Supahands scorecard

Last updated: 2026-08-26

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Company Overview

Supahands is a BPO company.

Executive summary

Brand Profile: Voice: technical. Voice: B2B. Voice: AI-focused. Tagline: Quality Data For Your Machine. Imagery Style: Product and platform-oriented brand presentation focused on data/AI services.. Logo Variants: Supahands. Logo Variants: Supa. Client Value Proposition: Summary: Supahands’ public value proposition is faster delivery of high-volume data preparation work for AI and machine-learning teams, with outsourced labor and workflow tooling handling repetitive annotation and validation tasks.. Value Points: Title: Scales training-data production. Value Points: Description: Public sources describe the company as helping clients prepare datasets at scale for ongoing model training.. Value Points: Title: Reduces in-house workflow burden. Value Points: Description: The model is presented as a way to avoid building and managing an internal labeling workforce or annotation tool.. Value Points: Title: Supports repetitive, high-volume tasks. Value Points: Description: Public descriptions emphasize micro-tasking and outsourced completion of tedious operational work.. Company Overview: Highlights: Privately owned. Highlights: Headquartered in Kuala Lumpur, Malaysia. Highlights: Current public positioning centers on data labeling for AI/ML. Highlights: Previously associated with virtual assistant outsourcing before pivoting. Highlights: Global client service coverage mentioned in directory sources. Description: Supahands is a Kuala Lumpur-based outsourcing company that publicly describes its current focus as data labeling and training-data services for machine learning and AI, with global client service coverage mentioned in directory listings.. Competitive Differentiators: Differentiators: Title: AI-data specialization. Differentiators: Description: Public sources consistently position Supahands around data labeling and training data rather than generalist BPO.. Differentiators: Title: Crowdsourced remote workforce model. Differentiators: Description: Sources describe a remote workforce or crowdsourced SupaAgents model used to break work into micro-tasks.. Differentiators: Title:

Strengths

  • Brand Profile: Voice: technical. Voice: B2B. Voice: AI-focused. Tagline: Quality Data For Your Machine. Imagery Style: Product and platform-oriented brand presentation focused on data/AI services.. Logo Variants: Supahands. Logo Variants: Supa. (public_web; observed 2026-06-25)
  • Client Portfolio: Clients: Segment: publicly named client. Clients: Industry: marketplace. Clients: Client Name: Carousell. Clients: Segment: publicly named client. Clients: Industry: software. Clients: Client Name: Sprinklr. Clients: Segment: publicly named client. Clients: Industry: retail technology. Clients: Client Name: Badger Technologies. Industry Concentration: AI/data labeling use cases across consumer marketplace, SaaS customer experience, and retail technology. (public_web; observed 2026-08-13)
  • Client Value Proposition: Summary: Supahands’ public value proposition is faster delivery of high-volume data preparation work for AI and machine-learning teams, with outsourced labor and workflow tooling handling repetitive annotation and validation tasks.. Value Points: Title: Scales training-data production. Value Points: Description: Public sources describe the company as helping clients prepare datasets at scale for ongoing model training.. Value Points: Title: Reduces in-house workflow burden. Value Points: Description: The model is presented as a way to avoid building. (public_web; observed 2026-08-26)

Gaps

  • The reviewed public sources do not establish buyer-specific service levels, staffing commitments, or acceptance criteria for a defined scope. (public_web; observed 2026-06-25)
  • 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 2025-07-16)

Firmographics

GB100 score

Overall score: 47

  • egs: 36
  • growth: 50
  • reputation: 45.5
  • ai_readiness: 50
  • market_footprint: 50
  • digital_readiness: 52.6

