Berkeley SkyDeck

Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.

Cyder provides an end-to-end loyalty platform that enables credit unions to issue, redeem, and integrate white-labeled rewards into everyday banking. It also develops a customer data trust platform that allows consumer brands to collect real-time, actionable data directly from customers without surveys, supporting personalized marketing, growth, and empowerment of customers. By combining loyalty and data trust capabilities, Cyder helps financial institutions deliver tailored reward experiences while enabling brands to deepen customer insights.

Datalogz is a company that specializes in a platform designed for data discovery and understanding, focused on reducing data ambiguity from various sources. Its platform offers a suite of features, including a data catalog, data lineage, data governance, and a data glossary. These tools empower data scientists and analysts to utilize AI-driven recommendations, thereby enhancing project quality and minimizing inefficiencies in workflows. By streamlining the data management process, Datalogz aims to facilitate better decision-making and foster a clearer understanding of data across organizations.

Cerevox is a developer of data management software that assists users in finding, verifying, and trusting answers from large datasets comprising various file types. The company offers an artificial intelligence-based platform that allows developers to ingest unstructured data and transform it using large language models. This platform features a no-code interface, which simplifies the processing of unstructured data by eliminating the need for extensive data engineering skills. By accommodating diverse document layouts and locations, Cerevox enhances operational efficiency while ensuring security and compliance for businesses.

Algorized develops a data-centric AI software platform for people sensing, capable of tracking and sensing individuals at a distance without wearables, including vital signs such as heart rate. The platform runs machine learning algorithms at the edge and uses existing ultra-wideband radar sensors to enable automotive and industrial applications. It is sensor-agnostic, providing accurate human detection, people flow analytics, demographics, and vital-sign data to support safe collaboration between people and machines. The solution enables industries to deploy cost-effective, scalable people sensors without hardware upgrades.

Our AI Supervisor is an advanced, AI-powered platform designed to streamline the workflow of frontline workers. It automates routine tasks, provides instant access to information, and offers real-time training, making it an indispensable tool for increasing efficiency and improving decision-making. Tailored specifically for dynamic work environments, our AI Supervisor supports seamless communication and task management, ensuring that every team operates at peak productivity

Datalogz is a company that specializes in a platform designed for data discovery and understanding, focused on reducing data ambiguity from various sources. Its platform offers a suite of features, including a data catalog, data lineage, data governance, and a data glossary. These tools empower data scientists and analysts to utilize AI-driven recommendations, thereby enhancing project quality and minimizing inefficiencies in workflows. By streamlining the data management process, Datalogz aims to facilitate better decision-making and foster a clearer understanding of data across organizations.

Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.

Featureform is a company that specializes in developing machine learning tools tailored for the pharmaceutical and biotechnology sectors. It offers an open-source virtual feature store that enables data scientists to define, manage, and serve machine learning features throughout their organizations. The platform provides a unified interface to connect, transform, and join both streaming and batch data, facilitating the discovery and integration of features created by various teams. This functionality allows organizations to share features and enhance their machine learning models. Additionally, Featureform monitors and analyzes these features, offering the capability to freeze them, which allows teams to concentrate on building models that support efficient data pipelines.

Finclude is a company that has developed a pan-European credit scoring system aimed at enabling businesses to evaluate consumers' creditworthiness based on their transactional behavior, irrespective of their credit history. The platform aggregates and interprets transactional data from various banks, allowing for a comprehensive assessment of an individual's affordability and creditworthiness. This innovative approach assists customers in making informed credit decisions by providing a clearer view of potential borrowers' financial behaviors and capabilities. Finclude's solution addresses the limitations of traditional credit scoring methods, thereby expanding access to credit for a broader range of individuals.

MindsDB is an open source company that designs an automated machine learning platform, enabling users to ask predictive questions of their data and receive accurate answers. The MindsDB platform automates the steps required to generate reliable predictions, effectively turning a database into an automated data science capability. It supports a broad range of applications, including credit scoring, customer lifetime value optimization, direct marketing, fraud detection, inventory management, predictive maintenance, price modeling, product personalization, and risk assessment. MindsDB serves industries such as retail, financial services, high tech and manufacturing, healthcare, energy, and insurance. Founded in 2017 and based in Berkeley, California, the company aims to democratize machine learning and make advanced analytics accessible across teams.

