Startups Directory

Exein develops embedded runtime security that integrates directly into device firmware to detect and prevent threats in real-time at the kernel level. The platform uses eBPF-based observability and AI-driven behavior analysis to protect IoT, industrial, automotive, and aerospace devices without degrading performance or requiring hardware changes. Unlike traditional endpoint security that detects breaches after compromise, Exein blocks malicious execution paths before they can run, eliminating entire attack classes at the edge.

Verda is a vertically integrated AI cloud infrastructure provider that manages the entire stack from physical servers and data centers to developer tools for building and deploying AI workloads. The company offers GPU instances, bare-metal clusters, and managed endpoints for AI inference at up to 90% lower cost than hyperscalers. Built by experienced cloud entrepreneurs, Verda targets AI developers and teams who need production-grade GPU resources with a developer-first experience and no sales friction.

Coralogix is a full-stack observability platform built on proprietary Streama© technology that analyzes logs, metrics, traces, and security events in real-time without requiring indexing or hot storage. The platform serves engineering teams at scale who need instant insights and long-term trend analysis while reducing observability costs by up to 70%. Unlike traditional solutions that separate real-time alerting from historical analysis, Coralogix uniquely solves both through in-stream processing using Kafka and Kubernetes, enabling dynamic alerting and anomaly detection without external datastores.

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.

Enfabrica develops specialized networking chips and systems that solve critical data movement bottlenecks for AI and machine learning workloads at hyperscale. Their Accelerated Compute Fabric (ACF) SuperNIC chip delivers multi-terabit Ethernet connectivity and memory disaggregation, enabling GPUs, CPUs, and memory to communicate 4x faster than competing solutions. Built by former Broadcom and Google infrastructure leaders, the company bridges PCIe/CXL memory semantics with RDMA networking to reduce AI processing costs and improve efficiency.

Turing is a three-pronged AI platform founded in 2018 that works with frontier AI labs to advance LLM reasoning and coding capabilities, builds enterprise AI applications for Fortune 500 companies, and operates a talent cloud of 4M+ vetted software engineers and data scientists. The company powers its services through an AI-driven vetting and matching engine plus ALAN, a fine-tuning platform for model development. Turing has evolved from a remote engineering hiring marketplace into a critical infrastructure player in AGI advancement and enterprise AI deployment.

Reka is an AI research and product company that develops multimodal AI models capable of understanding text, images, video, and audio natively. The company builds frontier AI models that match or exceed competitors like GPT-4 and Gemini Ultra while requiring significantly less computational power. Reka serves enterprises and government organizations through products like Reka Core (multimodal model), Reka Vision (video/image analysis platform), and Reka Research (agentic AI for information synthesis). What differentiates them is their focus on efficiency—achieving state-of-the-art performance with orders of magnitude lower compute demands than competitors.

CAST AI is a machine learning-powered platform that automatically optimizes Kubernetes clusters and cloud infrastructure in real time, reducing cloud costs by 50% or more while improving application performance and security. Unlike competitors that merely monitor and recommend fixes, CAST AI actively implements optimizations across AWS, Azure, GCP, and on-premises environments. The platform uses advanced ML algorithms to continuously analyze workload behavior, automate resource allocation, and eliminate waste through intelligent bin packing and pod scheduling.

Persivia is an AI-powered population health management platform that unifies clinical, claims, social, and operational data from hundreds of sources into a single longitudinal patient record. The platform serves hospitals, health systems, payers, and ACOs managing value-based care contracts by automating risk stratification, care coordination, eligibility determination, and clinical decision-making. It analyzes over 1,600 data points per patient to achieve 90% accuracy in identifying high-cost patients and forecasting hospitalization risks. Persivia differentiates by managing the entire care lifecycle from risk identification through point-of-care intervention with comprehensive, vendor-agnostic data integration.

