An AI-native operating system for institutions. Not a point solution: a reusable framework that redesigns how institutions think, operate, and learn. Same OS, two very different domains: sport and education, and aviation infrastructure.
Every industrial revolution changes what intelligence and institutions need to be. Education systems, legacy enterprises, and critical infrastructure were designed for slow information, manual decision-making, and stable roles. AI compresses decision cycles and shifts human labour to judgment and coordination, yet these systems have no mechanism to redesign themselves.
Current "solutions" are fatally shallow: sprinkling AI into legacy systems without changing institutional design, and episodic consulting projects that leave no persistent operating fabric. The institution stays structurally unchanged. The next engagement starts from zero.
An AI-native operating system for institutions, not a point solution. Three interlocking layers that redesign how institutions are specified, operated, and made intelligent. Each deployment makes the OS smarter. The institution itself becomes a learning system.
Two distinct implementation tracks, each built on the same layered architecture, with specialist agents and artefacts on top. The framework validates across completely different institutional contexts.
Expert delivery partners bring proven capability, domain expertise, and established accelerators. Platform intelligence, IP, and governance remain with Inovivo Group. Partners operate within our framework, not around it.
"I have sat on every side of the transformation table: as the executive sponsoring the programme, as the client paying the consultants, and as the person left to fix what they left behind. Inovivo Group exists because that cycle has to end."
Seeking £250K–£300K from angels and family offices to fund Inovivo Transform design phase and MVP. SEIS eligible. Targeting close within 90 days.
Inovivo Transform uses a layered commercial structure: a committed Foundation Access layer (predictable, annual revenue), a Consumption layer that scales naturally with use, and where measurable an Outcome layer aligned to client results. Inspired by the AWS and Snowflake model. No flat SaaS. Built to land and expand. Clients are never priced out of starting.