Canaan is an early stage venture capital firm that invests in entrepreneurs with visionary ideas. With $5B under management, a diversified fund and over 190 exits to date, Canaan has invested in some of the world's leading technology and healthcare companies over the past 30 years. Canaan’s focus areas include fintech, enterprise/cloud, marketplaces, frontier tech, biopharma, digital health, and medtech.

Canaan Partners

WestWave Capital is an early-stage Venture Capital firm that invests in Seed and Series A Enterprise companies building deep technology solutions. They focus on SaaS, security, cloud infrastructure, blockchain, analytics, and IoT companies.

WestWave Capital

J- Ventures is a Silicon Valley based group of VC funds with over $60m under management. Backed by 400+ leading Investors ( 140+ Serial founders, 100+ VCs, 170+ Fortune 500 Executives) as LPs. Our active-LP  venture fund brings the power of this connected & intellectual capital to add real value to the companies we invest in and create a remarkable difference by helping our founders grow and scale to markets quicker. Based in Silicon Valley with investors from 15 communities - Tel Aviv, NYC, LA, London, Miami, Boston, and more. Since 2016 the group made over 50 investments, 4 unicorns and over 10 exits.

J-Ventures

MachEye

MachEye adds a ''play'' button to data! MachEye is the only personal business companion built for every business user and for all their data. We shatter the barriers that prevent organizations of all sizes from unleashing personalized BI for everyone. With MachEye, enterprises are equipped with a single, integrated platform that delivers insights as interactive audio-visuals, combined with natural search and click-less intelligence. MachEye is built for the cloud with AI as an architecture and discovers secure and governed business insights without limits.

MachEye is an enterprise analytics platform that offers augmented analytics capabilities to transform how organizations integrate data, decisions, and operations. The company's platform goes beyond traditional business intelligence tools by providing answers to "what, why, and how" questions about data. MachEye's technology enables users to interact with data through a Google-like search experience and consume insights via YouTube-like audio-visual presentations. The platform employs artificial intelligence (AI) to automate data preparation, conduct predictive analytics, perform root cause analysis, and deliver personalized recommendations. MachEye's SearchAI feature integrates an Analytics Copilot to offer intelligent search, actionable insights, and interactive stories based on business data. The platform can connect to various data sources without duplication, automatically classify data using a data catalog, measure data quality, and provide recommendations to fix data issues. MachEye's technology is designed to be accessible to all users, regardless of their technical skills, promoting data democratization across organizations.

The Modern Analytics Cloud with Generative AI

How to Use AI in Business Intelligence for Better Decision?

Insight Platforms

Giggso uses MachEye to drive analytics-led product adoption

TheSaaSDirectory

Using AI to mimic and understand human language

Natural Language Processing Tools

MachEye offers an AI-powered analytics platform that utilizes several technologies including AI, machine learning (ML), natural language processing (NLP), and text-to-speech. The platform includes features such as intelligent conversational search, actionable insight generation, interactive audio-visual insight generation, data governance, low-/no-prep data modeling, as well as embedded analytics via APIs.

Data Infrastructure & Analytics

Personalized Business Intelligence Company MachEye Closes $4.6 Million

MachEye is an enterprise analytics platform that offers augmented analytics capabilities to transform how organizations integrate data, decisions, and operations. The company's platform goes beyond traditional business intelligence tools by providing answers to "what, why, and how" questions about data. MachEye's technology enables users to interact with data through a Google-like search experience and consume insights via YouTube-like audio-visual presentations. The platform employs artificial intelligence (AI) to automate data preparation, conduct predictive analytics, perform root cause analysis, and deliver personalized recommendations. MachEye's SearchAI feature integrates an Analytics Copilot to offer intelligent search, actionable insights, and interactive stories based on business data. The platform can connect to various data sources without duplication, automatically classify data using a data catalog, measure data quality, and provide recommendations to fix data issues. MachEye's technology is designed to be accessible to all users, regardless of their technical skills, promoting data democratization across organizations.

