Where software engineering meets data science
Softience was founded on a simple observation: most business software ignores the data it generates. We build software that learns from it instead.
Our story
Our name is the whole idea: softience is software and science collapsed into one word. Softience began as a small team of software engineers and data scientists who kept meeting on the same projects — one group building the application, the other building the intelligence behind it. Merging the two disciplines into a single studio was the obvious next step.
Today we design and deliver business software for clients across finance, logistics, retail, healthcare, and manufacturing — products where forecasting, automation, and machine learning are core features, not bolt-ons.
We stay deliberately small and senior. Every project is led by people who have shipped production AI systems before, and who will be honest with you when a simpler solution beats a fancier model.
Curiosity first
We start with your data and your questions, not with a predetermined stack. The right model is the one that answers the real problem.
Engineers and scientists, one team
No handoffs between 'the AI team' and 'the dev team'. The people who build the model ship the product.
Outcomes over demos
A notebook that impresses in a meeting is not a product. We measure ourselves on production impact and ROI.