Fern is an AI‑powered sales assistant that transcribes recorded calls, extracts question‑answer pairs, and builds a searchable knowledge base for B2B sales teams. It offers a real‑time chat widget, role‑play simulations, analytics, and bi‑directional integrations with CRMs and communication tools, all secured with enterprise‑grade encryption and access controls.
Funding
Funding not disclosed
Founders
Product
Problem
Sales representatives often lack immediate access to accurate product information and prior prospect interactions, leading to inconsistent answers and missed opportunities. Knowledge from previous calls remains siloed, making it difficult for teams to learn from recurring questions and refine messaging. This results in longer sales cycles and reduced win rates.
Solution
Fern provides an AI‑driven sales assistant that continuously ingests audio from sales calls and extracts question‑answer pairs to build a searchable knowledge repository. The platform surfaces relevant answers through a lightweight, non‑intrusive chat widget that reps can query before, during, and after calls. Integrated role‑play simulations let reps rehearse challenging scenarios using real‑world questions pulled from the knowledge base. Analytics track top prospect questions, enable A/B testing of response variations, and feed performance insights back to the team. Fern connects to existing CRMs, communication tools, and data warehouses via APIs, ensuring that the assistant works within the current tech stack while keeping data encrypted and compliant.
Target Audience
The primary customers are B2B sales organizations—account executives, SDRs, and sales enablement teams—seeking to improve call efficiency and knowledge sharing across the enterprise.
Features
- Automatic transcription and NLP extraction of question‑answer pairs from every recorded sales call
- Real‑time chat interface with contextual answer retrieval based on the unified knowledge graph
- Voice‑enabled role‑play module that simulates prospect objections using historically frequent questions
- Dashboard for tracking top prospect queries, response effectiveness, and A/B test results
- Bi‑directional integrations with CRMs, Slack, Teams, and custom data sources via RESTful APIs and webhooks
- Enterprise‑grade security: end‑to‑end encryption, role‑based access controls, and optional on‑prem deployment
- Continuous model fine‑tuning that respects data residency and does not use customer data to train external AI services