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Unleash the potential of artificial intelligence

Technology is at a tipping point.

The explosion of data – and emergence of powerful new technologies to exploit it – is enabling us to build the impossible. AI technologies like machine learning and expert systems are reshaping industries and disrupting business models. And they’re helping organisations to create opportunities, boost productivity and cut costs. How will you take advantage?

We look beyond the hype.

At Data Dog, we transform the way businesses plan, schedule and optimise their processes and operations. We’ll help you identify where technology can genuinely add value to your business. And we’ll work with you to co-create solutions that give you a competitive edge, while saving you time and money.

"Superior technical ability is rare. Ability combined with personality is rare still. The single most important factor in any partnership is people, and working with the team at DATA DOG is consistently stimulating and fun. They have proven over and over their ability to understand, question, drive forward and deliver on projects. I give them my full professional and personal endorsement."

Dr. Daniel J Hulme / CEO of Satalia

Make the shift to an AI-driven future

Data is today’s business currency. Invest yours wisely

Transformative technologies like AI allow firms to generate value from their data. Businesses must get on board with them sooner, not later.

But many lack the tools to reap the benefits of AI. That’s where Data Dog comes in.

How we help

We build bespoke, AI-based applications that revolutionise your resource planning, supply chain, sales and customer service operations. Our products can tackle isolated problems, or provide end-to-end optimisation.

Our cross-functional team is made up of software engineers, data analysts, mathematicians and product managers. Together, they create solutions that give you a competitive advantage.

"We have been consistently impressed with the team’s ability to deliver a complex application in a short time frame, and with their level of commitment and support."

George Mills

Value through agility and co-creation

We take a highly collaborative approach to developing solutions. Our clients become part of our team, and together we create products that meet their specific needs. We don’t work to rigid lists of pre-defined requirements. Using agile techniques, we iterate and deliver valuable features during every development cycle.

Our ethos allows us to dig deep into clients’ business operations and processes, and build innovative solutions which transform the way they work. It also helps us forge lasting partnerships with clients, as we’re continually finding ways to help them achieve more.

By the numbers

  • 30

  • 4
    Product Managers

  • 6
    Years of experience

Management team

    • Domas Janickas
    • Co-founder / CEO
    • Domas is passionate about latest advances in technology, data science and AI. He loves delving into our clients’ business challenges and finding ways to help them achieve more.
    • LinkedIn
    • Gytis Koryzna
    • Co-founder / COO
    • Gytis is excellent at balancing our ambitious goals with practical follow-through. His job is to ensure that our organisation is running smoothly and efficiently as a whole.
    • LinkedIn

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Read about us

Be more than a cog in the machine

We’re not big on hierarchy at Data Dog. The whole team works as one unit.

Our transparent structure is made up of autonomous, self-organising teams, and enables decentralised decision-making. Everyone’s ideas are equally valued, and equally open to question.

We know that the talent, creativity and innovation of our people is what shapes our future. That’s why we’ve built our own unique career development system, so that everyone has the chance to learn and grow.

What makes us tick?

Our purpose is to express ourselves and make a difference through the solutions we create.

What we do to achieve this is underpinned by our four core principles:

Create experiences

Inspire admiration and trust in every interaction inside and outside of the company.

Think like an owner

Every action you take has an impact on our success and growth.

Be a legend

Your passion and talent inspires everyone to never settle and to create the extraordinary.

Second home

It’s where friendships start, fun stuff happens and you have your slippers on.

Want to be a Data Dog?
Get in touch.

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View case studies

Take a look under the hood

Don’t just take our word for it. See how we’ve helped clients the world over to reinvent how they work.

EBB Medical

Creating a supply chain solution to support rapid business growth

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Swift Travel

Building a data powerhouse aligning separate business functions

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Last-mile delivery routing optimisation for the largest sofa manufacturer in the United Kingdom.

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Shifting to data-driven resource and operations planning

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Now discover what we can do for you.

