Startups Directory

Databricks is a unified data intelligence platform built on lakehouse architecture that combines data warehousing and data lake capabilities. It enables organizations to store, process, and analyze structured, semi-structured, and unstructured data while connecting data with AI models to build custom agents. The platform provides data engineering, analytics, and AI/ML workflows in a single environment with built-in governance. Over 70% of Fortune 500 companies use Databricks to build and scale data and AI applications.

Cursor is an AI-assisted integrated development environment (IDE) built as a fork of Visual Studio Code that enables developers to write, edit, and debug code using natural language prompts and AI agents. It combines autocomplete, codebase awareness, and task automation to boost developer productivity, with agents capable of building, testing, and demoing features end-to-end. The platform is used by over 67% of Fortune 500 companies and generates an estimated 150 million lines of enterprise code daily. Cursor differentiates itself through obsessive focus on sub-second response times, accurate code predictions, seamless VS Code integration, and real-time human-AI collaboration.

Celonis is a process intelligence platform that uses process mining and AI to analyze event log data from enterprise systems (SAP, Salesforce, ServiceNow, etc.) and create a digital twin of how business processes actually execute. The platform identifies bottlenecks, inefficiencies, rework loops, and deviations from intended workflows in real-time, then provides actionable recommendations for optimization. It serves large enterprises across finance, supply chain, operations, and customer service looking to unlock millions in operational savings.

ApertureDB is a unified database that natively stores and manages images, videos, documents, embeddings, and metadata in a single system with built-in knowledge graph and vector search capabilities. It eliminates the need for enterprises to manually integrate cloud storage, vector databases, and processing libraries by providing a single interface for multimodal AI workloads. The platform is 35x faster at mobilizing multimodal datasets than traditional approaches and 2-4x faster than open-source vector databases, reducing infrastructure setup time by 6-12 months.

AlphaSense is an AI-powered market intelligence platform that helps financial professionals make faster, more confident decisions by surfacing insights from over 500 million documents including SEC filings, broker research, news, and earnings transcripts. Using advanced NLP and machine learning, the platform interprets complex financial queries contextually rather than through simple keyword matching, and its next-generation Generative Search connects qualitative insights with structured financial data. Trusted by 88% of the S&P 100 and 70% of top 50 hedge funds, AlphaSense functions as a complementary tool to traditional platforms like FactSet and Bloomberg rather than a direct replacement.

Contentsquare is a digital experience analytics platform that automatically captures and analyzes all user interactions across websites and applications to uncover friction points in the customer journey. The platform uses autocapture technology to eliminate manual event tracking, enabling product and UX teams to identify behavioral patterns and optimize conversion paths. Used by over 1,300 leading brands including Samsung, L'Oréal, and Microsoft, Contentsquare consolidates journey analysis, session replay, heatmaps, and AI-powered insights into a single platform—positioning itself as the Salesforce or Adobe for customer experience optimization.

Fivetran is a fully managed, no-code ELT (Extract, Load, Transform) platform that automates data pipelines from 700+ sources to data warehouses and lakes. It replaces fragile, custom-built scripts with reliable, hands-off connectors that require minimal configuration. The platform serves analytics and data teams who need quick time-to-value without deep engineering investment. Over 8,000 global brands use Fivetran to move critical business data from SaaS applications, databases, ERPs, and files.

YipitData analyzes billions of data points daily from public web sources to provide institutional investors and corporations with granular insights into digitally-enabled sectors like e-commerce, ridesharing, payments, and streaming. The platform delivers research on 70+ public companies with accuracy within 2% of reported metrics, covering TMT and consumer sectors with differentiated datasets and analyst overlays. YipitData recently expanded into medtech with item-level revenue estimates for 40+ companies, positioning itself as the market leader in high-conviction alternative data for investment decision-making.

