AI innovation and AI sovereignty. You should have both.
Lenders shouldn't have to choose. The future of enterprise AI isn't bigger models, it's smaller, sovereign ones: fast, cost-effective, explainable to regulators and owned by you.
Sovereign AI is the wedge. The data fabric is the moat.
Founded in 2023.
Synapze was founded on a simple observation: regulated enterprises want AI, but they can't risk their data, their compliance standing or their customers' trust on cloud AI services they don't control.
We built the data intelligence fabric that lets regulated lenders ship AI workflows in weeks, entirely inside their own walls. TinyAI models run without GPUs, without internet connections and without ever sending data to external services.
Today Synapze serves banks and lenders across the US, DACH and CEE, automating document-heavy workflows while keeping complete data sovereignty.
Synapze GmbH founded in Germany
First TinyAI model deployed
Production deployments with banking clients
Expansion into pharma and insurance
Scaling across the US, DACH and CEE
Our principles.
Sovereignty first
Enterprises should own their AI. Every architectural decision starts with data sovereignty.
Smaller is better
The future of enterprise AI is smaller, faster models that run anywhere.
Compliance by design
Regulatory compliance is built into the architecture from day one.
Prove it first
We don't ask for trust. We prove ROI in a pilot before you commit.
Operator meets engineer.
Rohit Bhosale
24 years scaling businesses and P&L across the US, Europe and Asia. Ex-Next47 (Siemens' venture arm) and Zeiss Ventures; Venture Partner at Momenta. Boston University and Harvard Business School.
LinkedIn →
Julian Hohenadel
Built TinyAI from scratch. Deep expertise in on-premises AI, sovereign architectures and domain-specific models that run without GPUs. MSc Computer Science, TU München.
Where we work.
Landshut, Germany
AI development, strategy, partnerships and customer success.
Kolhapur, India
Front-end development and back-end delivery.
Join us in building sovereign AI.
We're always looking for people who believe in data sovereignty and want to help regulated enterprises adopt AI safely.