Accenture vs Toloka

Accenture — Application · Public · $111B mkt cap · 4 of 4 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

FieldAccentureToloka
Size$111B mkt capnot disclosed
Employees779,000—
Founded19892014 25 yrs later
StatusPublicPrivate
CategoryApplicationInfrastructure
Stack layerAgent platform, Application, PlatformAI agent, Data service, Platform
HeadquartersDublin, IrelandAmsterdam, Netherlands

Capability overlap

Shared · 4

Agent orchestrationCode generationData analysisWorkflow automation

Not verified for Toloka · 3

Agentic codingKnowledge retrievalThreat detection and response

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

Not verified for Accenture · 7

Data labellingEvaluation and observabilityGuardrails and safetyMarketing contentModel trainingText generationTranslation

Recorded for Toloka. Accenture’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

Accenture

Platform

AI RefineryPlatform

Accenture's platform for assembling and running industry AI agents as part of a client engagement.

GenWizardPlatform

Accenture's generative-AI platform for technology delivery, covering application and infrastructure management, reverse engineering and documentation of legacy code, migration and modernization, and data engineering.

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

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

Application

Accenture Marketing Investment NavigatorApplication

An AI-native marketing measurement platform from Accenture Song that combines marketing mix modelling, attribution and retail-media signals in one system, with scenario simulation, budget reallocation and a chat interface over the data.

Agent platform

Cyber.AIAgent platform

An agentic cybersecurity platform that connects to existing security tooling via 70+ prebuilt integrations and uses a reasoning engine, an environment ontology and an agent hub to detect, prioritise and act on threats.

Toloka sells these in a stack layer with no product recorded for Accenture 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.