Blaize provides a full-stack edge AI platform combining purpose-built hardware (GSP-based processors delivering 16 TOPS inference at 7W power) with a no-code/low-code software suite (AI Studio) for rapid deployment. The platform enables real-time AI inference at the network edge with 60% greater efficiency and 10x lower latency than cloud-optimized alternatives. Serving automotive, surveillance, retail, and industrial automation verticals, Blaize eliminates the complexity of deploying AI on power- and thermally-constrained devices.

Qventus develops AI-powered automation software that optimizes healthcare operations across inpatient and perioperative settings. The platform uses generative AI, machine learning, and behavioral science to predict bottlenecks, automate administrative tasks, and recommend interventions for hospital care teams. Health systems using Qventus reduce patient length of stay by up to one day, recover 20-35% of excess bed days, and achieve 10X average annualized ROI. The company functions as an 'AI teammate' integrated with existing enterprise systems like EHRs, surfacing data and automating workflows without replacing staff.

Eudia is an AI-powered legal intelligence platform that creates a 'Company Brain' by digitizing institutional legal knowledge from contracts, templates, and playbooks. It deploys specialized AI agents called MINDs to handle complex legal tasks like contract redlining and M&A due diligence, reducing review times from hours to minutes. The platform is purpose-built for Fortune 500 in-house legal teams, integrating into existing workflows via Microsoft 365, ServiceNow, and iManage while encoding how organizations actually make legal decisions.

Antithesis is a deterministic simulation testing platform that automatically validates software reliability by running fully automated, massively parallel simulations of entire system architectures in a controlled environment. It compresses months of production behavior into hours, injecting faults and exploring edge cases to uncover bugs before they reach production. The platform's key differentiator is complete determinism—any failure discovered can be perfectly reproduced, eliminating flaky tests and enabling engineers to diagnose even rare production mysteries. It's trusted by high-stakes organizations like Jane Street, Ethereum, and MongoDB where software failures carry significant consequences.

Together AI is an AI Acceleration Cloud platform that enables developers and enterprises to train, fine-tune, and deploy generative AI models with 2-3x faster inference than hyperscalers. Supporting 200+ open-source models across all modalities, it provides the complete AI lifecycle from training to inference without vendor lock-in or infrastructure management burden. The platform powers 450,000+ AI developers and enterprises including Salesforce, Zoom, and SK Telecom with enterprise-grade security, model ownership, and performance.

Recogni develops AI inference processors that deliver 10x higher compute density, 10x lower power consumption, and 13x lower cost per query compared to GPU-based solutions. The company applies proprietary logarithmic number system (LNS) technology to enable efficient inference at scale for generative AI and autonomous vehicle applications. Recogni targets cloud data centers and automotive OEMs seeking to reduce the power, cooling, and infrastructure costs of AI deployment.

DevRev is an AI-native enterprise software platform that unifies customer data and automates work through OneCRM (a purpose-built CRM for SaaS teams) and Computer (an AI agent that powers enterprise workflows). The platform connects developers, support, product, and sales teams on a single system by using proprietary knowledge graphs and real-time data synchronization. DevRev targets SaaS companies looking to increase product velocity, reduce customer churn, and consolidate fragmented business tools.

InMobi is a full-stack mobile advertising platform that combines a demand-side platform (DSP) for advertisers, a supply-side platform (SSP) and exchange for publishers, AI-powered audience targeting, and privacy-compliance tools. The company serves brands, app marketers, and publishers across in-app, mobile web, and emerging channels with programmatic, data-driven media buying. Beyond advertising, InMobi operates Glance, an AI-powered content discovery platform for smartphone lock screens that has achieved unicorn status separately.

Cyberhaven is a unified data security platform that combines DSPM, DLP, insider risk management, and AI security with deep data lineage capabilities. It records every event for every piece of data—every move, copy, edit, and share—across endpoints and cloud applications to provide complete visibility into how data moves throughout an organization. The platform delivers 95% fewer false positives than traditional DLP solutions and enables customers to investigate incidents up to five times faster. Founded by five PhD researchers, it's trusted by top 5 North American banks, Fortune 500 companies, and highly regulated enterprises.

