What you can use today is marked “Available”. Pilots run on our side and we open them one by one; “In development” is the target — we already take requests for it.
LLM compute
Available
Any LLM through one API, at the lowest price that reaches your measured quality bar.
CHF per 1M tokens, daily price
- OpenAI-compatible API, one key for all platforms
- Quality tiers per use case instead of a model lottery (model taylor)
- Live price comparison across platforms, card payment only
measured300 offers, 215 models, 3 price sources in the price book
Model evaluation
Pilot – on request
We measure your model or endpoint with open benchmarks, reproducibly and with evidence.
Fixed price per evaluation run
- Compact suite (coding, knowledge, maths, instruction following) from a few francs
- Every number with run ID, sample size and settings
- Before/after for quantisation, fine-tuning or a change of provider
measuredCompact suite ≈ CHF 2 per offer for third-party models
Dedicated inference
In development
Reserved throughput on open models in Switzerland, no shared queue.
CHF per month and reserved capacity
- Open weights (27B class, embeddings), fixed capacity
- Data stays in Switzerland, no training on customer data
- Tokens per second as a commitment, measured and published
measured27B NVFP4 on RTX 5090: 72–81 tokens/s per request, 573 tokens/s at 8 parallel
FPGA streaming analytics
Pilot – on request
Features from data streams computed in hardware, bit-exact, at sub-millisecond cadence.
Pilot, fixed price per stream and month
- Dedicated feature engine on FPGA, checked bit-identical against its software twin
- For market, sensor and telemetry streams
- Raw data, features and checksums per event
measured3.27M events, 0 lost, 0 deviations from the twin; round trip p99 0.88 ms
FPGA dynamics computing
In development
Cellular automata, stencils, Ising/MaxCut directly as a circuit, not as a program on a GPU.
Job, price per run
- One update per cell and clock cycle, all cells in parallel
- Dynamics compiler: from model to circuit, bit-exact to the reference
- Results with a check word from the chip
measuredBit-identical to the reference on silicon (Rule 110, GKL majority)
projection (place-and-route)Rule 110 N 4,096: computed ≈ 8× the best GPU (from place-and-route, not measured on the chip)
Reservoir & quantum reservoir computing
In development
Time-series forecasting with physical reservoirs, classical and as a Rydberg quantum simulation.
Study at a fixed price
- Studies on memory, forecasting and chaotic time series
- Honest comparison against tuned classical baselines
- Later: runs on neutral-atom hardware
simulationOwn Lindblad simulator for 8–9 Rydberg atoms; no advantage over tuned ESNs measured so far