Feather offers a single AI‑powered platform that handles voice, email, and text interactions with unified memory and context, eliminating dropped threads and repeated questions. Its system of specialized AI agents works together as one, enabling businesses to resolve every conversation across all channels. The platform has already helped nearly one million people receive resolutions through its AI agents.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses often struggle to provide consistent, uninterrupted customer support across multiple channels such as voice, email, and text, leading to fragmented conversations, repeated inquiries, and inefficient use of support staff.
Solution
Feather offers an AI‑powered platform that unifies voice, email, and text interactions under a single conversational memory, ensuring each customer’s context is preserved across channels. Specialized AI agents collaborate within the platform to handle inquiries end‑to‑end, eliminating dropped threads and redundant questions. The system integrates with existing knowledge bases, CRMs, calendars, and team workflows, allowing customers to choose any channel while the AI manages the rest. Feather’s three‑layer architecture—Intelligence, Communications, and Governance—provides tools for building, testing, and scaling agents, with full audit trails and compliance features for regulated environments. This enables organizations to automate high‑volume support, maintain oversight of AI decisions, and rapidly deploy agents across departments without rebuilding infrastructure.
Target Audience
Feather targets customer support, sales, and IT teams in mid‑size to large enterprises that need to automate multi‑channel interactions while retaining control and compliance.
Features
- Unified conversational memory that retains context across voice, email, SMS, WhatsApp, and chat channels
- Playbook‑driven AI agents that combine knowledge bases, tools, and external APIs to resolve queries autonomously
- Visual workflow canvas and SDK for building and customizing agents via dashboard or code
- Automated testing framework that simulates diverse personas and scenarios before production rollout
- Governance layer with audit logs, policy enforcement, and real‑time alerts for compliance and safety
- Integrated connectors to CRM, calendar, and other enterprise systems for seamless handoff to human agents