Startups Directory

16 funded startups. Filter by industry or funding round. Updated weekly.

Showing 16 of 16
Company Round Amount Date Industry Location
Verkada
Verkada is an AI-powered, cloud-native security platform that unifies video surveillance, access control, alarms, intercoms, and air quality monitoring through a single integrated software interface called Verkada Command. Built by Stanford founders and a Meraki veteran, it replaces legacy hardware-based security systems with a modern, subscription-based model where sensors stream to secure cloud infrastructure with hybrid architecture for continuous operation during outages. The platform processes over 20 million images per hour to provide actionable insights like occupancy rates, foot traffic patterns, and security violations across enterprise campuses.
Series D $205M 2022-09-15 Enterprise Software United States
Thought Machine
Thought Machine builds Vault Core, a cloud-native core banking platform that enables banks to run any financial product they design using smart contracts and a real-time ledger architecture. Unlike legacy monolithic systems, Vault Core is cloud-agnostic, microservices-based, and allows banks to migrate existing products while innovating new ones without disruption. The company also offers Vault Payments for global payment processing. Backed by tier-1 banks including JPMorgan Chase, ING, and Lloyds Banking Group as both customers and investors, Thought Machine has become the infrastructure layer modernizing legacy banking systems.
Series D $160M 2022-05-19 Enterprise Software United Kingdom
Kore.ai
Kore.ai is an enterprise conversational and agentic AI platform that enables organizations to build, deploy, and operate AI agents for customer service, employee support, and business process automation. The platform combines conversational AI, generative LLMs, RAG, and workflow orchestration to create intelligent virtual assistants that integrate with existing enterprise systems like Salesforce, NICE, and Genesys. Trusted by Global 2000 companies including PNC, AT&T, Cigna, and Coca-Cola, Kore.ai delivers significant ROI through automation—with customers reporting 30-80% reductions in agent workload and inquiry resolution times.
Series D $150M 2024-01-30 Artificial Intelligence (AI) United States
Cloudbeds
Cloudbeds is an all-in-one cloud-based hospitality management platform that unifies reservations, channel management, revenue optimization, and guest experience tools for independent hotels, hostels, and property managers. The platform synchronizes inventory and rates across 300+ OTAs in real-time and uses AI-powered pricing intelligence to maximize revenue. Used by 26,000+ properties across 157 countries generating $15B+ in annual room sales, Cloudbeds differentiates through tight integration of operations and distribution rather than modular APIs.
Series D $150M 2021-11-03 Enterprise Software United States
Monte Carlo
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.
Series D $135M 2022-05-24 Enterprise Software United States
Ardoq
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.
Series D $125M 2022-03-09 Cloud Management Norway
Silverfort
Silverfort provides agentless, proxyless Runtime Access Protection (RAP) that extends MFA, risk-based authentication, and Zero Trust policies across all enterprise systems—on-premise, cloud, and legacy applications—without requiring endpoint or application modifications. It integrates directly with existing Active Directory and identity systems to analyze authentication risk in real-time and enforce MFA on resources previously unprotectable by traditional solutions. Silverfort serves over 1,000 enterprise customers globally and differentiates through its ability to protect legacy, custom, and command-line tools that competitors cannot cover.
Series D $116M 2024-01-23 Enterprise Software Israel
Rescale
Rescale is an enterprise cloud simulation platform that enables research scientists and engineers to run high-performance computing (HPC) workloads—including finite element analysis (FEA), computational fluid dynamics (CFD), and AI simulations—on their choice of cloud providers without infrastructure setup or maintenance. The platform automates hybrid cloud orchestration with built-in security, architectural controls, and financial governance. Engineers can configure complex engineering analyses for computation in minutes via a web browser, dramatically reducing time-to-market for product design cycles. Rescale serves 300+ customers including 7 of the top 10 automakers, 7 of the top 10 aerospace companies, and 3 of the top 6 life science companies.
