4Paradigm vs Toloka

4Paradigm — Application · Public · $2B mkt cap · 2 of 2 figures sourced  |  Toloka — Infrastructure · Private · 1 of 1 figure sourced

Relationship

4Paradigm Sage HyperCycle and Toloka Train do comparable work on model training; 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 7 capabilitiesShared product type

3 of 7 capabilities — Shares model training, text generation and workflow automation.

Ludbee capability tags · from the product records

Shared product type — Both ship platform.

Ludbee product records

Aligned comparison

Field4ParadigmToloka
Size$2B mkt capnot disclosed
Employees——
Founded20142014 match
StatusPublicPrivate
CategoryApplicationInfrastructure
Stack layerApplication, Hardware, PlatformAI agent, Data service, Platform
HeadquartersBeijing, ChinaAmsterdam, Netherlands

Capability overlap

Shared · 3

Model trainingText generationWorkflow automation

Not verified for Toloka · 4

Document extractionModel inferenceKnowledge retrievalServer systems

Recorded for 4Paradigm. Toloka’s product records say nothing either way — a missing record is not a missing capability.

Not verified for 4Paradigm · 8

Agent orchestrationCode generationData analysisData labellingEvaluation and observabilityGuardrails and safetyMarketing contentTranslation

Recorded for Toloka. 4Paradigm’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

4Paradigm

Platform

4Paradigm Sage AIOSPlatform

Operating layer that runs and manages an enterprise's AI applications across its own hardware.

4Paradigm Sage HyperCyclePlatform

An AutoML platform (ML/CV/OCR components) that lets non-experts build AI applications, used by major banks and insurers including ICBC and China UnionPay.

Toloka

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

4Paradigm sells these in a stack layer with no product recorded for Toloka yet — nothing on the other side to compare them against.

Application

4Paradigm SageGPTApplication

Enterprise assistant that answers from company data and triggers actions in connected systems.

Hardware

4Paradigm SageOneHardware

Integrated compute appliance sold for running 4Paradigm's software on premises.

Toloka sells these in a stack layer with no product recorded for 4Paradigm yet — nothing on the other side to compare them against.

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.

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.