Platform partner for agentic AI
Across the business
Automate customer dialogue, campaign workflows, and follow-up.
Free time in CRM, quoting, and pipeline work with smarter automation.
Start here
A focused workshop where leadership, IT and operations sit at the same table. We work with your real processes and use cases.
Stories
From pilot fatigue to production-ready AI. One platform for agents, workflows, RAG, evaluation and monitoring.
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10,000+ control documents made searchable with a fully local, secure RAG solution that keeps sensitive data in-house.
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46% of meaningful conversations resolved during pilot - how Jernia automated customer service with a communication agent.
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Turning unstructured media noise into structured intelligence that communication and decision-making teams can act on.
Read moreHow we deliver
One foundation across every delivery — so capability compounds, project after project.
Dify is one of the most active agentic AI platforms in the world, with a global community of contributors driving constant improvement. You stand on a future-proof base from day one — and skip the years of in-house engineering it would take to build something close. Start on Neurosys Workflows (our hosted instance) and move to your own cloud or on-prem whenever you want.
NeuroSYS helped us uncover process improvements and cost savings we had not identified ourselves. Their insight has been essential in increasing productivity and reducing costs.
Working with NeuroSYS has been a great experience. What I appreciated most was their systematic workflow, which ensures projects are delivered on time. We engaged them to build a responsive IoT server architecture, and we couldn’t have chosen a better partner.
I was positively surprised by how thorough and precise the report was. Through the systematic opportunity assessment and digitalization report, we not only gained an overview of several relevant projects for automated metal sorting, but also concrete improvement opportunities-something I didn’t expect.
A short conversation to assess where agentic AI makes sense, and where other approaches fit better.
