anomaly-detection
(25)
Groundup.ai
Groundup.ai is a Singapore-based industrial AI company that helps asset-heavy operators prevent unplanned machine downtime. It pairs proprietary, magnetic-mount IoT sensors - which capture vibration, temperature and sound - with an agentic AI platform called GINA to move maintenance from reactive firefighting to a predictive, self-monitoring discipline it brands as Cognitive Maintenance. Founded by serial entrepreneur Leon Lim, the company serves manufacturing, maritime, defense, oil & gas and infrastructure clients across Asia and the Middle East.
Brainchain AI
Brainchain AI is a New York-based artificial intelligence company that scans the world's public data in near real time to predict and mitigate global supply chain disruptions. Its platform combines natural language processing, language modeling and time-series forecasting to spot anomalies across news, government regulations, financial markets and commodity reports, then helps global brands and governments position ahead of price dislocations and keep supply and demand in balance. Founded in 2023 and led by CEO Roman Vintfeld, the company has raised roughly $1.89M to build what it describes as an 'immune response' for the world's supply chains.
ORION Security
ORION Security is an AI-native data loss prevention (DLP) company that protects enterprises from data leaks without relying on manually written policies. Founded in 2024 by Nitay Milner and Jonathan Kreiner, ORION uses large language models and specialized AI agents to map how data normally flows across SaaS, email, cloud, endpoints, and AI tools, then analyzes content sensitivity, user identity, behavioral intent, and data lineage to catch exfiltration and insider threats in real time. The platform targets the three core sources of data loss - human error, malicious insiders, and external attackers - while cutting the false positives and maintenance burden that plague legacy DLP.
Trustmi
Trustmi is a behavioral AI platform for payment security that helps enterprises stop socially engineered fraud and costly payment errors before money moves. Founded in 2021 by Shai Gabay and Eli Ben Nun, the company correlates signals across email, vendors, financial documents and payment workflows to build vendor 'digital fingerprints' and deliver a real-time safe/unsafe decision across the entire payment lifecycle. Trustmi says it protects over $240 billion in payments annually and has helped prevent more than $1 billion in fraud.
Vantage
Vantage is a New York-based cloud cost management platform that helps engineering and finance teams analyze, report on, and reduce their cloud, SaaS, and AI spend. Founded in 2020 by former DigitalOcean and AWS product leaders, Vantage consolidates billing data from AWS, Azure, Google Cloud, Kubernetes, and 20+ providers - including OpenAI and Anthropic - into a single self-service interface built for developers, not just FinOps specialists.
Avanseus
Avanseus is a Singapore-based artificial intelligence company that builds predictive maintenance software for telecommunications and industrial IoT networks. Its flagship Cognitive Assistant for Networks uses a patented unsupervised learning algorithm to forecast network faults and degradations days in advance and to surface likely root causes, letting operators fix problems before customers feel them. Founded in 2015, the company was acquired by Accenture in February 2026 to strengthen Accenture's push toward autonomous telecom networks.
Kloudfuse
Kloudfuse is a Cupertino-based observability company that unifies metrics, logs, traces, real user monitoring, continuous profiling, and LLM monitoring into a single observability data lake that runs inside a customer's own cloud (VPC) rather than a vendor SaaS. Founded in 2022 by veterans of Springpath, Nicira, VMware, and Cisco, it pitches an OpenTelemetry-native, AI/ML-powered platform that gives enterprises data ownership and 60-80% cost savings versus incumbents like Datadog. It launched out of stealth in November 2023 with $23M in funding and is used by companies including GE HealthCare, Zscaler, Tata 1mg, and Automation Anywhere.
Nixtla
Nixtla is a San Francisco time-series intelligence company best known for TimeGPT, one of the first production-ready foundation models built specifically for forecasting and anomaly detection. It started as the open-source Nixtlaverse - libraries like StatsForecast and NeuralForecast with tens of millions of downloads - and now sells an enterprise platform that lets organizations forecast demand, detect anomalies, and support decisions with a few lines of code, on-premises or in the cloud.
