First-person video. Task-specific labels.
Source, capture and annotate around the target task.
Rights & provenance / Edge-case labels / QA review
Explore Data
GARGANTUA / DATA · EVALUATION · AGENT SYSTEMS
For AI labs and product teams: specialist data, real-task evaluation and agents in existing workflows.
Team experience
Data → Evaluation → Agent systems
Source, capture and annotate around the target task.
Rights & provenance / Edge-case labels / QA review
Explore DataFailure → regression case
Expose failures on the tasks models and agents must perform.
Task protocol / Scoring rubric / Regression cases
Explore Evaluationcontract.read + usage.readLOADEDrenewal_draft · draft_41SAVEDcontract.sendHELDBuild multi-step work into existing systems, with traceable actions.
Tool routing / Workflow state / Recovery paths
Explore agent systemsSELECTED WORK
Selected, anonymised client work.
A data gap, model failure or unfinished workflow?
Scope a first testSTART WITH THE BOTTLENECK
Choose the gap. We’ll scope a first test around the real task.
Source, license and label data around the task it must learn.
Test real tasks, expose failure modes and make results rerunnable.
Connect tools and workflow state, with permissions and human hand-offs.
PEOPLE
START WITH ONE TASK
We’ll define one focused test, agree what it needs to prove and map the next step.