Reduct is a cloud-based video editing and storage platform that enables users to transcribe, organize, and edit video content through text-based interfaces. The platform uses automated transcription technology to convert video and audio files into searchable text transcripts. Users can then highlight, tag, and edit these transcripts to create video clips and reels. Reduct's key differentiator is its ability to edit video by manipulating the corresponding transcript text, allowing for efficient review and compilation of interview footage and other video content. The platform supports various file formats and integrates with video conferencing tools like Zoom for direct import of recordings. Reduct also offers collaborative features, allowing multiple team members to work on projects simultaneously. In addition to its core editing capabilities, Reduct provides unlimited cloud storage for video files, making it a comprehensive solution for video post-production workflows.
Key customers and partnerships
Reduct caters to a range of industries and professionals, including researchers, content creators, marketers, and corporate teams. The platform has developed integrations with popular video editing software like Adobe Premiere Pro, enabling users to export their Reduct projects as editable sequences in these applications. Reduct also supports Final Cut Pro through XML export.

Reduct

MonkeyLearn is an AI-powered text analysis and data visualization platform that enables businesses to extract insights from unstructured textual data. The platform offers both pre-built and custom machine learning models for tasks such as sentiment analysis, keyword extraction, topic detection, and intent classification. MonkeyLearn's no-code interface allows users to clean, label, and visualize customer feedback data without requiring programming skills. The platform can process various types of text data including customer reviews, surveys, social media posts, and support tickets. MonkeyLearn integrates with popular tools like Excel, Google Sheets, Zapier, and Zendesk, allowing users to connect their existing data sources. In 2023, MonkeyLearn launched an all-in-one text analysis and data visualization studio that provides instant insights with greater granularity. The platform offers customizable dashboards and templates for different business scenarios, enabling users to create visualizations tailored to their specific needs.

MonkeyLearn

Keatext is an AI-powered text analytics platform that specializes in interpreting customer feedback. The company's cloud-based solution synthesizes large volumes of unstructured feedback data from multiple channels, including open-survey questions, online reviews, support tickets, chats, and social media posts. Keatext's platform utilizes deep learning and natural language processing to analyze, cluster, correlate, and track customer opinions autonomously, providing actionable insights through a comprehensive dashboard.
The platform is designed to minimize response time and requires no setup, featuring multilingual analysis and context-sensitive, industry-agnostic understanding. It automatically visualizes correlations and trends, offering immediate report-sharing capabilities. Keatext's technology adapts to various industries without requiring algorithm customization, eliminating the need for keywords, lexicons, and semantic dictionaries.
Founded in 2010 by Narjès Boufaden, Keatext initially operated as a professional services provider. In 2015, the company transitioned to a product-based model with the launch of its cloud-based AI-powered text analytics platform. Keatext's solution helps businesses optimize profitability through customer feedback analysis, enabling them to move from assumption-based decision-making to data-driven, research-based strategies. The platform significantly reduces the time required for analyzing customer feedback, with users reporting that tasks that previously took eight hours can now be completed in 10 minutes using Keatext.

Keatext

Aircover is a sale assistant tool that leverages conversational AI and real-time technologies to enhance the efficiency of sales teams. The platform integrates with virtual meetings, providing sales representatives with up-to-date messaging and positioning information. This approach aims to reduce ramp time for new representatives and products, shorten sales cycles, and increase win rates. Aircover's AI-powered system enforces best practices throughout sales meetings, offering real-time answers to representatives and potentially reducing the number of follow-up meetings required per prospect. The tool is designed to serve a wide range of users, from individuals to large enterprises. Aircover also features a relationship management component, allowing users to store notes and track roles within deals. By putting sales enablement on autopilot, the platform seeks to streamline the sales process and improve overall performance.

