The distributed ML engineers who could liberate you from API dependency cost $500K/year. We deploy your sovereignty for $75K.
Market Rate
$500K/year
Our Price
$75K once
Three ways API dependence becomes strategic risk
GPT-4o → GPT-5: production systems broke. Prompts tuned to 4o behaviors stopped working. Some use cases couldn't be recovered.
When you own the model, it doesn't change unless you change it.
Eliminate your data exfiltration leakage to competitors or brokers who middleman for competitors.
Architectural impossibility to intercept, not contractual promise.
Costs scale against your success with API providers. Predictable monthly spend.
Pay infrastructure rates, not API markup. Not funding competitor's R&D.
The scarce knowledge is now one-click deployable
The DeepSeek moment proved it: clever architecture beats expensive compute. Frontier results on commodity GPUs.
Distributed ML expertise was rare and guarded. We've codified it. What took 10 years to learn, you deploy in 24 hours.
All parallelism strategies built-in. Pipeline, tensor, data, FSDP—configured automatically for your hardware.
From payment to production in 24 hours
The Process
Configure & Pay
5 minutes
We Deploy
24 hours
API Key in Inbox
You're live
OpenAI-Compatible API
# Before
base_url = "https://api.openai.com/v1"
# After
base_url = "https://your-instance.sovereign.ai/v1"
Your existing prompts, integrations, and tooling just work.
Full Ownership
Models run in your environment. Standard APIs. No proprietary formats. If you leave—or if we disappear—export and keep running:
Lock-in is our competitors' business model. Portability is ours.
The engineering that turns commodity into capability
Pipeline Parallelism
Split layers across GPUs. Process batches simultaneously.
LLaMA 70B · 4×A100 · 90ms TTFT
Tensor Parallelism
Divide computations across devices. Automatic sharding.
DeepSeek 685B · 8×H100 · 250ms TTFT
Data Parallelism
Process different batches in parallel. Gradient sync.
Qwen 235B · 4×H100 · 60 tok/s
Gradient Checkpointing
Trade compute for memory. Train larger models.
70B training on 2×A100
FSDP
Shard parameters and gradients. 10× memory reduction.
Fine-tune 70B on 4×A100
Auto-Optimization
Analyze hardware. Generate optimal strategy automatically.
2,400 configs · 3 min
Near-Lossless Compression
99% compression with ~1% quality impact. State-of-art techniques.
99% smaller · <1% loss
Quantization
You choose the tradeoff. 8-bit, 5-bit emerging. We implement, test, and optimize—you configure.
fp32 → int8 · minimal impact
From evaluation to complete independence
Same architecture, shared infrastructure. Verify performance before committing.
Immediate activation
Production sovereignty. Your cloud GPUs or vetted providers. 24-hour deployment.
Operational in 24 hours
Total control. Your hardware. Data never leaves your site.
14 day implementation
Custom engineering. Fine-tuning. Distillation. Architecture optimization.
48-hour response
No. We recommend providers based solely on reliability and competitive pricing. You contract directly with the provider—we do not receive referral fees, margin on infrastructure costs, or any form of compensation from them. Your cloud account, your commercial relationship. No lock-in to them or to us.
Your competitors are building moats. You're building theirs.