Modal
Modal: Scalable Serverless Platform for AI and Data Teams to Run Compute at Scale
Recommended for
- Pre-Seed
- Seed
- Series A
- Scaleup
- Late-Stage
- Public / Enterprise
SSIE
Stage Fit Recommendations
Following data shows why Modal is recommended for listed teams. The Fit Score represents the percentage fit of Modal to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Pre-Seed
$0–$10k MRR
55- Pre-built third-party integrations
- Multiple support channels (chat, email)
- Entry pricing sized for this stage
- Open-source codebase, independently reviewable
- Data encryption at rest and in transit
- Multi-factor authentication (MFA) enforcement
- Automated data backup with retention policies
- Documented disaster recovery procedures
Seed
$10k–$100k MRR
64- SOC 2 - core enterprise certification
- Single sign-on (SSO) via SAML 2.0
- Role-based access control (RBAC)
- Detailed audit logging of user activity
- Regular third-party penetration testing
- Public trust center for security posture
- Active bug bounty program
Series A
$100k–$500k MRR
71- HIPAA - regulated-industry certification
- PCI DSS - regulated-industry certification
- Configurable regional data residency
Scaleup
$500k–$2M+ MRR
72- SOC 2 - core enterprise certification
Late-Stage
$2M+ MRR
72- SOC 2 - core enterprise certification
Public / Enterprise
$100M+ ARR
71- SOC 2 - core enterprise certification
Modal is a serverless platform designed for AI and data teams to run compute-intensive workloads at scale. By leveraging APIs and SDKs, developers can build and deploy full-scale AI systems, including inference, training, and batch processing. With instant autoscaling and sub-second cold starts, Modal provides elastic cloud capacity for GPU access and secure sandboxes. The platform is engineered from the ground up for heavy AI workloads, offering out-of-the-box observability with integrated logging and full visibility into functions and containers. As a freemium offering, Modal supports a range of use cases, from machine learning to developer tools, making it an ideal choice for teams working with AI and LLMs.
Pricing
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