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TypeSafe AI vs Luminal
Typesafe AI returns typed decisions with calibrated confidence in ~100ms. Luminal compiles generative models into faster GPU code.
By The Subconscious Team · Updated
TypeSafe AI vs Luminal: key differences
Typesafe AI sells decision models that return typed answers with calibrated confidence in about 100ms, replacing some LLM calls with something smaller and more predictable. It is in early access. Luminal is an early-access engine instead: it compiles a generative model into native GPU kernels ahead of time and serves it serverless or on-prem.
They are rarely alternatives. Typesafe removes LLM calls where a structured decision is enough. Luminal makes the LLM calls that remain cheaper to serve, with a reported 36K tokens per second on GPT-OSS 120B across 8 H100s.
What TypeSafe AI and Luminal do
TypeSafe AI
TypeSafe AI builds decision models instead of text generators. Founder Diogo Almeida co-invented RLHF and InstructGPT at OpenAI and later worked at Google Brain. After two years in stealth the company released its first System One Model, Jev, in early access. The name nods to Kahneman's fast System 1 thinking, and the model is built for machines to call, not people to chat with.
Example models: Jev, jev-1.13
Full TypeSafe AI profileLuminal
Luminal builds an inference compiler. Where vLLM and SGLang interpret a model at runtime, Luminal compiles it ahead of time into native kernels for GPUs and ASICs. Models get lowered to a small graph of 15 primitive ops, and the compiler searches over fusion, tiling, memory and scheduling choices instead of relying on hand-written rules, which it says can find optimizations like Flash Attention on its own. The compiler is open source in Rust under Apache 2.0 or MIT, runs on CUDA and Metal with ROCm on the roadmap, and works as a torch.compile backend.
Example models: GPT-OSS 120B, Llama 3 8B
Full Luminal profileShould you choose TypeSafe AI or Luminal?
TypeSafe AI
Choose TypeSafe AI for
- Fast typed decisions with confidence scores
- Replacing classification-style LLM calls
- Predictable latency
Luminal
Choose Luminal for
- Faster serving of generative open models
- On-prem deployments with custom kernel work and SLAs
- Serving custom or fine-tuned architectures off any catalog
TypeSafe AI vs Luminal at a glance
| Attribute |  TypeSafe AI | Luminal |
|---|---|---|
| Model access | Decision models | Bring your own weights |
| Flagship models | Jev, jev-1.13 | No public catalog |
| Speed | ~100ms per call | 36K tok/s on GPT-OSS 120B, 8xH100 (vendor) |
| Price | A fraction of an LLM call | Pay per use; rates not published |
| Customization | Unknown | Compiles any PyTorch or HF model |
| Deployment | Early-access API | Serverless (early access), on-prem license |
| Long context | Unknown | Unknown |
Frequently asked questions
What is the difference between TypeSafe AI and Luminal?
Typesafe AI returns typed decisions with calibrated confidence in ~100ms. Luminal compiles generative models into faster GPU code.
When should I choose TypeSafe AI over Luminal?
Fast typed decisions with confidence scores; Replacing classification-style LLM calls; Predictable latency.
When should I choose Luminal over TypeSafe AI?
Faster serving of generative open models; On-prem deployments with custom kernel work and SLAs; Serving custom or fine-tuned architectures off any catalog.
Is TypeSafe AI or Luminal cheaper?
TypeSafe AI: A fraction of an LLM call. Luminal: Pay per use; rates not published. The cheaper choice depends on the model and workload.
Related comparisons
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.