LEAFBYTE
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OUR SERVICES
LeafByte provides managed human intelligence services for AI development, evaluation, data preparation, and quality assurance. We assemble project-specific teams, establish clear workflows, and apply structured quality controls from pilot through scale.
LLM EVALUATION
BETTER MODELS REQUIRE BETTER HUMAN JUDGMENT.
LeafByte can support human evaluation workflows for large language models and generative AI systems, helping teams apply consistent human judgment to the model behaviors that matter most.
Response ranking and preference evaluation · Instruction-following evaluation · Factuality and accuracy review · Relevance and usefulness scoring · Safety and policy evaluation · Hallucination identification · Tone and style evaluation · Prompt and response review · Rubric-based scoring · Human feedback workflows
Evaluation programs can be configured around client-defined rubrics, model behavior requirements, domain expertise, and quality thresholds.
DATA ANNOTATION
STRUCTURED DATA FOR SYSTEMS THAT NEED TO LEARN.
LeafByte’s managed annotation and labeling workflows are designed around the requirements of each dataset, model objective, and quality process.
Text classification · Entity labeling · Document annotation · Image annotation · Audio annotation · Video annotation · Content categorization · Sentiment labeling · Search relevance evaluation · Dataset review and validation
Project requirements determine evaluator selection, annotation guidelines, training, review procedures, and QA.
AI QUALITY ASSURANCE
LeafByte can provide a structured QA layer across AI data and evaluation projects, with review processes designed to make quality visible and actionable throughout delivery.
PRODUCTION → REVIEW → QUALITY CHECK → FEEDBACK → IMPROVEMENT
Secondary review · Quality sampling · Evaluator calibration · Inter-annotator agreement monitoring · Error identification · Guideline clarification · Escalation workflows · Performance monitoring · Rework and correction · Continuous feedback
DOMAIN EXPERT EVALUATION
WHEN THE TASK REQUIRES MORE THAN GENERAL KNOWLEDGE.
Some AI systems require evaluation from people with relevant professional, technical, or academic backgrounds. LeafByte’s delivery model allows project-specific recruitment and qualification of specialists.
Healthcare
Technology & Coding
Finance & Accounting
Business & Operations
Engineering
Legal
Specialists can be recruited, screened, qualified, and assembled according to project requirements.
MULTILINGUAL & CULTURAL EVALUATION
AI NEEDS MORE THAN TRANSLATION. IT NEEDS CONTEXT.
AI systems operating across markets require human evaluation that understands language, regional usage, cultural context, and local knowledge. LeafByte can develop project-specific evaluation teams across African markets.
English · Nigerian English · Nigerian Pidgin · Igbo · Yoruba · Hausa · Regional & Cultural Context Evaluation
Language and market capabilities are developing and project-dependent; teams are built and validated according to client requirements.
MANAGED AI DATA TEAMS
FROM INDIVIDUAL TASKS TO MANAGED DELIVERY TEAMS.
Clients may need more than individual annotators or evaluators. LeafByte can build project-specific managed teams that may include evaluators, annotators, subject-matter specialists, team leads, quality reviewers, and project coordinators.
01 Define project requirements
02 Recruit and select talent
03 Screen and qualify
04 Train and calibrate
05 Launch production
06 Perform quality review
07 Monitor and improve
08 Scale based on performance
ENGAGEMENT MODEL
START SMALL. PROVE QUALITY. SCALE WITH CONFIDENCE.
01 — PILOT
Begin with a defined dataset, evaluation workflow, or specialized project.
02 — VALIDATE
Measure quality, workflow performance, evaluator consistency, and operational requirements.
03 — SCALE
Expand the team, throughput, or project scope once the workflow has been validated.
DISCUSS A PILOT
Tell us what you are building, the type of human expertise you need, and the scale of the project. LeafByte can help design a delivery approach around your requirements.
DISCUSS A PROJECT