Adaptive at any volume
Observes token patterns and prompt shapes.
Finds capacity and scales on its own,
even during peak hours.
Book a meeting with our foundersInference built for async AI
The most intelligence per dollar on any open-source model,
running serverless or in your own cloud.
Inference that
adapts to your workload
Run it your way
Any open-source model or fine-tuned LoRAs,
any deployment, any use case.
Built for production
Managed endpoints that actually hit SLOs,
from a few seconds to hours.
Meet with our founders
Ready to dive deeper? We’d love to connect
Noam Salinger
Founder & CEO
Boaz Touitou
Founder & CTO
✦
Serverless inference
built for async AI
Send your agents and batch jobs to one serverless endpoint, and we run them on the cheapest capacity that fits. No GPUs to manage, no rate limits, pay per token for your exact workload shape.
✦
Bring your own cloud
and your data never leaves it
Same state-of-the-art inference, built for regulated
industries and strict data-residency requirements. Get the performance and efficiency of Impala, entirely within your own infrastructure.
Adaptive inference is the future.
Our inference engine reads the shape of your live traffic
and reconfigures itself around it — kernels, batching, decoding —
so the same fleet serves more tokens for less money.
300%
Token throughput
Up to 300% on the same hardware
PPMT
Price per million tokens
Throughput lands on unit cost
ZERO
Changes on your side
Same models, API and prompts