Start from the decision
If there is no measurable decision behind it, we say so first.
The layer underneath the model
Why AI,
and why now?
Most AI projects stall between the demo and production. The model works, then it meets real data, real load, and real cost. We build the layer underneath, so the result runs reliably and pays for itself. That is the work we did on the AI infrastructure behind Hangst AI Playground.
AI Infrastructure
GPU and compute planning, model serving, and the scaling rules around them. We size the infrastructure to the workload so inference stays fast without paying for idle capacity.
Data Pipelines
Models are only as good as what feeds them. We build the ingestion, cleaning, and labelling pipelines that turn your existing systems into training and inference data, and we keep them running.
Model Integration
We put the model where the work happens, inside your product and your internal tools, with clear fallbacks for when it is uncertain. Staff keep their judgement, and the software removes the repetitive part.
How we work
How we get AI into production.
Most AI work stalls between the demo and the deployment. We build the layer underneath: the data, the serving and the cost control that decide whether it survives contact with real use.
Build the data path
Versioned data, so a result from six months ago can still be explained.
Serve it reliably
Batching, caching and fallbacks, as built for Hangst AI Playground.
Control the cost
Cost per request reported per feature, so you can decide what stays.
Why this matters
The demo is the easy part.
Real data breaks models
What works on a clean sample fails on production input. We build the cleaning and validation before the model sees anything.
Latency is a product decision
Batching, caching and fallbacks decide whether a feature feels instant or gets abandoned.
Inference is a monthly bill
We report cost per request per feature, so you can decide what earns its place.
Answers you can explain
Versioned data and stored evaluations mean a result from six months ago can still be accounted for.