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# Solbach Datentechnologie GmbH
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Research-grade data infrastructure for B2B sales work in the DACH region.
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We turn flat company lists into readable sales cases — combining registry data, website context, classification and signal layers into per-account research a sales team can actually use, instead of a CSV they still have to qualify.
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Most of our compute is recurring batch inference across millions of DACH entities: extraction, classification, scoring, re-scoring. That workload is structurally different once you own the inference layer, so we run our own — currently vLLM with quantized 30–50B-class models, batched and queue-pressured to keep utilization high. A single tuned RTX PRO 6000 handles ~1B tokens/day for our workloads, roughly 5× our prior external-API baseline; most of the gain came from pipeline shape, not the model swap.
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This profile is where we track the inference side of that stack and share useful artifacts where it makes sense.
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Long-form notes on methodology, data and how the whole thing comes together: [blog.solbachleads.de](https://blog.solbachleads.de)
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Solbach Datentechnologie GmbH · Bad Honnef, Germany
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