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Mapfre

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Mbank

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Carrefour

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Żabka

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Orange

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Decathlon

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New Balance

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Leroy Merlin

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Ikea

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T-Mobile

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Skoda

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Microsoft

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Trusted by the world’s most disruptive companies&nbsp;

With our experience and scientific approach to technology, we democratize AI and harness its capabilities to enable new ways to apply data to customers and business.

We were born in the cloud

and raised by data

A scalable, ultra-fast processing engine for real-time data management

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Terrarium - in-memory database

Heterogenic algorithms for quick identification of significant insights from oceans of data

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Cleora - AI framework

A “never-settle” approach that lets you expand our system to meet your needs 

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Octopus - ever-evolving stack for apps

We say no to vendor locks and believe in strong intellectual property. &nbsp;Our ecosystem is based on three pillars that let us stand out from the crowd.&nbsp;

Always innovate and never follow

Seamlessly integrate online and offline customer activities for a true 360-degree profile, updated in real time, while delivering customized content at scale.

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Retail

Monitor customer touchpoints for optimized content and pricing information in tailored conversion paths.

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E-commerce

Create a unified customer view across platforms, create precise segments in real time and use prediction models to manage churn.

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Telecommunications

Manage lead generation and sales funnel activity more effectively to drive traffic to showrooms, while enhancing the customer experience.

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Automotive

Use AI pattern recognition to enhance customer engagement, identify potentially fraudulent activity and ensure secure operations.

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Finance

As an open ecosystem Synerise adapts to any industry’s needs.

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Other industries

See what Synerise can do for your business

All of that is signal that's being continuously collected, processed, and then in turn AI is being applied, workflows are being applied to drive the experience" &nbsp;

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"They are able to track every event, across every channel, for the customer - whether it's mobile, it's web, it's retail, physical presence.&nbsp;

Your success is our victory.&nbsp;We work with you to help you reach business goals.&nbsp;We conduct award-winning projects with leaders, develop our technologies based on their experience and provide extensive support to those who want to stand out from the crowd. &nbsp;&nbsp;

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Let's win together as partners

Our spirit of innovation drives us to the best results

We replace yesterday's tools to create a better tomorrow

We push the limits of business performance

Synerise technology is only for the bravest companies

Curiosity and courage led us to create business tools that get results.

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We are happy to work&nbsp; with the bravest

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<h4>Duka is a premium brand in the segment of sales of kitchen and gift products used the potential of the Synerise platform to improve key indicators in digital customer communication channels. The first sales increases were visible just 24 hours after implementation. Here’s a closer look at the results of AI recommendations in the DUKA online store and how they help the brand gain and retain customers.</h4>

increase in online revenues from recommendations

increase in conversion rate in email campaigns year on year&nbsp;

<h2>Scandinavian design driven by AI</h2>

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Synerise cooperates with Orange Polska, the market leader in mobile telecommunications, internet and data transmission, by supporting their digital transformation and providing customers with the best experience of using modern technologies. Synerise solutions help Orange acquire and retain satisfied customers, driving an increase in the share of digital channels in overall sales.

Building better customer experience and growth in e-commerce

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Wittchen is a manufacturer of leather goods, fashion accessories and travel gear and has been on the market for 30 years. Is one of the most recognizable companies in the luxury brands segment in Poland. It sells its products, including handbags, wallets and suitcases, in over 100 locations in four countries and through online stores.

increased number of returning visitors

&nbsp;saved carts thanks to a bar with a discount code

AI helps to choose just the right purse

Success story

This translates into a number of conveniences in the purchasing process that benefit e-commerce customers, stationary stores, as well as users of the ‘My Carrefour’ mobile application.&nbsp;

<a href="https://synerise.com/press/news/carrefour-cooperates-with-synerise">Synerise</a> AI algorithms allow us to learn the shopping preferences of our customers and on this basis to tailor our commercial offer to each of the recipients separately.

Together we develop innovative tools for marketing automation and personalization. Synerise is characterized by openness, a pro-client attitude, creativity and a search for new paths to achieve business goals on many levels.&nbsp;

The cooperation between <a href="https://synerise.com/press/news/zappka-powered-by-synerise-among-the-worlds-best-solutions-in-retail ">Żabka and Synerise</a> is a true partnership.