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

Services and operating scope

Client Portfolio: Clients: Segment: publicly named client. Clients: Industry: marketplace. Clients: Client Name: Carousell. Clients: Segment: publicly named client. Clients: Industry: software. Clients: Client Name: Sprinklr. Clients: Segment: publicly named client. Clients: Industry: retail technology. Clients: Client Name: Badger Technologies. Industry Concentration: AI/data labeling use cases across consumer marketplace, SaaS customer experience, and retail technology. Competitive Landscape: Competitors: Name: Scale AI. Competitors: Evidence: Both operate in data labeling / AI data preparation.. Competitors: Relationship: direct. Competitors: Name: Appen. Competitors: Evidence: Both provide data labeling and AI training data services.. Competitors: Relationship: direct. Competitors: Name: TELUS Digital AI Data Solutions. Competitors: Evidence: Both serve human-in-the-loop data annotation and AI training workflows.. Competitors: Relationship: direct. Positioning: AI data labeling and outsourced data preparation provider for machine learning use cases.. Market Signals: Public sources describe the company as a privately owned data labeling company and/or platform for outsourcing services.. Market Signals: The business has been associated with acquisition activity in the AI data services segment.. Differentiators: Proprietary technology combined with a crowdsourced remote workforce. Differentiators: Emphasis on fully managed data labeling services. Pricing & Engagement: Models: Name: Task-based outsourcing. Models: Best For: Ad hoc or variable outsourced work. Models: Description: Older sources describe clients being billed by time taken for assigned tasks.. Models: Name: Subscription plans. Models: Best For: Historical reference only; not verified as current. Models: Description: An older 2014 review referenced tiered subscription-style plans for the earlier virtual-assistant offering.. Summary: Public sources do not provide a current formal pricing sheet or standard engagement model beyond task-based outsourcing references.. Employee & Client Sentiment: Sentiment Trend: unknown. Employee Satisfaction: unknown. Services & Offerings: Categories: Name: Data labeling. Categories: Services: Image annotation. Categories: Services:

Geography

Delivery Center Details: Centers: City: Kuala Lumpur. Centers: Model: remote/crowdsourced human intelligence workforce. Centers: Country: Malaysia. Key Firmographics: Founded Year: 2014. Sectors Display: Business process outsourcing. Sectors Display: Data labeling. Sectors Display: Artificial intelligence. Sectors Display: Machine learning. Headquarters Display: Kuala Lumpur, Malaysia. Ownership Type Display: Privately owned. Financial Health: Risk Factors: No recent public financial statements found in the provided sources.. Risk Factors: Private-company financial visibility is limited.. Overall Health: unknown. Financial Events: Date: 2021-08-26. Financial Events: Event Type: acquisition_target. Financial Events: Description: Supahands was reported as being acquired by Omnilytics for US$20M.. Leadership & Executives: Executives: Name: Mark Koh. Executives: Title: Co-founder and CEO. Executives: Name: Susian Yeap. Executives: Title: Co-founder and COO. Executives: Name: Greg Meehan. Executives: Title: Chief Revenue Officer. Recent News: Articles: Date: 2020-04-02. Articles: Title: Supahands appoints Greg Meehan as Chief Revenue Officer. Articles: Source: Digital News Asia. Articles: Summary: Reported appointment of a CRO to support global revenue strategy and growth.. Reputation & Reviews: Summary: Public review and directory material is limited; no reliable current third-party rating could be verified from the available public sources.. Executive Summary: Summary: Supahands appears as an outsourcing provider that evolved from virtual-assistant style task support into a data-labeling specialist serving AI and machine-learning use cases.. Tech Stack & Tools: Tools: Category: AI. Tools: Confidence: inferred. Tools: Product Name: proprietary data labeling platform. Tools: Category: AI. Tools: Confidence: inferred. Tools: Product Name: crowdsourced human intelligence workforce platform. Ai Capabilities: data labeling. Ai Capabilities: image annotation. Ai Capabilities: data verification. Ai Capabilities: data tagging. Ai Capabilities: data categorization. Proprietary

Methodology

Supahands's BPOIndex scorecard is assembled from public, attributable evidence rather than vendor-submitted marketing claims or a paid-placement package. The research pass reviewed 17 distinct source URLs and retained 17 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 employee coverage.
  • Insufficient public evidence for headquarters coverage.
  • Insufficient public evidence for service taxonomy coverage.
  • Insufficient public evidence for industry taxonomy coverage.

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Contact

Website: https://workplace.supahands.com/

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