Human in the Loop AI Operations
We run managed annotation, validation, and human in the loop operations for AI/ML teams shipping production systems from Nairobi, at enterprise standards.
Trusted by AI teams building production systems
What we do
Most data partners hand you a dashboard and a pool of strangers. We give you a trained, managed, dedicated operation that behaves like an extension of your own engineering org supervised, measured, and accountable to your pipeline.
Every engagement is staffed with a named team, a delivery lead, and SLAs you sign off on. No anonymous queues, no race-to-the-bottom labelers.
Multi-tier review, inter-annotator agreement scoring, and accuracy guarantees built into every statement of work not an upsell.
ISO 27001 certified, access-controlled environments, NDAs standard. Built for teams handling sensitive training data.
Services
We cover the full human in the loop stack from raw data annotation through RLHF feedback loops under a single managed operation.
Image, video, LiDAR, text, and audio labeled at production scale with schema fidelity.
Multi-tier review, IAA scoring, and written accuracy guarantees on every delivery batch.
Content moderation, exception handling, and RLHF feedback loops inside your pipeline.
Structured data operations extraction, enrichment, normalization feeding AI pipelines.
Dedicated named teams as an extension of your AI org staffed, trained, and delivery-led by us.
Not sure which fits?
How it works
Four phases from first conversation to sustained production output. Every engagement has a named delivery lead from day one.
Schema review, pilot design, acceptance criteria, and security alignment drafted with your data lead.
~1 weekDedicated team selected, trained on your schema, and calibrated against gold-standard sets before any production data is touched.
2–3 weeksDaily throughput with multi-tier QA, IAA reporting, and a named delivery lead in your Slack or Linear.
OngoingExpand headcount, add workflows, or fork specialized subteams without renegotiating the operating model.
On demandProof
01°17′S · 36°49′E
Nairobi, by design
We built in Nairobi because it's where the best AI operations work gets done and not because it's cheap. Time zone fit, talent depth, and language coverage you can't get elsewhere.
A full Nairobi working day overlaps your morning in London and your afternoon in New York.
Sourced from the University of Nairobi, Strathmore, and JKUAT pipelines. Technical literacy is table stakes.
Swahili, Amharic, Somali, Yoruba, Hausa, Arabic, French — African and Middle Eastern languages at scale.
Fiber-connected CBD offices, redundant power, and a stable digital stack built for production pipelines.
Ethical AI supply chain
Security posture
NDAs standard. Encrypted data handling. Access-controlled delivery environments. Annually audited against ISO/IEC 27001, the same standard your enterprise procurement team is already mapping to.
Next step
Two ways. In a 30-minute discovery call, or a capabilities deck you can forward to your team.