Data management & analytics startups understand that data is a valuable resource – often a company’s most valuable resource – and strive to unlock its true potential, through in-depth analysis and interpretation. This is more than understanding a spreadsheet; this is a full deep dive into the data, how it integrates, where it comes from and what it all means – and more importantly, what it can project.
These top 25 Data management & analytics startups all work towards this goal in one way or another – some more general, some highly specialised, yet each have something to offer the marketplace.
Ahana
Ahana is a Californian startup working to bring PrestoDB-based ad hoc analytics provisions to market. Presto is an open-source SQL query engine for accelerating database queries from a range of data sources, which is significant for business analytics involving huge volumes of data. Ahana’s mission is to streamline ad hoc analytics for organisations at all levels.
Ashish Tadose, David Simmen, Dipti Borkar, George Wang, Steven Mih, Vivek Bharathan
Total funding: $24.8m
Web: https://ahana.io/
Aumni
Aumni is an investment analytics platform providing VC firms with a solution to increase competitive edge and operational efficiency. The platform combines AI and human expertise to analyse critical deal data, extracted from dense legal agreements. Aumni’s platform is suitable for private capital markets such as venture funds, family offices, university endowments, and corporate venture firms.
Anthony Lewis, Kelsey Chase
Total funding: $63m
PopSQL
PopSQL is a modern SQL editor, surpassing legacy alternatives such as DataGrip, DBeaver, and Postico. Designed for data-focused teams, it streamlines processes, enhances data accuracy, accelerates onboarding, and delivers insights quickly. PopSQL offers an intuitive data model understanding, version-controlled SQL, live collaboration, data visualization, reporting tools, and query organization. It facilitates collaboration across SQL power users, junior analysts, and less technical stakeholders, complementing larger BI tools like Tableau and Looker. PopSQL is compatible with macOS, Windows, and Linux and supports numerous databases, including Snowflake, Redshift, and BigQuery.
Founded: 2017 – San Francisco, California, US
Rahil Sondhi
Total funding: $34.8m
Web: https://popsql.com/
Bodo.ai
Bodo.ai is an extreme-performance parallel compute platform for data analytics, scaling past 10,000 cores and petabytes of data with unprecedented efficiency and linear scaling. The San Francisco-based startup is helping F500 clients to solve some of the world’s most complex data analysis problems using their Python Supercomputing Analytics Platform. Bodo’s extreme performance time makes it up to 100x faster than the alternatives, while still retaining the simplicity of native Python development.
Behzad Nasre, Ehsan Totoni
Total funding: $14m
Web: https://bodo.ai
Cazana
Cazana analyses millions of automotive transactions with big data and analytics to offer a comprehensive view of the global motor market. Cazana uses data analytics to accurately assess the value and risk associated with vehicles. These systems are employed by manufacturers, finance companies, dealerships, and insurers globally, to provide vehicles to the modern automotive consumer who wants to access, not own their vehicles.
DataChat
DataChat is a developer of a novel Conversational Intelligence platform. With Datachat’s unique Conversational Intelligence technology, the user can carry out a conversation with their data to obtain meaningful insights. DataChat’s Conversational Intelligence simplifies the process of instruction, allowing users to naturally express a sequence of complex analysis tasks in natural language. The platform’s data analytics engine works in real-time, enabling the user to conduct rapid analysis.
Jignesh Patel, Jignesh Patel, Rogers Jeffrey Leo John
Total funding: $29m
Web: https://datachat.ai
Growth Intelligence
Growth Intelligence is a startup using AI and predictive analytics to offer a software-as-a-service product to B2B corporations to help corporations meet specific requirements. Growth Intelligence is the only UK company using machine learning to offer new, in-market B2B marketing targets. Growth Intelligence’s platform can identify requirements for every company’s product or service, and then prioritises them according to the strength of that requirement.
Prashant Majmudar, Thomas Gatten
Total funding: $5.6m
Hoxton Analytics
Hoxton Analytics develops cloud computer vision software that uses data analytics and A to digitise and automate processes in physical spaces. Users utilise the software to count foot traffic and live occupancy of rooms and buildings, enabling customers in venues, events, museums, and retail to set alerts and optimise how their space is used. Users can ultimately automate processes that take place in the physical world.
Owen McCormack, William Thomas
Total funding: $1.6m
Imply
Imply is a startup pioneering a new type of data analytics – ‘analytics-in-motion’. With analytics-in-motion, companies replace static and expensive solutions with analytics solutions that are scalable, real-time, and cost-effective. Imply is a multi-cloud data platform designed to deliver real-time ingestion and visualisations for event-driven and streaming data flows. Imply is built on Apache Druid, an open-source database, created by the same founders as Imply, to enable next-generation, real-time analytics solutions.
Fangjin Yang, Gian Merlino, Vadim Ogievetsky
Total funding: $115.3m
Web: https://imply.io
Kevala
Kevala is an analytics startup whose aim is to create a cleaner future for energy, by providing data-driven insights combining proprietary analytics with advanced grid mapping. The Kevala team consists of dedicated scientists, engineers, and energy wonks who are hoping to improve the evolving energy market. The founder of Kevala, Aram Shumavon’s vision is to create an electrified world with a more robust and sustainable power grid that incorporates new distributed energy and storage.
Aram Shumavon, Brad Bordine
Total funding: $21m
Kinetica
Kinetica’s platform is made up of a combination of historical and streaming data analysis with powerful location intelligence and AI for instant results. The information can be accessed via API and SQL, for instant results. Kinetica’s data analytics are used across a variety of organisations for immediate insights, such as automotive, energy, telecommunications, retail, healthcare, and financial services.
