Haystack

Haus operates a marketing science platform designed to assist brands in optimizing their marketing investments. It enables companies to conduct geographical experiments and measure the incremental impact of their marketing efforts, focusing on real business outcomes rather than traditional metrics. The platform supports data-driven decision-making regarding revenue, customer acquisition, and other key performance indicators, even in dynamic privacy environments.

Nominal specializes in providing a robust engineering data infrastructure platform tailored for hardware engineers. The company focuses on bridging the gap between machines and human experts by ingesting, analyzing, and visualizing mission-critical hardware data from various sources. This enables engineers to gain valuable insights, make reliable decisions, and streamline their workflows efficiently. Nominal's solutions are designed to enhance the reliability and speed of validating critical systems, making it an essential tool for modern hardware teams.

Nominal specializes in providing a robust engineering data infrastructure platform tailored for hardware engineers. The company focuses on bridging the gap between machines and human experts by ingesting, analyzing, and visualizing mission-critical hardware data from various sources. This enables engineers to gain valuable insights, make reliable decisions, and streamline their workflows efficiently. Nominal's solutions are designed to enhance the reliability and speed of validating critical systems, making it an essential tool for modern hardware teams.

OpenMeter is a developer of a monetization platform that specializes in implementing usage-based pricing for various digital services, including AI, APIs, and infrastructure consumption such as logs, Kubernetes, S3, and databases. The company's platform is designed to maximize revenue by providing users with valuable insights and tools, including sales opportunities, customer trend analysis, price simulation, and revenue forecasting. OpenMeter's integration capabilities with existing tools further enhance its offering, enabling businesses to effectively manage and optimize their pricing strategies based on actual usage.

Polar Signals is a continuous profiling platform focused on enhancing application and infrastructure performance through detailed analytics over time. The company provides a system for collecting and systematically storing profiling data, enabling users to query and analyze this information with statistical significance. By employing low-impact profiling techniques, Polar Signals ensures that performance metrics are gathered consistently across various infrastructures. This capability allows clients to identify optimization opportunities confidently, ultimately helping them reduce cloud expenditures and improve operational efficiency. The platform not only aids in understanding incidents but also enhances performance by pinpointing critical areas, known as hot paths, for enhancement.

Integral is a digital workflow management tool designed for the healthcare sector, focusing on enhancing data processing and collaboration. By utilizing a data intelligence platform, Integral enables healthcare providers to access de-identified data quickly, transforming analysis from a lengthy process into one that can be completed in hours. This capability allows companies to gain valuable insights that inform innovative business decisions. Integral's services prioritize transparency, speed, and flexibility, positioning the company as a leader in automating expert certification and improving decision-making in the healthcare industry.

Haus operates a marketing science platform designed to assist brands in optimizing their marketing investments. It enables companies to conduct geographical experiments and measure the incremental impact of their marketing efforts, focusing on real business outcomes rather than traditional metrics. The platform supports data-driven decision-making regarding revenue, customer acquisition, and other key performance indicators, even in dynamic privacy environments.

CloudQuery is an open-source cloud asset inventory platform that leverages SQL to address compliance, security, and visibility challenges in cloud environments. By transforming cloud infrastructure into a queryable format, the platform facilitates easy monitoring, governance, and security for developers. CloudQuery enables businesses to effectively manage their query operations, providing tools for the normalization, exposure, and oversight of cloud resources. Through its innovative approach, CloudQuery supports organizations in enhancing their cloud infrastructure management and analysis capabilities.

Gridlines is reimagining the snipping tool. It is a desktop application that allows to snip over charts, tables, and text and get the underlying data.

Schoolytics is a K-12 analytics and AI platform designed to measure, monitor, and manage student data effectively. The platform focuses on student engagement and performance tracking, aiming to support all stakeholders in the educational process in making informed decisions. By tracking daily student engagement and measuring progression and overall learning outcomes, Schoolytics provides educational institutions with valuable insights into student learning. The platform's data tables facilitate quick access to information, enabling schools to monitor student engagement and performance over time, ultimately enhancing the educational experience.

CloudQuery is an open-source cloud asset inventory platform that leverages SQL to address compliance, security, and visibility challenges in cloud environments. By transforming cloud infrastructure into a queryable format, the platform facilitates easy monitoring, governance, and security for developers. CloudQuery enables businesses to effectively manage their query operations, providing tools for the normalization, exposure, and oversight of cloud resources. Through its innovative approach, CloudQuery supports organizations in enhancing their cloud infrastructure management and analysis capabilities.

Polar Signals is a continuous profiling platform focused on enhancing application and infrastructure performance through detailed analytics over time. The company provides a system for collecting and systematically storing profiling data, enabling users to query and analyze this information with statistical significance. By employing low-impact profiling techniques, Polar Signals ensures that performance metrics are gathered consistently across various infrastructures. This capability allows clients to identify optimization opportunities confidently, ultimately helping them reduce cloud expenditures and improve operational efficiency. The platform not only aids in understanding incidents but also enhances performance by pinpointing critical areas, known as hot paths, for enhancement.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

CognitOps is a computer software company focused on enhancing warehouse management through its innovative prescriptive analytics platform. By integrating predictive analytics and machine learning, CognitOps transforms traditional operational practices, replacing manual processes such as Excel spreadsheets with automated analytics dashboards. This technology empowers operations managers and supply chain executives to monitor key performance indicators in real-time, optimize labor allocation, and streamline order fulfillment. The platform analyzes data from existing warehouse systems, providing insights that help operators design optimal facility layouts and adapt to changing conditions. With a low-IT-lift cloud implementation, CognitOps enables companies to significantly reduce labor costs and enhance warehouse efficiency within a short timeframe.

