AI data and evaluation

Use software engineers for coding-focused AI data and model evaluation.

Eskalate can assemble technical reviewers who understand code, product behavior, edge cases, and quality so AI workflows get more useful signal than generic labeling.

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What you get

Coding-aware data annotation and review

Software engineering task evaluation and rubric design

Developer feedback loops for model-improvement workflows

Relevant work

Product examples that match this service.

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AfroChat

AI chat

Model selection, language-aware chat behavior, and real user interaction patterns.

SkillBridge

AI learning

AI tutoring and exam workflows where quality, explanations, and student outcomes matter.

Engram

agent memory

AI coding-agent memory workflows that need technical evaluation and developer-grade context.

Proof

Products like this are already in the ecosystem.

AfroChat, SkillBridge, Engram, and the Eskalate talent pipeline show our focus on AI-native software work and technical evaluation.

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Code review data

Prompt and response evaluation

Model behavior QA

Technical annotation workflows

Scope the outcome

We turn the business need into a clear product, role, timeline, and delivery plan.

Build the right pod

We assemble the engineers, designers, AI reviewers, or delivery leads needed for the work.

Ship through checkpoints

You see progress through milestones, QA, release support, and a concrete next step.