We started with the implementation of AI recommendations. It went smoothly and took less than a month. In the first few weeks we achieved revenue uplift and average basket value on a satisfactory level. Synerise is fully committed to cooperation, open to feedback and improvements - full support and availability.&nbsp;

We chose the Synerise platform because of the wide range of AI products used in eCommerce, with the possibility to extend to other channels.

This is the first time I experienced such commitment on the part of a supplier. For me it is a model for cooperation with clients - full support and availability, even on Christmas Eve.&nbsp;

The AI recommendations implemented by Synerise increased revenue, reduced our site’s bounce rate and increased the average time spent on the site.

We always meet with openness, ingenuity and a quick response to emerging questions. Customer service and technical support of the platform enhance our relationship. Our cooperation is recognized in partner category.&nbsp;

Synerise makes every effort to ensure that the product delivered to SKODA meets our expectations in terms of functionality, availability and efficiency.

We want to show how we help to change the everyday lives of our customers. Synerise solutions successfully persuade our clients to use services from Orange and allow us to manage their experience while perfectly corresponding with our strategy.&nbsp;

We strive to make Orange the most successful telecommunications brand.

We are used to a reality in which creating scenarios and testing has always been very time consuming. Synerise has given us tools and support that allow us to flexibly launch and optimize new functionalities for our clients with minimal IT work.

In the extremely complex IT environment where we work, quick implementation of new solutions is not easy.&nbsp;

Recommendations allow customers to find products that match their preferences and choose add-ons, and the AI Search engine makes it possible to display matching models faster and better.

AI solutions from Synerise have provided a new quality of personalized shopping experience for our clients and improved sales.

We understand the potential of our customers better, have more knowledge about what they need, and we know when and where to engage them. We have noticed a 10% increase in conversions from ads, a decrease of 25% in canceled reservations, and an increase of 87% in open rates YOY. With Synerise, we most value our good relationship and an unconventional approach to business.&nbsp;

Synerise has greatly facilitated the collection and analysis of our data.

Since the beginning of our operations, we've focused on technology and innovation. When choosing Synerise, the versatility and capabilities of the solution, as well as the possibility of backend integration for both eCommerce and the mobile application, was very important to us. From the beginning of our cooperation, we have had the full and complete support of the Synerise team. The results we achieve together are at a very satisfactory level, and thanks to various planned scenarios and campaigns we expect to continue achieve even greater successes.&nbsp;

At Aza Group, we aggressively take on market challenges, responding quickly to changing circumstances and ensuring customer satisfaction.&nbsp;

Thanks to advanced data-gathering methods, we can effectively match communication to specific customers and focus on personalization, the foundation of all modern marketing strategies. Also, the tools allow for noticeable improvements on a site without the need for code-level interference. Working with Synerise means being ready for the future.

Synerise offers solutions that exceed the competition, especially in the field of AI.

Thanks to Synerise, we can better understand the needs of visitors to our online store and respond with specific, personalized suggestions. This makes shopping a better experience for customers and allows us to achieve our business and image goals.&nbsp;&nbsp;

Building relationships is particularly important for Wittchen since there is no greater asset than customers who identify with the brand and return for additional purchases.

The New Europe 100 list is about individuals from the region who are changing the world and improving people's lives with ideas that scale up in the digital world. It's about those who, with their courage for innovation, new-tech expertise, unique skills, and social outreach, are having a global impact. This list is both about people and their big ideas. We will seek and bring together personalities whose actions drive them and us to a better future.

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New Europe 100 by Respublica, Google, Financial Times

“The EY Accelerating Entrepreneurs program identifies leading start-ups who show an ability to present new business models and entry ways into markets. This year’s class is already solving big challenges, disrupting their markets and have cutting-edge technologies. We want to prepare these transformative entrepreneurs to expand from their local markets to a position of navigating and leading the world by pursuing their global growth objectives.” - Annette Kimmitt, EY Global Growth Markets Leader

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30 Global Innovative and Technology High Growth Start-Ups

Synerise became a finalist in the Retail Award Partner of the Year 2018 category. The winners were selected from over 2,600 participants from 115 countries.

