Led · Series B · Nov 2019

EOITEK is a Chinese startup that develops big data and artificial intelligence-based products to help clients enforce IT operations. The company's core offerings combine big data and AI to support IT operations management and enforcement. According to the article, EOITEK secured $60 million in a Series C round of financing. The Series C was led by blockchain-focused investment firm M31 Capital. The article does not provide additional operating metrics, past funding rounds, or detailed financial terms. EOITEK builds intelligent operations (ITOM/AIOps) products for enterprise IT management and has secured lighthouse customers across key industries. The company says it will use new funding to expand market scale and accelerate commercial deployment. Founding and leadership draw on deep IT operations experience: CEO Yang Chen previously led BMC's South China business and held roles at HP, Mercury and CA; CTO Ge Xiaobo has over 18 years of IT experience. EOITEK was incorporated in Shanghai in December 2014 and its core team reports more than 15 years of traditional IT operations experience. The company has previously completed multiple funding rounds from investors including Yuanjing Capital and Atom Venture.

Led · Equity · Oct 2019

Datameer began as a data-prep startup built on top of the open-source Hadoop project. In response to industry shifts, the company is pivoting away from Hadoop to modern, cloud-native architectures built on Kubernetes and Spark, and has rebuilt its Hadoop product into Datameer X. It has also developed Neebo, a new SaaS tool to let data scientists process diverse forms of data and integrate with visualization tools like Tableau and Looker; Neebo is expected to be generally available in the coming weeks. CEO Christian Rodatus says the pivot is about two-thirds complete and the product has been in the hands of customers. The company plans to hire more engineers and build a go-to-market team to support the new products. According to Crunchbase data cited in the article, the company has raised almost $140 million to date. Datameer builds big data analytics software on Hadoop for enterprise customers across finance, telecom and media. The company reports about 200 customers, with the majority in North America, roughly 20% in the EU and a small presence in Asia. Datameer has offices in San Francisco and New York, with its engineering team based in Halle (Saale), Germany. Leadership says the business has been primarily self-funded by revenue, having previously raised $36.8 million across four rounds before the latest financing. The company emphasizes strong customer support and core values and aims to expand further into Asian markets. Datameer plans to use the new capital to hire staff (growing headcount from ~160 toward 220–230) and to scale the business toward a potential IPO in a few years. Datameer builds a business intelligence platform that runs natively on Hadoop and MapReduce to provide data integration, analytics, and visualization. Its technology maps data across clusters and reduces it to enable analysis on commodity hardware using Hadoop as the data hub. Customers such as Sears use the product for credit-card fraud prevention; the company cites other use cases including predictive maintenance and determining optimal advertising prices. Datameer is benefiting from an inflection point in the Hadoop and big-data analytics market as distributions mature and enterprises build data hubs as cheaper alternatives to traditional data warehouses. The company raised $19M in a Series D, bringing total investment to $36.6M. Investors in the round include lead Next World Capital with participation from Workday, Citi Ventures, Software AG, and returning backers Kleiner Perkins Caufield & Byers and Redpoint Ventures. Datameer provides a spreadsheet-model interface for Apache Hadoop to let business users perform big-data analytics without developer help. It also sells a desktop edition that enables users to run Hadoop analytics on a single machine as a standalone tool. The company has inked deals with Dell and Fujitsu to include Datameer in their Hadoop offerings. Datameer was founded in 2009. The company says it will use new funding to expand the team to keep up with demand. Its product targets users familiar with Excel and BI dashboards who otherwise find Hadoop difficult to use. Datameer offers an analytics solution that integrates Apache Hadoop's data-mining power with a spreadsheet interface, enabling business users to run analytics on very large datasets without programming. The product is designed for users with little to no computer engineering experience. Customers include firms in security software, financial services, telecommunications, and internet research/digital insights. Datameer's leadership includes Hadoop veterans co-founder Ajay Anand (formerly Director of Product Management for Hadoop and Cloud Computing at Yahoo) and co-founder Stefan Groschupf (founder of Katta). The company will use the new capital to expand its sales, engineering, and marketing teams and to drive adoption of its analytics platform. Its reported funding position is $12 million in total capital raised.

