Baring Vostok Capital Partners Limited is a venture capital and private equity firm based in Russia.     It invests on early venture, acquisitions, buy-outs, growth capital, later-stage, mid-market, and medium-sized enterprises that operate in sectors such as natural resource extraction, particularly oil and gas; competitive industrial companies that operate in local or export markets; mass media and telecommunications; utilities; construction materials; specialty manufacturing; real estate development; residential real estate development; internet; software; retail; and service management.     Baring Vostok Capital Partners was founded in 1994 and is based in Moscow, Russia with additional offices in Limassol, Cyprus and Gernsi, Channel Islands.

Baring Vostok Capital Partners

RTP Global is a venture capital firm focused on early-stage technology investments. It supports young companies with strategic know-how and a broad global network. RTP Global has invested in companies founded in more than ten countries across Europe, Asia, and North America. Six early-stage investments became multi-billion public companies: Yandex, EPAM, Delivery Hero, RingCentral, Datadog, and Ozon. RTP Global has offices in New York, London, and Bangalore.

RTP Global

Founded in 2001, Tiger Global Management, LLC (“Tiger Global”) is a New York-based investment firm pursuing a long-term approach to investing in leading, global public and private companies that leverage technological innovation. Tiger Global’s public equity business includes fundamentally oriented long/short, long-focused and crossover strategies, targeting investments in high-quality, public growth companies. The private equity business invests in early through late stage companies that pursue innovative approaches to new and existing industries, building on over 20 years of experience investing in hundreds of businesses in more than 30 countries with more than 90 portfolio company IPOs. With a strong track record investing across sectors and stages, Tiger Global aims to be a thought partner to companies and their management teams across their lifecycle in public and private markets. The Firm’s mission is to generate world-class returns for its investors and to do so in a way that makes its employees, partners and portfolio companies proud.

Tiger Global Management

Yandex

Remote learning is driving an education technology revolution.

EdTech: K-12

<div>
 
 MEL Science aims to foster a passion for science in students by making microscopic concepts more dynamic through educational kits combined with experiments, virtual reality (VR) simulations, and live lessons. MEL stands for “more efficient learning”. The company’s products are designed for children aged 5 to 14 and can be used in schools or at home. 
 
 
 MEL Chemistry by MEL Science is a subscription service that offers monthly home and school delivery of safe chemistry experiment kits (including all ingredients and instructions) for children that incorporate VR technology. The company’s portfolio also includes physics (MEL Physics) and STEM (MEL Kids) kits.
 
 
 In August 2022, the company merged with 
 Vsauce’s Curiosity Box, the STEM-focused subscription box, to expand its overall product offering.   
 
 
 Key customers and partnerships
 
 
 In January 2020, the company announced a partnership with zSpace, a US-based education technology (EdTech) provider, to make MEL Science’s chemistry courses available on zSpace’s augmented reality/virtual reality (AR/VR) education platform.
 
 
 Funding and financials
 
 
 In December 2020, MEL Science raised USD 14 million in Series B funding, and plans to use the funding to develop its subscription-based learning products further and expand into new markets. The round follows its USD 6 million raised in August 2019, to expand to 5,000 schools worldwide.
 
</div>

The company delivers genetic tests that help people to live healthier (predisposition tests), save lives (inherited deseases) and help in family planning (carrier screening).

Yandex.Market engages in e-commerce, with a core focus on creating a B2C online retail marketplace.

MEL Science is an educational startup focused to change early science education with a combination of up-to date technologies and hands on experience. Our main products are monthly subscription to chemistry kits and chemistry lessons in VR for schools.

DOC+ mission is to make high quality medical service affordable. We started as a pure doctor-house-calls service and transformed into the 1st mobile clinic on the Russian market, providing on-demand doctor house calls, teleconsultations, EHR (electronic health record), medical concierge cervice and more. DOC+ reached 30k customers in 1.5 years and continue rapid growth.  DOC+ has in its DNA a desire to transform healthcare in Russia. To accomplish it, DOC+ launched an in-home doctor service in August of 2015. Since that, DOC+ has proved the validity of its approach.  Developing, DOC+ has smoothly transformed into a mobile clinic in its client's pocket, allowing users to:  • Order an in-home visit with one tap of a button • Instantly buy and get delivered prescribed medicine and pills (to be launched in Q2’17) • Get an instant consultation either through a chat or by phone • Get a video-consultation (launch in Q1’17) • Keep electronic health records and get instant specialist comments on issues from blood test results to prescriptions • Get an access to your personal doctor, a database of DOC+ verified medical partners with considerable discounts, privileged service and free teleconsultations through unique DOC+Care subscription (monthly / annually)  DOC+’s main goal is to offer every medical service that can be done at patient’s home or distantly via telecommunication in a highly personalised way.   Our vision is to help DOC+ large customer base get access to the most advanced healthcare technologies, increasing doctor’s utilisation and optimising costs at the same time. We'll do it through further development of telemedical solutions, AI/ML based diagnostics and assistance and personalization.

AVO Virtual Roaming Solution is a new generation telecom platform, which provides global mobile coverage for mobile carriers and virtual mobile operators, avoiding classic roaming interconnections with foreign operators or roaming hubs.

Founded in 2012, SalesPredict helps B2B companies increase revenues by identifying who their best potential prospects really are and providing information and insights that accelerate sales cycles and improve conversion rates. How? Predictive analytics.   SalesPredict goes beyond predictive lead scoring to provide Customer Lifecycle Intelligence. By combining and analyzing prospect and customer data from a company’s CRM and marketing automation system, along with proprietary data sources, social media, and the open web, SalesPredict helps companies uncover hidden “hot” leads, know which prospects are most likely to convert to sales and gain insights that help close deals faster.   Using proprietary predictive analytics algorithms, SalesPredict delivers insights that help sales, marketing, and customer success teams have more impactful interactions with prospects and clients throughout the customer lifecycle and maximize revenue at every phase.  To-date, SalesPredict has raised close to $5.3 million. The Company is funded by leading global investors, including Yandex, KGC Capital, AfterDox, RSL Venture Partners, and Pitango Venture Capital.