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Microsoft Global Retail Award 2018 Runner Up

The CEE X-Tech Awards - at the intersection of capital and technology. The organization distinguishes both dynamic, early-stage X-Tech companies as well as top listed companies in Central Eastern Europe. Jury: International VC’s, Institutional Investors, and Pension Funds focused on CEE POLAND CZECH HUNGARY SLOVAKIA BALTICS ROMANIA BULGARIA UKRAINE

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CEE x-Tech Awards - AI Innovation of the Year

Awards

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Ready to step up?

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We have recently published <a href="https://arxiv.org/pdf/2003.04094.pdf" target="_blank" rel="noopener noreferrer nofollow">paper</a> about fashion retrieval. During our research ‪we achieved 54.8 mAP, 72.9 Acc@20 on Street2Shop and 47.3 Acc@1, 79.0 Acc@20 on DeepFashion dataset‬ - establishing new state-of-the-art results for both. We would like to share with You some ideas directly from our AI Lab. &nbsp;In the last 3 years, there's been a flood of research papers in AI and Machine Learning published by Chinese universities and companies. Strong incentives from government and industry, combined with the challenges of scale (almost 1.4Bn citizens) push the frontier of research in China forward at an impressive pace.Although the topics are quite diverse, there is a category of papers which are overrepresented when compared to western research institutions' output. The papers cover various topics, but their possible applications are common: mass surveillance. [10],[9],[2],[6],[1],[5],[8]One of the most popular applications of AI, is that of Person Re-Identification - which is linking the photos/videos from CCTV cameras to identities of citizens. As you can imagine, the task is quite challenging, due to various factors:<ul><li>cameras have different quality</li><li>angles, lighting &amp; visibility conditions vary</li><li>people can be partially occluded</li><li>people change clothes, put on hats, can wear sunglasses etc.</li><li>people travel between different areas, so location information is of limited usability</li><li>human body is capable of many different poses and movements</li><li>much more variety is present in the real-world compared to synthetic datasets.</li></ul>While tracking the progress made by China is scary, yet fascinating, can their state-sponsored research be re-purposed to directly benefit the end-user?In our paper [7] we propose an approach adapted from mass surveillance, which with some modifications, outperforms all prior research in fashion visual search.The problem of fashion retrieval / visual search sounds simple - given a user-made photo of a clothing item, automatically pick most similar clothes from a store's assortment. The user may take a photo of his/her friend, a photo of an item in a store, or upload a photo found in the Internet.<figure class="image"><img src="/uploads/92ee67516f1146168fea60107f1c34a0.jpeg"></figure>&nbsp;<figure class="image"><img src="/uploads/5793287d0e2a4bae8a40682d0bbafcb2.png"></figure>Intuitively, representation learning should "distill the essence of visual identity and similarity" of objects, and disregard all modifications &amp; transformations of input, which do not change similarity or identity.Some examples of transformations which do not change visual identity/similarity:<ul><li>facial expressions - while they can deform the face, they do not change a person's identity</li><li>clothes deformability - a crumpled sweater is still the same sweater</li><li>lighting, brightness, contrast, etc. - objects remain the same, while they look different</li><li>view angles, rotations, focal length, image resolution - they change the photo, but have no effect on the objects themselves</li></ul><figure class="image"><img src="/uploads/8ae1a1e73de046cdb5dce5e855441abe.png"><figcaption>Source: BU-3DFE dataset facial expressions</figcaption></figure>There are a lot more real-world transformations which can confuse ML models, but are naturally disregarded by people when evaluating "identity" or "similarity", e.g. weather conditions, mechanical transformations etc. Visual representation learning aims to be resistant to these transformations.