Amit Vij, Nima Negahban
Total funding: $77.4m
Littledata
Littledata is an eCommerce analytics connector for Shopify stores. Littledata automates eCommerce analytics; empowering managers to make data-driven decisions to accelerate growth efficiently. Littledata makes it easy to track KPIs at each consumer milestone by automatically connecting marketing channels such as Facebook, consumer analytics like Google Analytics, and purchasing online from the likes of Shopify.
Ari Messer, Edward Upton
Total funding: £570k
Lumiq
Lumiq is a data management and analytics startup that assists in formulating data-driven decisions for financial service providers. Lumiq’s emPower platform allows financial enterprises to take a proactive approach for handling and optimising their data, and also helps to monetise data insights. Lumiq’s cloud-native AI data platform enhances the customer experience by 37% and business productivity by 23%.
Shoaib Mohammad
Total funding: $2m
Web: https://www.lumiq.ai
Molo
Molo is a digital mortgage lending platform that combines real estate knowledge with technology and AI, to form real-time predictive insights to provide an efficient, and cost-effective solution to home financing. London-based startup Molo is the UK’s first fully digital mortgage lender. Molo pioneers technology and AI, to ensure fast decision making and instant data validation, negating the need for paperwork and drawn-out processes.
Francesca Carlesi, Leo Grünstein
Total funding: £270.3m
Olvin
Olvin is a London-based startup helping businesses to take a proactive approach through its AI-powered predictive analytics platform. Olvin’s advanced neural network identifies patterns from its extensive database. Olvin’s AI uses probabilistic and deterministic scoring to form actionable insights for brands, retailers, and businesses to assist them in satisfying customers, identifying opportunities, and improving.
Own the Moment NFT
Own the Moment NFT is a data analytics startup based in Florida. Own the Moment offers clients the content, tools, analytics, and insights that are requisite to building a community around collecting and investing in NFTs.
Peak
Peak is a decision intelligence startup whose AI software platform provides data analysis services to empower commercial decision-making. Peak’s pioneering Decision Intelligence software embeds AI across sales, marketing, planning, and supply chains to fast-track fiscal growth for companies. Peak’s clients have enjoyed positive outcomes such as a 5% increase in total company revenues, a doubling of return on advertising spend, a 12% reduction in inventory holdings, and a 5% reduction in supply chain costs.
Atul Sharma, David Leitch, Richard Potter
Total funding: $117.7m
Web: https://peak.ai
Promethium
Promethium is an augmented data management provider with a cutting-edge AI-powered solution that combines natural language processing (NLP) with automated data prep to provide true self-service analytics. Users can ask a question in natural language, and Promethium will locate the data, determine how it should be accumulated, automatically generate the SQL statement to obtain the correct data, and then implements the query across multiple sources.
Kaycee Lai
Total funding: $8.5m
Quorso
Quorso is the British startup ushering in a new age of simpler and faster store management using data analytics. Quorso’s streamlined process categorises your data into 3 top-priority daily actions, called Missions, for each store. These Missions are designed to engage teams, increase Sales and drive KPIs. Quorso helps teams to launch their Missions, and analyses the impact, and then scales the effective missions for success.
Daniel Slowe, Julian Mills
Total funding: $12.6m
Singlestore
SingleStore is a San Francisco-based startup developing a database for operational analytics and cloud-native applications, for enterprises worldwide. SingleStore’s intelligent database works on any cloud on-premises or as a service runs transactions and analytics simultaneously, allowing clients to promote their business through analytics and combine semi-structured data into a consolidated big data platform.
Adam Prout, Eric Frenkiel, Nikita Shamgunov
Total funding: $318.1m
Starburst Data
Starburst Data is a data access and analytics company developing an SQL query engine. Starburst’s SQL query engine provides rapid, interactive, and ready-to-distribute data, comprising additional tooling and configurations. This allows data analysts to run fast analytic queries against various data sources ranging in size from gigabytes to petabytes. Because data sources are not scattered, the platform is a more cost-efficient alternative to traditional data warehouse systems.
Anu Sudarsan, Dain Sundstrom, David Phillips, Grzegorz Kokosiński, Justin Borgman, Kamil Bajda-Pawlikowski, Karol Sobczak, Martin Traverso, Matt Fuller, Piotr Findeisen, Wojciech Biela
Total funding: $164m
Starcount
Starcount is the definitive measure of social media popularity. Starcount is a fast-growing startup company, working to pave the way for the next generation of Insights, Analytics, and Profiling products and services. Starcount brings clarity to social media and transaction data, to deliver an assessment of the ‘Complete Customer’, on a global scale using real-time predictive analytics. Starcount’s analytics use their unique, global data asset.
unitQ
unitQ is a mission-critical product quality platform that helps companies accelerate growth and retention by targeting the right quality issues quickly. unitQ plugs in your data, and configures it into their product quality data pipeline, to boost product quality by 20% in 30 days.
Christian Wiklund, Niklas Lindstrom
Total funding: $41m
Verv
Verv is a UK startup specialising in high-speed data acquisition and analytics, and AI as part of its fault detection technology to create the next generation of smarter, longer-lasting, and more sustainable appliances. The team at Verv has developed an innovative predictive maintenance technology for white goods manufacturers to improve the intelligence and sustainability of their products. The unique algorithms allow Verv to detect component fatigue and faults within the appliance’s performance, to prevent failures.
Zeotap
Zeotap is a Customer Intelligence platform that helps brands to understand and predict customer behaviour, thus facilitating them to invest in customer relationships and products that matter. Zeotap amalgamates identity and profile data from exclusive enterprise partners with a full-stack technology platform for first-party customer data unification, identity resolution, third-party data enrichment, analytics/modelling, and activation.
Daniel Heer, Projjol Banerjea, Stephan Schwebe
Total funding: $92.2m
The list above includes startups that are doing amazing work in data analysis to improve business profitability.
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