Fractal Analytics Inc. Unclaimed
New York, NY, United States
Global enterprise AI company powering data-driven decisions for Fortune 500 organizations.
Fractal Analytics Inc. is a global enterprise AI company that powers decision-making at Fortune 500 organizations by delivering end-to-end capabilities in AI strategy, data analytics, engineering, and implementation. The organization focuses on turning data into actionable insights for executives and teams, enabling improved customer experiences, optimized operations, and accelerated digital transformation. Fractal serves a broad, global audience with a mission to empower data-driven decisions across industries through rigorous analytics, engineering excellence, and responsible AI practices.
Fractal aims to power every human decision in the enterprise by delivering enterprise-grade AI, analytics, and engineering solutions that enable data-driven transformation.
What we offer
Cogentiq
Cogentiq transforms enterprise decision-making by enabling autonomous actions from unified data, reducing response time from weeks to minutes.
fractal.ai/products/cogentiq/Cogentiq eCommerce
Empower eCommerce teams with AI-driven insights and rapid decision-making.
fractal.ai/products/cogentiq-ecommerce/Cogentiq CX
Cogentiq CX enhances customer experience and operational efficiency through intelligent automation.
fractal.ai/products/cogentiq-cx/Customer Genomics
Enhances customer engagement and drives conversions through real-time insights.
fractal.ai/solutions/customer-genomics/Content Supply Chain
Streamline content workflows and enhance efficiency with automated tagging and standardized taxonomies.
fractal.ai/content-supply-chain/Next Best Action
Empowers decision-making with AI-guided actions and personalized engagement.
fractal.ai/health-next-best-action/Rapid Experimentation
Accelerate data-driven decision-making with in-market experimentation and statistical insights.
fractal.ai/solutions/trial-run/Cogentiq Data Foundation
Enhances data operations for enterprises with efficient processing, AI integration, and comprehensive management.
fractal.ai/solutions/concordia/Fractal Enterprise Store
Empowers organizations to make informed decisions through a collaborative data marketplace.
fractal.ai/solutions/enterprise-store/Fractal AIDE
Enhance decision-making by identifying website improvements that maximize revenue impact.
Fractal Marketing Mix Modeling
Enhance marketing effectiveness through data-driven insights from marketing mix modeling.
aws.amazon.com/marketplace/pp/prodview-2j7necohxvdwk?sr=0-17&ref_=beagle&applicationId=AWSMPContessaFractal RAISE
Enhances health equity and care efficiency through unified AI insights.
Market segments
Market size by segment
Growth potential (CAGR)
Autonomous agent platforms
Platforms that enable enterprises to build, orchestrate, evaluate, and govern autonomous AI agents, assistants, and agentic workflows for production use.
Customer experience automation
Capabilities that automate contact-center quality, provide real-time agent assistance and transcription, enable autonomous voice and chat self-service, and deliver journey analytics and next-best-action personalization to improve CX efficiency.
Ecommerce optimization
Capabilities to improve online store performance and conversion through abandoned‑cart recovery, product discovery and pricing, Shopify support, store performance analysis and conversion‑focused content.
Data productization and marketplace
Packaging, certifying, and publishing reusable AI-ready data products with built-in governance, no-code publishing, and marketplace discovery for internal reuse.
Marketing measurement and analytics
Measurement, forecasting, and analytics capabilities such as bespoke measurement stacks, incrementality testing, media mix modeling, marginal cost analysis, brand impact studies, AI-powered forecasting, and strategic audits to align marketing to business outcomes.
More information about our offering
Cogentiq
Cogentiq is an enterprise agentic AI platform that unifies data across systems to enable autonomous actions and decision-making. It offers a low-code/no-code agent builder, a library of ready-made connectors, and a suite of pre-built domain-specific agents to accelerate deployment. Additionally, it supports the Model Context Protocol (MCP) for streamlined agent communication, and is available as API and containerized microservices.
- Empower Users With BuilderDemocratizes AI development, letting non-technical users build tailored solutions that fit specific needs.
- Make Fast, Informed DecisionsTransforms how enterprises monitor and act on real-time data, improving responsiveness to market changes.
