Side-by-side comparison of AI visibility scores, market position, and capabilities
San Francisco CA secrets management platform; raised $20M+; central storage, sync, and rotation of environment variables and API keys for dev teams.
Doppler is a secrets management platform founded in 2019 and headquartered in San Francisco, California. The company was founded by Brian Vallelunga and Ryan Blunden to solve a problem endemic to software development teams: secrets sprawl. Environment variables, API keys, database connection strings, and other configuration secrets routinely end up hardcoded in source code, scattered across .env files, sent over Slack, or duplicated inconsistently across development, staging, and production environments. Doppler provides a central secrets store where teams manage all configuration secrets in one place and sync them automatically to every environment.\n\nDoppler raised $20 million in funding from investors including Sequoia Capital and CRV. Its developer-first platform integrates with CI/CD pipelines, cloud platforms, and deployment tools so that secrets flow automatically to where they are needed without manual copying or environment-specific .env file management. The Doppler CLI allows developers to run applications locally with secrets injected from the central store, eliminating local .env files entirely. The platform supports fine-grained access controls, secret versioning, change history, and audit logs, enabling security teams to govern who can read or modify secrets without slowing down developers.\n\nDoppler's integrations cover AWS Secrets Manager, Google Secret Manager, Azure Key Vault, HashiCorp Vault, GitHub Actions, GitLab CI, CircleCI, Heroku, Vercel, Render, and many other platforms. Teams can use Doppler as their primary secrets store or as a secrets sync layer that propagates secrets from Doppler into their preferred secrets backend. The platform serves engineering teams from startups to enterprises, with a free tier for small teams and enterprise plans with SSO, compliance controls, and dedicated support.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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