Aircover

NeuralSpace is an AI SaaS company that specializes in providing advanced text and voice AI technologies in over 100 languages. Founded in 2019, the company focuses on delivering language AI solutions, particularly for Arabic, Indian, and other low-resource languages predominantly spoken in Asia, the Middle East, and Africa. NeuralSpace's platform offers a suite of products including speech-to-text, machine translation, entity recognition, transliteration, data generation, language detection, and text-to-speech conversion. The company's flagship product, VoiceAI, launched in October 2023, provides highly accurate call transcription, translation, and speech analytics for Arabic and Indian languages and dialects, achieving an average accuracy rate of 91%. NeuralSpace utilizes proprietary speech-to-text technology trained on a dataset of 40,000 hours of audio data, which it aims to increase to 100,000 hours. The company's no-code modular toolkit enables enterprises to train and deploy AI models for language processing applications without extensive coding knowledge. NeuralSpace's technology leverages modeling techniques such as transfer learning, multilingual learning, and data augmentation to work effectively with limited text or speech data. The platform can be accessed through a command-line interface, REST APIs, or a no-code GUI, making it versatile for various integration needs.

NeuralSpace

Solutions that use techniques such as named entity recognition, part-of-speech tagging, or summarization to produce insights from unstructured textual documents.

Platforms that summarize conversations, audio, or video files including reactions into text formats.

Tools to identify and analyze the opinions or emotions expressed in survey responses or reviews to produce actionable insights.

Platforms that decipher search queries by analyzing structured and unstructured data based on user intent and behavior.

Solutions that enable real-time conversation through chatbots or automate ticket routing to relevant agents.

Tools that automatically translate text from one language to another.

Tools that detect plagiarism, punctuation errors, or style errors in text.

Companies that use GenAI as a core part of their product offering for natural language processing.

NLP tools such as chatbots are used to cater to each individual

NLP tools are built using AI/ML technologies

Some NLP tools are built using foundation models

NLP tools are provided for other companies to integrate into their workflows

MachEye offers an AI-powered analytics platform that utilizes several technologies including AI, machine learning (ML), natural language processing (NLP), and text-to-speech. The platform includes features such as intelligent conversational search, actionable insight generation, interactive audio-visual insight generation, data governance, low-/no-prep data modeling, as well as embedded analytics via APIs.The company says its platform is designed to serve as an AI analytics copilot and help democratize business intelligence (BI) use, making it accessible and actionable for users at all levels within an organization. MachEye's platform also connects to various cloud data sources, such as Amazon Redshift, Microsoft Synapse, Google BigQuery, and Snowflake CDP, to offer a comprehensive solution for data integration and analysis​​​​.The company was acquired by Verint Systems in April 2024.&nbsp;Key customers and partnershipsMachEye caters to a diverse range of industries, including retail, technology, and education. As of September 2024, its notable customers included Thinkster, an AI-driven tutoring and test prep program, which uses MachEye to enhance its virtual learning initiatives, Genentech, Applied Materials, Neustar, Aviso, PubMatic, and Ultra Mobile.