Socure is an AI-powered identity verification and fraud prevention platform that processes identity data across 400+ authoritative sources to make real-time verification decisions in milliseconds. The platform serves financial services, fintechs, gaming, healthcare, and e-commerce companies seeking to approve more customers while reducing fraud risk. Socure's self-learning models improve with each verification through feedback from its Risk Insights Network of 2,300+ customers, enabling significantly higher auto-approval rates for underserved demographics like Gen Z and immigrants.

SonarSource provides a unified code quality and security analysis platform that scans over 750 billion lines of code daily across 35+ programming languages. The company offers SonarQube (self-managed and cloud), SonarQube for IDE, and related tools to help engineering teams prevent bugs, vulnerabilities, and code quality issues before they reach production. Used by 75% of Fortune 100 companies and 7M+ developers globally, SonarSource positions itself as the 'clean code' platform combining quality, security, and maintainability—differentiating from point solutions focused solely on security.

ClickHouse is an open-source columnar database management system optimized for real-time online analytical processing (OLAP), enabling complex SQL queries at massive scale with sub-second latency. It achieves hundreds of millions of rows per second throughput—100x faster than competing systems—through its vectorized Merge Tree storage engine and native support for distributed, replicated architectures. The platform serves enterprises handling massive analytical workloads, from event ingestion to interactive dashboards, and is used by companies like Microsoft, Walmart, Tesla, and eBay to process billions of events per minute.

Fractal Analytics is an enterprise AI company that delivers end-to-end data and AI solutions to Fortune 500 companies globally. The platform leverages machine learning, advanced analytics, and decision sciences to process structured and unstructured data, enabling predictive modeling, data visualization, and workflow automation. Fractal helps large enterprises reduce costs, enhance customer experiences, and improve business agility by embedding analytics into strategic decision-making across industries including retail, CPG, and contact centers.

FLYR is an AI-powered revenue management and digital retailing platform serving airlines and hospitality companies. For airlines, it provides offer & order management, dynamic pricing, and ancillary revenue optimization. For hospitality, it delivers AI-driven pricing optimization and revenue strategy tools. FLYR differentiates through hourly price updates (vs. competitors' 4x daily) and automated room-level optimization, helping customers achieve 5-12% RevPAR growth.

Collibra provides a unified Data Intelligence Cloud platform that combines data catalog, governance, lineage, quality, and privacy capabilities into a single source of truth for enterprise metadata. The platform helps large organizations break down data silos and establish clear data ownership and provenance across teams. Built on a graph-based repository, it enables businesses and technical teams to collaborate on data governance while supporting regulatory compliance and data product delivery. Collibra serves Fortune 500 companies like HSBC, Pfizer, and Shell that struggle with data chaos and the need for enterprise-wide data governance.

Devo is a cloud-native security analytics platform that provides SIEM, SOAR, and UEBA capabilities for information security and operations teams. Unlike traditional solutions that index and transform data, Devo stores raw data in hot format with micro-indexing, delivering query results in milliseconds and maintaining 400 days of always-hot data retention. The platform excels at real-time alerting, threat detection, compliance, and fraud prevention, with particular strength in correlating security data for deeper context and faster incident response.

Starburst provides an enterprise-ready SQL query engine built on the open-source Trino project, enabling organizations to query data across multiple sources without moving or consolidating it. The platform decouples compute from storage, supporting on-premises, hybrid, cloud, and multi-cloud deployments through Starburst Enterprise, or cloud-only querying via their SaaS offering Starburst Galaxy. Trusted by enterprises like Comcast, Grubhub, and Priceline, Starburst differentiates with advanced security features, enterprise support, and optimizations that open-source Trino users must build themselves.

Treasure Data is an enterprise customer data platform (CDP) that unifies customer data from 200+ sources into a single, actionable customer profile without requiring a dedicated data warehouse. The platform enables data collection, unification, segmentation, and activation across marketing channels, solving the problem that organizations spend ~80% of their time integrating and processing scattered data. Treasure Data serves over 450 global enterprises including Subaru, AB InBev, and Stellantis, and recently pioneered a 'No Compute' pricing model that decouples costs from processing resources.

