List of Toloka AI Customers
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Since 2010, our global team of researchers has been studying Toloka AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Toloka AI for AI infrastructure from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Toloka AI for AI infrastructure include: AliExpress, a China based Retail organisation with 204891 employees and revenues of $137.30 billion, D-Market Elektronik Hizmetler ve Ticaret A.S., a Turkey based Retail organisation with 4500 employees and revenues of $567.4 million, Chatfuel, a United States based Professional Services organisation with 59 employees and revenues of $7.0 million and many others.
Contact us if you need a completed and verified list of companies using Toloka AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Toloka AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AliExpress | Retail | 204891 | $137.3B | China | Toloka AI | Toloka AI | AI infrastructure | 2022 | n/a |
In 2022, AliExpress implemented Toloka AI as an AI infrastructure solution to establish a localized product moderation pipeline for its CIS operations. The engagement began in June 2022 and targeted e-commerce product moderation across CIS countries, focusing on localized labeling and moderation workflows.
Toloka AI provided human in the loop product moderation and labeling services, configuring workflows for content triage, multilingual annotation, and verification to align with regional marketplace policies. The deployment was architected as a centralized labeling pipeline serving AliExpress CIS, with continuous quality control processes and scalable throughput orchestration.
The engagement scaled moderation throughput approximately 500x, halved verification cost, and achieved 98.7% label quality for e-commerce product moderation in the region. Operational scope covered AliExpress CIS teams and regional moderation sites, with governance structured around Toloka AI verification workflows and ongoing quality monitoring initiated in June 2022.
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Chatfuel | Professional Services | 59 | $7M | United States | Toloka AI | Toloka AI | AI infrastructure | 2023 | n/a |
In 2023, Chatfuel implemented Toloka AI as an AI infrastructure engagement to perform Deep Evaluation on its chatbot pipeline for customer support scenarios. The initial work concentrated on measuring Helpfulness, Truthfulness, and Tone through structured human benchmarking, establishing evaluative baselines for conversational quality.
Toloka AI delivered its Deep Evaluation service combining human evaluation and RLHF style benchmarking modules to generate labeled judgments across the three quality axes. Module usage included curated annotation tasks, multi-rater adjudication workflows, and rubric-driven scoring that produced standardized quality metrics for downstream model assessment.
The implementation interfaced with Chatfuel’s chatbot pipeline and existing quality workflows, routing sampled conversational episodes to Toloka AI’s evaluators and returning scored annotations to Chatfuel teams. Operational coverage targeted customer support use cases and informed both quality assurance and model development functions within Chatfuel.
Governance centered on using the actionable quality metrics from Toloka AI to guide future model improvements and to increase confidence in chatbot performance, with benchmark outputs intended to feed model evaluation gates and prioritization of remediation work. The engagement positioned Chatfuel to use Toloka AI outputs as a recurring human benchmarking layer within its AI infrastructure for ongoing model validation.
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D-Market Elektronik Hizmetler ve Ticaret A.S. | Retail | 4500 | $567M | Turkey | Toloka AI | Toloka AI | AI infrastructure | 2023 | n/a |
In 2023, D-Market Elektronik Hizmetler ve Ticaret A.S. implemented Toloka AI to improve search relevance on its Hepsiburada marketplace, using Toloka AI as an AI infrastructure component for labeling and evaluation workflows. The engagement targeted marketplace search relevance and the search-to-conversion funnel across the Türkiye platform, aligning the Toloka AI deployment with e-commerce search and merchandising functions.
The implementation configured crowdsourced labeling pipelines as the primary functional capability, including task design for relevance judgments, label quality controls, and aggregated judgment outputs used to train and validate ranking models. Toloka AI was used to generate human-labeled relevance datasets, and the workflow included dataset versioning and evaluation artifacts to support iterative model tuning and offline relevance testing.
Operationally the solution integrated Toloka AI crowdsourced outputs with Azure-based tooling to host evaluation and model training workloads, creating a data flow from human labels into Azure-hosted evaluation pipelines. The deployment focused on search evaluation instrumentation and model feedback loops applied across the Turkish marketplace, enabling the search engineering and data science teams to consume labeled data for ranking experiments and A B test preparation.
Governance and rollout were executed as a joint solution between Toloka and the customer, operationalizing continuous labeling and quality gates to feed ongoing relevance improvements. The joint implementation increased measured search quality relevance by 9 percent and improved search-to-conversion metrics across the platform in Türkiye, reflecting explicit measured outcomes reported from the engagement.
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Buyer Intent: Companies Evaluating Toloka AI
- Scancom International, a Denmark based Manufacturing organization with 4650 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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