Fivetran is a cloud-based automated data integration platform that enables businesses to move data from various sources, including SaaS applications, databases, and files, into data warehouses, data lakes, and other destinations. The company's platform offers multiple deployment models to meet diverse business needs, ranging from stringent security requirements to maintaining on-premises databases even after partial cloud migration.The company's data movement platform is designed to automate and streamline the process of extracting, loading, and transforming (ELT) data, empowering organizations to focus on data-driven insights and decision-making. With real-time analytics, database replication, AI workflows, and cloud migrations facilitated by Fivetran, thousands of customers worldwide can leverage the platform to drive business growth.Fivetran's core offering revolves around its connector library, which supports over 500 data sources, including SaaS applications, databases, ERPs, and files. These connectors enable automatic, reliable, and secure data movement, regardless of whether the data resides on-premises, in the cloud, or in a hybrid environment. The platform's scalable architecture allows businesses to seamlessly add or remove data sources as their needs evolve.To enhance the usability and accessibility of the ingested data, Fivetran employs a normalized schema approach. By delivering data in a normalized format, the platform enables customers to remix and reshape the data according to their specific requirements, facilitating efficient data analysis and reporting. Additionally, Fivetran offers pre-built data models and dbt Core integration, empowering customers to create analytics-ready tables tailored to their business use cases, such as analyzing deal opportunities from Salesforce, generating general ledger reports from QuickBooks data, or evaluating return on ad spend across advertising platforms.In <a href="https://sp-edge.com/updates/30203">June 2024</a>, the company launched Managed Data Lake Service to simplify the process of managing data lakes for businesses of any size. Key benefits include the ability to centralize data for insights and convenience. Furthermore, it reduces costs by discontinuing support for legacy data warehouses.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33748">Fivetran introduced "Hybrid Deployment",</a> allowing customers to run data pipelines within their environment while managing them through Fivetran's platform. This solution enables enterprises to securely centralize data from various sources, including cloud-based SaaS apps and legacy databases. Fivetran claims Hybrid Deployment offers full visibility of all pipelines from a single interface, enhanced data security, and simplified setup and maintenance.Key customers and partnershipsOver the years, Fivetran has attracted a diverse range of customers across various industries, including ecommerce, finance, technology, and media. Notable clients include Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, among others. These companies leverage Fivetran's platform to streamline their data integration workflows, optimize their analytics capabilities, and gain a competitive edge through data-driven decision-making.To further enhance its offerings and enable seamless integrations, Fivetran has established strategic partnerships with various technology providers, including data warehousing solutions, cloud platforms, and business intelligence tools. For instance, Fivetran collaborates with Databricks, enabling customers to build an open lakehouse with Delta Lake powered by the Databricks Data Intelligence Platform. Additionally, Fivetran's integration with Unity Catalog provides out-of-the-box governance and security for Fivetran-generated tables.

Fivetran

<div>
 
 Domo is a cloud-based analytics platform that enables businesses to connect, transform, and visualize data from various sources. It provides a comprehensive solution for data management, analysis, and visualization, empowering organizations to make data-driven decisions. Domo's platform is designed to foster collaboration, efficient decision-making, and improved business outcomes through its user-friendly interface and powerful data manipulation capabilities.
 
 
 Domo's key offerings include data integration, data warehousing, business intelligence (BI), and intelligent applications. The platform leverages its Adrenaline engine and offers over 1,000 pre-built connectors to extract data from cloud applications, databases, spreadsheets, and other sources. This data is then stored in Domo's internal data warehouse or accessed through federated queries, enabling users to analyze and visualize it using Domo's extensive collection of visualization tools and dashboards.
 
 
 Domo&rsquo;s user experience is designed to be intuitive and accessible, fostering high adoption rates across organizations. Its user-friendly interface, seamless collaboration features, and mobile-first approach contribute to its widespread adoption and ease of use. Domo's platform is built for speed and scalability, allowing organizations to quickly access and analyze even large datasets without experiencing performance issues.
 
 
 Key customers and partnerships
 
 
 Domo serves over 2,300 customers across various industries, including major enterprises such as eBay, Walmart, Cisco, Citibank, HP, The National Geographic Society, Verizon, US Army, Vanguard, Microsoft, IBM, Thomson Reuters, Airbus, Orange, AT&amp;T, Caterpillar, Volvo Cars, and Comcast.
 
 
 The platform has been widely adopted by organizations seeking to leverage data for better decision-making, improved customer insights, and enhanced marketing analytics. Domo has formed strategic partnerships with companies like Regional One Health and Torchy's Tacos, enabling them to leverage Domo's capabilities for healthcare metrics and finance applications, respectively.
 