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.

FundGuard is a cloud-native, AI-powered investment accounting platform that serves as a core system of record for asset managers and fund administrators. It automates complex multi-asset accounting workflows, real-time NAV monitoring, and exception management across multiple books of record (IBOR, ABOR, X-BOR). The platform uses machine learning to automatically map financial data from any format (CSV, Excel, XML, screenshots) and transform accounting from reactive to proactive, reducing operational risk and manual effort.

TensorWave is an AI and HPC cloud platform built on AMD Instinct GPUs that accelerates LLM training, inference, and research workloads without the supply constraints and premium pricing of NVIDIA. The platform leverages AMD's physical GPU partitioning for true hardware isolation and includes direct liquid cooling that reduces data center energy costs by up to 51%. With 192GB of VRAM per GPU, customers can fine-tune massive models like 405B parameter LLMs on single 8-GPU nodes. TensorWave targets enterprises seeking high-performance compute with dedicated infrastructure, managed inference services, and autoscaling capabilities.

Inspiren is an AI-powered platform that unifies resident safety, care planning, staffing, and emergency response for senior living communities. The system combines proprietary hardware (the AUGi care companion device using geometric exoskeletal monitoring) with integrated software to detect falls, behavioral risks, and care utilization patterns in real-time while preserving resident privacy. Deployed across 230+ senior living communities, Inspiren has demonstrated measurable clinical outcomes including fall reduction and timely emergency response, with customers like Arrow Senior Living and Heritage Communities achieving 86% reductions in bedroom-related falls with injury.

You.com is an AI-powered search and agent platform that solves hallucination in large language models by grounding them with real-time, accurate web and private data. The company provides enterprise-grade search APIs and AI tools designed for AI agents and knowledge workers who need trustworthy, contextual information at scale. Founded by former Salesforce chief scientist Richard Socher, You.com has pivoted from consumer search toward B2B enterprise sales, serving finance, biotech, legal, and academic sectors with privacy-first infrastructure built for the agentic era.

Decart is an AI research lab building the fastest and most efficient generative AI models for real-time video generation and manipulation. Their flagship products—Oasis (real-time AI game world) and Mirage (live video editing via text prompts)—achieve 10x better efficiency than competitors like OpenAI's Sora, reducing inference costs from $100/hour to $0.25/hour. The company combines a proprietary LLM inference engine (built from scratch in C++ and CUDA) with advanced video generation capabilities, serving developers, enterprises, and streaming/gaming platforms.

DataSnipper is an intelligent automation platform that embeds directly into Excel, allowing auditors to extract data from unstructured sources (invoices, bank statements, documents) with automatic reconciliation and complete audit trails. Used by 600K+ professionals across all Big Four accounting firms and 175+ countries, it solves the manual, error-prone work of matching and verifying financial data. The platform's key differentiator is working within Excel workflows rather than forcing migration to new systems, enabling rapid adoption and high user loyalty.

EnCharge AI develops analog in-memory computing hardware that performs AI computations directly within memory cells, eliminating energy-intensive data movement between processing and storage. The company's EN100 accelerator delivers 200+ TOPS of AI compute in an 8.25W power envelope for laptops and workstations, achieving up to 20x better performance per watt than competing solutions. Available in M.2 and PCIe form factors, EN100 brings advanced AI capabilities to edge devices and client platforms with unprecedented efficiency.

Basis builds AI agents that autonomously execute complex accounting workflows end-to-end, including tax return preparation, audit testing, and reconciliation tasks. The platform ingests data from accounting systems and ERPs, performs analysis and calculations, and delivers finished work for human review. Top accounting firms use Basis to shift their teams from execution to review, achieving 20-50% efficiency gains across tax, audit, and advisory practices.