<figure class="image"><img src="/uploads/4a37856354f74898924e4da893425c42.png"></figure>When it comes to fashion, we're interested in vector representations of clothes, where the same "fashion item" gets the same or similar vectors, regardless of where, when and how the photo was taken. In contrast, when it comes to mass surveillance, we'd be interested in vector representations of people, where the same person get the same or similar vectors, regardless of where, when and how the photo was taken, what the person was wearing and what pose they were photographed in.The two use-cases sound so much alike, that it's quite surprising that very little intellectual cross-pollination has happened between these areas until now.<figure class="image"><img src="/uploads/1fdf689c8630407f8b9518e8bba76c8e.png"></figure><figure class="image"><img src="/uploads/d3cf849c83bd444c9351600402016bb8.png"></figure>In our paper [7], we identify the similarities and differences between fashion and mass surveillance in depth. Then we successfully transfer latest research from Person Re-Identification to fashion retrieval for visual search.While the Person ReID models require some adjustments to work well on fashion datasets, the final results are quite extraordinary. Our best approach outperforms all prior published research in fashion retrieval and establishes new state-of-the art results on two commonly used datasets - DeepFashion and Street2Shop. The best model described in the paper is a foundation of our Visual Search product at Synerise, trained on our massive proprietary datasets.<figure class="image"><img src="/uploads/cde7e5214f1c4ba7861baee6a9ec6b68.png"></figure><figure class="image"><img src="/uploads/54c57fc3db5046e79c3d2fcd1649a23f.png"></figure>What's especially worth noting, is that our strong baseline model is much simpler than some of the recent fashion-specific approaches. The simplicity is apparent with regard to architecture, training procedure and computational resources required.This should serve as a reminder that good foundations, proper abstractions and picking the right problem to solve are often key to unlocking significant progress in research. As unlikely as it sounds, fashion and surveillance have a lot in common when thinking in the framework of representation learning.Here are some example results of our best model:<figure class="image"><img src="/uploads/57b12ba51c29453ea8be59a3150d2cca.png"></figure><figure class="image"><img src="/uploads/14f26899d7854cc0acef6c2da7829a6c.png"></figure><figure class="image"><img src="/uploads/3a15b5daf21840d39ada7f9e9eae3e2d.png"></figure><figure class="image"><img src="/uploads/454482facc9a42e3adb645e0ddd9f5e2.png"></figure>For more details &amp; nice pictures check out our paper with the appendix: [7].Jacek Dąbrowski / Jarek Krolewski[1] Dong, C. et al. 2019. DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification. Proceedings of the 27th ACM International Conference on Multimedia (Nice, France, Oct. 2019), 2531–2534.[2] Guo, Y. et al. 2019. Multi-Scale Convolutional Recurrent Neural Network with Ensemble Method for Weakly Labeled Sound Event Detection. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (Sep. 2019), 1–5.[3] Kuang, Z. et al. 2019. Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. arXiv:1908.11754 [cs]. (Aug. 2019).[4] Kucer, M. and Murray, N. 2019. A Detect-Then-Retrieve Model for Multi-Domain Fashion Item Retrieval. CVPR Workshops. 10.[5] Nie, J. et al. 2019. Understanding personality of portrait by social embedding visual features. Multimedia Tools and Applications. 78, 1 (Jan. 2019), 727–746.[6] Song, W. et al. 2019. Partial Attribute-Driven Video Person Re-Identification. 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Nov. 2019), 539–546.[7] Wieczorek, M. et al. 2020. A Strong Baseline for Fashion Retrieval with Person Re-Identification Models. arXiv:2003.04094 [cs]. (Mar. 2020).[8] Wu, L. et al. 2019. A Neural Influence Diffusion Model for Social Recommendation. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (Paris, France, Jul. 2019), 235–244.[9] Zhang, X. et al. 2019. TVV: Real-Time Visual Identity and Tracking with Edge Computing. Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks (Beijing, China, Mar. 2019), 419–424.[10] Zhang, Z. et al. 2018. Billion-Scale Network Embedding with Iterative Random Projection. 2018 IEEE International Conference on Data Mining (ICDM) (Nov. 2018), 787–796.

