Data that sets the horizon

Euman AI data engine

Consent-based sourcing, expert labeling, rigorous LLM evaluations, and secure handover — delivered with measurable quality and full provenance.

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Equatoria Data Engine — consent → curate → label → evaluate → deliver

What our Data Engine does

A managed pipeline to improve model capability and safety with consent-based human intelligence.

End-to-end, but modular

Use the whole pipeline or pick a module: sourcing, curation, labeling, evaluations, or handover. Everything is documented and auditable.

Africa-native coverage

Deep multilingual expertise and accents (Yorùbá, Hausa, Igbo, Swahili, Amharic, isiZulu, and more) to reduce bias and improve robustness.

How it works

Consent → Curate → Label → Evaluate → Deliver

Step 1

Consent-based sourcing

Programs & licensed partners with clear rights and compensation.

Step 2

Curation

Slice finding, de-dup, coverage analysis, and active-learning loops.

Step 3

Labeling

Expert tasks + calibrated rubrics, two-pass review or consensus.

Step 4

Evaluations

LLM evals (instruction-following, safety, red-team) with SME review.

Step 5

Secure handover

Encrypted delivery + datasheets, QC report, lineage attestations.

Modules you can start with today

Pick a lane for your first 1–2 week pilot.

RLHF / Preference Data

Pairwise ranking, span-level feedback, structured rationales.

Red Teaming & Safety

Adversarial prompts, jailbreak detection, harm taxonomy scoring.

Instruction Following

Task design, rubric calibration, executable checks where possible.

Multilingual NLP

NER, classification, sentiment, translation QA; long-tail coverage.

Speech & Accents

Transcription, diarization, accent expansion for ASR robustness.

Vision & OCR

Forms, documents, boxes/polygons; document-intelligence sets.

Quality & evidence

We don’t assert quality — we show it.

Calibration & gold tests

Annotator screening, pilot calibration, seeded gold & blind checks.

Agreement & drift

IAA metrics, adjudication rates, slice-level drift monitoring.

Transparent reports

Datasheets, QC summaries, error taxonomy, lineage & coverage stats.

Security & compliance

Privacy by design; enterprise posture by default.

Access control

Least-privilege roles, audit logs, region-aware storage.

Data minimization

PII minimization, redaction options, time-boxed retention.

Contracts & DPAs

NDA, DPAs, ethical sourcing terms; verifiable attestations.

Metrics we report by default

So you can compare pilots apples-to-apples.

IAA (Krippendorff / Cohen where applicable)
Gold accuracy and adjudication rates
Throughput, TAT, and reviewer utilization
Error taxonomy and critical defect rate

Coverage (language, domain, slices)
Bias/representation notes & mitigations
Security review checklist & sign-offs
Lineage & datasheet links

FAQs

Practical answers for pilots and procurement.

Can you work with our data in-region?

Yes. We support region-aware storage and VPC/VPN access. We minimize PII and can redact at source.

Do you only source data, or can you use ours?

Both. We can run consent-based collection or label/evaluate your provided datasets with strict access controls.

What’s the fastest way to start?

A 1–2 week pilot focused on one module (e.g., instruction following or red-team) with crystal-clear metrics.

How do you measure quality?

Calibrated rubrics, seeded gold, inter-annotator agreement, adjudication, and transparent QC reports.

Ready to run a pilot?

We’ll sign an NDA, scope a focused module, and share a plan with timelines, costs, and success metrics.

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Africa headquarters in Lagos • hello@equatoria.ai

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