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AI DevSecOps platform running 32 parallel scanners with an AI engine that cuts false positives and auto-generates fix PRs.
Developer tool that deploys Docker Compose apps (with LLMs and databases) into your own AWS, GCP or Azure account via one command.
FinOps tool that maps cloud and AI spend to the code driving it and auto-generates cost-cutting pull requests.
Agentic AI SRE using dynamic code analysis to find, root-cause, and remediate code and infrastructure issues before production.
EU-hosted GPU server rental service offering bare-metal, GDPR-compliant machines pre-loaded with AI tooling like ComfyUI and OpenWebUI.
Free trial available
No public pricing
Free trial available
Free trial available
- ✦32 scanners (SAST, SCA, DAST, IaC, secrets, container)
- ✦Securitron AI false-positive filtering
- ✦AI auto-remediation with fix PRs
- ✦ASPM and CSPM posture management
- ✦CI/CD, IDE and MCP integrations
- ✦On-premises deployment option
- ✦One-command deploy from Docker Compose
- ✦Deploys into your own or a customer's cloud account
- ✦Native managed LLM access (Bedrock/Vertex/Azure AI)
- ✦Managed Postgres, MongoDB and Redis
- ✦Auto-configured IAM, VPC, TLS and load balancing
- ✦Open-source CLI and cloud providers
- ✦Maps cloud costs to the code that drives them
- ✦Cost-impact review on every pull request
- ✦Frugalbot agents that generate cost-reducing PRs
- ✦Coverage of storage, logs, AI APIs, serverless and databases
- ✦GitHub and GitLab workflow integrations
- ✦Dynamic Code Analysis engine
- ✦Automated root-cause analysis and remediation
- ✦Pull-request and config fix suggestions
- ✦MCP server for AI-assisted code review
- ✦Observability and data-source integrations
- ✦Runs locally or on-prem/private cloud
- ✦Hourly or monthly GPU rental across 13+ GPU tiers
- ✦One-click AI environment templates (ComfyUI, OpenWebUI/Ollama, Jupyter, vLLM)
- ✦Pause/freeze billing to cut idle costs
- ✦Full root SSH access with persistent NVMe storage
- ✦Published GPU and LLM inference benchmarks
- ✦EU-based, GDPR-compliant hosting
- →Scanning code and cloud for vulnerabilities
- →Reducing false-positive triage
- →Auto-fixing findings via pull requests
- →Meeting compliance (ISO 27001, PCI DSS, SOC2)
- →Shipping AI agents and web apps to production
- →Deploying the same app across many customer clouds
- →Agencies deploying into client cloud accounts
- →Avoiding hand-written Terraform or Kubernetes
- →Cut usage-based cloud and AI bills
- →Add cost reviews to the development workflow
- →Guide developers and AI agents to write cheaper code
- →Find savings that infrastructure right-sizing misses
- →Reducing incident resolution time
- →Catching performance issues pre-production
- →Enhancing AI code reviews with runtime data
- →Monitoring microservice performance
- →Running local LLM inference or fine-tuning without buying hardware
- →Generating images with ComfyUI/Stable Diffusion on rented GPUs
- →EU businesses needing GDPR-compliant AI infrastructure
- →Hobbyists experimenting with open-source AI tools on a budget
- →Short-term GPU bursts for training or rendering