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Fashion retrieval is the challenging task of finding an exact match for fashion items contained within an image. Difficulties arise from the fine-grained nature of clothing items, very large intra-class and inter-class variance. Additionally, query and source images for the task usually come from different domains - street photos and catalogue photos respectively. Due to these differences, a significant gap in quality, lighting, contrast, background clutter and item presentation exists between domains. As a result, fashion retrieval is an active field of research both in academia and the industry.  Inspired by recent advancements in Person Re-Identification research, we adapt leading ReID models to be used in fashion retrieval tasks. We introduce a simple baseline model for fashion retrieval, significantly outperforming previous state-of-the-art results despite a much simpler architecture. We conduct in-depth experiments on Street2Shop and DeepFashion datasets and validate our results. Finally, we propose a cross-domain (cross-dataset) evaluation method to test the robustness of fashion retrieval models.

A Strong Baseline for Fashion Retrieval with Person Re-Identification Models

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Our Latest Scientific Paper With State-of-the-art results

Case study

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At Synerise we've mastered remote work as we've always been open to it and more than 10% of our staff is 100% remote on a daily basis, reaching us from different parts of the world through Microsoft Teams, Slack and other platforms.&nbsp;What's more, the team employed on site (in the offices in Warsaw, Krakow, Poznan) has always had the possibility of unlimited remote work. All employees had to do was tell their team leader in advance and let the rest of the team know before that they were planning a home office on a given day. In this way, each of our employees has experience in working from outside the office.&nbsp;However, even though we all know how to handle remote work, the current scenario is brand new to us. More than 220 of us are working from homes right now, and we have to make sure we’re doing it the best way possible.See what we do to keep motivation up!&nbsp;<h3>How do we deal with remote work in Synerise? &nbsp;</h3>We have decided to organize mandatory updates from each department daily to keep our employees informed and motivated. We present use cases, new implementations, client stories and inspirations that everyone can follow. This solution not only affects greater team visibility, but also helps us all to stay in sync - and helps us to learn something new about the company and Synerise capabilities.&nbsp;Each day from Monday to Friday, we meet virtually on Teams to discuss the most important things and to listen to each other. For 30 minutes, every member of the team has a chance to participate in the most exciting things we do as a company each day. &nbsp;<figure class="image"><img src="/uploads/bd1bc9a3c1bc42b6b19dfb5c292359d7.jpeg"><figcaption>An example of remote work at&nbsp;Synerise&nbsp;- a daily 30-minute inspiration call with dozens of people from across the company joining in&nbsp;</figcaption></figure>Such summaries are extremely valuable since we often tend to focus on the work of our own department. Thanks to these calls, we have the opportunity to look at the work of others, share ideas, be up to date and eventually even work out new things.&nbsp;In addition, each business team (in IT we do it always!), has implemented daily scrum sessions. We gather online at 11:00 to talk about current tasks and prioritization.&nbsp;But what, apart from group online meetings, can we do to mobilize ourselves to be even more productive?&nbsp;<h3>Ways to Defeat a Lack of Motivation&nbsp;</h3>Have you ever wondered which job levels work remotely the most frequently? &nbsp;According to data from <a href="https://www.owllabs.com/hubfs/Owl%20Labs%202019%20State%20of%20Remote%20Work%20Report%20PDF.pdf" target="_blank" rel="noopener noreferrer nofollow">Owl Labs’ 2019 State of Remote Work</a> report, jobs with the greatest percentage of remote workers are people hired at C-Level. &nbsp;Our current situation is giving everyone a chance to see what it’s like to be a senior manager. &nbsp;However, data gathered in this report also shows some doubts about “home offices”. It shows that managers whose employees work remotely usually face the following concerns:&nbsp;<figure class="image"><img src="/uploads/1af89c6e9be346a3b1e5b1de4db1afa6.jpg"></figure>Let's consider how to facilitate your daily work from home and be our own “remote manager”, encouraging us to not be distracted:&nbsp;1. Set a place to work - Of course, this does not have to be an office or separate work room; all you need is a neat desk or table without too much clutter. Most people prefer not to work on the couch to avoid the temptation to be too lazy. &nbsp;However, if this is your favorite place, allowing you to relax and focus, feel free to work here too. Whatever works, right? 😊&nbsp;2. Work out your daily routine - Do not work non-stop, for 24 hours, on weekends. We know that the laptop is tempting and so is working "after hours" instead of when you should be available to the rest of the team.&nbsp;Divide your day into working hours and non-working hours that you will devote to your family or hobby (of course, a hobby realized in this case from home). Try to start and finish work at the same hours every day; also avoid eating dinner in front of the computer.&nbsp;Also, try to dress as for work. Your morning should be like going to the office: eat breakfast, shower, get dressed normally, change position at work as you normally would. You can start at your desk, move to the kitchen and back again. The bedroom is never a good option. Take breaks for family talks — after all, in the office you also have time for small talk with your colleagues.&nbsp;3. Focus on clear communication – During our everyday work it's much easier for us to make contact with a colleague sitting at the desk next to us and talk about whatever’s keeping you busy at the time. Even if you can’t do it right away, there’s always a coffee break not too far away.&nbsp;At the moment, however, we do not have such an opportunity, so let's make sure that the emails we send and other forms of discussing projects are clear and specific.&nbsp;<h3>Tips and Tricks from Synerise Collegues&nbsp;</h3>&nbsp;These tips are just the basics. If you are interested in some more clever hacks for improving your working comfort and efficiency, check what our coworkers say:&nbsp;<figure class="image"><img src="/uploads/afbcba0b52854fa5b874aeb964985d5b.jpg"></figure><h3>Summing Up&nbsp;</h3>Take care of yourself but pay attention to the quality of your work. Remote work is the future standard so let's all try to learn something from our current situation.&nbsp;We hope that our advice will prove to be helpful and the transition to remote work, even for long periods, will be trouble-free and rewarding. &nbsp;