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Due to the strict requirements for pharmaceutical drugs quality is crucial for the players in this industry. By building a centralised supply chain platform we helped EBB Medical to streamline their packaging and quality assurance processes which resulted in significant time savings. The new system also enabled batch traceability while leveraging reporting features simplified sales tracking and forecasting. With the stable core platform to manage the day-to-day, EBB Medical could shift their focus to business development. Their turnover has increased around 3 times over the last few years and the number of employees has grown more than 50% across the different departments. Such significant growth would have not been possible had they kept using the old methods, as EBB Medical estimates they would have needed to increase their resources around 4 times to keep the same pace.

Complex supply chain and lots of data

EBB Medical, a Swedish pharmaceutical supplier, sources their products from a number of different wholesalers within the EU and brings them to the Swedish market. The product pipeline is quite complex due to the number of parties involved: several manufacturers and packaging providers are used, all based in different countries. “We are a parallel importer,” explains Simas Sabonis, Market Analyst for EBB Medical. “We need to find the right products within the EU, repackage them and send them to the Swedish market.”

One of their challenges is the amount of data they need to manage on a daily basis. “We are working with medical products and have a lot of product information to keep track of,” says Pernilla Eddby, Managing Director for EBB Medical. Their previous process for storing data was a mixture of paper based documents and electronic records without clear structure. “We were using Excel sheets but the time came when we saw that it was no longer effective to use due to the growing numbers of products,” says Eddby. Because of the complex supply chain and inconsistent data management it was difficult to ensure traceability for their pharmaceutical products.

EBB Medical’s processes were also heavily reliant on manual labour: every order was double-checked by hand to ensure the right quality. With growing turnover it was becoming more and more difficult to manage. They needed a solution that would help ensure both the highest quality standards and traceability for their products. “Because we work with pharmaceuticals, quality is crucial,” says Sabonis. “The need to avoid human errors alone was a big enough reason for developing a custom software solution, so that we wouldn't need to waste time checking every little thing.”

Increasing speed and agility while maintaining quality

We created a custom supply chain management system which provided traceability and optimised the product pipeline.

Employees previously had to manually create purchase orders, packaging instructions and labels for their repackaging providers. It was a long and cumbersome process. Automated document creation and sharing eliminated a large amount of manual labour and made collaboration among supply chain partners a lot easier. Integration with EBB Medical’s resource management system helped to further streamline their product pipeline. By having clear insight into the various activities of their supply chain, EBB Medical have been able to increase the speed and agility of their processes. “It helped us optimise our quality assurance process,” says Sabonis. “Information is moving around faster, we are experiencing fewer errors and we are saving a lot of time.”

EBB Medical also participates in public tenders for pharmaceuticals used in hospitals and primary care centers. When the supplier’s prices are the lowest on the market they need to ensure uninterrupted supply of the drug for the whole month. With a centralised platform EBB Medical now have up-to-date visibility of their sales and can easily visualise their forecasts. Automated notifications help with ensuring that stock levels are sufficient to satisfy the projected demand and products approaching expiry date are disposed of.

“Initially the system was planned to be a database of product information,” says Eddby. But as EBB Medical realised the benefits of having a centralised data source, the scope of the system expanded. The system provides deep insight into all historical transactions, which has enabled batch traceability while leveraging reporting tools allows easy access to decision-ready information. “Today we are using it for creating quality documents, production and purchase orders, batch traceability, statistics and much more,” adds Eddby. The added transparency and traceability also had a noticeable impact on communication between the different departments. “The teams are up-to-date on what has been completed and what still needs to be done,” says Sabonis. With further system development we are moving towards providing direct access for their supply chain partners which would help to optimise the product pipeline even more.

