Protocol Agents
Agents that turn scientific goals into auditable workflow plans with clear assumptions, checkpoints, and approval gates.
Autonomous laboratory intelligence
Autonomous lab systems for chemistry and biomedicine.
AgInTi builds high-control AI infrastructure for scientific teams: agents that reason over protocols, operate digital tools, preserve experimental context, and keep humans in command.
Lab operating layer
From scientific intent to repeatable autonomous execution.
We design agent systems for protocol planning, literature and data operations, instrument-adjacent workflows, and high-trust review loops across chemistry, biology, and biomedicine.
Open product
AgInTiFlow
AgInTiFlow is the first public layer of our agent stack: browser automation, persistent chat, resumable runs, provider selection, and guarded local tools.
View AgInTiFlow on GitHubResearch Operations
Tool-using systems for literature review, data handling, documentation, and repeatable scientific operations.
Lab Interfaces
Refined web interfaces with model selection, persisted settings, run history, session memory, and operator visibility.
Control principle
Autonomy must be inspectable before it is trusted.
- Explicit permission boundaries before sensitive tool or lab-adjacent actions.
- Readable logs, snapshots, resumable sessions, and durable experimental context.
- Model-provider flexibility for teams that need speed, privacy, cost control, or frontier reasoning.