DATAEVALUATIONAGENTS
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GARGANTUA / DATA · EVALUATION · AGENT SYSTEMS

Bending data.Building intelligence.

For AI labs and product teams: specialist data, real-task evaluation and agents in existing workflows.

Team experience

  • Google
  • YouTube
  • Lockheed Martin
  • academic ML research

Data → Evaluation → Agent systems

The model is one part of the system.

01Data

First-person video. Task-specific labels.

Source, capture and annotate around the target task.

Rights & provenance / Edge-case labels / QA review

Explore Data
02Evaluation

Rerunnable tests. Calibrated review.

Expose failures on the tasks models and agents must perform.

Task protocol / Scoring rubric / Regression cases

Explore Evaluation
03Agent systems

Scoped tools. Human hand-offs.

Build multi-step work into existing systems, with traceable actions.

Tool routing / Workflow state / Recovery paths

Explore agent systems

START WITH THE BOTTLENECK

Where is the system breaking?

Choose the gap. We’ll scope a first test around the real task.

01Data

The model has not seen the right examples.

Source, license and label data around the task it must learn.

02Evaluation

You cannot reproduce the failure.

Test real tasks, expose failure modes and make results rerunnable.

03Agent systems

The demo stops before the work is done.

Connect tools and workflow state, with permissions and human hand-offs.

START WITH ONE TASK

Bring us the task you can’t make work.

We’ll define one focused test, agree what it needs to prove and map the next step.