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David AI is a data-focused company built around audio pipelines and evaluation frameworks for machine learning. The tech stack—Python, PyTorch, PostgreSQL, AWS, plus WebRTC and FFmpeg for audio I/O—reflects a lean engineering org centered on data pipeline infrastructure. The hiring composition (7 engineers, 4 data, plus research and product) and repeated project focus on scaling data collection, pipeline health, and evaluation frameworks signal a company architecting the data layer itself rather than building end-user applications.
Tech Stack 14 technologies
Core StackPython PyTorch Next.js TypeScript Tailwind CSS Node.js PostgreSQL AWS MySQL SQL tRPC Trigger.dev WebRTC FFmpeg
What David AI Is Building
◆Challenges
- Scaling audio data pipelines
- Monitoring pipeline health
- Scaling large-scale operational efforts
- High-quality data production at scale
- High-volume audio processing
- Ensuring high-quality audio data
- Scaling contributor network
- Reducing contributor drop-offs
- Forecasting scaling needs
- Scaling new capability 0→1
▲Active Projects
- Designing and scaling audio data pipelines
- Data collection pipelines for high-value audio capabilities
- Designing new data shapes
- Scalable data processing pipelines
- Evaluation frameworks for audio ai capabilities
- Building scalable data factory systems
- Industrializing data pipelines
- Custom 0→1 products
- Automated systems for continuous classifier improvement
- Seamless contributor experiences
Hiring Activity
Minimal15 roles · 0 in 30d
Department
Seniority
Company intelligence
