Cassidy

Cassidy is an AI automation platform designed to integrate deeply with a company's unique knowledge base and operational data, enabling it to function as a collaborative team member rather than just a tool. Its core value proposition lies in its ability to understand and act upon proprietary business context, automating complex, multi-step workflows that are specific to an organization while maintaining enterprise-grade security and compliance standards. This allows teams to offload repetitive, knowledge-intensive tasks to a trusted AI assistant, boosting productivity and ensuring consistency in critical operations.

Key features: Cassidy automates customer support by handling ticket triage, generating automatic replies, and extracting information from real-time data and company documents. It streamlines sales and RFP processes through a dedicated response generator that pulls from approved content. The platform supports no-code workflow creation for multi-step automations like research, data extraction, and content generation. It integrates directly with core business systems like Slack, email, and Chrome, and offers custom AI training on internal knowledge bases to ensure accurate, context-aware outputs.

What sets Cassidy apart is its foundational focus on company-specific context and data privacy. Unlike generic AI assistants, it is trained on and operates within the secure boundaries of an organization's own data, making it suitable for handling sensitive information and proprietary workflows. It is built with enterprise requirements in mind, offering GDPR compliance, robust security protocols, and deep integrations that allow it to act seamlessly across different software environments. This architectural approach ensures the AI's actions are relevant, secure, and aligned with internal processes.

Ideal for mid-sized to large enterprises across software development, customer support, and sales operations that need to automate complex, context-dependent tasks. Specific use cases include automating customer ticket resolution in support teams, accelerating RFP and sales proposal generation, qualifying leads from inbound inquiries, managing internal research requests, and orchestrating multi-step approval or data processing workflows. Industries with heavy reliance on documented processes and knowledge work, such as technology, consulting, and professional services, will find significant value.

The platform operates on a freemium model, providing a free tier with basic automation capabilities suitable for small teams or initial exploration. Paid plans, which unlock advanced features, custom training, and higher usage limits, typically start from approximately $29 per user per month, scaling to custom enterprise pricing for large deployments with specific security and integration needs.