Startups Directory

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.

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.

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.

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.

Lusha is a B2B data intelligence platform that helps revenue teams find verified contact information, maintain accurate CRM records, and identify buying intent across 300+ million business profiles. The platform delivers contact details and company data directly within tools salespeople use daily—LinkedIn, Gmail, Salesforce—via a Chrome extension and native integrations. Lusha differentiates through intent data integration (via Bombora), AI-powered lead automation (Playlists), and call intelligence features that keep go-to-market data fresh and actionable.

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.

6sense is a predictive intelligence platform that identifies in-market B2B accounts before they contact you by processing billions of intent signals weekly through its proprietary 6AI™ engine and Signalverse™ data network. It combines first-party and third-party data to surface buying signals across anonymous research phases that traditional systems miss. The platform prioritizes accounts by purchase readiness and enables targeted outreach to key stakeholders throughout the sales cycle. It solves the core problem that 83% of B2B buying happens without direct vendor contact.

AppZen is an AI-powered autonomous spend-to-pay platform that automates manual financial processes across expense management, accounts payable, and corporate card monitoring. The platform uses finance-tuned large language models trained on 10+ years of transaction data to audit, approve, and flag policy violations with 95%+ accuracy. It serves enterprise finance teams at 500+ global companies including 65 Fortune 500 firms, delivering $2B+ in documented savings by automating 50%+ of manual work without additional headcount.

Tomorrow.io is a weather intelligence platform that delivers hyperlocal, real-time forecasts and actionable atmospheric insights powered by proprietary satellite data, IoT networks, and AI models. The company serves enterprises across aviation, energy, logistics, and sports that need to mitigate weather-related operational risks and capitalize on opportunities. Tomorrow.io differentiates itself as a software-first company with its own weather models running at ultra-high resolution, rather than a traditional earth observation company selling raw data. The platform includes Gale, a generative AI assistant that synthesizes complex weather data into personalized recommendations.

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.

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.

Cribl is a vendor-neutral observability pipeline that sits between data sources and downstream analytics tools, providing complete control over data collection, filtering, enrichment, normalization, and routing. It helps enterprises reduce observability data volumes by 25%+ while eliminating cloud waste across tools like Splunk and Datadog. The platform abstracts the complexity of managing multiple data sources and destinations, allowing teams to process telemetry data in-flight without vendor lock-in. Cribl serves Fortune 100/500 companies that struggle with exploding observability costs and data sprawl.

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.

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.

CData Software provides data integration and connectivity solutions that enable organizations to seamlessly access and move data across cloud, on-premises, and hybrid environments. The company offers three main business models: CData Sync for data replication, embedded connectors for ISVs, and Connect AI for giving AI systems direct access to enterprise data. Over 7,000 organizations including FedEx, Office Depot, and Salesforce rely on CData to solve complex data connectivity challenges across 350+ systems.

NEC Corporation is a 125-year-old multinational IT and network solutions provider delivering systems integration, cloud computing, AI, IoT platforms, and telecommunications infrastructure to enterprises and governments globally. The company operates through ~15,000 systems engineers providing end-to-end design, development, deployment, and operations support. NEC differentiates through leadership in Open RAN, biometric authentication (Bio-IDIOM deployed in 70+ countries), and a patent portfolio exceeding 45,000 covering AI, 5G/6G, and cybersecurity. It serves diverse sectors including finance, government, healthcare, manufacturing, aerospace, and telecommunications across Japan and internationally.

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.

JUMO is a Banking as a Service platform that uses AI to power financial services in emerging markets. The platform provides end-to-end banking infrastructure (Core) and an AI processor (Unify) that makes credit decisions using non-traditional data points like GSM records and mobile wallet transactions. JUMO enables credit access for entrepreneurs without prior financial history, partnering with mobile network operators and banks across Africa to disburse loans and reach underserved populations.

CloudPay is a global payroll SaaS platform that processes payroll, payments, and workforce management for multinational organizations across 140+ countries. It handles 3+ million payslips annually and over $24 billion in payment transactions, consolidating fragmented payroll processes across geographies, currencies, and regulatory environments. The platform automates calculations, ensures local compliance, and provides centralized visibility into payroll costs and performance. CloudPay serves enterprise customers including Visa, Wayfair, Wells Fargo, Expedia, and the London Stock Exchange.

DataStax provides Astra DB, a cloud database-as-a-service built on Apache Cassandra, along with DataStax Enterprise for on-premises deployments and Astra Streaming for event streaming. It solves the operational complexity of managing distributed databases at scale by automating deployment, scaling, backup, and recovery across multiple cloud regions. The platform enables enterprises to build real-time AI applications with low-latency data access and multi-model support (tabular, search, graph) through a serverless, pay-as-you-go architecture.