At Synerise we've mastered remote work as we've always been open to it and more than 10% of our staff is 100% remote on a daily basis, reaching us from different parts of the world through Microsoft Teams, Slack and other platforms.&nbsp;What's more, the team employed on site (in the offices in Warsaw, Krakow, Poznan) has always had the possibility of unlimited remote work. All employees had to do was tell their team leader in advance and let the rest of the team know before that they were planning a home office on a given day. In this way, each of our employees has experience in working from outside the office.&nbsp;However, even though we all know how to handle remote work, the current scenario is brand new to us. More than 220 of us are working from homes right now, and we have to make sure we’re doing it the best way possible.See what we do to keep motivation up!&nbsp;<h3>How do we deal with remote work in Synerise? &nbsp;</h3>We have decided to organize mandatory updates from each department daily to keep our employees informed and motivated. We present use cases, new implementations, client stories and inspirations that everyone can follow. This solution not only affects greater team visibility, but also helps us all to stay in sync - and helps us to learn something new about the company and Synerise capabilities.&nbsp;Each day from Monday to Friday, we meet virtually on Teams to discuss the most important things and to listen to each other. For 30 minutes, every member of the team has a chance to participate in the most exciting things we do as a company each day. &nbsp;<figure class="image"><img src="/uploads/bd1bc9a3c1bc42b6b19dfb5c292359d7.jpeg"></figure>An example of remote work at&nbsp;Synerise&nbsp;- a daily 30-minute inspiration call with dozens of people from across the company joining in&nbsp;Such summaries are extremely valuable since we often tend to focus on the work of our own department. Thanks to these calls, we have the opportunity to look at the work of others, share ideas, be up to date and eventually even work out new things.&nbsp;In addition, each business team (in IT we do it always!), has implemented daily scrum sessions. We gather online at 11:00 to talk about current tasks and prioritization.&nbsp;But what, apart from group online meetings, can we do to mobilize ourselves to be even more productive?&nbsp;<h3>Ways to Defeat a Lack of Motivation&nbsp;</h3>Have you ever wondered which job levels work remotely the most frequently? &nbsp;According to data from <a href="https://www.owllabs.com/hubfs/Owl%20Labs%202019%20State%20of%20Remote%20Work%20Report%20PDF.pdf">Owl Labs’ 2019 State of Remote Work</a> report, jobs with the greatest percentage of remote workers are people hired at C-Level. &nbsp;Our current situation is giving everyone a chance to see what it’s like to be a senior manager. &nbsp;However, data gathered in this report also shows some doubts about “home offices”. It shows that managers whose employees work remotely usually face the following concerns:&nbsp;<figure class="image"><img src="/uploads/1af89c6e9be346a3b1e5b1de4db1afa6.jpg"></figure>Let's consider how to facilitate your daily work from home and be our own “remote manager”, encouraging us to not be distracted:&nbsp;1. Set a place to work - Of course, this does not have to be an office or separate work room; all you need is a neat desk or table without too much clutter. Most people prefer not to work on the couch to avoid the temptation to be too lazy. &nbsp;However, if this is your favorite place, allowing you to relax and focus, feel free to work here too. Whatever works, right? 😊&nbsp;2. Work out your daily routine - Do not work non-stop, for 24 hours, on weekends. We know that the laptop is tempting and so is working "after hours" instead of when you should be available to the rest of the team.&nbsp;Divide your day into working hours and non-working hours that you will devote to your family or hobby (of course, a hobby realized in this case from home). Try to start and finish work at the same hours every day; also avoid eating dinner in front of the computer.&nbsp;Also, try to dress as for work. Your morning should be like going to the office: eat breakfast, shower, get dressed normally, change position at work as you normally would. You can start at your desk, move to the kitchen and back again. The bedroom is never a good option. Take breaks for family talks — after all, in the office you also have time for small talk with your colleagues.&nbsp;3. Focus on clear communication – During our everyday work it's much easier for us to make contact with a colleague sitting at the desk next to us and talk about whatever’s keeping you busy at the time. Even if you can’t do it right away, there’s always a coffee break not too far away.&nbsp;At the moment, however, we do not have such an opportunity, so let's make sure that the emails we send and other forms of discussing projects are clear and specific.&nbsp;<h3>Tips and Tricks from Synerise Collegues&nbsp;</h3>&nbsp;These tips are just the basics. If you are interested in some more clever hacks for improving your working comfort and efficiency, check what our coworkers say:&nbsp;<figure class="image"><img src="/uploads/afbcba0b52854fa5b874aeb964985d5b.jpg"></figure><h3>Summing Up&nbsp;</h3>Take care of yourself but pay attention to the quality of your work. Remote work is the future standard so let's all try to learn something from our current situation.&nbsp;We hope that our advice will prove to be helpful and the transition to remote work, even for long periods, will be trouble-free and rewarding. &nbsp;

