Start with your knowledge
Bring organizational policies, documents, systems, and working practices into the context of the workflow. Begin with the work you already do, not a generic chatbot.
Institutional context
The platform
Loresse combines organizational context with subject-matter expertise to rapidly develop specialized AI workflows for regulated environments.
Technology stack
Most AI tools rent someone else's stack and hold none of the knowledge. Loresse is built differently — vertically integrated, so the data and the intellectual property it captures stay with the organization that owns them.
A novel, vertically integrated technology stack — from compute and models to the client's own interface — keeps data and the intellectual property captured from experts under the organization's own sovereignty, not a vendor's.
Today's tools record what experts say — SOPs, transcripts, playbooks — and stop there. Loresse bridges the gap that doesn't exist in the market today: the essence of expert judgment becomes actionable, agentic workflows that do the work.
Develop, test, deploy, and govern both software and AI on one platform — the complete development lifecycle without stitching together a dozen tools.
The Loresse stack
Client data and the expert intellectual property captured on the platform remain under the client's control — from the compute layer to the interface your people touch.
How it works / 01—05
The best workflows don't begin with a model. They begin with the knowledge behind the work.
Bring organizational policies, documents, systems, and working practices into the context of the workflow. Begin with the work you already do, not a generic chatbot.
Institutional context
The essence of a subject-matter expert's intellectual property includes the exceptions, interpretations, and decision-making that aren't fully captured in documentation.
Expert-led design
Loresse uses agents to help build the agents that perform work, supporting rapid development of specialized enterprise workflows.
Agent creationComputer vision helps AI work with visual and document-rich inputs, improving the context available for results in complex enterprise processes.
Computer visionFor regulated teams, oversight cannot be an afterthought. Loresse's approach keeps visibility, governance, and human review alongside AI execution.
AccountabilityOur point of view
Generic tools don't know how your best people think. Our focus is the difficult middle: real workflows, expert judgment, and AI introduced into regulated environments with human accountability.
Explore workflow development