Vivity AI
Vivity AI is an industrial AI company building software that connects the physical factory floor to real-time machine intelligence. Its containerized Vivity Edge platform plugs into standard PLCs, IIoT sensors and CCTV systems to run computer-vision and anomaly-detection models on-site - powering Safety AI for accident prevention and Analytics for equipment failure detection. Founded in 2022 with offices in the San Francisco Bay Area and Seoul, the company targets heavy industries like petrochemicals, energy, shipbuilding and heavy manufacturing, and is backed by South Korean strategic investor Hanwha Systems and Plug and Play.
Yotascale
Yotascale is a Palo Alto-based cloud cost management and FinOps platform that helps enterprises allocate, optimize, budget and forecast their spend across AWS, Azure, Google Cloud and Kubernetes. Founded in 2015 by former PayPal platform-engineering head Asim Razzaq, the company takes an engineering-first approach to the 'spend attribution problem,' tying cloud costs back to the teams and services that generate them so engineers, finance and executives can share accountability. It is used by companies such as Zoom, Hulu, Okta and other Fortune 1000 firms, and has raised roughly $25 million to date.
Auguria, Inc.
Auguria is a cybersecurity AI company that builds the Security Knowledge Layer (SKL), a vector-based platform that ingests the flood of logs, events, and telemetry that security teams collect, then denoises, classifies, and prioritizes it - filtering out roughly 99% of the noise so analysts can focus on the ~1% of events that actually matter. Founded in 2022 by Keith Palumbo and Chris Coulter and emerged from stealth in March 2024 with $6.5M in seed funding from SYN Ventures and SentinelOne's S Ventures, Auguria plugs into existing SIEM and data-lake infrastructure to cut security data costs and surface threats others miss.
Roboto AI
Roboto AI is a Seattle-based analytics platform for robotics and Physical AI teams. It ingests multimodal robot logs - ROS bags, PX4/ULog, MCAP, Parquet, video - and uses AI agents plus a Python SDK and CLI to automatically search, analyze, and surface edge cases, anomalies, and failures across entire robot fleets. Founded in 2022 by former Amazon Robotics leaders Benji Barash and Yves Albers-Schoenberg, the company spun out of the Allen Institute for AI and raised a $4.8M seed to help robotics developers stop digging through petabytes of sensor data by hand.
Pathway
Pathway builds infrastructure for live AI - systems that think and learn in real time instead of being frozen at training. Its source-available Python framework powers high-throughput, low-latency ETL, stream processing, real-time analytics, and RAG/LLM pipelines that stay continuously in sync with sources like SharePoint, Google Drive, S3, Kafka, and PostgreSQL. The company is also developing BDH (Baby Dragon Hatchling), a post-transformer frontier model aimed at solving continual learning and long-horizon reasoning. Pathway is trusted by organizations including NATO, La Poste, and Formula 1 teams.
Scry AI
Scry AI is a bootstrapped enterprise artificial intelligence company founded in 2014 by Dr. Alok Aggarwal and headquartered in San Jose, California. It builds AI products that turn messy enterprise data into intelligence - intelligent document processing, anomaly and fraud detection, IoT-based predictive maintenance, conversational AI, and data lineage mapping - for finance, insurance, energy, manufacturing, and government clients. Profitable without venture funding, it reports roughly $28.4M in revenue and has appeared on the Inc. 5000 list multiple years running.
ControlRooms.ai
ControlRooms.ai is an Austin-based industrial AI company that builds an AI-assisted troubleshooting platform for heavy industry - chemical, energy, and materials producers. Instead of relying on static, pre-programmed rules, its software learns a plant's normal behavior on its own and flags anomalies in real time across thousands of sensor parameters, helping operators catch small problems before they become unplanned trips, flaring events, or costly downtime. Founded in 2021 by serial AI entrepreneur Monte Zweben and Omar Talib, the company raised an oversubscribed $10M Series A in 2023 led by Origin Ventures and is live at industrial leaders including OCI Global and Ardagh Group.
Monte Carlo
Monte Carlo is the data and AI observability company that pioneered the 'data observability' category. Its platform helps enterprises detect, resolve, and prevent data and AI quality issues - what the company calls 'data downtime' - by monitoring data pipelines end to end, mapping lineage, surfacing anomalies, and tracing root causes. Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo serves 400+ enterprises including PepsiCo, Cisco, Nasdaq, and Comcast, and has raised $236M at a valuation of roughly $1.6B.