Clari is a revenue orchestration platform that uses AI to unify data from 200+ customer-facing enterprise systems—including CRM, email, calendar, marketing automation, and conversations—to deliver predictive forecasting and revenue intelligence. It serves sales, marketing, and customer success teams at enterprise companies like Okta, Adobe, Workday, and Zoom, helping them achieve predictable revenue through AI-driven insights and automated workflows. The platform stands out by capturing time-series activity data across the entire revenue stack and applying continuous AI analysis to guide revenue leaders with forecasts, deal intelligence, and recommended actions.

dbt Labs provides a data transformation platform that turns raw data in data warehouses into analysis-ready datasets through modular SQL queries, testing, and version control. The company offers dbt Core (open-source), dbt Cloud (hosted platform with IDE and job scheduling), and the dbt Semantic Layer for consistent metric management across BI tools. Used by over 40,000 companies including Nasdaq, JetBlue, and Canva, dbt has become the industry standard for analytics engineering in the modern data stack.

H Company builds enterprise AI agents and agentic models capable of autonomously interfacing with software systems to automate complex workflows. The company's Holo3 family of models can understand and interact with any graphical user interface—web applications, desktop software, cloud platforms—to perform multi-step tasks like clicking, typing, and navigation. H's product suite includes Runner H (workflow automation API), Surfer H (web interface automation), and Tester H (automated software testing), claiming 92.2% success rates while reducing operational costs by up to 5.5x compared to OpenAI, Anthropic, and Google. Founded in 2023 by DeepMind veterans and backed by $220M from Eric Schmidt, Amazon, and tier-1 investors, H is positioned as Europe's leading agentic AI startup.

Kueski is Mexico's largest online consumer lender, using machine learning and alternative data (device info, behavioral signals, sociodemographic data) to approve loans in minutes for users without traditional credit history. The platform has disbursed over 30 million loans and operates both a direct lending product (Kueski Cash: $200-$25,000 MXN loans) and a buy-now-pay-later service (Kueski Pay) integrated with major retailers like Walmart and Amazon Mexico. Unlike traditional banks relying on credit bureaus, Kueski evaluates hundreds of unconventional variables to serve the financially underserved, achieving 90% user recurrence and low single-digit delinquency.

Leadfeeder is a B2B website visitor identification and intent data platform that reveals which companies are browsing your site by mapping IP addresses to a proprietary company database. It integrates with Google Analytics and CRM tools to automatically surface high-intent leads that have already shown interest in your services. Unlike outbound lead generation tools, Leadfeeder focuses on inbound intent signals, helping sales teams prioritize warm prospects over cold outreach.

Mixpanel is an event-based product analytics platform that helps companies measure user behavior through detailed event tracking, retention analysis, and funnel visualization. The platform goes beyond traditional page-view analytics to capture specific user interactions like clicks, scrolls, and video plays, providing AI-powered insights into user engagement. Built by former Slide employees who recognized that startups lacked access to sophisticated analytics tools, Mixpanel now serves nearly 20,000 companies including 14% of Fortune 500 companies like Netflix, Uber, and Pinterest.

Dataiku is a centralized AI and data analytics platform that enables organizations to develop, deploy, and manage machine learning models and AI applications at scale. It serves enterprise teams across data science, analytics, and AI governance with tools for data preparation, model building, and responsible AI deployment. The platform bridges the gap between data experts and business users, providing a controlled environment for analytics and AI without requiring deep technical expertise. Customers like Unilever, Morgan Stanley, and J&J use it for use cases ranging from predictive maintenance to supply chain optimization.

Sigma Computing is a cloud-native analytics platform that auto-generates SQL, enabling business users to analyze billions of rows of data directly from cloud warehouses (Snowflake, BigQuery, Databricks, Redshift) using a familiar spreadsheet interface—without writing code or extracting data. The platform eliminates the need for data engineers as middlemen by allowing non-technical stakeholders to self-serve analytics with live, zero-copy query execution. Sigma positions itself as the bridge between spreadsheet simplicity and modern cloud data architecture, combining spreadsheet familiarity with enterprise-grade BI capabilities.

