WhyLabs
WhyLabs provides an AI observability platform to help teams monitor, diagnose, and improve machine learning models and data pipelines.
At a Glance
- Financial Services
- Healthcare
- Retail
- Technology
AI Tools by WhyLabs
(2)
whylogs
Open Source Data Logging Library
WhyLabs
AI Observability Platform
Discussions
No discussions yet
Be the first to start a discussion about WhyLabs
Latest News
Apple Reportedly Acquires WhyLabs to Enhance AI Security and Observability
WhyLabs Discontinues Independent Operations and Open-Sources Entire Platform
WhyLabs Launches LangKit for LLM Telemetry and Security
WhyLabs Raises $10M Series A to Expand AI Observability Platform
Products & Services
A SaaS platform (now open-source) for monitoring machine learning models and data pipelines, focusing on data drift, quality, and performance.
An open-source standard for data logging that enables privacy-preserving monitoring by generating statistical summaries of data.
An open-source toolkit for monitoring Large Language Models (LLMs), including telemetry for sentiment, toxicity, and hallucinations.
Market Position
Leading provider of AI observability with a focus on privacy-preserving logging and open-source standards.
Leadership
Founders
Alessya Visnjic
Former CEO of WhyLabs; Senior Technical Program Manager at Amazon (8 years); CTO-in-Residence at AI2; Engineering leader at Apple following acquisition.
Andy Dang
Former CTO of WhyLabs; Senior Software Development Engineer at Amazon/AWS; Principal Engineer at Apple following acquisition.
Sam Gracie
Former CPO of WhyLabs; Principal UX Designer at Amazon/AWS; Principal Designer at Apple following acquisition.
Maria Karaivanova
Former COO of WhyLabs; Principal at Madrona Venture Group; Head of Business Development at Cloudflare.
Executive Team
Alessya Visnjic
CEO & Co-founder
Amazon, AI2
Andy Dang
CTO & Co-founder
Amazon, AWS
Board of Directors
Founding Story
Spun out of the Allen Institute for AI (AI2) by former Amazon engineers who recognized the critical need for monitoring tools as AI moved from research to production.
Business Model
Revenue Model
SaaS subscription and usage-based pricing models; open-source core with enterprise features.
Pricing Tiers
Free tier for individuals and small teams; includes monitoring for up to 2 models.
Paid tier for growing teams with advanced features and higher usage limits.
Full-scale solution for large organizations with custom integrations, security, and support.
Target Markets
- Financial Services
- Healthcare
- Retail
- Technology
- MLOps
- Large Language Model (LLM) Monitoring
- Enterprise Data Quality Management
- Responsible AI Compliance
- Airspace
- Major Healthcare Provider
- Fortune 500 Retailer