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Rewriting the economics of intelligence

Boundless is the inference partner for AI-native startups, running open-weight models at the price and performance your product deserves.

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Our approach

Embedded inference engineers for superior intelligence

Our inference engineers work inside your stack, tuning and operating the serving path to cut cost and raise throughput.

The result: better AI products, more workloads that scale, and more of your roadmap worth building.

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Model library

Better economics for frontier intelligence

Get started in seconds on the open-weight models worth running.

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The right model, chosen by experts.

We are experts in open-weight models. We identify the right model for your workload, then implement and operate it for the performance and economics your product demands.

How it works

Synthetic dataEvalsLong-horizon jobsAgent rolloutsBatch processing

• Step 1

Identify the right model

We match your quality threshold, context shape, latency target, traffic pattern, and budget against the models we have benchmarked, then select the one that fits.

[ Quality threshold ][ Traffic pattern ][ Latency target ][ Model fit ][ Context shape ][ Serving approach ]

• Step 2

Tune it to your traffic

Our engineers tune precision, parallelism, caching, batching, and routing under your real traffic, so the serving path is shaped to your workload before launch.

[ GLM-5.2 ][ DeepSeek-V4-Flash ][ Nemotron 3 Super ][ Qwen3.6 ][ Kimi K3 ]

• Step 3

Operate it in production

We run the model day to day, retuning as your traffic changes and tracking throughput, latency, and task success. When a better model ships, we help you move to it.

Build beyond the old cost curve.

Fit

Is Boundless right for your team?

Boundless is for AI-native startups moving open-weight models into production looking for better economics.

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[ Fit 01 ]

Inference is central to your product and cost base.

[ Fit 02 ]

You are building on open-weight models or actively evaluating them.

[ Fit 03 ]

You have recurring production traffic, not a one-off experiment.

[ Fit 04 ]

You want a hands-on inference partner to customize your experience.