Cogito Tech LLC scorecard

Company Overview

Cogito Tech LLC is a BPO company. They specialize in Sales & Marketing, Finance & Accounting, Data Annotation.

Executive summary

Brand Profile: Voice: Professional. Voice: Technical. Voice: AI-focused. Voice: Solution-oriented. Tagline: AI Training Data Company. Imagery Style: Business and technical AI/annotation imagery with data-centric service presentation. Client Value Proposition: Summary: Cogito Tech’s public value proposition centers on helping enterprises build and improve AI models with accurate, scalable, and secure training data and human-in-the-loop services.. Value Points: Title: Accuracy and quality. Value Points: Description: The company emphasizes high-quality datasets and quality control for labeling and annotation workflows.. Value Points: Title: Scalability. Value Points: Description: Public materials describe a skilled on-demand workforce and distributed labeling approach for large projects.. Value Points: Title: Data privacy and security. Value Points: Description: Case-study material highlights de-identification and privacy-sensitive healthcare data handling.. Value Points: Title: Broad AI workflow support. Value Points: Description: Public services span data preparation, annotation, model evaluation, fine-tuning, and safety-related work.. Company Overview: Tagline: AI training data company. Highlights: Custom data curation and labeling for computer vision, NLP, and generative AI. Highlights: Human-in-the-loop workforce positioning. Highlights: Public case-study signals in healthcare data preparation, de-identification, and medical annotation. Description: Cogito Tech LLC presents itself as a privately held AI training data and human-in-the-loop services provider focused on custom data curation, labeling, and related model support for AI and machine learning use cases.. Competitive Differentiators: Differentiators: Title: Human-in-the-loop delivery model. Differentiators: Description: The company positions itself around skilled on-demand workforce support for scalable data workflows and AI training needs.. Differentiators: Title: Healthcare depth. Differentiators: Description: Public case studies show work in medical record de-identification, medical NER, and radiology labeling for healthcare AI use cases.. Differentiators:

Strengths

• Brand Profile: Voice: Professional. Voice: Technical. Voice: AI-focused. Voice: Solution-oriented. Tagline: AI Training Data Company. Imagery Style: Business and technical AI/annotation imagery with data-centric service presentation. (public_web; observed 2026-08-12)
• Client Portfolio: Clients: Segment: Enterprise. Clients: Industry: Healthcare. Clients: Client Name: Fortune 100 healthcare enterprise. Clients: Segment: Institutional. Clients: Industry: Research. Clients: Client Name: Renowned research institution. Clients: Segment: Enterprise. Clients: Industry: Healthcare. Clients: Client Name: Healthcare company specializing in cancer treatment and diagnosis. Industry Concentration: Healthcare. Industry Concentration: Medical imaging. Industry Concentration: Research. (public_web; observed 2026-08-25)
• Client Value Proposition: Summary: Cogito Tech’s public value proposition centers on helping enterprises build and improve AI models with accurate, scalable, and secure training data and human-in-the-loop services.. Value Points: Title: Accuracy and quality. Value Points: Description: The company emphasizes high-quality datasets and quality control for labeling and annotation workflows.. Value Points: Title: Scalability. Value Points: Description: Public materials describe a skilled on-demand workforce and distributed labeling approach for large projects.. Value Points: Title: Data privacy and security.. (public_web; observed 2026-08-12)

Gaps

• The reviewed public sources do not establish buyer-specific service levels, staffing commitments, or acceptance criteria for a defined scope. (public_web; observed 2026-08-12)
• The reviewed public sources do not establish a buyer-specific continuity design, recovery objective, security schedule, or named delivery team. (public_web; observed 2026-08-21)
• The reviewed public sources do not provide directly comparable commercial terms and independently verified outcomes for a like-for-like engagement. (company_website_asset; observed 2026-08-25)