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Due to the current situation related to coronavirus, on 5th of March, as one of the first companies in Poland, we have decided to arrange remote work for all employees.   We believe in the effectiveness and social responsibility of this change but it’s not a radical departure from our previous day-to-day activities. Lots of Synerise People work remotely every day since we cooperate in various offices all over the world.   However, we know that working from home, especially at the scale of the whole company, can be a real challenge. That’s why we’ve decided to share our knowledge about good remote work practices. 

How We Deal With Remote Work at Synerise

On our blog

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Synerise

A powerful ecosystem driven by Artificial Intelligence with real-time data orchestration created to drive business growth

Master data with AI and level up your business

We were born in the cloud and raised by data

Always innovate and never follow

Terrarium - in-memory database

Cleora - AI framework

Octopus - ever-evolving stack for apps

See what Synerise can do for your business

Retail

E-commerce

Telecommunications

Automotive

Finance

Other industries

Let's win together as partners

We are happy to work
with the bravest

Awards

New Europe 100 by Respublica, Google, Financial Times

30 Global Innovative and Technology High Growth Start-Ups

Microsoft Global Retail Award 2018 Runner Up

CEE x-Tech Awards - AI Innovation of the Year

Master data with AI and level up your business

We were born in the cloud and raised by data

Always innovate and never follow

Terrarium - in-memory database

Cleora - AI framework

Octopus - ever-evolving stack for apps

See what Synerise can do for your business

Retail

E-commerce

Telecommunications

Automotive

Finance

Other industries

Let's win together as partners

We are happy to work with the bravest

Awards

New Europe 100 by Respublica, Google, Financial Times

30 Global Innovative and Technology High Growth Start-Ups

Microsoft Global Retail Award 2018 Runner Up

CEE x-Tech Awards - AI Innovation of the Year

We are happy to work
with the bravest