- Deploy Flexibly With APIsSupports rapid, scalable integration within existing systems using adaptable deployment options.
- Accelerate Deployment With AgentsPre-configured agents help reduce time-to-value, allowing organizations to implement solutions rapidly.
- Integrate Seamlessly With ConnectorsEnables quick access to diverse data sources, facilitating comprehensive insights without extensive setup.
- Enhance Communication Between AgentsEnsures fluid data exchange between agents, optimizing processes and decision accuracy.
Cogentiq eCommerce
Cogentiq eCommerce is an AI-native Always-on E-Commerce Profit Engine designed for fast-moving consumer goods teams to manage availability, discovery, and media volatility across channels such as Amazon. It monitors 70+ profit signals daily per SKU and delivers cross-functional recommendations across customer, media, and supply chain within minutes to optimize availability, discovery, pricing, and media investments. It supports rapid deployment using a marketplace API.
- Enables Proactive Profit ManagementEnsures that CPG teams can immediately react to market changes, maintaining stock levels and optimizing conversions.
- Facilitates Seamless E-Commerce OperationsConnects effortlessly with Amazon's systems, enhancing product visibility and order management.
- Drives Smarter E-Commerce StrategiesUtilizes AI to analyze trends and behaviors, enabling data-backed decisions that enhance overall performance.
- Enhances Collaborative Decision MakingFosters synergy between departments by providing actionable insights that drive unified strategic actions.
- Maximizes Profitability Per ProductEnsures that every SKU is strategically managed to enhance profitability and reduce wastage.
- Accelerates Time to MarketEnables teams to deploy solutions quickly, helping them respond to new opportunities swiftly.
Cogentiq CX
Cogentiq CX is a customer-experience product that automates audits and insights to reduce manual effort, improves agent efficiency with real-time transcription, suggestions, and smart search, and enables autonomous voice and chat self-service for customers.
- Empowers CustomersCustomers can resolve issues and gather information without agent intervention, freeing up resources and enhancing satisfaction.
- Reduces Manual EffortBy automating insight generation and quality checks, Cogentiq CX significantly lowers the manual workload for agents.
- Enhances Agent EfficiencyReal-time transcription and contextual search tools enable agents to assist customers more effectively and swiftly.
- Streamlines Decision MakingBy consolidating data sources, Cogentiq CX provides a comprehensive view that aids in informed decision-making.
- Ensures ComplianceUsers can maintain control over operations while ensuring adherence to best practices and regulations.
Customer Genomics
Customer Genomics is an AI-powered platform that analyzes customer data in real time and identifies the Next Best Action for each customer, enabling decision-making across the customer journey.
- Empower Decisions Across JourneysEnables comprehensive insights that guide every interaction, improving customer experience.
- Identify Optimal ActionsDrives engagement by suggesting actions tailored to individual customer needs, enhancing satisfaction and conversions.
- Deliver Instant InsightsOffers timely information that businesses can act on immediately to optimize customer interactions.
- Tailor ExperiencesUtilizes insights to customize interactions, fostering loyalty and repeat engagement.
Content Supply Chain
Content Supply Chain automates metadata tagging for faster, compliant content delivery, reduces manual effort, improves accuracy and insights, and standardizes taxonomies for streamlined workflows and integration.
- Automate Metadata TaggingThis feature enhances compliance and accelerates content availability in the market, ensuring that all content is tagged correctly and efficiently.
- Reduce Manual EffortBy decreasing the need for manual intervention, users can focus on strategic tasks, leading to significant time and resource savings.
- Coordinate Across TeamsEnsures streamlined operations by enabling different teams to collaborate efficiently, thus improving overall content strategy implementation.
- Standardize TaxonomiesProviding a unified structure facilitates integration across diverse systems, reducing errors and improving interoperability.
Next Best Action
Next Best Action converts data-driven insights into high-impact actions and supports decision-making across interactions with AI-guided actions and GenAI personalization.
- Enhance Decisions With AIProvides real-time guidance to improve decision-making during customer interactions.
- Transform Insights Into ActionsIdentifies and recommends actionable steps based on data analysis.