CognitOps is a computer software company focused on enhancing warehouse management through its innovative prescriptive analytics platform. By integrating predictive analytics and machine learning, CognitOps transforms traditional operational practices, replacing manual processes such as Excel spreadsheets with automated analytics dashboards. This technology empowers operations managers and supply chain executives to monitor key performance indicators in real-time, optimize labor allocation, and streamline order fulfillment. The platform analyzes data from existing warehouse systems, providing insights that help operators design optimal facility layouts and adapt to changing conditions. With a low-IT-lift cloud implementation, CognitOps enables companies to significantly reduce labor costs and enhance warehouse efficiency within a short timeframe.

SysGit creates a setting for engineering collaboration that reduces conflict when analyzing, managing, or designing complex systems. The company created a workflow for inclusive digital engineering that makes it simple to integrate different data sets from various design systems and tools. Prewitt Ridge's product Verve is an engineering collaboration environment that eases friction in complex systems. Within the tools where they are created, Verve records and manages engineering requirements for large, complex datasets.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

Fiddler Labs, Inc. is a company that specializes in developing an artificial intelligence platform designed to help businesses analyze, manage, and deploy their machine learning models effectively. Founded in 2018 and headquartered in Palo Alto, California, Fiddler offers an Explainable AI Engine that promotes transparency and understanding in AI solutions. This platform allows users across data science, product, and business teams to comprehend, validate, and manage their AI implementations, ensuring that these systems deliver reliable and trustworthy experiences for end-users. By providing statistical metrics, performance monitoring, and centralized controls, Fiddler aims to make AI more accessible and trustworthy for enterprises, ultimately unlocking the complexities of AI and enhancing user confidence in its applications.

CognitOps is a computer software company focused on enhancing warehouse management through its innovative prescriptive analytics platform. By integrating predictive analytics and machine learning, CognitOps transforms traditional operational practices, replacing manual processes such as Excel spreadsheets with automated analytics dashboards. This technology empowers operations managers and supply chain executives to monitor key performance indicators in real-time, optimize labor allocation, and streamline order fulfillment. The platform analyzes data from existing warehouse systems, providing insights that help operators design optimal facility layouts and adapt to changing conditions. With a low-IT-lift cloud implementation, CognitOps enables companies to significantly reduce labor costs and enhance warehouse efficiency within a short timeframe.

Betterview is a property intelligence platform that enables property and casualty insurers to effectively analyze, score, manage, and monitor property risk. By leveraging geospatial data and proprietary machine learning technology, Betterview transforms complex data into actionable insights, enhancing decision-making throughout the policy lifecycle. The platform aims to identify and mitigate risks while improving operational efficiency and inspection processes. Additionally, it fosters a more transparent customer experience, allowing insurers to automate critical functions such as pricing, underwriting, and renewal. Through its innovative approach, Betterview supports insurers in focusing their strategic efforts on high-risk properties, thereby enhancing overall risk management.

People Data Labs specializes in providing high-quality B2B data for developers, engineers, and data scientists, offering access to 3 billion precise records. The company enables its clients to create and enhance person profiles, enrich existing data, and power predictive modeling and artificial intelligence initiatives. Their platform serves a variety of applications, including sales and marketing, investment research, fraud detection, talent acquisition, and market research. By acting as a data partner to data science and engineering teams, People Data Labs supports the development of innovative and efficient data-driven products and services. The company aspires to be the definitive source of truth in B2B data, catering to both enterprises and startups across various data-enabled industries.

Shape Analytics is a San Francisco-based company that specializes in intelligence and predictive analytics for workforce data. As a subsidiary of Reflektive, Inc., Shape integrates people data from various sources within an organization, offering comprehensive reporting and insights. Its platform enables human resource leaders, people managers, and employers to access real-time analytics through customizable dashboards. This functionality helps organizations make informed decisions regarding their workforce, ultimately enhancing employee performance and engagement. Leading companies utilize Shape Analytics to optimize their people-related strategies and drive better organizational outcomes.

Remix Technologies is a San Francisco-based company founded in 2014 that specializes in public transit planning and street design. Its platform serves over 4,000 urban planners in more than 300 cities across three continents, providing a comprehensive tool for managing public transit and new mobility solutions. By integrating critical datasets from various sources, Remix enables users to visualize existing conditions and gain insights that inform decision-making. The platform allows planners at transit agencies and local governments to create and manage transit maps and routes, facilitating the exploration of innovative concepts while balancing the needs of transit, biking, walking, and vehicle traffic. This focus on data-driven planning aims to enhance transportation safety, accessibility, and equity in urban environments.