CoreWeave vs Toloka

CoreWeave — Infrastructure · Public · $48.5B mkt cap · 4 of 5 figures sourced  |  Toloka — Infrastructure · Private · 1 of 1 figure sourced

Relationship

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

Aligned comparison

FieldCoreWeaveToloka
Size$48.5B mkt capnot disclosed
Employees2,189—
Founded20172014 3 yrs earlier
StatusPublicPrivate
CategoryInfrastructureInfrastructure match
Stack layerAI agent, Infrastructure service, PlatformAI agent, Data service, Platform
HeadquartersRoseland, USAAmsterdam, Netherlands

Capability overlap

Shared · 3

Data analysisEvaluation and observabilityModel training

Not verified for Toloka · 3

Data securityGPU cloudModel inference

Recorded for CoreWeave. Toloka’s product records say nothing either way — a missing record is not a missing capability.

Not verified for CoreWeave · 8

Agent orchestrationCode generationData labellingGuardrails and safetyMarketing contentText generationTranslationWorkflow automation

Recorded for Toloka. CoreWeave’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

CoreWeave

AI agent

CoreWeave ARIAAI agent

AI research agent built into the Weights & Biases platform that analyzes experiment data and production traces, forms hypotheses, designs and runs experiments, and generates dashboards and reports.

Platform

Mission ControlPlatform

Operating layer for CoreWeave Cloud unifying security (IAM, compliance logging), fleet/node lifecycle automation with expert support, and observability (metrics, logs, telemetry), including an AI agent that answers questions about GPU performance and cluster health.

Toloka

AI agent

TendemAI 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.

Platform

Toloka ArenaPlatform

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.

Toloka TrainPlatform

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.

No counterpart

CoreWeave sells these in a stack layer with no product recorded for Toloka yet — nothing on the other side to compare them against.

Infrastructure service

CoreWeave AI CloudInfrastructure service

GPU cloud renting NVIDIA accelerators by the hour, with managed Kubernetes, storage and networking for training and inference.

CoreWeave SandboxesInfrastructure service

Managed sandbox compute environments for AI development, billed as an add-on that varies with the buyer's base Weights & Biases plan tier ($10/mo on Free, $25/mo on Pro).

Toloka sells these in a stack layer with no product recorded for CoreWeave yet — nothing on the other side to compare them against.

Data service

Off-the-shelf DatasetsData 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.

Toloka Physical AIData service

Human-in-the-loop data programs -- demonstrations, annotation and evaluation -- for training robotics and physical AI systems.

Toloka PlatformData service

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.