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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Toloka AI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Toloka AI. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Toloka AI for AI infrastructure include:

  1. Scancom International, a Denmark based Manufacturing organization with 4650 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Toloka AI Coverage

Toloka AI is a AI infrastructure solution from Toloka AI.

Companies worldwide use Toloka AI, from small firms to large enterprises across 21+ industries.

Organizations such as AliExpress, D-Market Elektronik Hizmetler ve Ticaret A.S. and Chatfuel are recorded users of Toloka AI for AI infrastructure.

Companies using Toloka AI are most concentrated in Retail and Professional Services, with adoption spanning over 21 industries.

Companies using Toloka AI are most concentrated in China, Turkey and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Toloka AI across Americas, EMEA, and APAC.

Companies using Toloka AI range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Toloka AI include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Toloka AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI infrastructure.