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We build product and customer datasets, OCR flows for receipts and invoices, and evaluation suites for search/recommendations. Multilingual support corpora help reduce handle time while keeping policy and trust intact.
Catalog quality, CX, and trust & safety.
Attribute extraction, normalization, variant linkage, and image/text QA for consistent, shoppable catalogs.
Human-in-the-loop relevance, diversity, and safety checks for search and feed ranking.
Begin with a 1–2 week pilot; expand after review.
Titles, specs, categories; variant mapping and deduplication.
Receipts, invoices, manifests—field validation and anomaly flags.
Query–result judgments and offline metrics with gold checks.
Support chat/voice datasets with policy-adherent responses.
Counterfeit, abuse, and returns edge-cases for classifier/eval.
Product image checks: quality, compliance, and safety filters.
Fast, auditable, and secure.
Goals, data rights, residency, retention.
Schemas, rubrics, gold seeds, policy boundaries.
Reviewer training and agreement targets.
Label/evaluate with live QC dashboards.
Datasheets, coverage, taxonomy, lineage.
Expand coverage or move to continuous evals.
We don’t assert quality — we show it.
IAA, adjudication rates, slice-level drift by category.
Seeded checks, replayable scoring, change logs.
Datasheets, coverage stats, error taxonomy, lineage.
Privacy by design; enterprise posture by default.
Least-privilege roles, audit logs, region-aware storage.
PII minimization, redaction options, time-boxed retention.
NDA, DPAs, ethical sourcing terms; attestations.
Evidence-ready artifacts and datasets.
Practical answers for pilots and procurement.
We’ll align on categories, KPIs, and privacy, then ship a benchmarkable pilot in 1–2 weeks.
Africa headquarters in Lagos • hello@equatoria.ai
