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GroundTask

Real business activity for advanced AI systems

Real-world workflows. Verifiable AI tasks.

GroundTask transforms real business workflows from Chile/LatAm into expert-verified training and evaluation assets for frontier AI systems.

Contact usView sample task
  • Rights-cleared sourcing model
  • Anonymized and structured
  • Expert-verified and reproducible

The problem

AI can simulate business work. Real operations are messier.

Real business workflows include incomplete information, inconsistent documents, exceptions, manual decisions and edge cases — difficult to capture with fully synthetic data. Scenarios that are too clean teach models to succeed where real operations rarely look like that.

  • Incomplete data

  • Inconsistent documents

  • Exceptions and edge cases

  • Manual decisions

Example task

From real documents to a verifiable AI task.

Illustrative example · fictional, anonymized data

1.Input

Real business documents (anonymized)

  • Bank statement

    PDF · 12 pages

  • Invoice (DTE)

    XML · 1 file

  • Credit note

    PDF · 1 file

  • Payment

    CSV · 1 file

2.Task

Reconcile transactions for the month and identify discrepancies.

Task details

  • Use all provided documents
  • Match transactions
  • Identify and explain discrepancies
  • Apply Chilean accounting rules
  • Multi-document
  • Multi-step
  • Realistic
  • Deterministic ground truth
  • Expert-reviewed

3.Ground truth

Expert-verified answer

Total reconciled
CLP 18,420,500
Discrepancies identified
3

4.Verifier

Deterministic evaluation

  • Correct matchespassed
  • Correct discrepanciespassed
  • Amounts within tolerancepassed
  • Business rules appliedpassed

PASS

What GroundTask produces

High-quality assets from real workflows.

  • Real-world workflows

    Based on actual business records.

  • Verifiable tasks

    Realistic and challenging.

  • Ground truth

    Deterministic answers based on business rules.

  • Verifiers and rubrics

    Clear evaluation criteria for automated and human grading.

  • Expert QA

    Domain experts review for accuracy and quality.

Delivery format

Ready for your AI infrastructure.

deliverable / sample-taskillustrative
  1. 01

    Structured task data

    • tasks
    • documents
    • metadata
  2. 02

    Ground truth

    • verified answers
    • explanations
  3. 03

    Verifier specification

    • evaluation criteria
    • scoring logic
  4. 04

    QA metadata

    • review notes
    • quality flags
    • annotations
Formats and schemas are defined with each team to fit their training or evaluation pipeline.

How it works

A clear and auditable process.

  1. 1

    Source

    Obtain real workflows and records.

  2. 2

    Rights

    Secure the necessary rights for training and evaluation use.

  3. 3

    Anonymize

    Remove sensitive information and standardize data.

  4. 4

    Structure

    Convert workflows into tasks, ground truth and verifiers.

  5. 5

    Verify

    Domain experts validate tasks and solutions.

  6. 6

    Deliver

    Training and evaluation assets ready for your AI systems.

Trust & provenance

Provenance you can audit.

Our sourcing model is designed around working with companies and organizations in Chile/LatAm under clear legal agreements, with anonymization, security and quality processes applied before any asset is delivered.

  • Rights-cleared sourcing model

    Sourcing designed around agreements with data owners and clear terms of use.

  • Rights documentation

    Provenance documentation designed for every dataset and workflow.

  • Anonymization

    Personal and sensitive information is removed before any structuring.

  • Quality control & QA reporting

    Expert review with explicit rejection criteria. QA reporting designed for each delivery.

  • Secure data handling by design

    Processes designed for encrypted storage and least-privilege access to source material.

  • Regulatory alignment

    Processes designed around Chile's Ley 19.628, and preparing for Ley 21.719 (applicable from December 1, 2026) and Brazil's LGPD.

Built for evaluation and training workflows

Designed for teams building advanced AI systems.

  • RL Environments

    Realistic, verifiable business tasks.

  • Model Evals

    Deterministic and rubric-based evals.

  • Agent Training

    Tool use and multi-step workflows.

  • Post-training

    SFT and preference data.

  • Benchmarks

    Domain-specific evaluation sets.

From Chile / LatAm to global AI

Local business complexity.Global AI capability.

GroundTask is being built from Chile to provide high-quality, verifiable tasks and evaluation assets for companies developing advanced AI systems. We start where business operations are rich in documents, rules and exceptions: financial, accounting and administrative processes.

Initial workflow under study

Chilean Month-End Close

  • Bank statements
  • Reconciliation
  • DTE
  • Invoices
  • Credit notes
  • RCV
  • IVA / F29
  • Partial payments
  • Unidentified payments
  • Collections
  • Discrepancies
  • Related communications

Let's build more realistic AI together.

Get in touch to discuss use cases, data sourcing and how GroundTask can support your evaluation and training needs.

contact@groundtask.com

Opens your email app, addressed to contact@groundtask.com.