Innodata India PVT LTD scorecard

Company Overview

Innodata India PVT LTD is a BPO company, founded in 1988, with approximately 1,001-5,000 employees. They specialize in Back Office. They serve the E-commerce & Retail industries.

The #1 outsourcing authority Outsource Accelerator delivers the world’s leading aggregator marketplace for outsourcing. It specifically delivers the conduit between world-leading outsourcing suppliers and the businesses – clients – across the globe. The Outsource Accelerator website has over 5,000 articles, 450+ podcast episodes, and a comprehensive directory with 4,000+ BPO companies… all designed to make it easier for clients to learn about – and engage with – outsourcing. About Derek Gallimore Derek Gallimore has been in business for 20 years, outsourcing for over eight years, and has been living in Manila (the heart of global outsourcing) since 2014. Derek is the founder and CEO of Outsource Accelerator, and is regarded as a leading expert on all things outsourcing. Outsource Accelerator is the trusted source of independent information, advisory and expert implementation of Business Process Outsourcing (BPO). The focus remains on delivering consistent service quality and dependable outcomes.

Executive summary

Brand Profile: Voice: accurate. Voice: secure. Voice: reliable. Voice: domain-specific. Voice: AI-focused. Imagery Style: null. Client Value Proposition: Summary: The public record supports a value proposition centered on supplying specialized human expertise and data services that help enterprises build, evaluate, and improve AI systems.. Value Points: Title: Specialized expertise at scale. Value Points: Description: The company offers in-house domain experts, which can support complex AI workflows that require human judgment and taxonomy expertise.. Value Points: Title: AI lifecycle support. Value Points: Description: Public sources mention training data, reasoning datasets, model evaluation, and agent optimization.. Value Points: Title: Industry relevance. Value Points: Description: Referenced domains include healthcare, finance, and legal, which suggests applicability to regulated enterprise workflows.. Company Overview: Highlights: In-house subject matter expertise across STEM and industry-specific domains. Highlights: Focus on enterprise AI development and data engineering. Highlights: Publicly traded company with current investor relations disclosures. Description: Innodata is an AI data engineering and services company that provides subject matter expertise and data-related services for enterprise AI development. Public sources emphasize its in-house expert network across STEM and industry domains such as healthcare, finance, and legal.. Competitive Differentiators: Differentiators: Title: Large in-house expert network. Differentiators: Description: Public materials state the company has over 11,500 in-house subject matter experts across STEM and industry domains.. Differentiators: Title: Enterprise AI specialization. Differentiators: Description: The company positions its work around enterprise-grade AI development, including training data and related AI data services.. Differentiators: Title: Domain breadth. Differentiators: Description: Public sources reference support for healthcare, finance, and legal use cases, along with linguists and taxonomists.. Differentiators:

Strengths

• Brand Profile: Voice: accurate. Voice: secure. Voice: reliable. Voice: domain-specific. Voice: AI-focused. Imagery Style: null. (public_web; observed 2026-08-24)
• Client Value Proposition: Summary: The public record supports a value proposition centered on supplying specialized human expertise and data services that help enterprises build, evaluate, and improve AI systems.. Value Points: Title: Specialized expertise at scale. Value Points: Description: The company offers in-house domain experts, which can support complex AI workflows that require human judgment and taxonomy expertise.. Value Points: Title: AI lifecycle support. Value Points: Description: Public sources mention training data, reasoning datasets, model evaluation, and agent. (public_web; observed 2026-08-23)
• Company Overview: Highlights: In-house subject matter expertise across STEM and industry-specific domains. Highlights: Focus on enterprise AI development and data engineering. Highlights: Publicly traded company with current investor relations disclosures. Description: Innodata is an AI data engineering and services company that provides subject matter expertise and data-related services for enterprise AI development. Public sources emphasize its in-house expert network across STEM and industry domains such as healthcare, finance, and legal.. (public_web; observed 2026-08-23)

Gaps

• The reviewed public sources do not establish buyer-specific service levels, staffing commitments, or acceptance criteria for a defined scope. (public_web; observed 2026-08-23)
• 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 2026-08-06)

Firmographics

GB100 score

Overall score: 49

• egs: 46
• growth: 50
• reputation: 51.9
• ai_readiness: 50
• market_footprint: 43.4
• digital_readiness: 52.5