Jim Bartoo
Jim Bartoo is the CEO and a board member of Visual Action Software, a Texas-based enterprise visualization company built on patented Flaremap treemap technology that helps organizations spot threats, monitor performance, and reduce risk. A Cornell-trained engineer with an MBA from the same school, he spent more than 25 years across Oracle, Business Objects, and EDS before leading The Hive Group and engineering its 2015 merger that formed today's Visual Action.
Monte Zweben
Monte Zweben is the co-founder and CEO of ControlRooms.ai, an AI troubleshooting platform for chemical and energy plants. A serial entrepreneur and AI pioneer, he ran NASA Ames' artificial intelligence branch (winning a Space Act Award for Space Shuttle work) before founding a string of companies: Red Pepper Software (merged into PeopleSoft), Blue Martini Software (which IPO'd at roughly $2.9 billion), and Splice Machine. He trained at Carnegie Mellon under AI legends Geoffrey Hinton, Herbert Simon and Allen Newell, holds a Stanford master's, co-authored the textbook Intelligent Scheduling, and now also advises AI Fund and sits on the board of Haven Safety AI.
Visual Action Software
Visual Action Software builds operational visualization tools for organizations drowning in big data. Its patented Flaremap technology - a descendant of the treemap - powers the Visual Action Platform, turning dense, real-time data into visual interfaces that help analysts spot threats, monitor performance, and reduce risk. The company serves defense and national intelligence, financial services, healthcare, and core infrastructure customers from its base in Orchard Park, New York.
Userful
Userful is a software company that turns the wall of screens in a control room or lobby into something you manage from a browser. Its Infinity Platform delivers AV over standard IP networks, replacing racks of proprietary matrix-switching hardware with software that distributes any source to any display. Used by more than 1,000 organizations, including 50-plus Fortune 500 firms, Userful focuses on mission-critical environments where seeing the right data at the right moment matters - operations centers, transportation hubs, factories, and corporate signage.
Abacum
Abacum is an AI-native financial planning and analysis (FP&A) platform built for the office of the CFO. Founded in 2020 by former finance operators Julio Martinez and Jorge Lluch, it pulls financial and operational data into one place so finance teams can forecast revenue, model scenarios, plan headcount, automate reports, and trade spreadsheet drudgery for strategic decision-making. Backed by Scale Venture Partners, Atomico, Y Combinator and others, Abacum has raised over $90M and serves hundreds of mid-market companies across 31 countries, including Strava, Aiven, JG Wentworth and Mastercam.
Incognia
Incognia is a location identity and fraud prevention company that uses device intelligence, location behavioral analytics, and AI to help platform businesses — from food delivery to financial services — detect fraud without compromising the user experience. By processing signals from GPS, Wi-Fi, and Bluetooth without capturing PII, Incognia identifies legitimate users from fraudsters across multiple devices with 99.999999% accuracy, a 0.0001% false-positive rate, and no friction for genuine users. Deployed on over 200 million smartphones and protecting nearly 1 billion devices, Incognia has become the go-to fraud layer for platforms like Grubhub, Delivery Hero, and Upwork.
Instrumental Inc.
Instrumental is a manufacturing AI and data platform that helps brands like Meta, NVIDIA, Cisco, and Bose catch defects on the factory floor by aggregating images and signals from production lines and running discovery-driven machine learning on them. Founded by ex-Apple engineers, the company turns the noisy, siloed world of high-mix electronics assembly into a searchable, controllable dataset.
Raptor Maps
Raptor Maps builds the operating system for utility-scale solar. Its cloud platform combines drone thermography, digital twins, AI anomaly detection, and asset-performance analytics so solar owners, operators, and OEMs can find faults, plan maintenance, and squeeze more energy out of every panel across hundreds of sites.
Dan Hendrycks
Dan Hendrycks is the Executive Director of the Center for AI Safety (CAIS), the UC Berkeley PhD who created MMLU - the benchmark that shaped how the world measures AI intelligence - and invented GELU, the activation function running inside BERT, GPT, and virtually every major AI model. From a rural evangelical town in Missouri, he's become one of AI safety's most consequential voices, advising Elon Musk's xAI and Scale AI while sounding alarms about civilizational-scale AI risk, accepting $1/year to keep his independence intact.