Salsify is a cloud-based product content management platform that helps brands, manufacturers, and retailers manage, optimize, and syndicate product information across e-commerce channels and digital shelves. The platform connects the retail supply chain by centralizing product content (descriptions, images, specs, digital assets) and enabling distribution to marketplaces like Amazon, Walmart, and Instagram. With AI-powered automation and digital shelf analytics, Salsify helps enterprises reduce time-to-market, unify cross-functional teams, and compete effectively in agentic commerce.

GWI is an AI-powered audience intelligence platform that combines survey data from millions of global panelists with advanced analytics to deliver consumer insights at scale. The platform democratizes market research by replacing expensive, slow traditional methods with self-service dashboards, AI-assisted analysis (Agent Spark), and automated presentation generation (Canvas). It serves marketing teams, agencies, and brands across 50+ markets with 200,000+ profiling data points covering demographics, behavior, media consumption, and social trends. GWI differentiates through real-time AI integration, global coverage, and instant insights versus traditional market research's slow turnaround.

CyberCube provides AI-powered cyber risk analytics and modeling software that translates cybersecurity exposures into quantified financial risk for insurance underwriting and portfolio management. The platform serves insurers, reinsurers, and brokers across the cyber insurance value chain, enabling data-driven decision-making beyond traditional underwriting factors like industry and geography. CyberCube's actuarial science combined with big data AI can predict risk multipliers (2x, 10x, 20x) for individual companies, and has demonstrated forecast accuracy within 1% of actual industry loss ratios. The company is trusted by 75% of top 40 US/European cyber insurers and commands over two-thirds of the global cyber reinsurance market by premium.

Tredence is a global data science and AI solutions provider that bridges the gap between insight generation and business value realization. They deliver domain-centric AI/ML solutions across customer analytics, supply chain optimization, MLOps, and data engineering for Fortune 500 enterprises in retail, CPG, healthcare, financial services, and industrials. With $205M in funding and 1,717+ employees, Tredence combines deep industry expertise with agility to embed analytics directly into customer applications and decision-making workflows.

Element451 is an AI-powered CRM platform purpose-built for higher education institutions to automate and personalize student recruitment, admissions, enrollment, and success workflows. The platform deploys AI agents to handle high-volume tasks like application reviews, prospect guidance, and personalized outreach, enabling colleges and universities to scale engagement while reducing staff workload. Serving 300+ institutions, Element451 helps enrollment teams reclaim time for human connection while improving yield and persistence metrics.

Quantexa is a Decision Intelligence platform that connects siloed internal and external data sources to create contextualized views of people, organizations, and events using AI and machine learning. The platform delivers 90% more accuracy and 60x faster model resolution than traditional approaches through proprietary entity resolution and contextual scoring technology. It serves enterprise organizations across financial services, telecommunications, and public sector to automate compliance, detect fraud, and unify customer views without requiring legacy system replacement.

Demandbase is an AI-powered account-based marketing (ABM) platform that helps B2B companies identify high-intent target accounts, engage them across multiple channels, and accelerate revenue growth. The platform combines advertising, marketing orchestration, and account intelligence to show which target accounts are visiting your website, consuming relevant content, and displaying buying signals. With over 2,800 customers including Salesforce, Adobe, and DocuSign, Demandbase unifies fragmented go-to-market data into actionable insights for sales and marketing alignment.

9fin is an AI-native intelligence platform that transforms complex financial data into structured, decision-ready insights for debt market professionals. It combines proprietary data from the world's largest team of private credit journalists with AI-powered workflows and human oversight to help credit teams identify deals, analyze risk, and monitor global debt markets in minutes instead of weeks. The platform serves over 300 leading banks, asset managers, law firms, and advisory firms globally, positioning itself as a modern alternative to legacy systems like Bloomberg and FactSet with a focus on debt markets and AI automation.