Participated · Series D · Mar 2018

Moogsoft delivers a cloud-native, self-service observability and AIOps platform that helps DevOps teams detect, triage and remediate incidents faster. The company recently introduced self-service capabilities and a free tier to accelerate adoption and a product-led, high-velocity model. Moogsoft reports 100% QoQ growth in its customer base, record expansion within existing customers, a 105% net dollar retention rate and its best ARR yet. It serves more than 140 customers worldwide, including American Airlines, Fannie Mae, Fiserv, HCL Technologies, SAP SuccessFactors and Verizon Media. Strategic partnerships include AWS, Cisco, HCL Technologies, TCS and Wipro. The company has strengthened its go-to-market team—doubling the sales organization and hiring Minami Coirin Rojas as VP of Growth—while emphasizing rapid customer acquisition and expansion. Moogsoft builds an AIOps platform that applies patented AI to help IT operations teams detect, correlate and resolve incidents across complex enterprise environments. The company has released more than 15 updates to its platform, including Real-Time Service Dashboards, Collaborative Team-Based Workflows, an Algorithmic Clustering Engine, Probable Root Cause Analysis and a Mobile version. Moogsoft says it has been awarded six patents and has filed over 40 additional patent applications for its inventions. In 2017 the company more than doubled revenue and onboarded key customers from across the Global Fortune 500. Moogsoft will use new funding to scale sales and marketing to meet global demand and to invest in R&D for new product development and continued innovation in its core AIOps platform. The company is headquartered in San Francisco and has raised $90 million to date. Moogsoft delivers real-time IT Operations Analytics (ITOA) and machine learning-based incident management for private, public cloud and hybrid IT environments. Its platform helps operations and development teams detect, triage and resolve incidents inside production environments. The company serves large, dynamic and heterogeneous environments and counts customers such as Cisco, Royal Bank of Canada, Yahoo and GoDaddy. Led by CEO and co-founder Phil Tee, Moogsoft targets improved service quality through automated incident detection and triage. The company plans to use new funding to accelerate expansion of global operations across Europe, Asia and the Americas. No revenue or user metrics were disclosed in the article. Moogsoft's flagship product, Incident.MOOG, is a next-generation manager-of-managers platform that uses patent-pending machine learning to detect anomalies, reduce noise, create contextualized situations, and orchestrate rapid restoral of services. The company positions its Collaborative Situation Management to serve IT Ops, DevOps, and ITSM teams at web-scale enterprises and service providers. Moogsoft has established partnerships across the ITSM and DevOps sectors and expanded its presence across Europe, North America, and Asia, with customers such as RetailNext. Customer deliveries began in February 2012, and the company was recognized by Gartner as a "Cool Vendor in Application Performance Monitoring." The company says the new funding will accelerate plans for a new era of operational tools that are smarter and more effective for modern IT. Combined funding history and partnerships support its growth and product adoption internationally. Moogsoft provides Agile Service Management software that leverages Big Data and Social Networking to help customers identify IT incidents. Its platform ingests signals from devices, databases, applications and human-generated instant messages and trouble tickets. The product applies goal-oriented social orchestration to resolution and impact-management processes. Moogsoft says these capabilities help customers identify incidents and reduce costs. Led by CEO Phil Tee, the company closed a $7M Series A and intends to use the capital to expand operations.

