XUmmia
Scope a project
Building systems for AGI, AIGRC & enterprise AI

The Human Layer
Powering Enterprise AI

XUmmia provides the human compute layer behind modern AI systems: RLHF, model evaluation, AI governance, and safety controls. Engineered for organizations building serious AI.

Scope your projectView capability statement
• Verified · 99.4% IoU
Computer vision dataset preview with labeled bounding boxes around a pedestrian, tree, car and street sign in an African city street scene

Trusted experience from working with global AI pipelines

5000+
Vetted domain experts
99.4%
Golden-set label accuracy
40+
African languages & dialects
< 24h
Median project spin-up

Trusted by teams building at the frontier

Databricks
Microsoft
Google Cloud
AWS
Nvidia
Hugging Face
Anthropic
OpenAI
Meta AI
Cohere
Scale AI
Stability AI

What we do

One platform to Hire, Built AI and upskill

Access AI engineers, production delivery, and workforce training in a single platform designed for enterprise AI transformation.

AGI system designAI engineeringRLHF & model evaluationAI product managementAIGRC & AI safetyEnterprise AI infrastructureHuman-in-the-Loop (HITL)Red teaming & adversarial testingMultilingual & dialectal dataAI policy & audit readiness
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AI System Development

Train models and build production AI systems

  • Data Readiness for AI: ingestion, annotation, governance
  • AI Model Alignment: fine-tuning, RLHF, model optimization
  • Enterprise AI Retrieval: RAG, AI knowledge governance
  • AI in Production: agentic AI & AI deployment systems
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AI-native talent profile with skill match ratings, prompt engineering and agent orchestration scores, and hiring badges

How we work

From kickoff to production dataset in weeks - not quarters.

A single project lead, transparent quality metrics, and no ambiguity about what you're paying for. Every pipeline ships with a signed provenance report you can hand to your compliance team.

Start a scoping call
  1. 01

    Scope

    Share your objective. Our solutions team returns a project spec, cost model and expert roster within 48 hours.

  2. 02

    Calibrate

    We ship guidelines, golden items and a pilot batch. You review, refine, and lock the rubric before scale.

  3. 03

    Scale

    Vetted experts run the pipeline with double-blind review and real-time quality telemetry surfaced in your dashboard.

  4. 04

    Deliver

    Structured JSONL, Parquet or direct SDK delivery - with signed audit trail, IoU / kappa metrics and revision windows.

A XUmmia expert annotator working on an LLM evaluation task

Expert • Lagos, NG

Emeka Nwosu

LLM evaluation & NLP · 4.94 rating

The talent network

Frontier AI needs frontier expertise.

We recruit from the top 5% of specialized talent across the continent - engineers, linguists, physicians, lawyers, and researchers who bring lived context that Western-only datasets have never had.

  • 5000+ vetted experts

    Multi-stage assessment across domain knowledge, English fluency, and calibration to our rubrics.

  • 40+ languages & dialects

    Native evaluators across Swahili, Yoruba, Amharic, Hausa, Zulu, Wolof and dozens more.

  • Living-wage guarantee

    Above-market pay in every country we operate in - because quality data needs a stable workforce.

  • SOC 2 & ISO 27001 aligned

    Access controls, audit trails and data residency options for regulated customers.

Explore the talent program

Training as a Service (TAAS)

Upskill your engineering workforce for AI

  • LLM Engineering: enterprise RAG architectures, intelligent automation, and model fine-tuning
  • Agentic AI Systems: autonomous architectures, multi-step reasoning, and workflow orchestration
  • AI in Production: LLMOps, observability engineering, and model CI/CD
  • AI Strategy & Leadership: strategic alignment, governance & compliance, and enterprise adoption
Learn more

XUmmia Studio

The workspace your annotators actually enjoy.

Task workspace, guidelines browser, quality dashboard and payments - all in one instrument. Purpose-built for the multi-turn, multi-rubric world of modern LLM data.

studio.xummia.ai — project: MedQA-Swahili-RLHFTask 4,281 / 12,000

Prompt · Swahili

“Mgonjwa mwenye umri wa miaka 62 anaonyesha dalili za shinikizo la damu la 180/110. Ni hatua gani ya kwanza ya matibabu?”

Response Apreferred

Anza matibabu ya haraka na dawa za kupunguza shinikizo la damu kama vile labetalol IV, ukifuatilia kwa karibu…

Response B

Mpe mgonjwa maji mengi na umshauri apumzike nyumbani. Rudi baada ya wiki moja kwa uchunguzi zaidi.

Second computer-vision dataset preview: an African urban market annotated with bounding boxes

CV Dataset · Case study

Urban markets, six cities, 240k boxes.

A frontier vision lab needed street-scene detection for markets across West and East Africa. XUmmia shipped a 240,000-box, 98.6% IoU dataset in 6 weeks - a category the customer had been trying to source for a year.

Join AI Talent Network

Get paid to shape the next generation of AI.

Apply to join our vetted network of African engineers, linguists, physicians, lawyers and researchers. Work on frontier projects in RLHF, LLM evaluation, computer vision and AI safety.

  • Above-market pay in every country
  • Weekly payouts with no thresholds
  • Remote-first with flexible hours
  • Projects matched to your expertise
Join the AI Talent NetworkView open opportunities
A XUmmia expert annotator working on an LLM evaluation task

Expert • Nairobi, KE

Amina Ochieng

Linguistics & Swahili NLP · 4.96 rating

Build the model. We'll build the data and the Human layer.

Tell us the objective and the timeline. In 48 hours you'll have a scoping doc, a cost model, and an expert roster ready to go.

Tell us about your projectJoin the talent network