Trusted training data
We create domain-specific instruction-response pairs, complex reasoning tasks, policy and process scenarios, conversational data and gold-standard responses for supervised fine-tuning.
- SFT data
- Instruction-response pairs
- Domain reasoning
- Multilingual data
- Synthetic data validation
Human preference & feedback data
Qualified reviewers compare, score and correct model outputs using explicit rubrics for accuracy, completeness, safety, policy compliance, reasoning quality and tone.
- Pairwise preference ranking for RLHF and DPO
- Likert and multi-dimensional scoring
- Expert correction and ideal-response creation
- Adversarial prompts and red-team scenarios
Data curation & expert validation
Transform customer-provided documents, interactions, images or operational records into model-ready artifacts. We use AI-assisted generation where appropriate, then apply risk-based sampling and SME review.
AI data governance & provenance
Powered by AegisDatastra, each engagement can track source, ownership, consent or license, classification, permitted AI purpose, contributor identity and qualification, validation status, dataset version, model consumption and evaluation result.
Agent training environments
We create stateful scenarios that test what an agent should access, decide and do, including tool permissions, transaction thresholds, policy exceptions, approval requirements and prohibited actions.
A practical starting package
Trusted Dataset Pilot: select one domain and use case; define quality and governance requirements; create 500-2,000 representative examples; complete SME validation; deliver a dataset, data card, quality report and evidence package.
Scope the pilot