Rize is a web app that records calls, transcribes them in real time, and generates smart follow-up emails based on the conversation. It’s built to help professionals turn voice interactions into meaningful summaries and next steps with minimal effort.
Rize captures both microphone and system audio, transcribes speech using the AssemblyAI API, and sends the transcript to NeuralSeek for in-depth analysis. The system extracts key discussion points, identifies action items, and generates a natural, context-aware follow-up email draft—helping users turn conversations into meaningful outcomes.
Secure authentication and user management are handled through Auth0, ensuring privacy and controlled access across devices.
Within a modern work ecosystem, Rize acts as an intelligent productivity companion. It streamlines post-call workflows by automatically capturing meeting insights, summarizing discussions, and generating follow-ups without manual intervention. This makes it ideal for sales, customer success, and operations teams—enhancing efficiency, accountability, and collaboration across organizations.
The Call Summary Agent processes a recorded or transcribed call and extracts the key takeaways automatically. It identifies main discussion points, action items, decisions made, and any follow-up commitments. The output includes a concise summary, a list of next steps, and high-level insights about tone, sentiment, or priorities — giving users a clear picture of what happened in the call without replaying it.
Category: Sales Productivity
This AI agent takes in .txt call transcripts and extracts a detailed call summary, key discussion points, and next steps. It then generates a personalized follow-up email that matches the tone and context of the conversation.
Outputs:
- A structured JSON object with summary, key points, and action items
- A ready-to-send email body in plain text
Optional recipient lists (CSV or array) can be provided to automate follow-ups and ensure no next step is missed.
Category: Sales Enablement
Analyzes multiple sales or support call transcripts to identify recurring topics and visualize them as a heatmap. The visualization helps sales leaders understand which talk tracks resonate, which objections trend, and where coaching is needed—without manually reviewing transcripts.
Category: Product Intelligence
Scans multiple call transcripts or summaries to extract mentions of product features or enhancement requests. It builds a feature request leaderboard, showing which ideas are most discussed. Product teams can use this data to prioritize the roadmap based on real customer feedback, filtered by segment, tier, or feature category.
Category: Sales Productivity
Processes individual call transcripts to generate an interactive post-call dashboard.
Includes:
- A detailed call summary and sentiment timeline
- A topic heatmap showing dominant discussion themes
- Talk-to-listen ratio, objection detection, and action items
- Highlighted customer hesitation moments
This gives sales managers fast, data-driven insight into each call’s quality and deal progression.
Category: Performance Coaching
Analyzes a call transcript to generate a performance score based on talk-to-listen ratio, sentiment shifts, objection handling, and closing strength. The output includes:
- A numeric score
- Strengths and weaknesses
- Targeted coaching suggestions
Delivered as structured JSON, ideal for performance tracking.
Category: Forecasting & Risk Detection
Ingests a CSV with deal information (name, account, stage, rep, activity, next steps, amount) and identifies pipeline momentum. It flags stalled deals, highlights fast-moving ones, and uncovers risk trends by analyzing activity velocity and engagement patterns.
Outputs can be delivered as a Slack message, email report, or Google Sheet—perfect for deal reviews or QBRs.
Category: Universal
Before processing any call transcript, this agent automatically removes personally identifiable information (PII) using NeuralSeek’s redaction tools. It ensures data privacy and compliance while maintaining the accuracy of AI-driven summaries and analyses.
We also developed a mobile application that includes all the above call recording and analysis features, making Rize easily accessible in both workplace and work-from-home environments.
This agent identifies all taxing authorities in California, scrapes their income or local tax rates, and links them to real addresses.
- Discover Authorities – Gather official state, county, city, and special district tax sources.
- Scrape Rates – Extract and normalize rate data with source tracking.
- Enrich Addresses – Use USPS ZIP+4 flatfile to append +4 digits and validate each sample address.
- Map Jurisdictions – Associate each address with its correct taxing authority using spatial or ZIP-based matching.
- Output – Produce clean CSV/JSON files mapping
{address → tax authority → rate}for analysis or audits.
Create an up-to-date, verifiable dataset of all California taxing authorities, their rates, and the addresses they govern.
- Frontend: React.js, Tailwind CSS, Auth0
- Backend: Node.js (API proxy for NeuralSeek and AssemblyAI), Express.js
- APIs: AssemblyAI, NeuralSeek
- Gemini API – Integrated into the mobile app for real-time Text-to-Speech generation.
- Auth0 – Used as the authentication and user management system for the web application.
- ElevenLabs – Powers Speech-to-Text conversion within the web app for accurate voice processing.
- Vultr – Provides high-performance cloud computing resources for deploying the Pacman game.