Led · Equity · Jan 2018

Bespin Global is a Cloud Delivery Platform (CDP) company and leading cloud managed service provider offering migration, deployment, operation, management, DevOps, and big data services across public cloud providers including AWS, Microsoft Azure, Google Cloud, Aliyun, Tencent Cloud and Naver Cloud Platform. It operates a self-developed multi-cloud management automation platform called OpsNow and supports customers globally. The company has grown rapidly since its founding, with more than 1,000 employees, over 1,700 customers, and 14 offices in 9 countries. Bespin Global has been repeatedly recognized in Gartner reports and IDC evaluations and holds high-level partnerships with AWS, Microsoft Azure, and Google Cloud, plus multiple ISO security certifications. The company intends to use new capital mostly for acquisitions and to expand its cloud managed services footprint. Bespin Global will form a joint venture with e& Enterprise to serve customers in the Middle East, North Africa and Pakistan. Bespin Global provides cloud managed services through its proprietary OpsNow platform and supports all major public cloud platforms. The company offers global managed service delivery and has a significant presence in the Chinese MSP market. Led by CEO John Hanjoo Lee, Bespin is expanding into the Middle East & Africa through a dedicated MEA arm. As part of its roadmap, Bespin will collaborate with SK Telecom, SK C&C, and SK Infosec to develop a 5G cloud-integrated and multi-hybrid management platform based on OpsNow. Financially, the company has raised a total of $177M to date, including a $75M Series C, a $90M Series B and a $14M Series A. Bespin Global provides enterprise cloud management solutions through professional services, managed services, and its OpsNow SaaS product. The company helps customers migrate legacy IT to cloud IT, optimize cloud operations, and manage multi-cloud environments. Its Professional Services group offers cloud architecture, migration, and strategy consulting, while its Managed Services group provides 24×7 monitoring, triage, and ongoing optimization. OpsNow automates cloud IT operations and cost management across multiple cloud platforms. Led by CEO and co-founder Hanjoo Lee, Bespin Global employs over 300 staff and has served more than 190 corporate and government clients since its founding in October 2015. The company operates from Seoul and from offices in Shanghai and Beijing. Bespin Global provides an automated multi-cloud management platform and professional services that enable customers to leverage cloud capabilities to speed digital innovation. The company intends to use the new funding to accelerate product innovation, expand sales and marketing efforts, and broaden its customer reach. Bespin serves over 150 mid-sized to large companies and has more than 200 employees in Korea and China. The firm was founded in December 2015 and operates from Seoul and Beijing. The Series A raise strengthens its balance sheet to support ongoing product and commercial expansion in its core markets.

Led · Series E · Nov 2017

Instart Logic offers a global, cloud-based, AI-driven digital experience platform that optimizes cloud, web and mobile application performance, image optimization, digital advertising recovery, and security (WAF, DDoS, bot management) along with a next-generation CDN. The platform is deployed across top-tier data centers, is protected by 80+ patents, and currently processes more than 10 billion transactions a day. Customers include hundreds of leading brands such as Neiman Marcus and Bonnier; Instart says clients typically see 5–8% higher online revenue and up to 30% faster mobile and website performance, while publishers can gain 3–15% higher ad revenue. Features include AI-driven application and device awareness, a Nanovisor JavaScript virtualization layer, unified management and open APIs, with 24x7x365 operations and no hardware or software installs required. Gartner placed the company in the "Visionary" quadrant of its Magic Quadrant. The company has raised a total of $140 million in equity funding and plans to use new capital to expand globally, extend its platform and build advertising-optimization initiatives to address ad blocking and grow its TAM beyond $10 billion. Instart Logic provides a cloud application-delivery platform that focuses on speeding up applications rather than serving static files like traditional CDNs. It accelerates performance by splitting applications into small chunks, sending critical pieces first so users can interact quickly, and optimizing image sizes, formats, and compression. The company counts customers such as Shutterstock (which is moving all of its web traffic to the service), Evite, and Nasty Gal. Instart plans to use new funding to hire, expand R&D, and grow its international footprint, beginning with Europe. The company announced several executive hires including a new CFO and VPs of product and technical operations. To date the company has raised a total of $95 million. Instart Logic is building a new approach to content delivery networks that algorithmically detects which parts of a website users are most likely to interact with and loads those parts first. The software concentrates on critical page elements while loading less-critical parts in the background, improving perceived load time especially on mobile networks. The company says its machine‑learning models get smarter over time and can show speed improvements for a site even before a sale. Instart Logic claims its customer base grew more than 500% over the past year and lists customers including One Kings Lane, Volcom, The Washington Post, Wine.com and Omni Hotels. The company raised new funding to continue reinventing CDNs and to expand its product deployment and ML capabilities. No revenue or valuation figures were disclosed in the article. Instart Logic offers a cloud-based, easy-to-deploy service that improves responsiveness and dramatically reduces load times for web and mobile applications. Its product is designed to address performance bottlenecks on congested mobile and Wi‑Fi networks and can be deployed in about 15 minutes. The company completed its beta in December 2012 and is currently in limited availability, with a general release planned later this year. Customers include a Fortune 500 company and paying clients across retail, travel and hospitality, enterprise SaaS, online gaming, and media. The founding team — Manav Mital, Hariharan Kolam and Raghu Venkat — came from the engineering group at Aster Data (acquired by Teradata in 2011), and early employees hail from Google, Facebook, Amazon, VMware, Citrix, Akamai, Adobe and Mozilla. Financially, the company has raised a $17M Series B and has $26M in total funding.