Atlan is a metadata platform that transforms data catalogs from static inventories into active governance control planes. It automatically captures column-level lineage, propagates governance context across the modern data stack, and surfaces quality signals inside tools like Snowflake and Databricks. Built for enterprises managing complex data ecosystems, Atlan serves as the missing context layer for enterprise AI, enabling both humans and AI agents to act on trusted data.

MinIO is a high-performance, S3-compatible object storage platform designed for enterprises that need complete control over their data infrastructure. Built for Kubernetes-native deployments across edge, on-premises, and cloud environments, it enables organizations to run their own S3-compatible storage without vendor lock-in. The software-defined architecture optimizes for AI/ML workloads, analytics, and large-scale data processing, with support for objects up to 50TB and deployment flexibility that traditional cloud storage cannot match.

ThoughtSpot is a cloud-based analytics and BI platform that enables business users to search, explore, and analyze large datasets in real-time without requiring technical expertise or IT assistance. The platform uses AI and machine learning to provide automated insights and recommendations, powering self-service data analysis across enterprise organizations. It serves both internal analytics use cases and customer-facing embedded analytics through separate product lines. ThoughtSpot has grown to 1,000+ customers including NVIDIA, Capital One, Hilton, and Unilever, with $4.2B valuation as of late 2021.

Domino Data Lab provides an enterprise MLOps platform that unifies data science teams, tools, and infrastructure to industrialize AI at scale. It replaces fragmented workflows with a seamless lifecycle management system—from data exploration through model deployment, monitoring, and governance. The platform serves highly regulated enterprises (20% of Fortune 100) with open-source tool support, automatic versioning, and flexible deployment options. What differentiates Domino is its focus on organizational discipline and reproducibility rather than individual data scientist productivity.

Redpanda is a Kafka-compatible streaming data platform built from the ground up to be 10x faster, lighter, and simpler than Apache Kafka. It eliminates external dependencies like JVM and ZooKeeper while offering built-in schema registry, HTTP proxy, and WebAssembly-based data transforms. The platform powers real-time data processing for enterprises like Activision Blizzard, Cisco, and Moody's, with a strategic focus on the Agentic Data Plane for AI-driven applications.

Imply provides a real-time analytics platform built on Apache Druid, enabling organizations to analyze streaming and batch data with sub-second query response times. The platform serves enterprises that need interactive analytics at scale, processing millions of events per second across petabytes of data. Unlike traditional data warehouses that struggle with latency and cost at scale, Imply's analytics-in-motion approach delivers fast, scalable, cost-effective insights on event-driven data.

Statsig is a unified experimentation and feature management platform that enables product teams to run A/B tests, deploy features safely via feature flags, and analyze user behavior without redeploying code. The platform combines feature flagging, experimentation, session replay, and analytics into a single workflow, with a warehouse-native option that operates within customers' existing data infrastructure like Snowflake and BigQuery. Used by companies like Notion, Microsoft, Brex, and Electronic Arts, Statsig accelerates product innovation by democratizing experimentation across developers, PMs, and designers. The company has achieved $40M ARR and raised $153.4M at a $1.1B valuation.

Firebolt is a cloud data warehouse built for sub-second query performance on massive datasets at high concurrency. It decouples metadata, storage, and compute to enable independent scaling, allowing organizations to run complex SQL queries on petabyte-scale data with millisecond latency. The platform supports diverse workloads from batch analytics to customer-facing AI applications, with real-world customers like Similarweb querying petabytes in production while ingesting terabytes daily.

Devo is a cloud-native security data platform that provides real-time logging, SIEM, SOAR, and UEBA capabilities powered by AI. The platform ingests streaming data from applications, infrastructure, IoT devices, and logs, then correlates and analyzes it to accelerate threat detection and response. Devo's micro-indexing technology stores data in raw format with extended retention of up to 400 days, differentiating it from traditional legacy SIEM solutions. The platform serves large enterprises seeking to replace on-premise security infrastructure with cloud-first, AI-enhanced security operations.

Immuta automates sensitive data discovery, security, and access control across multiple cloud data platforms using attribute-based access control (ABAC) and privacy-enhancing technologies. The platform enables organizations to identify sensitive data, enforce dynamic policies, and monitor data activity at scale across AWS services, Snowflake, Databricks, and other data platforms. Founded by a former U.S. Army intelligence officer, Immuta serves enterprises handling regulated data who need to reduce manual policy management by 75X while maintaining compliance with GDPR, CCPA, and other privacy regulations.

Xanadu develops photonic quantum computing hardware and software platforms that operate at room temperature, eliminating the extreme cooling requirements of competing approaches. The company offers Aurora, a 12-qubit universal photonic quantum computer, alongside software tools like Pennylane for quantum programming and Lightning for high-performance simulation. Its continuous-variable encoding approach provides inherently higher tolerance to manufacturing imperfections, enabling faster progress toward quantum advantage. Xanadu serves defense, aerospace, pharmaceutical, semiconductor, and automotive sectors through cloud-based access and direct partnerships.