- Tailor Engagement To AudienceCustomized recommendations enhance customer experiences and outcomes.
- Maximize Impact With DataStrategically aligns decisions to business outcomes for maximized effectiveness.
Rapid Experimentation
Rapid Experimentation enables designing and measuring in-market experiments with statistical confidence, identifying lift drivers and simulating rollout across sales, marketing, HR, and customer experience.
- Enhance Decision-Making Across FunctionsLeverage Rapid Experimentation to test initiatives in various business areas, ensuring comprehensive insights and collaboration.
- Achieve Reliable ResultsUtilize advanced statistical methods to ensure experiment outcomes are valid and actionable, reducing uncertainty in decisions.
- Optimize Performance MetricsDetermine key performance drivers through experimentation, allowing for informed strategy enhancements and resource allocation.
- Forecast Outcomes Before LaunchPredict how various strategies might perform in real-world settings, enabling proactive adjustments for success.
Cogentiq Data Foundation
Cogentiq Data Foundation speeds up data processes, enables AI-driven data enrichment, and provides expertly managed data, vendors, and performance.
- Enrich Data AutomaticallyUtilizes AI to enhance data quality and insights, ensuring actionable outcomes for businesses.
- Gain Full Data OversightOffers expert management of data operations, ensuring efficiency, reliability, and compliance.
- Accelerate Data WorkflowsStreamlines operations by significantly reducing the time taken for data processing and analysis.
- Leverage Intelligent AutomationIntegrates advanced AI capabilities to enable proactive decision-making and comprehensive data insights.
- Deploy AnywhereProvides the ability to run and scale operations in multiple cloud environments without vendor lock-in.
Fractal Enterprise Store
Fractal Enterprise Store is the intelligent information marketplace for smarter business decisions. It enables smart data discovery, self-serve access via APIs, trust-driven data profiling, meaningful collaboration, and enterprise-grade governance.
- Ensures Data SecurityMaintains compliance and security standards through robust governance frameworks.
- Enhances Data GovernanceFacilitates effective management of data access and compliance through comprehensive usage analytics.
- Enhances Data ReliabilityEnsures transparency and trust in data through comprehensive profiling and quality assessments.
- Simplifies Data OnboardingEnables producers to easily publish and manage their data products with minimal technical barriers.
- Promotes Independent Data UsageAllows users to access and subscribe to data products autonomously, enhancing agility.
- Improves Data RetrievalFacilitates quick and efficient access to relevant data through intuitive interfaces.
- Fosters Data-Driven CollaborationEncourages teamwork and engagement by allowing feedback and sharing among users.
Fractal AIDE
Fractal AIDE quantifies revenue loss to prioritize high-impact website improvements and extracts insights from customer journeys using AI, ML, and NLP to identify friction points and journey drivers.
- Enhance Data-Driven DecisionsLeverage advanced analytics through AI, ML, and NLP to gain critical insights into customer behavior, empowering teams to make informed decisions.
- Maximize Revenue OpportunitiesQuantify potential revenue losses to prioritize actionable changes on websites that can yield significant financial benefits.
- Identify Improvement AreasUtilize technology to pinpoint friction areas within customer journeys, guiding enhancements that lead to smoother interactions and increased satisfaction.
- Integrate Advanced AI AnalysisUtilize generative AI for sophisticated analysis techniques, elevating the depth and quality of insights produced by the platform.
Fractal Marketing Mix Modeling
Marketing mix modeling to optimize pricing, promotions, and e-commerce investments, driving more efficient and effective marketing spend.
- Enhance Pricing StrategiesUtilize advanced analytics to refine pricing strategies and promotional offers to boost sales and customer engagement.
- Optimize E-Commerce InvestmentsGain insights that help allocate marketing budgets effectively across various e-commerce channels to maximize ROI.
- Achieve Comprehensive CoverageLeverage a wide array of data sources for a complete view of the market, enhancing decision-making accuracy.
- Adapt with Real-Time InsightsStay agile with modeling that recalibrates as market conditions change, ensuring marketing strategies remain relevant.
Fractal RAISE
RAISE helps identify health equity gaps across diverse populations, spot high-risk members, and cut costs while boosting care with unified AI-ready insights.
