Fast, affordable AI inference API with pay-per-token pricing and dedicated GPU compute
Everything has an algorithm
Stage
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Founded
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Based in
US
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Pricing model
Paid
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Pricing
Inference API: DeepSeek V4.1 Flash from $0.1275/M input tokens and $0.51/M output tokens. DeepSeek V4 Flash from $0.14/M input and $0.28/M output. DeepSeek V4 Pro 0813 from $0.561/M input and $1.683/M output. MiniMax M3 from $0.255/M input and $1.02/M output. GLM-5.3 from $1.19/M input and $3.74/M o
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Key features
Pay-per-token pricing with no subscriptions or minimums
Access to 10+ frontier open-source models including DeepSeek, MiniMax, GLM, Kimi and MiMo
OpenAI-compatible API for drop-in integration
NVIDIA B200 and B300 GPUs with speculative decoding
Multi-region deployment for low-latency responses
Zero cold start times with always-warm inference
SOC/2 approved infrastructure with zero data retention
Dedicated 8-GPU HGX nodes available prepaid for 12-36 months
Compatible with 20+ coding tools including Cursor and Claude Code
Vision analysis, web search and native tool calling built-in
Constant-state attention: models serve any context length from the same memory per request
HCGM: models run from disk storage instead of memory
M-Rail: context processed by a model can be reused instantly in future requests
CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
Organ grafting: transfer capabilities between models without training
Personal instruction set (ISA) compiled on device from phone signals
Population ISA: compile laws from many people without personal records
Digital twins of customers, fleets, cities or markets
Results identical across all machines and architectures
Computation cost follows novelty not data size
What makes it different
Industry-leading inference speed: 489 tokens per second on DeepSeek V4.1 Flash
Dramatically lower costs than competitors: $0.51 per million output tokens vs $10.00 for GPT-4o
First to deploy DeepSeek R1 at scale with 351 tokens per second
Enterprise-grade security with SOC/2, GDPR compliance and zero data retention
Constant memory cost regardless of context length or data size
Exact reuse: every computed result is kept and reused instantly
Portable execution with bit-identical results across all hardware
Models run from storage without retraining or fitting in memory
Privacy-preserving: raw data never leaves the device
Wirkung