Zappi is an AI-powered consumer insights platform that helps enterprise brands test and optimize advertising creative and product innovation in hours instead of weeks. The platform automates traditionally manual market research through pre-built methodologies and compares concepts against 1.2 billion historical data points to predict in-market success. Used by 350+ global brands including PepsiCo and McDonald's, Zappi delivers quantitative consumer feedback within 48-72 hours, enabling faster, data-driven decision-making across marketing and product development.

Dremio is a data lakehouse platform that enables fast SQL analytics on open data storage formats like Apache Iceberg, Amazon S3, and Azure Data Lake Storage without requiring data movement into proprietary systems. It combines the query performance of traditional data warehouses with the cost efficiency and flexibility of cloud object storage. The platform serves enterprises that want to query distributed data in place while maintaining interoperability and avoiding vendor lock-in. Dremio has raised $420M and is trusted by thousands of global enterprises including Shell, TD Bank, Michelin, and FactSet.

Observe is a modern observability platform that unifies logs, metrics, traces, and events in a single data lake powered by AI-driven SRE capabilities. Built on a context graph and data lake architecture using open standards like OpenTelemetry and Apache Iceberg, it enables enterprises to resolve software incidents three times faster at one-third the cost compared to traditional tools. The platform eliminates silos by providing a single language for analysis and unified user interface across all telemetry data. Observe was acquired by Snowflake in 2025, becoming part of the broader data cloud platform.

DoubleVerify is a SaaS measurement and verification platform that independently validates digital ad delivery across the entire ecosystem, including open web, CTV, social media, and commerce networks. The platform certifies ads as viewable, fraud-free, brand-safe, and geo-targeted using proprietary AI and machine learning that processes over 8.3 trillion media transactions annually in 100+ languages. It serves 1,500+ customers including 49 of the top 50 global advertisers, providing both pre-bid avoidance and post-bid monitoring capabilities. DoubleVerify differentiates through its independent verification methodology and unbiased analytics, helping advertisers optimize ad spend and protect brand reputation at scale.

mParticle is a real-time customer data platform (CDP) purpose-built for multi-channel consumer brands to unify data from web, mobile, CRM, and third-party sources. The platform standardizes and enriches data in real-time before activating it across 300+ downstream systems including analytics, marketing automation, and data warehouses. Founded in 2013 with native mobile SDKs as architectural DNA, mParticle differentiates through superior mobile data collection, data quality enforcement (Data Planning), and identity resolution (IDSync). In January 2025, mParticle was acquired by Rokt for $300 million to create a hybrid CDP combining real-time activation with cloud-native analytics.

Wayflyer is a revenue-based financing platform that provides e-commerce merchants with fast, non-dilutive capital ranging from $10,000 to $20 million. The platform uses data-driven underwriting by connecting to Shopify, WooCommerce, Amazon, and ad accounts to assess merchant performance in real time, bypassing traditional credit scores. Merchants repay advances as a percentage of ongoing revenue (typically 5-10% fixed fee) with flexible terms aligned to business cycles, with no personal guarantees or equity dilution. Operating across the US, UK, Australia, and Europe, Wayflyer has funded over 5,000 businesses with $5 billion in total capital since 2019.

Airbyte is an open-source data integration platform that provides 600+ pre-built connectors to sync data from applications, APIs, databases, and data warehouses into centralized destinations. The platform automates data pipeline creation with no-code/low-code connector builders and includes pipeline debugging and monitoring tools. Founded in 2020, Airbyte has become the leading open-source alternative to proprietary solutions, powering 1.2M daily data pipelines for over 40K data engineers.

Anaconda provides a secure, governed platform for open-source Python package management and AI development across the entire lifecycle. The company offers Conda, a dependency and environment manager that ensures reproducibility and compatibility across platforms, solving critical challenges with unvetted packages, dependency conflicts, and security gaps. Trusted by 95% of Fortune 500 companies and 50 million users globally, Anaconda enables enterprises to build and deploy AI systems reliably while maintaining governance and compliance.

