Skip the Cloud Tax
Be among the first 100 builders to get 1,000 free SLY credits. No card. No gatekeeping.
23 spots left · No card required
Be among the first 100 builders to get 1,000 free SLY credits. No card. No gatekeeping.
23 spots left · No card required
Break free from cloud monopolies
Decentralized AI inference powered by idle smartphones. Verified at the edge.
No credit card gatekeeping. No surprise bills. No GPU waitlists. Just proof-verified compute that costs 70% less.
Deploy AI models on a decentralized network of smartphones instead of renting overpriced GPUs from cloud giants.
Building AI should not require a VC's checkbook or AWS's permission.
There is a better way →
Every phone on Earth has compute sitting unused. Why rent from monopolies when we can share peer-to-peer?
Cryptographic receipts and 15x redundant validation. Math over marketing.
Not what AWS thinks you will use. Not what your quota allows. Actual inference tokens processed.
Your models. Your policies. Your devices. No proprietary lock-in. Full API ownership.
No card. Signed receipts. Ship faster.
Private beta · Q1 2025
From GGUF to production endpoint in minutes. No DevOps required.
Drag and drop your quantized models. We support all major formats: Q4_K_M, Q5_K_S, and more. Your models stay private.
Choose which models to deploy. Set your redundancy level. Configure device policies. Hit deploy. That is it.
Test your endpoint immediately. Get cryptographic receipts for every inference. Scale from zero to production instantly.
Submit
Client sends job + constraints.
Shard
Coordinator splits & routes slices.
Validate
Phones run; slices cross-check.
Merge
Coordinator assembles result + receipt.
Pay per inference. No minimums. No surprises.
Validated workloads turn into SLY usage credits that offset your future jobs.
Tap idle phones instead of spinning new servers. Less stranded capacity.
Per-task receipts: job type, duration, replication %, anomalies, timings.
Opportunistic background tasks with device caps to avoid interference.
Build and scale AI products without the infrastructure burden.
Deploy AI with compliance, auditability, and control.
Accelerate experimentation with elastic compute.
Integrate AI features with edge-optimized performance.
| Acurast | Enurochain | SlyOS | |
|---|---|---|---|
| Built-in validation | ~ | ✕ | ✔ |
| AI-optimized inference | ✕ | ~ | ✔ |
| Edge-first latency | ~ | ✕ | ✔ |
| Cryptographic receipts | ✕ | ✕ | ✔ |
| Private compute pools | ✕ | ✕ | ✔ |
| Cost structure | Variable | Token-based | Up to 70% lower* |
*Illustrative savings shown in Pricing section compared to traditional cloud providers.
No. SLY are platform usage credits—not cryptocurrency or tokens. There is no blockchain, no mining rewards, and no speculative trading. Think of SLY credits like AWS credits: they are simply accounting units for compute time on our platform.
Currently optimized for embeddings, lightweight inference (up to 7B parameter models), and bursty evaluation tasks. We are expanding to support larger models through device-class routing, where higher-spec smartphones handle more demanding workloads. RAG pipelines, semantic search, and classification tasks work particularly well.
Every job gets cryptographic receipts that include: redundancy percentage (typically 15x validation), consensus details showing which devices agreed, anomaly detection results, and precise timing data. You can verify that multiple independent devices produced identical outputs, making tampering mathematically impractical.
Absolutely. You can create private pools with your own devices, use vetted contributor pools with KYC'd participants, set geographic restrictions (e.g., "EU devices only"), require minimum device specifications, or combine these policies. Enterprise customers get granular control over device selection.
We measure validated completion time, not just raw device speed. Our SLA guarantees are based on successfully validated outputs. If redundancy fails or consensus is not reached, you do not pay. Typical jobs complete within 2-5 seconds for inference, with sub-second p95 latency for edge-local requests.
For supported workloads, you will typically see 60-70% cost reduction compared to cloud GPU instances. Pricing is transparent: you pay per million tokens processed, with volume discounts automatically applied. No hidden fees, no egress charges.
Jobs can be end-to-end encrypted. Input data is sharded before distribution—no single device sees your complete dataset. Models run in secure enclaves where available. For maximum privacy, use private pools where you control all devices. We never log or store your inference inputs or outputs.
Device owners earn credits proportional to validated compute time. Earnings depend on device specs, uptime, and validation success rate. High-performing contributors get priority routing. You can cash out credits or use them to offset your own inference costs.
Join our waitlist above. We are onboarding in phases: first companies with immediate inference needs, then individual developers, and finally contributor device owners. Beta participants get 1,000 free SLY credits. Typical onboarding takes 2-3 days including API key setup and initial testing.
We support ONNX, TensorFlow Lite, and PyTorch Mobile formats. Popular models include Sentence Transformers (embeddings), DistilBERT, MobileBERT, BERT-small, and quantized versions of Llama, Mistral, and Phi. If you have a specific model, reach out—we are rapidly expanding compatibility.
Onboarding in phases. Add your email for early access.
We store your email, audience type, and (if provided) company to manage access invites.