Northflank
A runtime platform to run AI agents, services, databases, and GPUs in secure microVMs across any cloud
Recommended for
- Seed
- Series A
- Scaleup
- Late-Stage
- Public / Enterprise
SSIE
Stage Fit Recommendations
Following data shows why Northflank is recommended for listed teams. The Fit Score represents the percentage fit of Northflank to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Seed
$10k–$100k MRR
76- Data encryption at rest and in transit
- Offers real-time collaboration across teams and projects
- Deploys apps, databases, cron jobs and scheduled workloads
- Runs containers on demand with instant spin-up
- Hosts workloads on Northflank cloud or your own VPC
- Provides logs, metrics, autoscaling and backups out of the box
Series A
$100k–$500k MRR
92- Single sign-on with SAML and directory provisioning
- Role-based access control with admin audit logging
- Published uptime SLA and incident response commitments
- Data residency and regional hosting controls
Scaleup
$500k–$2M+ MRR
92- Enterprise procurement path with custom contracts and DPA
- SOC 2 - core enterprise certification
- Multi-factor authentication
- Third-party penetration testing
Late-Stage
$2M+ MRR
92- Manages GPU workloads for inference, training and notebooks
- Provides preview and production environments from pull requests
- Supports GitHub, GitLab, Bitbucket and Azure DevOps integrations
- Includes managed databases, caches and queues as add-ons
Public / Enterprise
$100M+ ARR
76- Public API documentation for developers
- Pre-built third-party integrations
- Multiple support channels (chat, email)
Description
Northflank is a runtime platform designed for AI-native companies to build, deploy, and scale their applications. The platform runs on Northflank Cloud or external cloud providers including Microsoft Azure, Amazon Web Services, and Google Cloud Platform. It provides secure sandboxes and microVMs to run AI agents, services, databases, and GPU workloads. Users can utilize a managed abstraction layer for Kubernetes that handles infrastructure complexity while maintaining user control. The service supports container deployment, continuous integration build pipelines, and various preconfigured compute plans starting from 0.1 vCPU. Pricing is based on flexible compute units, charging per hour for dedicated CPU, memory, and Nvidia GPU resources such as the L4, A100, and H100.
Pricing
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Reviewed by a human. SSIE Fit Scoring.
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