Vetto Core

How We Work Como Trabalhamos

From research intent to production-grade data systems. Da intenção de pesquisa a sistemas de dados de nível de produção.

The Process O Processo

Five steps from intent to impact Cinco passos da intenção ao impacto

Every engagement follows a research-driven loop that produces high-signal data, not just labeled examples. Cada engajamento segue um loop orientado por pesquisa que produz dados de alto sinal, não apenas exemplos rotulados.

01

Research Intent

Understand the capability gap. Define what the model needs to learn and why.

Deep-dive into the research question
Map model failure modes and knowledge gaps
Align on learning objectives with the research team
Scope the data strategy end-to-end
02

Task Design

Translate intent into tasks, rubrics, failure modes, and reward hooks.

Design task schemas aligned with learning goals
Build rubrics that capture nuanced quality signals
Define failure taxonomies and edge cases
Create reward hooks for preference and evaluation data
03

Expert Network

Match the right experts, tools, and QA loops for the job.

Source vetted domain experts (PhDs, practitioners, specialists)
Configure annotation platforms and tooling
Establish multi-layer QA and review processes
Run calibration rounds to ensure alignment
04

Data Production

Generate high-quality, structured, auditable datasets at scale.

Execute production with real-time quality monitoring
Maintain full data provenance and audit trails
Deliver structured, machine-readable outputs
Support SFT, preference, evaluation, and safety data types
05

Iteration

Analyze results, refine tasks, and improve signal continuously.

Review model behavior after training on produced data
Identify signal gaps and refine task designs
Run fast iteration cycles with the research team
Evolve data systems as model capabilities change

Capabilities Capacidades

Coverage across domains and task types Cobertura em domínios e tipos de tarefas

STEM

  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Engineering

Finance

  • Quantitative analysis
  • Risk modeling
  • Regulatory
  • Market research

Health

  • Clinical reasoning
  • Medical literature
  • Drug discovery
  • Diagnostics

Coding

  • Private repo workflows
  • Code review
  • Debugging
  • Architecture

Reasoning

  • Multi-step logic
  • Chain-of-thought
  • Agentic tasks
  • Planning

Evaluations

  • Red-teaming
  • Benchmarking
  • Safety testing
  • Capability tracking

Bring us your research problem Traga seu problema de pesquisa

We'll design the data system that solves it. Vamos projetar o sistema de dados que o resolve.

Talk to us Fale conosco