Mindy Support scorecard

Company Overview

Mindy Support is a BPO company, founded in 2013, with approximately 1-49 employees. They specialize in Technical Support, Customer Support, Data Annotation. They serve the E-commerce & Retail industries.

The industries that it serves range from automotive, retail, and e-commerce to healthcare, agriculture, and telecommunications. The organization has employed more than 2,000 workers and has approximately $5 million in total revenue. Since then, this organization has been providing outsourcing solutions for multiple Fortune 500 businesses as well as other small-to-medium-sized businesses. This approach supports reliable delivery through structured processes and technical expertise.

Executive summary

Brand Profile: Voice: Professional. Voice: B2B-oriented. Voice: Global. Voice: AI-focused. Tagline: Generative AI, Customer Service & Data Annotation. Imagery Style: Not verified from available public assets. Client Value Proposition: Summary: Mindy Support’s public value proposition centers on helping clients scale operations with multilingual, cost-effective, AI-enabled outsourcing and specialized data services.. Value Points: Title: Scale with multilingual coverage. Value Points: Description: Public pages describe 24/7 support in 50+ languages for customer service outsourcing.. Value Points: Title: Reduce operational burden. Value Points: Description: The company emphasizes a seamless workflow, responsiveness, and a headache-free process in its public positioning.. Value Points: Title: Support AI and data workflows. Value Points: Description: Its data preparation and annotation services are positioned for LLM and machine learning workflows.. Company Overview: Tagline: End-to-end LLM training and data infrastructure; customer service outsourcing.. Highlights: Global provider of data annotation and customer service outsourcing. Highlights: Publicly states support for Fortune 500 and GAFAM companies. Highlights: International footprint across multiple countries and offices. Highlights: Offers multilingual customer support and AI-enabled support tools. Description: Mindy Support is a global outsourcing provider focused on data annotation, data preparation, data collection, quality assurance, and customer service/BPO offerings. Public company materials describe it as serving Fortune 500 and GAFAM companies and operating internationally with offices and representatives in multiple countries.. Competitive Differentiators: Differentiators: Title: AI and human support combination. Differentiators: Description: Public materials position the company as combining professional human agents with smart AI tools for customer support.. Differentiators: Title: Multilingual and 24/7 coverage. Differentiators: Description: The company states that it offers 24/7 omnichannel customer support

Strengths

• Brand Profile: Voice: Professional. Voice: B2B-oriented. Voice: Global. Voice: AI-focused. Tagline: Generative AI, Customer Service & Data Annotation. Imagery Style: Not verified from available public assets. (public_web; observed 2026-05-01)
• Client Portfolio: Clients: Segment: Enterprise. Clients: Industry: Multiple. Clients: Client Name: Fortune 500 companies. Clients: Segment: Enterprise. Clients: Industry: Technology. Clients: Client Name: GAFAM companies. Industry Concentration: Technology. Industry Concentration: Automotive. Industry Concentration: Agriculture. Industry Concentration: IT and services. Industry Concentration: Aviation and airspace. Industry Concentration: Retail and e-commerce. Industry Concentration: Marketing and advertising. Industry Concentration: Manufacturing. Industry Concentration: Healthcare. Industry Concentration: Telecommunications. (public_web; observed 2026-05-01)
• Client Value Proposition: Summary: Mindy Support’s public value proposition centers on helping clients scale operations with multilingual, cost-effective, AI-enabled outsourcing and specialized data services.. Value Points: Title: Scale with multilingual coverage. Value Points: Description: Public pages describe 24/7 support in 50+ languages for customer service outsourcing.. Value Points: Title: Reduce operational burden. Value Points: Description: The company emphasizes a seamless workflow, responsiveness, and a headache-free process in its public positioning.. Value Points: Title: Support AI and data workflows.. (public_web; observed 2026-04-07)

Gaps

• The reviewed public sources do not establish buyer-specific service levels, staffing commitments, or acceptance criteria for a defined scope. (public_web; observed 2026-05-01)
• The reviewed public sources do not establish a buyer-specific continuity design, recovery objective, security schedule, or named delivery team. (public_web; observed 2026-08-20)
• The reviewed public sources do not provide directly comparable commercial terms and independently verified outcomes for a like-for-like engagement. (public_web; observed 2025-10-04)

Firmographics

GB100 score

Overall score: 47

• egs: 38.7
• growth: 56.5
• reputation: 45.5
• ai_readiness: 50
• market_footprint: 31.2
• digital_readiness: 57.2

Scores are calculated from published evidence and the current GB100 methodology; payment does not affect rank.

