrieval-augmented generation (RAG) and agentic applications. The GLM prioritizes faithfulness to the provided data, ensuring responses are grounded in specific knowledge sources and backed by inline citations. With state-of-the-art performance on the FACTS groundedness benchmark, the GLM outperforms other foundation models in scenarios requiring high accuracy and reliability. The model is designed for enterprise use cases like customer service, finance, and engineering, where trustworthy and precise responses are critical to minimizing risks and improving decision-making.
Learn more