FIFractal Analytics Inc. logo

Fractal Analytics Inc. Unclaimed

Enterprise AI

www.fractal.ai

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=AWSMPContessa

Fractal RAISE

Enhances health equity and care efficiency through unified AI insights.

Market segments

Market size by segment

Growth potential (CAGR)

Autonomous agent platforms

8 Billion USD46.3% CAGR

Platforms that enable enterprises to build, orchestrate, evaluate, and govern autonomous AI agents, assistants, and agentic workflows for production use.

Customer experience automation

14.78 Billion USD26% CAGR

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

4 Billion USD19% CAGR

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

4 Billion USD18% CAGR

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

6.8 Billion USD18.5% CAGR

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 Builder
    Democratizes AI development, letting non-technical users build tailored solutions that fit specific needs.
  • Make Fast, Informed Decisions
    Transforms how enterprises monitor and act on real-time data, improving responsiveness to market changes.
  • Deploy Flexibly With APIs
    Supports rapid, scalable integration within existing systems using adaptable deployment options.
  • Accelerate Deployment With Agents
    Pre-configured agents help reduce time-to-value, allowing organizations to implement solutions rapidly.
  • Integrate Seamlessly With Connectors
    Enables quick access to diverse data sources, facilitating comprehensive insights without extensive setup.
  • Enhance Communication Between Agents
    Ensures 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 Management
    Ensures that CPG teams can immediately react to market changes, maintaining stock levels and optimizing conversions.
  • Facilitates Seamless E-Commerce Operations
    Connects effortlessly with Amazon's systems, enhancing product visibility and order management.
  • Drives Smarter E-Commerce Strategies
    Utilizes AI to analyze trends and behaviors, enabling data-backed decisions that enhance overall performance.
  • Enhances Collaborative Decision Making
    Fosters synergy between departments by providing actionable insights that drive unified strategic actions.
  • Maximizes Profitability Per Product
    Ensures that every SKU is strategically managed to enhance profitability and reduce wastage.
  • Accelerates Time to Market
    Enables 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 Customers
    Customers can resolve issues and gather information without agent intervention, freeing up resources and enhancing satisfaction.
  • Reduces Manual Effort
    By automating insight generation and quality checks, Cogentiq CX significantly lowers the manual workload for agents.
  • Enhances Agent Efficiency
    Real-time transcription and contextual search tools enable agents to assist customers more effectively and swiftly.
  • Streamlines Decision Making
    By consolidating data sources, Cogentiq CX provides a comprehensive view that aids in informed decision-making.
  • Ensures Compliance
    Users 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 Journeys
    Enables comprehensive insights that guide every interaction, improving customer experience.
  • Identify Optimal Actions
    Drives engagement by suggesting actions tailored to individual customer needs, enhancing satisfaction and conversions.
  • Deliver Instant Insights
    Offers timely information that businesses can act on immediately to optimize customer interactions.
  • Tailor Experiences
    Utilizes 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 Tagging
    This feature enhances compliance and accelerates content availability in the market, ensuring that all content is tagged correctly and efficiently.
  • Reduce Manual Effort
    By decreasing the need for manual intervention, users can focus on strategic tasks, leading to significant time and resource savings.
  • Coordinate Across Teams
    Ensures streamlined operations by enabling different teams to collaborate efficiently, thus improving overall content strategy implementation.
  • Standardize Taxonomies
    Providing 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 AI
    Provides real-time guidance to improve decision-making during customer interactions.
  • Transform Insights Into Actions
    Identifies and recommends actionable steps based on data analysis.
  • Tailor Engagement To Audience
    Customized recommendations enhance customer experiences and outcomes.
  • Maximize Impact With Data
    Strategically 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 Functions
    Leverage Rapid Experimentation to test initiatives in various business areas, ensuring comprehensive insights and collaboration.
  • Achieve Reliable Results
    Utilize advanced statistical methods to ensure experiment outcomes are valid and actionable, reducing uncertainty in decisions.
  • Optimize Performance Metrics
    Determine key performance drivers through experimentation, allowing for informed strategy enhancements and resource allocation.
  • Forecast Outcomes Before Launch
    Predict 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 Automatically
    Utilizes AI to enhance data quality and insights, ensuring actionable outcomes for businesses.
  • Gain Full Data Oversight
    Offers expert management of data operations, ensuring efficiency, reliability, and compliance.
  • Accelerate Data Workflows
    Streamlines operations by significantly reducing the time taken for data processing and analysis.
  • Leverage Intelligent Automation
    Integrates advanced AI capabilities to enable proactive decision-making and comprehensive data insights.
  • Deploy Anywhere
    Provides 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 Security
    Maintains compliance and security standards through robust governance frameworks.
  • Enhances Data Governance
    Facilitates effective management of data access and compliance through comprehensive usage analytics.
  • Enhances Data Reliability
    Ensures transparency and trust in data through comprehensive profiling and quality assessments.
  • Simplifies Data Onboarding
    Enables producers to easily publish and manage their data products with minimal technical barriers.
  • Promotes Independent Data Usage
    Allows users to access and subscribe to data products autonomously, enhancing agility.
  • Improves Data Retrieval
    Facilitates quick and efficient access to relevant data through intuitive interfaces.
  • Fosters Data-Driven Collaboration
    Encourages 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 Decisions
    Leverage advanced analytics through AI, ML, and NLP to gain critical insights into customer behavior, empowering teams to make informed decisions.
  • Maximize Revenue Opportunities
    Quantify potential revenue losses to prioritize actionable changes on websites that can yield significant financial benefits.
  • Identify Improvement Areas
    Utilize technology to pinpoint friction areas within customer journeys, guiding enhancements that lead to smoother interactions and increased satisfaction.
  • Integrate Advanced AI Analysis
    Utilize 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 Strategies
    Utilize advanced analytics to refine pricing strategies and promotional offers to boost sales and customer engagement.
  • Optimize E-Commerce Investments
    Gain insights that help allocate marketing budgets effectively across various e-commerce channels to maximize ROI.
  • Achieve Comprehensive Coverage
    Leverage a wide array of data sources for a complete view of the market, enhancing decision-making accuracy.
  • Adapt with Real-Time Insights
    Stay 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 Gaps
    RAISE effectively identifies gaps in health equity, helping organizations target interventions to the populations that need them most.
  • Reduces Costs And Enhances Care
    By consolidating insights, RAISE works to significantly lower healthcare expenses while simultaneously improving the quality of care provided.
  • Provides AI-Ready Insights
    RAISE ensures that insights are compatible with AI technologies, enabling organizations to utilize advanced analytics for enhanced decision-making.
  • Identifies High-Risk Members
    Leverages 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.

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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