Services and operating scope

Mindy Support's structured service taxonomy includes Technical Support, Customer Support, Data Annotation. Client Portfolio: Clients: Segment: Enterprise. Clients: Industry: Multiple. Clients: Client Name: Fortune 500 companies. Clients: Segment: Enterprise. Clients: Industry: Technology. Clients: Client Name: GAFAM companies. Industry Concentration: Technology. Industry Concentration: Automotive. Industry Concentration: Agriculture. Industry Concentration: IT and services. Industry Concentration: Aviation and airspace. Industry Concentration: Retail and e-commerce. Industry Concentration: Marketing and advertising. Industry Concentration: Manufacturing. Industry Concentration: Healthcare. Industry Concentration: Telecommunications. Competitive Landscape: Competitors: Name: Generic data annotation providers. Competitors: Evidence: Public positioning centers on data annotation and data preparation services.. Competitors: Relationship: direct. Competitors: Name: Customer service BPO providers. Competitors: Evidence: Website headline includes customer service alongside generative AI and data annotation.. Competitors: Relationship: adjacent. Competitors: Name: AI data labeling vendors. Competitors: Evidence: Job and social profiles emphasize AI data labeling and annotation services.. Competitors: Relationship: alternative. Positioning: A global provider of data preparation and data annotation services with customer service capability, positioned around AI/ML support and enterprise-scale clients.. Market Signals: LinkedIn describes a presence in over 20 countries. Market Signals: Social and directory sources consistently frame the company as an outsourcing/offshoring and data services provider. Differentiators: Claims service to Fortune 500 and GAFAM customers. Differentiators: Public messaging emphasizes global delivery and generative AI support. Differentiators: Public reviews highlight speed, responsiveness, and quality. Key Firmographics: Sectors Display: Automotive. Sectors Display: Agriculture. Sectors Display: IT and services. Sectors Display: Aviation and airspace. Sectors Display: Retail and e-commerce. Sectors Display: Marketing and advertising. Sectors Display: Manufacturing. Sectors Display: Healthcare. Sectors Display: Telecommunications. Headquarters Display: Cyprus. Employee Count Display: More than 2,000 specialists. Recent News: Articles: Date: 2026-03-19. Articles: Title: Case studies page updated with BPO and customer support examples. Articles: Source: Mindy Support. Articles: Summary: The public case studies

Geography

Countries listed in the structured record include -. Delivery Center Details: Centers: City: Limassol. Centers: Model: HQ. Centers: Country: Cyprus. Centers: City: Kyiv. Centers: Model: Remote/office not verified. Centers: Country: Ukraine. Centers: City: Lutsk. Centers: Model: Remote. Centers: Country: Ukraine. Hiring & Workforce Signals: Open Positions: Title: Image Annotation Specialist (AI Data Labeler). Open Positions: Location: Lutsk / Remote. Open Positions: Seniority: Entry. Open Positions: Department: Operations. Workforce Signals: Evidence: Paid training mentioned in job posting. Workforce Signals: Evidence: Remote work option mentioned in job posting. Workforce Signals: Evidence: Flexible 6-hour or 9-hour workday mentioned in job posting. Executive Summary: Summary: Mindy Support is a Cyprus-headquartered outsourcing provider with public positioning around data annotation, data preparation, quality assurance, and multilingual customer support/BPO services. The company also presents itself as AI-enabled and internationally distributed, with public references to a team of more than 2,000 specialists and operations across several countries.. Financial Health: Risk Factors: No public financial statements or funding events verified in the available sources.. Risk Factors: Third-party directory data indicates private-company scale with revenue under $5 million, but this is not a primary-source financial disclosure.. Overall Health: unknown. Leadership & Executives: Executives: Name: Alisa Roskovshenko. Executives: Title: Head of Operations BPO. Pricing & Engagement: Summary: No public pricing sheet, rate card, or contract model was verified from the available public sources.. Reputation & Reviews: Summary: Public review signals are limited and mixed. G2 shows a single 5.0/5.0 review, while Glassdoor shows a 3.4/5 employee rating with 66% recommending the company; Trustpilot contains at least one negative public review snippet.. Credentials: Detail: 1 total review listed on the

Methodology

Mindy Support's BPOIndex scorecard is assembled from public, attributable evidence rather than vendor-submitted marketing claims or a paid-placement package. The research pass reviewed 19 distinct source URLs and retained 23 substantive facts or company sections with direct citations. Each retained observation is tied to the page where it was found and to the date on which that page was observed. Information that could not be traced to a reviewed public source was left out. This distinction matters because a provider's website may describe broad capabilities without publishing buyer-specific service levels, staffing commitments, commercial terms, delivery capacity, or independently comparable outcomes. Collection and publication are separate. Collection discovers public pages, records evidence, and builds structured sections for company background, services, delivery footprint, operating signals, and credentials. Publication includes only substantive observations carrying an HTTP citation. The strengths below identify areas where the provider has published inspectable information; they are not guarantees of quality, price, security, or fit. Evidence gaps are questions the reviewed sources did not answer at a buyer-specific level, not negative claims about the provider. Peer links are navigation aids from other canonical BPOIndex profiles, not a claim that every company is identical in size, geography, specialization, or commercial model. Buyers should compare the underlying service taxonomy, locations, evidence, and current score dimensions. Confirm scope-specific service levels, named delivery sites, staffing assumptions, security controls, continuity plans, pricing units, minimum commitments, and referenceable outcomes directly with the provider. The observed dates show when evidence was collected. Later enrichment can add newly published sources, but unsupported inference, duplicate shells, and generic filler do not qualify a page for indexing.

Read the full GB100 methodology

Coverage gaps

• Insufficient public evidence for headquarters coverage.

Services

• Technical Support
• Customer Support
• Data Annotation

Industries Served

• E-commerce & Retail

Contact

Website: https://mindy-support.com/

Email: hello@mindy-support.com

Phone: 357 2503 0267

LinkedIn: http://www.linkedin.com/company/mindy-support

Frequently Asked Questions

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