Tinkogroup

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Overview

$1,000+

Min Project Size

< $25/hr

Avg Hourly Rate

50 - 249

Employees

2016

Year Founded

ABOUT TINKOGROUP

Reliable data annotation and data entry partner 🚀

👩‍💻📈⏰ Tinkogroup serves as an AI data enablement partner, offering expert services in annotation, labeling, and validation that enhance the reliability of machine learning models and intelligent systems—all while ensuring full GDPR compliance for secure collaboration. Our skilled team expertly navigates a wide range of information, excelling in searching, verifying, and analyzing data. We emphasize detail to guarantee that our output meets your expectations. We take pride in our perfectionism, and we only make commitments we can keep. Our key services include: 🔑 Data Entry, Data Processing, Data Management; 🌐 Internet Research; 📧 Email List Building; 📩 Lead Generation; 🏷️ Data Annotation and Labeling (utilizing Labelbox and other tools); 📊 Data Categorization and Tagging; 📈 Data Analysis; 📇 CRMs and Shopify Data Entry. Key statistics: • Over 9 years in Data Processing and Internet Research • 80,000+ emails collected • 800,000+ items annotated and classified • 300,000+ pages converted and processed • 250+ satisfied clients • average customer lifetime of 3.2 years. 💥 Reasons clients choose us: - meticulous attention to project requirements; - exceptional value for money; - consistent results during long-term partnerships. Partner with Tinkogroup today to realize your business's full potential. Allow us to manage your data and administrative tasks so you can concentrate on what truly matters—growing your company's success.

Languages Spoken

EnglishUkrainian

HIGHLIGHTS

$1,000+

Min Project Size

< $25/hr

Avg Hourly Rate

50 - 249

Employees

2016

Year Founded

Services

Focus

Industries

Clients

Services Provided

50% Data Annotation Services

50% Outbound Lead Generation

About the Team

OUR STORY

Our Narrative TinkoGroup is inspired by a distinct goal: to provide businesses around the globe with accessible and dependable high-quality data. Our mission is to enable companies to expand their AI and data-intensive operations through precise, ethical, and efficient data annotation and processing. We prioritize accuracy, responsibility, enduring partnerships, and a people-centric approach—because exceptional data is created by reliable teams rather than through shortcuts.

TEAM PHOTOS

Portfolio

Database Implementation

Unknown

**Project Summary** This project aimed to develop a thorough database that includes a wide array of companies, ranging from major corporations to new startups in the United States. The main objective was to gather key information such as company names, websites, logos, and other relevant data like industry classification and business model types. Moreover, the project sought to compile detailed profiles on executives, prioritizing careful information management. **Business Challenge** The project's business challenge was to create a well-structured and comprehensive database encompassing a diverse mix of companies. It involved gathering information on executives within these organizations to support improved decision-making. The goal was to enhance the depiction of executive profiles by adding updates that detail their work history, experience levels, biographies, and skill sets. **Solutions Provided** The project successfully produced a thorough database with essential company details. The emphasis on careful organization extended to the collection of detailed notes on executives, forming a well-structured repository. The updates made to executive profiles enriched the dataset with significant information, leading to a more precise and comprehensive representation. **Key Outcomes**

Data Annotation Services

Unknown

**Project Overview** This project aimed to improve the precision and efficiency of identifying and classifying entities in textual data, focusing on names, organizations, and locations. It also included the development of a sentiment analysis annotation system and structured visual data through comprehensive descriptions and labels for image components. **Business Problem** The main challenge addressed by the project was the necessity for greater accuracy and efficiency in the identification and classification of entities in text data. Additionally, there was a demand for implementing sentiment analysis to assess the sentiment conveyed in texts (whether positive, negative, or neutral). The project also sought to enhance the organization of visual data through detailed descriptions and labels associated with image elements. **Solutions Delivered to the Client** The project provided solutions that significantly enhanced the accuracy and efficiency of entity identification and classification in text data. The successful implementation of a sentiment analysis annotation system allowed for precise labeling of sentiment. Furthermore, the project effectively organized visual data by offering detailed descriptions and labels for image components. **Key Results**

Database Maintenance and Updates

Unknown

**Project Overview** The objective of the project was to improve the client database by offering precise and thorough information about companies and their affiliations. The goals included creating and maintaining detailed profiles for each company, ensuring the accuracy and timeliness of data, identifying and incorporating partnerships between companies, and correcting common issues like duplicates and formatting errors. The main aim was to enrich the database with trustworthy partnership details, facilitating easy access to and visualization of company connections within the business landscape. **Business Problem** The organization struggled with keeping an accurate and comprehensive database of company profiles and their partnerships. The main issue was developing a trustworthy resource that accurately mirrored the intricate network of company relationships in the business sector. **Solutions Delivered to the Client** The project resulted in hundreds of updated detailed company profiles, with a focus on ensuring information accuracy and relevance. Partnerships were identified and added, errors were corrected, and duplicate entries were eliminated. This dedication to careful data management and error avoidance transformed the client’s database into a reliable repository of extensive partnership information, thereby improving the accessibility and visualization of company networks. **Key Results**

21 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$1,000+

Average Hourly Rate

< $25/hr

Pricing Snapshot

Min Project Size

$1,000+

Avg Hourly Rate

< $25/hr

Cost Rating

N/A

What Clients Have Said

"Tinkogroup delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet — reviewers either haven't shared a project budget or kept theirs confidential.

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Data Annotation Services

Outbound Lead Generation

Industry Recognitions

Verified ClickUp Power User

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Upwork Top Rated Plus

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Locations

Headquarters

6 Khalturina str

Poltava, Ukraine 36000

+380950954691

Headquarters

61 Pory 02-757

+380950954691

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