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

Cogito Tech LLC's structured service taxonomy includes Sales & Marketing, Finance & Accounting, Data Annotation. Client Portfolio: Clients: Segment: Enterprise. Clients: Industry: Healthcare. Clients: Client Name: Fortune 100 healthcare enterprise. Clients: Segment: Institutional. Clients: Industry: Research. Clients: Client Name: Renowned research institution. Clients: Segment: Enterprise. Clients: Industry: Healthcare. Clients: Client Name: Healthcare company specializing in cancer treatment and diagnosis. Industry Concentration: Healthcare. Industry Concentration: Medical imaging. Industry Concentration: Research. Competitive Landscape: Competitors: Name: Appen. Competitors: Relationship: direct. Competitors: Name: TELUS International AI Data Solutions. Competitors: Relationship: direct. Competitors: Name: Sama. Competitors: Relationship: direct. Competitors: Name: Scale AI. Competitors: Relationship: direct. Competitors: Name: iMerit. Competitors: Relationship: direct. Positioning: AI data solutions provider focused on data curation, annotation, and training data for computer vision, NLP, and generative AI.. Market Signals: Website emphasizes custom data curation and labeling for computer vision, NLP, and generative AI. Market Signals: Case studies highlight regulated healthcare and medical imaging workflows. Market Signals: Public directory sources describe the company as a data labeling and annotation provider. Differentiators: Healthcare-oriented data labeling case studies. Differentiators: Board-certified radiologist labeling described in case study materials. Differentiators: Broader mix of AI data services including transcription, content moderation, and document processing. Key Firmographics: Founded Year: 2011. Revenue Display: $5.1M (ZoomInfo). Sectors Display: AI training data. Sectors Display: Data labeling. Sectors Display: Data curation. Sectors Display: Machine learning services. Sectors Display: Healthcare data services. Headquarters Display: Levittown, New York, United States. Employee Count Display: 1001-5000 employees (LinkedIn); 72 employees (ZoomInfo); 16-20 employees (Clutch). Ownership Type Display: Privately held. Pricing & Engagement: Models: Name: Managed data-labeling services. Models: Best For: Large AI data preparation programs. Models: Description: Enterprise data labeling and curation delivered through a managed workforce model.. Models: Name: Custom project engagement. Models: Best For: Healthcare, computer vision, and NLP

Geography

Delivery Center Details: Centers: City: Levittown. Centers: Country: United States. Centers: City: Noida. Centers: Country: India. Services & Offerings: Categories: Name: Data labeling and annotation. Categories: Services: Image annotation. Categories: Services: Video annotation. Categories: Services: Audio annotation. Categories: Services: Text annotation. Categories: Services: Classification. Categories: Services: Moderation. Categories: Name: AI training data. Categories: Services: Custom data curation. Categories: Services: Training data preparation. Categories: Services: Data cleaning. Categories: Services: Data categorization. Categories: Name: Generative AI support. Categories: Services: Supervised fine-tuning. Categories: Services: RLHF. Categories: Services: Model safety. Categories: Services: Model evaluation. Categories: Services: Red teaming. Categories: Name: Natural language processing. Categories: Services: NER data labeling. Categories: Services: Medical NLP. Categories: Services: Search relevance. Categories: Services: OCR transcription. Categories: Name: Computer vision. Categories: Services: Object and image labeling. Categories: Services: Visual search data. Categories: Services: 3D point cloud. Categories: Name: Healthcare data services. Categories: Services: Medical record analysis. Categories: Services: ETL. Categories: Services: De-identification. Categories: Services: Medical image labeling. Categories: Services: Clinical document annotation. Tech Stack & Tools: Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Custom data curation and labeling services. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Data annotation. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Model fine-tuning. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Ethical testing. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Quality assurance. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Content moderation. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Computer vision. Tools: Category: AI. Tools: Confidence: confirmed. Tools: Product Name: Natural language processing. Tools:

Methodology

Cogito Tech LLC's BPOIndex scorecard is assembled from public, attributable evidence rather than vendor-submitted marketing claims or a paid-placement package. The research pass reviewed 24 distinct source URLs and retained 34 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 industry taxonomy coverage.

Services

• Sales & Marketing
• Finance & Accounting
• Data Annotation

Contact

Website: https://www.cogitotech.com

Phone: 1622892436

Frequently Asked Questions

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