Series D $115M 2025-04-07 Artificial Intelligence (AI) United States
Labelbox
Labelbox is a data-centric AI platform that helps AI teams and Fortune 500 enterprises create, manage, and iterate on high-quality labeled training data at scale. The platform combines a collaborative annotation software with managed labeling services and generative AI automation (Foundry) to reduce the time and cost of producing training data. It processes petabytes of multimodal data and serves over 80% of Fortune 500 AI teams, positioning itself as a command center for the entire ML training data iteration loop.
Series D $110M 2022-01-07 Artificial Intelligence United States
SirionLabs
SirionLabs is an AI-native contract lifecycle management (CLM) platform that extracts, normalizes, and organizes contract data across the entire contract lifecycle—from negotiation through post-signature performance monitoring. The platform delivers 85% faster contract insights and validates invoices against contract terms to reduce overpayments and disputes. Built for large enterprises managing complex buy-side and sell-side contracts, SirionLabs differentiates itself by providing visibility into contract performance and relationships, not just storage, while integrating seamlessly with Salesforce, SAP, and other enterprise systems.
Series D $110M 2023-01-04 Artificial Intelligence United States
Heap
Heap is a cloud-based product analytics platform that automatically captures all user interactions across web, mobile, and cloud applications without requiring manual tagging or engineering effort. Unlike legacy analytics tools, Heap enables retroactive analysis of customer behavior and provides automated insights into user paths, friction points, and conversion drivers. The platform serves B2B SaaS companies that need fast, comprehensive analytics without the overhead of traditional event-based tracking systems.
Series D $110M 2021-12-07 Enterprise Software United States
Imply Data, Inc.
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.
Series D $100M 2022-05-17 Analytics United States
Horizon3.ai
Horizon3.ai provides NodeZero, an autonomous penetration testing platform that safely executes real attack techniques at scale without agents or network disruption. The platform discovers and exploits vulnerabilities by chaining attack paths together—exactly as real attackers would—across internal networks, external surfaces, cloud infrastructure (AWS, Azure, Kubernetes), and web applications. Built by veterans in tech and military, it's trusted by 3,000+ organizations including Fortune 500 companies and national defense partners who need continuous proof of their security posture.
Series D $100M 2025-06-11 Artificial Intelligence (AI) United States
ControlUp
ControlUp ONE is an Autonomous Endpoint Management (AEM) platform that unifies digital employee experience (DEX) monitoring, remediation, and AI-powered support across virtual desktops, physical endpoints, and cloud environments. It provides IT teams real-time visibility into performance metrics, user sessions, and applications with proactive troubleshooting and no-code automation capabilities. The platform serves large enterprises managing complex hybrid IT environments, with customers including four of the top five U.S. health insurance companies and over 50 Fortune 100 companies. ControlUp differentiates through specialized VDI endpoint monitoring, script-based automation, and autonomous remediation workflows powered by agentic AI.
Series D $100M 2021-11-10 Information Technology United States
Horizon3
Horizon3.ai provides NodeZero, an autonomous penetration testing platform that continuously simulates real-world attacks without agents or human intervention. The SaaS solution safely executes attack chains across AWS, Azure, and Kubernetes infrastructure to show exactly how attackers compromise systems and what data they access. Organizations use it to verify security fixes in production and stay ahead of evolving threats at scale.
Series D $100M 2025-06-11 Artificial Intelligence (AI) United States
Snorkel AI
Snorkel AI is a data development platform that enables enterprises to programmatically label and curate training data for AI systems, including LLMs and RAG pipelines. Rather than expensive manual labeling, it uses labeling functions that encode expert intuition through heuristics, legacy models, and LLM calls to scale data preparation. Used by Fortune 500 companies, top US banks, and government agencies to build production AI applications faster and more cost-effectively. It represents a shift toward data-centric AI, where high-quality labeled data is the bottleneck rather than model architecture.
Series D $100M 2025-05-30 Artificial Intelligence (AI) United States