- Detects Health Equity GapsRAISE effectively identifies gaps in health equity, helping organizations target interventions to the populations that need them most.
- Reduces Costs And Enhances CareBy consolidating insights, RAISE works to significantly lower healthcare expenses while simultaneously improving the quality of care provided.
- Provides AI-Ready InsightsRAISE ensures that insights are compatible with AI technologies, enabling organizations to utilize advanced analytics for enhanced decision-making.
- Identifies High-Risk MembersLeverages diverse data sets to provide actionable insights into members who may be at higher risk for adverse health outcomes.
References
Methodology and sourcing behind the figures shown above.
Autonomous agent platforms
Estimates derived from multiple market reports in the provided search results. MarketsandMarkets (7.84B in 2025; 46.3% CAGR) and Fortune Business Insights (8.03B in 2025; ~46.6% CAGR) give corroborating 2025 market sizes and ~46% growth forecasts. Precedence Research reports a lower 2025 base (4.35B) with a ~40.2% CAGR; weighted consensus supports a ~8B 2025 market for enterprise autonomous/agent platforms and high growth (~46% CAGR) over the forecast period.
- AI Agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030, registering a CAGR of 46.3%.
- The global AI agents market size was valued at USD 8.03 billion in 2025.
- The global autonomous agents market size was calculated at USD 4.35 billion in 2025 and is predicted to increase... CAGR 40.22%.
Customer experience automation
Primary estimate based on the InsightAce report for “AI in Customer Experience” (covers automation capabilities such as agent assist, chatbots, transcription, journey analytics). This aligns with other search results that show adjacent CX platform and component markets (FMI: $12.95B in 2025; Gitnux: CX management software $37.2B by 2027). Given the segment’s AI/automation focus, I used the InsightAce figure (USD 14.78B in 2025) and its 26.0% CAGR as the representative market size and growth potential.
Ecommerce optimization
Estimated the ecommerce-optimization segment as a focused subset of broader e‑commerce software and AI‑in‑ecommerce markets. Fortune Business Insights reports the global e‑commerce software market at USD 11.25B (2025) with a 16.46% CAGR; Precedence Research reports AI in e‑commerce at USD 9.01B (2025) with a 23.59% CAGR. Optimization capabilities (cart recovery, product discovery, pricing, personalization, conversion tools) align closely with the AI in e‑commerce scope, so I sized the segment at roughly 40–45% of the AI‑in‑ecommerce market (~USD 4.0B). Growth potential is between the e‑commerce software and AI‑ecommerce forecasts; weighted toward AI adoption, yielding an estimated CAGR of ~19%. SEO/digital marketing market figures show much larger adjacent spend but are broader and less specific to store optimization.
Data productization and marketplace
The provided search results describe data marketplaces and productization concepts (IBM, Technavio referenced) but do not include explicit market-size figures. Using those topical signals plus internal market knowledge, I estimated the market for enterprise data productization and marketplace software/services (packaging, certifying, publishing AI-ready data products, governance, no-code publishing, internal marketplace discovery) at roughly $4.0B globally today. Rationale: this niche is a subset of the broader data monetization, data management, data-catalog/feature-store and enterprise AI-data markets (which are in the low-to-mid single- to double-digit billions); the estimate assumes the niche captures a small share of those markets (software + professional services). Growth potential is high due to accelerating enterprise AI adoption, investments in data governance and reusable data assets; I estimate a near-term CAGR of ~18% reflecting rapid adoption but constrained by integration/governance complexity.
Marketing measurement and analytics
Estimate based on market reports in the provided search results. Zion Market Research defines the digital marketing analytics market at USD 6.8B in 2023 with an 18.5% CAGR (2024–2032). Coherent Market Insights reports marketing analytics software at USD 6.10B in 2026 with a 12.9% CAGR (2026–2033), indicating software-only subsegment scale. Fortune Business Insights’ larger data analytics market (USD 82.23B in 2025, 21.5% CAGR) provides an upper-bound context for analytics demand and supports a strong-growth outlook for marketing measurement and analytics services and software.
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