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We build speech and text datasets, evaluation rubrics, and QA pipelines for service, sales, and risk ops—covering regional accents and languages. Measure containment, resolution, and compliance with evidence, not anecdotes.
Service, sales, trust & safety, and back-office workflows.
Call transcription datasets across accents; intent/entity schemas tuned to your queues and KPIs.
Rubrics for empathy, policy adherence, and resolution; automated checks plus SME review.
Begin with a 1–2 week pilot; expand after review.
Transcripts + labeled intents/entities; accent coverage and noise profiles.
Measure self-serve containment, escalation quality, and failure modes.
Invoices, IDs, proofs with field validation and anomaly flags.
Prompt suites for restricted content and policy edge-cases.
Customer chat datasets with translation QA for major African languages.
Curated exemplars and counter-examples for on-job guidance.
Fast, auditable, and secure.
Queues, KPIs, rights, residency, retention.
Schemas, rubrics, gold seeds, redlines.
Reviewer training and agreement targets.
Label/evaluate with live QC dashboards.
Datasheets, coverage, taxonomy, lineage.
Expand languages, add continuous evals.
We don’t assert quality — we show it.
IAA metrics, adjudication rates, drift monitoring by queue.
Seeded checks, replayable scoring, change logs.
Datasheets, coverage stats, error taxonomy, lineage attestations.
Privacy by design; enterprise posture by default.
Least-privilege roles, audit logs, in-region storage options.
Redaction options, scoped views, time-boxed retention.
NDA, DPAs, ethical labor terms; verifiable attestations.
Evidence-ready artifacts and datasets.
Practical answers for pilots and procurement.
We’ll align on queues, metrics, and privacy, then ship a benchmarkable pilot in 1–2 weeks.
Africa headquarters in Lagos • hello@equatoria.ai
