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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 QA built into the process

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 · synthetic data · not an executed evaluation

1.Input

Synthetic business document examples

  • 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
  • Synthetic example
  • Illustrative ground truth
  • Expert review planned

3.Ground truth

Illustrative expected answer

Total reconciled
CLP 18,420,500
Discrepancies identified
3

4.Verifier

Proposed deterministic checks

  • Correct matchesillustrative check
  • Correct discrepanciesillustrative check
  • Amounts within toleranceillustrative check
  • Business rules appliedillustrative check

PASS

What GroundTask produces

High-quality assets from real workflows.

  • Real-world workflows

    Designed to be sourced from licensed 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-expert review is part of the proposed QA process.

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

    Identify candidate business 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

    Package evaluation and training assets to agreed specifications.

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

    Our proposed workflow includes minimization and de-identification before structuring, subject to legal review.

  • 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

    Compliance requirements will be assessed by jurisdiction and contract, including Chilean data protection law 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

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