Sales in the regions of Russia - a ''gold mine'' of modern e-commerce.

Wikidata is a free knowledge base that can be read and edited by humans and machines alike. It is for data what Wikimedia Commons is for media files: it centralizes access to and management of structured data, such as interwiki references and statistical information. Wikidata contains data in every language supported by the MediaWiki software.

Seismotech LLC engages in the processing and interpretation of 2d and 3d seismic data using its algorithmic and methodical developments. The company also engages in scientific researches in the field of seismic data processing; and the development of software for interpretative processing of seismic data. In addition, it provides consulting services in the areas of processing and interpretation of seismic data. The company was founded in 2010 and is based in Moscow, Russian Federation.

In 2010, the project manager GBooking Alexander Naslednikova got the idea to market optimization services on the Internet. ''If 10 back there was a problem finding the right source of information on the Internet, t EPER problem is different: a lot of sources of information, and the average user in selecting the best offers no possibility of comparison between different sources. So, my first startup was engaged by comparing the prices in supermarkets, in one of the following ideas, we aggregated and compared classified ads and renting real estate. The idea is also to optimize the choice of providers suggests itself. ''  Besides Alexander, they have had a classical technical education (BA in Mathematics with Computer Science, Technion, Haifa, Israel) had the idea to create a method of increasing the profitability of enterprises with an optimization algorithm , which he later turned out perfectly.  The main mission of GBooking - to contribute to the improvement of the space buyer-seller relationships, maximize convenience and time savings of both sides and at the same time to perfect your strategy - focus on the end-customer.

Blekko is a search company founded by Rich Skrenta and his core team from previous company [Topix](http://www.crunchbase.com/organization/topix) and Netscape's Open Directory.  Blekko was founded halfway through 2007 and has already earned itself an angel round from Baseline Ventures and two ex-Googlers.

Refine.io build interactive, functional prototypes in about the same time as a wireframe.

Face.com is helping people find photos, using their home grown best-in-breed facial recognition technologies. The first deployment of their tech is their Photo Finder application for Facebook, today's largest photo sharing site, which scans public photos in your social network and suggests tags for untagged faces. face.com has offices in Tel Aviv and New York.

Vizi Labs is a new and exciting startup located in Israel, focused at research and development of image processing technologies.

Yandex is a technological company. They develop products and services by machine learning that include transportation services, navigation products, and mobile applications for consumers. They help consumers and businesses navigate online and offline. Their services use machine learning including in the search results, serving online advertisements, and performing translations.

<div> Yandex is a multinational technology company that provides internet-related services and operates a search engine platform in Russia. It is one of the largest internet companies in Europe, operating Russia&rsquo;s most popular search engine and its most visited website.According to LiveInternet, for the three months ended September 30, 2015, they generated 57.1% of all search traffic in Russia. They also operate in Ukraine, Kazakhstan, Belarus, and Turkey. </div>

Driver Shortage May Fuel Taxi Rate Hike, Yandex Warns

Automation and robotics are finally creating solutions for the complexities of doorstep deliveries.

Last-mile Delivery Automation

Refers to unmanned aerial vehicles (UAVs) that deliver packages. Drones are already in commercial use in many other industries (such as photography, construction, and agriculture). The use of drones for goods delivery has emerged with the gradual advancement of battery and connectivity technologies.

Refers to autonomous vehicles that use pedestrian walkways and travel a little faster than average walking speed (generally 3-6 miles an hour). These vehicles can usually carry up to around 20 lb. and use a camera, radar, and sensors to move autonomously. 

This is a sub-branch of self-driving cars and represents autonomous vehicles that can move along public roads. The technology used is similar to self-driving cars. ADVs have a higher load capacity and travel at a faster speed than vehicles like droids.

Foundation Models

Foundation models that can handle a range of natural language processing (NLP) use cases. Typical tasks include generating summaries, translating, answering questions, and classifying text. These models typically use text inputs and generate text outputs.

Fine-tuned versions of large language models, which are focused on specific tasks and applications (e.g. code generation, medical event prediction, financial NLP tasks, etc). These are usually developed by training LLMs using custom data and also serve as foundation models that can be developed even further. These models typically use text inputs and can generate text and/or code outputs.

Foundation models that translate visual data based on features and contextual information identified during training. This enables models to interpret images and video, applying those interpretations to predictive or decision-making tasks. Typical tasks include image recognition and classification into categories. These models typically use image and/or video inputs and generate text outputs.

Foundation models that are trained to understand and work with two or more forms of input data (e.g., text and images) to solve problems and complete tasks using both natural language processing and computer vision. These models can also generate outputs across textual and visual modalities. Typical tasks include visual question answering, image captioning, and generating images based on text descriptions. These models typically use text and/or visual inputs and generate text and/or visual outputs.

Foundation models that use big data to suggest or recommend additional products to consumers. These models are designed to predict user-item interaction probabilities and provide recommendations to users. The models are trained to make these inferences based on historical data on customer interactions and non-interactions. These models typically use user features, item features and user interactions as inputs, and generate numeric values like ratings predictions and matching probabilities as outputs.

Foundation models that are capable of automatic speech recognition, transcription in multiple languages, and translation from these languages to English. These are sometimes referred to as audio models. These models typically use speech/audio as inputs and generate text outputs.

Foundation models that transform user text prompts into video clips.

Foundation models that generate music from text descriptions.

Yandex

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