Defang Labs
Defang simplifies the development, deployment, and debugging of cloud-ready applications by leveraging Generative AI to go from natural language prompts to production-ready deployments.
At a Glance
- Software developers
- AI startups
- Enterprise DevOps teams
- Cloud engineering teams
AI Tools by Defang Labs
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Defang
Docker Compose Cloud Deployer
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Latest News
Defang participates in Web Summit 2024
Defang showcased at Elevate Festival 2024
Defang joined Google for Startups AI Showcase 2024 cohort
Defang raises Pre-seed funding led by CapitalT
Products & Services
A platform to instantaneously go from a natural language prompt to a project outline and code, then deploy to the cloud.
A command-line tool for managing and deploying cloud applications using a single command.
Enables deployment of containerized workloads directly to the user's own AWS or GCP account.
Market Position
Defang positions itself as a radically simpler alternative to traditional cloud deployment tools, focusing on the 'Develop Once, Deploy Anywhere' philosophy using AI to bridge the gap between code and infrastructure.
Leadership
Founders
Prakash Sundaresan
CEO and Co-founder. Previously CTO, President, and Board Member at Trusted Key (acquired by Workday). Spent 20 years at Microsoft as a Principal Group Program Manager.
Lionello Lunesu
CTO and Co-founder. Previously Sr. Principal Software Engineer at Workday, Chief Software Architect at Trusted Key, and Senior Tech Lead at Microsoft.
Antoine Cote
Co-founder, AI and Data. Previously CTO at BC Technology Group, Co-founder and CEO at Bridgepoint, and Chief Security Officer at Trusted Key. Also a Principal Group Manager and Architect at Microsoft.
Executive Team
Prakash Sundaresan
CEO
Former CTO at Trusted Key and Microsoft veteran.
Lionello Lunesu
CTO
Former Workday Principal Engineer and Trusted Key Architect.
Founding Story
The founders started Defang because they were unhappy with the complexity of building, deploying, and managing cloud applications. With backgrounds at Microsoft and AWS, they aimed to create a 'radically simpler' way for developers to build portable, resilient cloud apps.
Business Model
Revenue Model
Subscription-based model (SaaS) with tiered pricing and enterprise licensing; also available via AWS Marketplace.
Pricing Tiers
1 project, 1 environment, max 4 services, 1GB RAM, 1 vCPU, ephemeral Postgres/Redis, community support.
1 project, 3 environments, managed Postgres/Redis, spot instances, 3-day response time support.
10 projects, 3 environments, GPUs, autoscaling, on-demand instances, 1-day response time support.
Coming soon with collaboration and control features, enterprise-grade support.
Target Markets
- Software developers
- AI startups
- Enterprise DevOps teams
- Cloud engineering teams
- Cloud application development
- AI application deployment
- Modernizing legacy deployments to cloud
- Prototyping to production workflows
- Ekai