We study how existing and future models can connect to tools, governed infrastructure, specialized knowledge, and accountable action.
These areas are not presented as released products. They define the systems work we are exploring as the LabOne37 research program takes shape.
Agents that turn goals into bounded plans, select tools, maintain state, coordinate work, and recover from failure while preserving human control.
LabOne37's first product: a governed enterprise gateway in development for access, security, token intelligence, observability, and model routing.
Models adapted to the terminology, evidence standards, workflows, and constraints of specialized technical domains.
Agentic capability is useful when operators can understand intent, inspect actions, interrupt execution, and evaluate outcomes.
Decompose goals into explicit steps with budgets, constraints, checkpoints, and defined stop conditions.
Grant only the capabilities needed for the task, with clear authorization boundaries and reversible actions where possible.
Record decisions, tool inputs, outputs, uncertainty, and recovery behavior so performance can be inspected.
Judge agents by completed work, resource use, policy adherence, and the quality of escalation when they cannot proceed.
Language, voice, agents, and specialized knowledge should not become isolated product silos. We study the interfaces that let each system contribute without hiding its limits.
That means shared evaluation, explicit provenance, capability-based tool access, and deployment choices shaped by the sensitivity of the task.
Our responsibility approach →