DTiQ is a cloud-based business intelligence and loss prevention platform that combines intelligent video analytics with POS data integration to help restaurants and retail locations detect theft, prevent fraud, and identify operational inefficiencies. The platform generates automated 'smart audit' scores that rate store operational effectiveness, working camera-agnostically with existing IP and analog camera infrastructure. DTiQ serves over 37,000 locations globally including major brands like McDonald's, Dunkin, Burger King, and Subway, demonstrating real ROI—one customer recovered $13/hour in prevented theft. The company differentiates by positioning itself as primarily a software/analytics platform rather than a hardware vendor, enabling quick deployment without requiring camera replacement.

Alembic Technologies is a Causal AI platform that connects marketing spend to revenue outcomes with deterministic attribution and forecasting. Using graph neural networks and epidemiological mathematics applied to 2.5M+ data sources, it predicts revenue, close rates, and customer counts up to 2 years in advance with 95% confidence. The platform unifies brand, performance, and omnichannel marketing measurement into a single causal model, eliminating attribution blind spots endemic to traditional marketing analytics.

Monte Carlo is an end-to-end Data + AI Observability Platform that monitors data warehouses, lakes, ETL pipelines, and BI tools to automatically detect anomalies, identify root causes, and alert teams to data issues before they impact business. The platform uses machine learning and baseline-driven anomaly detection to eliminate manual threshold-setting and validation rules. It serves data-driven enterprises like Nasdaq, Honeywell, and Roche who need real-time visibility into data health across their entire stack.

Density uses proprietary depth sensors and AI-powered algorithms to anonymously count people in real-time across physical spaces. The platform helps organizations optimize building utilization, improve workplace efficiency, and enhance occupant experience without capturing personally identifiable information. Unlike camera-based solutions, Density's infrared depth sensing technology delivers 99% accuracy while maintaining privacy, making it the standard for workplace and real estate analytics.

Ardoq is a data-driven enterprise architecture platform that automatically visualizes an organization's entire IT landscape by connecting live data from applications, systems, and business processes. Built on a proprietary graph database, it replaces static architectural diagrams with dynamic, connected insights that map dependencies, model transformation scenarios, and align strategy with execution. The platform enables organizations to tackle application rationalization, portfolio management, and risk management at scale—solving the problem that traditional EA tools create more maintenance burden than strategic value.

FuriosaAI designs and manufactures high-performance, energy-efficient AI accelerators (NPUs) for data center deployments of large language models, multimodal applications, and computer vision workloads. Their flagship RNGD chip delivers 2.25x better inference performance per watt compared to traditional GPUs while consuming only 180W of power. The company serves enterprise customers and hyperscalers seeking cost-effective alternatives to Nvidia GPUs for AI inference at scale.

SparkCognition is an industrial AI company that delivers machine learning solutions for predictive maintenance, anomaly detection, and cybersecurity. The platform uses IoT sensor data and advanced algorithms to predict equipment failures before they occur, identify cyber threats, and optimize operations across industrial assets like turbines, pumps, and generators. SparkCognition serves energy, manufacturing, and maritime sectors, helping operators avoid costly downtime and reduce operational inefficiencies by billions of dollars.

Alation is an agentic data intelligence platform that automatically catalogs, organizes, and makes enterprise data discoverable through machine learning and natural language processing. It solves the critical problem that 60-73% of enterprise data goes unused because teams can't find or understand what data they have. The platform provides end-to-end data lineage, governance, and trust signals across 120+ connectors, enabling data teams to work faster and organizations to unlock trapped analytics value.

Omni is a modern AI-native analytics platform that combines a governed semantic layer with flexible SQL and UI tools for data exploration, visualization, and reporting. It sits between raw data and users, defining metrics, access controls, and calculation rules in one place. Built by Looker and Stitch veterans, Omni resolves the traditional governance vs. agility trade-off in business intelligence, enabling self-service analytics without chaos or siloed SQL exploration.