Dataminr is an AI platform that analyzes over 1 million public data sources—including text in 150 languages, images, video, and sensor data—to detect breaking events, emerging risks, and threats in real-time. It processes nearly 500,000 daily events and alerts users to critical information across physical, digital, and cyber domains before mainstream media or traditional sources. The platform serves enterprise, government, and media organizations seeking early warning signals of high-impact incidents. Dataminr differentiates through multimodal AI fusion, global scope covering 100+ countries, and speed of detection that has repeatedly beaten traditional news by hours.

Hammerspace is a metadata-driven data orchestration platform that sits above file and object storage systems, providing a unified global namespace for accessing unstructured data across on-premises and public cloud infrastructure. Rather than storing data itself, it acts as a software layer that enables enterprises to access files regardless of storage type, vendor, or location while optimizing performance for AI and HPC workloads. The platform automatically transitions data between high-performance Tier 0 storage during compute-intensive operations and cost-efficient object storage during idle periods, eliminating GPU idle time caused by data bottlenecks.

Osapiens is a cloud-based, AI-powered compliance and operations automation platform that helps large enterprises manage supply chain compliance, sustainability, and regulatory requirements at scale. The platform integrates with existing ERP systems like SAP and Microsoft Dynamics, offering no-code workflow builders, real-time monitoring, and pre-built compliance modules for regulations like EUDR, CSDDD, and Germany's Supply Chain Due Diligence Act. With over 2,500 customers worldwide, Osapiens positions itself as the go-to solution for distributed organizations needing coordinated process management and audit readiness across complex operations.

Cognigy.AI is a low-code conversational AI platform that enables enterprises to automate customer and employee communications through intelligent voice- and chatbots across any channel (web, phone, SMS, mobile). The platform combines Large Language Models with structured logic workflows, allowing organizations to deploy sophisticated AI agents capable of independent decision-making while maintaining precise intent recognition. Available as SaaS or on-premise, it supports multilingual conversations and integrates seamlessly with backend systems. Now part of NICE following a $955M acquisition in September 2025.

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.

Dream Security is an AI-native cybersecurity platform purpose-built for governments and critical infrastructure operators requiring sovereign deployment capabilities. The company's proprietary cyber language model—trained on threat intelligence datasets rather than general-purpose LLMs—automates threat detection, prediction, and response while operating entirely within national infrastructure, including classified and air-gapped systems. Dream transforms raw data into actionable threat narratives and defense strategies, with a founding team combining Israeli cyber expertise (NSO Group co-founder), Austrian political leadership, and IoT intelligence experience.

Supabase is an open-source backend-as-a-service platform that provides developers with a PostgreSQL database, authentication, instant APIs, real-time subscriptions, edge functions, and storage—all accessible through a web interface. It eliminates backend infrastructure setup, allowing developers to focus on frontend development while maintaining full control over their data through self-hosting capabilities. The platform has become the default backend for AI coding tools like Bolt and Lovable, and serves over 4 million developers including 36% of recent Y Combinator batches.

Clay is a data enrichment and automation platform that enables sales and growth teams to find, research, and personalize outreach to leads at scale. It functions as a smart spreadsheet that orchestrates data from 150+ sources, applies AI-powered workflows for enrichment and content generation, and automates prospecting without manual labor. Clay uses signal-led prospecting to identify buyers based on real-world triggers like funding rounds or hiring, making personalized outreach possible without expensive tools or manual work.

Spring Health delivers precision mental healthcare to employers and health plans using machine learning to match individuals with the right care modality—whether digital support, therapy, coaching, or medication. The platform has transformed traditional Employee Assistance Programs (EAPs) into data-driven solutions that achieve first appointments in under two days and improve outcomes 5.9 weeks faster than competitors. Spring Health guarantees measurable ROI: cost neutrality in year 1, 1.5x ROI by year 2, and 2x ROI by year 3, with customers achieving 21% net savings on mental healthcare spend.

