Scale AI vs Toloka
Relationship
Scale Data Engine and Off-the-shelf Datasets do comparable work on data labelling; both also serve buyers who need to train or fine-tune a model; Toloka's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 4 capabilities — Shares data analysis, data labelling and evaluation and observability.
Ludbee capability tags · from the product recordsShared product type — Both ship data service and platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Toloka · 1
Recorded for Scale AI. Toloka’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Scale AI · 8
Recorded for Toloka. Scale AI’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Scale AI
Platform
AI platform for defence and intelligence users, for searching, summarising and reasoning over operational data.
Platform for building and evaluating enterprise generative-AI applications against a customer's own data.
Data service
Data labelling and curation service producing training and evaluation sets for AI models.
Toloka
Platform
An independent evaluation platform that ranks frontier LLMs on agentic tool-use tasks using private, non-contaminated benchmarks across industry domains, scored on a pass^5 reliability metric, with the underlying RL Gyms and evaluation datasets available to license.
A self-serve service that lowers per-request inference cost through two tools - fine-tuning LoRA adapters on frozen Qwen3 base models to replace a frontier API on a narrow task, and prompt gisting that compresses long instruction prefixes into learned tokens.
Data service
Toloka's catalogue of ready-made training datasets sold outright — three named at the time of writing (Tau-bench Dataset Extension, University-level Math Reasoning, Multimodal Conversations) — as distinct from the custom data work its Platform sells.
Human-in-the-loop data programs -- demonstrations, annotation and evaluation -- for training robotics and physical AI systems.
A self-serve platform where an AI agent turns a described data goal into a full human-annotation pipeline - RLHF and preference data, data collection, instruction tuning, model evaluation, synthetic-data validation and content-moderation QA - with LLM-based quality checks on the output.
No counterpart
Toloka sells these in a stack layer with no product recorded for Scale AI yet — nothing on the other side to compare them against.
AI agent
A hybrid AI-plus-human agent that takes a delegated task - research, data analysis, copywriting, design or development - has AI do the first pass, then routes it to one of 10,000+ vetted experts for verification and multi-layer QA, returning results in 2-24 hours.