Founded in 2017, ImmunoMind develops an AI-based platform that enhances drug discovery using single-cell immunogenomics technologies. Its products include Immunarch AI for precision drug discovery and Immunarch, an open-source R package for bioinformatics explorations.

DeWaste is a company focused on minimizing food waste through innovative technology and analytics. It utilizes computer vision to collect real-time data on food waste in dining institutions, analyzing both kitchen waste and leftovers. By deploying cameras that capture images of food waste, DeWaste identifies the types of food being discarded, allowing clients to generate daily insights and reports aimed at reducing waste. Additionally, the company offers the DeWaste Network, which connects food producers with purchasers, such as grocery stores and restaurants. This platform facilitates the trading of excess food items, helping producers minimize waste and enabling purchasers to acquire food at lower costs, particularly during challenging times like the COVID-19 pandemic. Overall, DeWaste combines data-driven insights with a collaborative network to tackle the issue of food waste effectively.

VCfund.me is a data-driven venture capital fundraising platform. It is an ultimate matching platform for the startup industry. At its core is a revolutionary AI-powered matching engine for companies and investors built around a comprehensive, proprietary industry database. It uses state of the art algorithms that keep improving with the use of machine learning. It is designed as a community-driven data platform, not just a directory, where community members can enjoy many benefits.

We are building P2P data marketplaces in high impact verticals, such as compensation. SalaryMonk.com is our first product.

Prophecy.io offers a data transformation copilot that assists users in developing, deploying, and monitoring data pipelines across cloud platforms. The platform integrates AI and a visual interface to enhance productivity for various data users, enabling them to manage complex data workflows with ease.

Privacee develops a data-protection management tool that allows clients to create private documents. The company was founded in 2018 and is based in Essen, Germany.

DatakaLab, established in 2016 and headquartered in Paris, France, specializes in developing algorithms for accurate traffic counting and segmentation by genre and age range, along with assessing attention levels. The company's core business involves providing compression techniques and AI acceleration methods that facilitate the shift of vision-based output counting solutions from cloud to edge devices, thereby reducing costs and enhancing data processing speed. DatakaLab operates a neuromarketing system designed to analyze and decipher consumer emotions using neuroscientific and artificial intelligence-powered tools. This enables businesses to optimize customer knowledge and drive brand transformation strategies more effectively and cost-efficiently through precise embedded computer vision.

DocuVision Inc. is a technology company that specializes in developing automated tools for businesses to manage sensitive information. Founded in 2019 and based in Berkeley, California, the company offers AI-powered solutions that facilitate the redaction and discovery of personally identifiable information (PII) in documents and emails. Its tools automatically identify, index, and remove sensitive data, assisting legal, marketing, and privacy teams in complying with data protection regulations. DocuVision’s offerings include privacy management solutions for legal and data subject access requests, as well as security measures for unstructured data.

Grovf specializes in developing Field Programmable Gate Array (FPGA) based solutions for enhancing data processing and network performance. Founded in 2017, the company serves cybersecurity and financial industries with products like GCache, GRegex, and MonetX. Grovf operates from Berkeley, California.

MindsDB is an open source company that designs an automated machine learning platform, enabling users to ask predictive questions of their data and receive accurate answers. The MindsDB platform automates the steps required to generate reliable predictions, effectively turning a database into an automated data science capability. It supports a broad range of applications, including credit scoring, customer lifetime value optimization, direct marketing, fraud detection, inventory management, predictive maintenance, price modeling, product personalization, and risk assessment. MindsDB serves industries such as retail, financial services, high tech and manufacturing, healthcare, energy, and insurance. Founded in 2017 and based in Berkeley, California, the company aims to democratize machine learning and make advanced analytics accessible across teams.

Clyme Health is a health software developer focused on enhancing the lives of individuals affected by tick-borne infections, particularly Lyme disease. The company systematically collects data regarding each person's unique diagnostic and treatment experiences, facilitating the aggregation of insights and test results. By sharing this information, Clyme Health aims to improve treatment outcomes not only for individuals but also for the broader community. This data-driven approach enables healthcare providers and researchers to evaluate the effectiveness of various treatments and advance personalized medicine strategies, ultimately contributing to better care and understanding of tick-borne illnesses.

DiscreetAI is a developer of a decentralized machine learning platform focused on privacy-preserving technologies for mobile, web, and server applications. The company creates open-source developer tools that facilitate machine learning while ensuring data privacy, security, and compliance. By enabling training on decentralized datasets, DiscreetAI allows organizations to leverage larger data pools without compromising sensitive information. This approach is particularly beneficial for Fortune 500 companies that face real-world challenges involving private data. The platform's architecture ensures that data remains on its host, thus enhancing the feasibility of training models without centralization, and supports the development of secure online marketplaces for big data transactions.