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

Services and operating scope

Innodata India PVT LTD's structured service taxonomy includes Back Office. Competitive Landscape: Competitors: Name: Scale AI. Competitors: Evidence: Listed among major competitors in Innodata’s public annual-report discussion of AI data engineering and training services.. Competitors: Relationship: direct. Competitors: Name: Appen. Competitors: Evidence: Listed among major competitors in Innodata’s public annual-report discussion of AI data engineering and training services.. Competitors: Relationship: direct. Competitors: Name: CloudFactory. Competitors: Evidence: Listed among major competitors in Innodata’s public annual-report discussion of AI data engineering and training services.. Competitors: Relationship: direct. Competitors: Name: Cognizant Technology Solutions. Competitors: Evidence: Named as a broader technology and business process services provider that overlaps with Innodata in some engagements.. Competitors: Relationship: adjacent. Competitors: Name: Accenture. Competitors: Evidence: Named as a broader technology and business process services provider that overlaps with Innodata in some engagements.. Competitors: Relationship: adjacent. Competitors: Name: Infosys. Competitors: Evidence: Named historically and in broader services competition contexts as a provider of overlapping technology and outsourcing services.. Competitors: Relationship: adjacent.. Reputation & Reviews: Summary: Public review sites show generally positive employee sentiment, but these are employee reviews rather than client references. No verified public client-rating or third-party service-quality benchmark was identified in the gathered sources.. Credentials: Detail: Based on over 727 anonymous reviews; 74% would recommend to a friend.. Credentials: Rating: 3.7/5. Credentials: Platform: Glassdoor. Credentials: Detail: Based on 601 reviews; ratings around work-life balance, management, and culture are broadly positive.. Credentials: Rating: 4.1/5. Credentials: Platform: Indeed. Employee & Client Sentiment: Red Flags: reviews mention low salary. Red Flags: reviews mention poor management. Red Flags: reviews mention no job security and limited career growth. Green Flags: 74% would recommend to a friend. Green Flags: 73% have a positive outlook for the business. Green Flags: employees cite flexible work

Geography

Countries listed in the structured record include -. Delivery Center Details: Centers: City: Noida. Centers: Country: India. Financial Health: Overall Health: unknown. Key Firmographics: Revenue Display: Q2 2026 revenue: $92.1M. Sectors Display: Healthcare. Sectors Display: Finance. Sectors Display: Legal. Sectors Display: STEM/technical domains. Ownership Type Display: Public company. Leadership & Executives: Executives: Name: Jack S. Abuhoff. Executives: Title: Founder, Chairman and Chief Executive Officer. Executives: Name: Rahul Singhal. Executives: Title: President and Chief Revenue Officer; designated to become President and Chief Executive Officer effective 2026-09-30. Executives: Name: Jayant Chauhan. Executives: Title: Chief Financial Officer. Executives: Name: Marissa Espineli. Executives: Title: Interim Chief Financial Officer; to transition to Chief Accounting Officer. Recent News: Articles: Date: 2026-08-06. Articles: Title: Innodata Reports Record Second Quarter 2026 Results. Articles: Source: Nasdaq. Articles: Summary: The company reported record Q2 2026 revenue of $92.1M and announced a planned leadership transition effective September 30, 2026, with Rahul Singhal becoming CEO and Jack Abuhoff moving to Executive Chairman.. Articles: Date: 2026-06-17. Articles: Title: Innodata appoints Jayant Chauhan as CFO. Articles: Source: Innodata Investor Relations. Articles: Summary: The company announced Jayant Chauhan as Chief Financial Officer, effective July 6, 2026.. Articles: Date: 2026-05-08. Articles: Title: Innodata Q1 2026 earnings coverage. Articles: Source: Investing.com. Articles: Summary: Coverage noted Q1 2026 revenue of $90.1M and management raising 2026 revenue growth guidance to approximately 40% or more.. Services & Offerings: Categories: Name: AI data services. Categories: Services: Data engineering. Categories: Services: Training data support. Categories: Services: Model evaluation. Categories: Services: Reasoning datasets. Categories: Services: Agent optimization. Categories: Name: Trust and safety. Categories: Services: Trust and safety services. Categories: Name: Domain

Methodology

Innodata India PVT LTD's BPOIndex scorecard is assembled from public, attributable evidence rather than vendor-submitted marketing claims or a paid-placement package. The research pass reviewed 16 distinct source URLs and retained 14 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

• Back Office

Industries Served

• E-commerce & Retail

Contact

Website: https://innodatacareers.com/

Email: legal@innodata.com

Phone: 800-567-4784

Frequently Asked Questions

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