Mithril
Unified GPU orchestration for AI and ML workloads across any cloud
Recommended for
- Solo / Indie
- Pre-Seed
- Seed
- Series A
- Scaleup
- Public / Enterprise
SSIE
Stage Fit Recommendations
Following data shows why Mithril is recommended for listed teams. The Fit Score represents the percentage fit of Mithril to each company stages, as calculated by the SSIE.
Stage
Fit Score
Fit Reasons
Solo / Indie
$0–$2,000 MRR
50- Entry pricing sized for this stage
- Open-source codebase, independently reviewable
Pre-Seed
$0–$10k MRR
54- Pre-built third-party integrations
Seed
$10k–$100k MRR
58- SOC 2 - core enterprise certification
- Single sign-on (SSO) via SAML 2.0
Series A
$100k–$500k MRR
59- DoD IL4/IL5 - gov-grade certification
Scaleup
$500k–$2M+ MRR
59- SOC 2 - core enterprise certification
Public / Enterprise
$100M+ ARR
57- DoD IL4/IL5 - gov-grade certification
Description
Mithril simplifies engineering and development for AI teams by unifying multi-cloud GPU, CPU, and storage resources into a single platform. With transparent pricing and flexible provisioning, teams can deploy machine learning workloads, run batch inference, and scale DevOps pipelines without vendor lock-in. The platform supports APIs and SDKs for seamless integration, while spot bidding and short-term reservations reduce compute costs. Ideal for startups, research labs, and enterprises, Mithril delivers high-performance data analytics and ML training with zero cloud complexity. Start with a free trial to experience streamlined GPU orchestration for AI-driven development.
Pricing
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