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We design and run rigorous evaluations, preference datasets, and red-team suites that lift win-rate, reliability, and safety. Multilingual by default, with auditable reports and secure handover.
Measured capability & safety improvements with human expertise.
Instruction following, groundedness, tool-use, and agent tasks with calibrated rubrics. We run controlled evals against baselines and report lift by slice.
Pairwise ranking and structured rationales from expert reviewers, tuned to your safety and product constraints.
Pick a focused 1–2 week pilot; scale after the review.
Task suites, rubric calibration, executable checks where possible.
Adversarial prompts, jailbreak detection, harm taxonomy scoring.
Pairwise ranking, span-level feedback, and rationales.
Multi-step tasks, tool correctness, and recovery behavior.
African languages & speech accents to improve generalization.
Leak-checked datasets, slice mining, and leaderboard prep.
Fast, reproducible, and decision-ready.
Goals, constraints, safety guidelines.
Tasks, rubrics, gold seeds, and slice hypotheses.
Reviewer training, agreement targets, dry-run on samples.
Compare your model vs baselines; capture edge cases.
Lift by slice, error taxonomy, safety incidents, datasheets.
Expand coverage, RLHF data, or continuous eval subscriptions.
We don’t assert quality — we show it.
IAA targets (Krippendorff / Cohen), adjudication rates, reviewer drift.
Seeded gold checks, leak testing, and replicable scoring scripts.
Slice-level metrics, error taxonomy, safety incident log, 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; verifiable attestations.
Decision-ready artifacts and datasets.
Practical answers for pilots and procurement.
We’ll sign an NDA, scope a 1–2 week pilot, and share a plan with metrics, costs, and timelines.
Africa headquarters in Lagos • hello@equatoria.ai
