Vellum AI
Vellum's mission is to bridge the gap between AI prototypes and production-ready systems, and to build safe, personal AI assistants for everyone.
At a Glance
- Enterprise teams
- Fintech
- Healthcare
- Real Estate
- +1 more
AI Tools by Vellum AI
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Vellum
AI Development Platform
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Latest News
Vellum Releases Report on 10 Best OpenClaw Alternatives in 2026
Analysis of Anthropic's New Model: Claude Mythos
Launching the Security & Trust Layer for AI Assistants
Vellum Raises $20M Series A to Bring Rigor to Enterprise AI Development
Products & Services
A native macOS desktop application for task management, email, Slack, and computer UI control with persistent memory.
Platform for building, evaluating, and deploying production-grade AI workflows and agents with version control and testing suites.
Market Position
Vellum positions itself as the foundational layer for enterprise AI development, emphasizing rigor, safety, and cross-functional collaboration over rapid, unmonitored experimentation.
Leadership
Founders
Akash Sharma
CEO & Founder at Vellum. Previously Product Manager and Business Operations Lead at Dover. Spent 5 years at McKinsey & Company in Silicon Valley. Education: UC Berkeley (BS Business Administration).
Noa Flaherty
Co-CTO & Founder at Vellum. Previously Software Engineering Manager at Dover and Software Engineer at DataRobot (MLOps). Education: MIT (BS Mechanical Engineering and Management).
Siddharth Seethepalli
Co-CTO & Founder at Vellum. Previously Founding Engineer at Dover and Software Engineer at Quora (ML Platform). Education: MIT (BS Computer Science).
Executive Team
Akash Sharma
CEO
Ex-McKinsey, Ex-Dover
Noa Flaherty
Co-CTO
Ex-DataRobot, Ex-Dover
Board of Directors
Founding Story
Founders Akash, Noa, and Sidd began building AI apps with LLMs in March 2020. They repeatedly faced roadblocks such as unpredictable model behavior and engineering bottlenecks, which inspired them to create a platform for rigorous AI development.
Business Model
Revenue Model
Subscription-based (Pro, Business, Enterprise) and usage-based prepaid credits for Personal Assistant.
Pricing Tiers
1 concurrent execution, basic features
Advanced logs, collaboration
RBAC, Audit logs, SOC 2 compliance
VPC, on-prem, dedicated support
Pass-through model costs at cost
Target Markets
- Enterprise teams
- Fintech
- Healthcare
- Real Estate
- Individual Professionals
- Building production-ready AI applications
- Personal productivity automation
- Enterprise knowledge base management
- Compliance automation
- Healthcare workflow automation
- Swisscom
- Redfin
- Drata
- Headspace