BuildBetter

BuildBetter is an AI-powered product research tool that automates and enhances various aspects of product management and team collaboration. It uses advanced AI to analyze calls, extract insights, and generate comprehensive summaries, helping product teams streamline their operations and make data-driven decisions.

Key features:
- AI-powered research: Analyzes and extracts insights from calls using machine learning and GPT-4
- Call recording and transcription: Records and transcribes internal meetings and external customer interactions
- Powerful search: Enables users to search through call content via a native desktop app
- Call summarization: Provides detailed summaries custom-trained on over 15 types of product-related calls
- Auto-tagging and organization: Automatically tags and organizes calls by topic, tag, or process
- Integration with Webex Meetings: Turns calls into sharable assets for company-wide alignment
- Privacy controls: Offers tailor-made call privacy controls with GDPR, HIPAA, and SOC 2 Type 2 audited security
- Language support: Auto-detects over 7 languages with manual support for 10 additional languages
- Sharing and collaboration: Allows free sharing of transcriptions and summaries with team members
- Automated task management: Streamlines routine tasks to focus on strategic activities
- Real-time collaboration tools: Facilitates better communication within teams
- Performance analytics: Provides insights into team performance and project progress

How it works:
1. Records and transcribes calls from various platforms (Zoom, MS Teams, Google Meets, Webex)
2. Analyzes call content using AI to extract insights and generate summaries
3. Organizes and tags calls automatically or manually for easy retrieval
4. Allows users to search through call content and generate context-rich documents
5. Integrates with existing tools to provide a unified workflow

Integrations:
- Webex Meetings
- Likely integrations with common project management and communication tools

Use of AI:
- Utilizes generative AI for task automation, data analysis, and insight generation
- Employs machine learning for call analysis and summarization
- Uses natural language processing for multi-language support and search functionality

AI foundation model:
- GPT-4

Target users:
- Product teams
- Startups
- Small to fully scaled organizations
- Product managers
- Team leaders
- Stakeholders involved in product development

How to access:
- Web application accessible from any device with internet connectivity