NUVO

The Nuvo operating model

Reliable data is engineered, not inspected into existence.

We connect program design, expert operations, quality systems, and model feedback from the beginning.

Operating loopNUVO / SIGNAL
  1. 01

    Discover

  2. 02

    Design

  3. 03

    Calibrate

  4. 04

    Operate

Controlled workflowFour connected stages

One connected system

Every stage reduces ambiguity before it becomes rework.

AI data operations specialists reviewing evaluation evidence and quality workflows
Connected operationsEvidence moves with the work
01

Discover

Align on the model behavior, real-world context, constraints, and success criteria.

02

Design

Translate objectives into task architecture, rubrics, workforce profiles, and quality controls.

03

Calibrate

Pilot with small controlled batches until people, instructions, and acceptance criteria agree.

04

Operate

Scale through visible quality gates, structured delivery, and rapid issue resolution.

Operating principles

Clarity at every handoff.

Requirements before throughput

We turn model goals into observable criteria, unambiguous instructions, and measurable acceptance thresholds.

Quality as a system

Calibration, gold tasks, review layers, adjudication, and root-cause analysis work together—not as isolated checks.

Controls matched to risk

Data access, workforce design, and delivery practices are configured around the sensitivity of each engagement.

Learn from every cycle

Delivery signals and model failures continuously improve task design, contributor guidance, and sampling strategy.