</div>

Domo

Founded in 2014, Confluent, Inc. is a technology company headquartered in Mountain View, California. The company specializes in data streaming platforms, primarily based on Apache Kafka, an open-source project created by Confluent's founders while working at LinkedIn. Confluent offers two main products: Confluent Platform, an on-premise solution, and Confluent Cloud, a fully managed SaaS. These products help organizations harness real-time data streams for various applications, including microservices, Internet of Things (IoT), financial services, fraud detection, and customer analytics.Confluent's primary offering in data infrastructure services is its integration solution, which enables organizations to unify data from disparate sources. The Confluent Platform and Confluent Cloud act as clients' central nervous systems, allowing them to connect various IT systems and applications to capture and process real-time data streams. This capability enables businesses to make decisions based on continuously flowing data.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33818">Confluent announced upgrades to its Confluent Cloud</a> product, enhancing support for Apache Flink. The updates include support for the Table API, simplifying development for Java and Python users, and private networking support to improve data security. These upgrades aimed to simplify Flink deployments, enhance security, and make it easier for organizations in regulated industries to stream data and integrate it into applications.Key customers and partnershipIn December 2023, Confluent expanded partnerships with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz as part of its "Data Streaming for AI" initiative. These partnerships aimed to provide real-time contextual data from Confluent's platform to partners' vector databases, facilitating the development of AI-powered applications.

Confluent

<div>
 
 dbt Labs provides an open source data transformation tool that uses analytics engineering. It is aimed at programmers with knowledge of SQL to develop models with SELECT statements, test and document each model, and install safely with Git-enabled version control. The software enables the user to develop faster, work from the same assumptions, deploy with confidence, and&nbsp; ensure low risk with governance and safety. The company also offers dbt Core, which is an open source software for analytics engineers, and dbt Cloud Enterprise for secure, reliable access to data. JetBlue and Domain are some of its clients.
 
 
 
</div>

dbt Labs

Starburst provides an analytics engine that enables organizations to access and analyze distributed data without moving it from its source location. The company's platform is built on Trino (formerly known as Presto), a distributed SQL query engine designed for running interactive analytics queries across various data sources. The platform allows users to query data across multiple databases, data lakes, and data warehouses simultaneously, eliminating the need for costly and time-consuming data centralization. In February 2023, Starburst introduced Warp Speed, a smart indexing and caching solution that accelerates queries up to 7x faster by autonomously identifying and caching frequently used data. The company's software includes two main offerings: Starburst Enterprise for self-managed deployments and Starburst Galaxy, a Software-as-a-Service (SaaS) solution launched in 2021 that enables data lake and cross-cloud analytics. In February 2022, Starburst reported tripling its customer base and annual recurring revenue in the previous 12 months.
Key customers and partnerships
Starburst's platform is used by organizations including Zillow, Standard Chartered, Carrefour Brazil, Comcast, DoorDash, VMware, and Condé Nast. The platform helped Priceline reduce data storage costs by 5-10x while AssuranceIQ achieved a 10% increase in conversion rates. Starburst had established partnerships with major cloud platforms including AWS, Azure, Google Cloud Platform, Alibaba Cloud, Red Hat, and HPE. The company also partnered with Red Hat as one of the inaugural members of the Red Hat OpenShift Data Science ecosystem.

Starburst

Solutions to unify data from disparate sources by extracting, transforming, loading, and storing data in a usable form (such as in data warehouses) for further analysis.

Tools to monitor data for quality issues in real-time, as it moves throughout the data pipeline.

Providers of storage solutions that help accelerate data analytics. These include primary storage solutions, such as data warehouses and data lakes, and secondary storage solutions for non-mission-critical data.

Solutions that enable businesses to carry out data processing and create ML models on the underlying data for predictive analysis.

Tools for enterprises to visualize data in a graphical form and obtain insights on the same using AI and natural language processing.

Companies that use GenAI as a core part of their product offering for data infrastructure & analytics.

Leverages GenAI to help organizations extract insights and supports GenAI application development through data preparation

Offers data analytics and storage platforms for business under a B2B SaaS model

These are tools that help prepare data for AI/ML applications

MachEye

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