Feature Store for Machine Learning

Genetic Foresight’s mission is to prevent adverse drug reactions, increase therapeutic success rates, and minimize healthcare costs by enabling clinicians to make informed decisions. Founded in 2016, Genetic Foresight provides a genetic test that sequences targeted segments of patients' genomes as well as a comprehensive prescription decision platform that incorporates drug-genome, drug-drug, drug-disease, personal health, lifestyle, and medical and family histories to predict drug response. This allows the clinician to more safely and effectively prescribe medication based on the patient. The report is updated based on newly generated research, newly created drugs, and newly prescribed drugs, making it a lifetime test.

ResultCare, Inc., established in 2013 and headquartered in San Francisco, California, operates within the healthcare industry as an AI-driven clinical informatics and data analytics company. Founded by physicians and scientists from UCSF, ResultCare focuses on enhancing medical decision-making by providing a collaborative platform that eliminates uncertainties in clinical practices. The company has developed one of the largest clinical databases globally, leveraging machine learning and natural language processing to facilitate an evidence-based approach in identifying optimal and cost-effective laboratory and diagnostic tests. ResultCare's platform supports healthcare providers by utilizing real-time research data to improve the reproducibility of medical practices and to identify trends that help optimize care delivery, ultimately aiming to enhance patient outcomes while controlling costs.

Genomelink operates a digital genetic analysis platform that lets individuals upload their raw DNA data to generate reports on traits, wellness, ancestry, and nutrition. The service translates genomic information into user-friendly interpretations for personal exploration and genetic self-knowledge. It emphasizes data privacy by upholding user ownership of data, implementing ISO-certified security, and offering options to delete data. The company positions itself as a consumer-focused provider of accessible, detailed genomic insights, supporting informed health and lifestyle decisions while ensuring control and transparency over personal genetic information.

Attacklytics is a developer of a data-driven web-based analytic platform that aims to transform web application security through enhanced context awareness and reduced false positives. The company focuses on addressing the shortcomings of traditional web application firewalls, which often require extensive tuning and management, incur high costs, and lack extensibility. Attacklytics offers a lightweight, high-performance web application defense platform that integrates a robust data engine with industry-leading data analytics capabilities. This platform is designed to record and analyze data traffic, including penetration test and bug bounty insights, allowing users to effectively assess vulnerabilities and improve security measures.

DeepVu specializes in generative AI solutions aimed at enhancing supply chain efficiency, sustainability, and profitability for enterprises across various sectors. The company develops advanced decision models utilizing reinforcement learning and deep learning techniques, which provide actionable recommendations tailored to improve key business performance indicators. DeepVu's software is designed to optimize multiple aspects of supply chain operations, including inventory management, sales and operations planning, and logistics decisions. By employing digital twins that simulate various scenarios and integrating an extensive vertical-specific knowledge graph, DeepVu captures and analyzes both internal data and external factors, such as commodity fluctuations and macroeconomic trends. This comprehensive approach enables clients to boost their supply chain resilience and margin competitiveness by deriving valuable insights from their data.

Vyrill is a technology company that builds an AI‑powered platform for discovering, analyzing, and leveraging user‑generated video content. Its core product enables brands, retailers, and solution providers to search inside any video on the web or mobile, index and rank video moments, and embed interactive widgets that drive customer acquisition, engagement, and conversion. The platform aggregates videos such as demos, unboxing, reviews, and installation guides from multiple sites, provides analytics and licensing tools, and generates marketing assets like hashtags and product recommendations. Founded in 2015 and headquartered in San Francisco, Vyrill helps businesses turn authentic video experiences into measurable growth.

Leada, Inc. is a company that specializes in providing online courses focused on data analysis and data science. Founded in 2014 and based in Berkeley, California, Leada offers training content designed for professors, as well as programs tailored for businesses to enhance their employees' data skills. The courses are distinguished by their integration of industry-based projects and virtual instructor support, facilitating a practical learning experience. By equipping professionals with essential programming skills and tools such as SQL, R, and Python, Leada aims to streamline data-related tasks within organizations, thereby reducing reliance on dedicated data teams and accelerating decision-making processes.