Sakana AI develops foundation models using evolution-inspired techniques and collective intelligence to create domain-specific AI systems with minimal computational overhead. The company automates the entire AI development lifecycle through products like AI Scientist (automated research discovery) and Sakana Fugu (multi-agent model orchestration), serving enterprises in finance, defense, and research. Unlike traditional approaches requiring massive GPU clusters, Sakana's evolutionary model merge technique discovers optimal model combinations through natural selection, dramatically reducing energy consumption while achieving state-of-the-art performance.

Laurel is an AI-native time intelligence platform that passively captures digital work activity and uses firm-specific large language models to automatically generate structured, compliant time entries and billing narratives. Built specifically for enterprise professional services firms, it eliminates manual timekeeping while helping lawyers and accountants recover an average of 28 billable minutes per day—translating to 4-11% profit increases. Laurel is the first and only company applying generative AI to enterprise timekeeping, processing over $4.4 billion in professional time annually.

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.

AIRIA is an enterprise AI platform that unifies orchestration, security, and governance in a single solution, enabling organizations to build, deploy, and govern AI agents and automated workflows at scale. The platform provides a model-agnostic control layer with an Agent Builder supporting no-code, low-code, and pro-code development, plus out-of-the-box connectors for enterprise systems like Salesforce, Microsoft OneDrive, and Slack. AIRIA differentiates by eliminating tool sprawl—delivering all three dimensions (orchestration, security, governance) in one unified platform rather than stitching together disconnected point solutions.

Majestic Labs builds Prometheus, a custom AI server that solves the memory wall problem by disaggregating memory from compute, enabling up to 128 TB of ultra-fast, power-efficient memory per server—nearly 100x more than leading GPU servers. The system allows organizations to run multi-trillion-parameter LLMs, mixture-of-experts models, and agentic AI systems in a single unit while dramatically reducing power consumption and infrastructure costs. Built by veteran silicon architects from Meta and Google, the company targets hyperscalers and enterprises that need to deploy massive AI models efficiently.

Parallel Web Systems builds APIs that enable AI agents to reliably access and reason over real-time web data. The company's Deep Research API and complementary tools (Search, Extract, Task, FindAll, Monitor) are optimized to feed clean, verified content directly into AI context windows, reducing hallucinations and operational costs. Founded by former Twitter CEO Parag Agrawal, Parallel serves enterprise customers including banks, hedge funds, insurance companies, and AI-native platforms that need AI systems to perform complex research and automation tasks at scale.

ZaiNar provides real-time sub-meter positioning and location intelligence using patented phase-based signal processing and sub-nanosecond time synchronization on existing radio infrastructure. The system achieves sub-10cm accuracy indoors, outdoors, and through walls without GPS, operating system permissions, or device manufacturer cooperation. It serves enterprises and carriers across healthcare, construction, smart cities, and industrial sectors, with over $450M in contracts and deployments on multiple continents.

Emergence builds mission-critical agentic infrastructure for enterprises, enabling verified and governed AI agents that plan, reason, and act across complex systems. Their flagship Emergence Orchestrator is an autonomous meta-agent that intelligently routes tasks to optimal AI models, with a core innovation called 'Agents Creating Agents™' that allows systems to autonomously build, train, and deploy new agents recursively. The company positions itself as research-heavy with cross-vendor compatibility as a key differentiator, serving use cases from semiconductor design to enterprise operations automation.

PhotoRoom is an AI-powered product photography platform that automates image editing for e-commerce sellers. It uses deep learning to remove backgrounds, generate AI backgrounds and shadows, expand scenes, upscale images, and create product photos from scratch—all without requiring Photoshop expertise. The platform serves e-commerce businesses, marketplaces, and creative teams at scale, with APIs integrated by Shopify, Netflix, and Warner Bros. PhotoRoom's focus on simplicity and speed distinguishes it from broader photo editing tools like Photoshop.