Run and fine-tune models. Deploy custom models. All with one line of code.
Authorization layer for AI agent spend with human-approved mandates and tamper-evident proof
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
Not given
Pricing model
Paid
Free trial
Pricing
Most models billed by time based on hardware used (CPU $0.000100/sec, T4 GPU $0.000225/sec, L40S GPU $0.000975/sec). Some models billed by input/output tokens or generated items. Private custom models billed for all uptime; fast-booting fine-tunes billed only for active processing.
Free 12 week pilot for card issuing platforms
Key features
Run thousands of community-contributed open-source models
Fine-tune models with custom data to create specialized versions
Deploy custom models using Cog, an open-source packaging tool
Automatic scaling based on demand
Pay only for compute time used
Image generation from text
Passkey-signed spend mandates with purpose, budget, merchants, and time windows
Real-time authorization decisions with sub-1 second response time at p99
Human challenge via passkey step-up for exceptional spend
Fail-closed payment processing if no decision arrives in time
Hash-chained evidence ledger with tamper-evident records
Exportable evidence packs for chargebacks and audits
Supports card, wallet, x402 and stablecoin payment rails
What makes it different
One-line code interface for running models without ML expertise
Automatic infrastructure scaling without manual management
Open-source community with thousands of production-ready models
Fine-tuning capability to customize models for specific tasks
Human-approved mandates enforce intent, not just static limits or merchant category blocks
Operates outside the agent in the issuer's authorization path, preventing agent bypass or override
Creates tamper-evident audit trail linked to agent identity, run, and policy version
Never holds funds or issues cards; integrates with existing issuer infrastructure
Single mandate and policy core across multiple payment rails and issuers
Levee