Where hybrid AI makes a difference
Each sector has its own constraint: privacy, cost, connectivity or sovereignty. These are the problems the platform is designed for, and the benefit we expect it to bring.
Customer service
- The problem
- Agents search several systems to answer one question, and generic chatbots give answers the company cannot stand behind.
- With the platform
- An assistant grounded in the company knowledge base, order history and past tickets drafts replies for agents or answers directly on low-risk topics. Customer data stays on local inference.
- Expected benefit
- Faster, more consistent answers, with every reply traceable to its source.
Healthcare and professional firms
- The problem
- Clinics, law firms and accounting practices handle confidential documents that cannot be sent to public AI services, yet spend hours summarising and drafting.
- With the platform
- Summaries, drafting and document search run on a workstation or server inside the practice. Nothing confidential leaves the premises.
- Expected benefit
- Less time on paperwork, with professional secrecy preserved by design.
Retail
- The problem
- Product information, stock levels and customer questions are spread across channels and drift out of sync.
- With the platform
- Connectors read the catalogue and stock systems; the platform answers product and order questions consistently on every channel and helps staff write product content.
- Expected benefit
- Consistent information across channels and lighter support load at peak times.
Manufacturing
- The problem
- Know-how lives in manuals, maintenance logs and senior technicians, and factory networks are often isolated from the internet.
- With the platform
- Models run on edge hardware on the plant network, answering technicians from manuals and maintenance history, and helping structure quality reports.
- Expected benefit
- Quicker troubleshooting and knowledge that stays available when experienced staff are away.
Public administration
- The problem
- Administrations receive large volumes of requests and must keep citizen data on sovereign, auditable infrastructure.
- With the platform
- Classification, routing and draft replies run on-premise or on European cloud regions, with a full audit log for every automated step.
- Expected benefit
- Shorter response times with transparency and data sovereignty intact.
Education and training
- The problem
- Teachers and trainers lack time to give every learner individual feedback, and student data needs protection.
- With the platform
- Course material becomes a tutor that answers questions and suggests practice, running on the institution’s own infrastructure.
- Expected benefit
- More individual support for learners, under the institution’s control.
These scenarios describe what the platform is designed to do. We publish results only once they are measured with a partner.
Your sector is not listed?
The platform is general-purpose. Tell us about the service and its constraints.