EBB Medical has experienced significant growth over the last few years: their turnover has increased around 3 times and the number of employees has grown more than 50% across the different departments. With the new system EBB Medical was able to successfully manage this growth while maintaining both the quality and speed of their operations. “It’s a fact that without this system we’d probably have 4 times as many people if we wanted to continue working at the same pace,” says Sabonis. Having a single source of data also allowed the team to gain greater visibility into their workflow which has enabled batch traceability and made forecasting much easier. Eddby sees the system as one of the key elements of their success: “We would not have been able to grow as a company if we hadn’t taken the step to a computerised system.”

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A highly skilled workforce and excellent customer service are key to success. But effectiveness of your internal processes is just as important. Using an iterative approach to development we helped Swift Travel to streamline their pipeline and unearth the service benefits of using a central data source to manage all activities. The new system cut the average quotation process from 25 minutes to just 5 and standardised Swift Travel’s workflow. This eliminated errors, enabled close collaboration and added transparency to the process, which not only positively impacted team morale but also made scaling up much easier. All these internal improvements allow Swift Travel’s experts to focus on the most value adding activities as the same consultant can now deal with 4 times more clients.

Searching for the right tool

Swift Travel is a UK based travel specialist working with leading airlines, accommodation, cruise, rail and ground transportation providers. In such a competitive sector a seamless customer experience is essential. ”We’re quite boutique,“ says Edward Riddle, the Account Manager for Swift Travel, who nurtures the relationships with their corporate clients. “We require very deep knowledge of our client accounts to make it as convenient as possible for them to book travel.”

While Swift Travel’s customers enjoyed great service, the company’s quotation process was far from optimal. “We weren’t serving enough people. Our service level was high but the detailed quotation process was our major bottleneck,” says Riddle. “We were underperforming.” The employees spent a lot of valuable time tracking travel data and collating supplier information, creating documents manually and dealing with heaps of paperwork. It was time for improvements.

Riddle says the the idea to build the system came about because of the lack of effective sales tools in the market tailored specifically to the travel sector: “We searched far and wide before diving straight in and building it ourselves, but couldn’t really find the best match. There were CRM tools which were basically just glorified databases, and booking tools, there was nothing straight forward that handled both sides effectively.” He continues to describe the frustration with the tools available on the market, which, instead of helping, complicated the sales process even more: “Many were not fit for purpose. And the last thing we wanted to do is to destroy our process with even more destructive tools.”

From a quotation tool to a fully fledged pipeline management system

Our agile working processes let us start small and build iteratively towards a more comprehensive solution. What started as a project to speed up the quotation process evolved into a system that not only streamlined the whole travel planning pipeline but also helped Swift Travel bring its separate business functions together.

The first step was building a platform where enquiry information, once entered, could seamlessly flow to the next part in the process. We then identified the major pain points in the workflow: checking travel options with suppliers was both complex and slow due to the outdated technology that was used, while crafting quote documents manually was extremely time-consuming. Integration with supplier systems, automated document generation and email functions helped to significantly cut the time it takes to get from initial enquiry to the final quote. “We estimate that to get a quote out to a client took 25 minutes before. Now it’s 5 minutes,” says Riddle.

But we didn’t stop there. Swift Travel’s internal processes were full of opportunities to streamline and automate. Previously the employees were maintaining a pipeline of leads, managing follow-ups, booking trips and creating documents manually. “Without a coherent data management system it was difficult to share the information within the team. The manual nature of the process also meant we were putting too much reliance on a couple of people,” says Riddle. Expanding the system to cover the whole pipeline standardised the workflow and eliminated inefficiencies in the process. Together with intelligent reminders and diary function this has enabled Swift’s specialists stay on top of their leads and ensure a consistently positive customer experience.

With the new system Swift Travel employees have access to actionable customer data in one place: past bookings, interactions with the customer, their preferences and needs are just a few clicks away. While previously each booking was tied down to one account manager, the new system has enabled collaboration on customer accounts. “Having a central data source added more transparency and traceability to the process. Now we can effectively utilise sales support across the organisation. It’s far simpler and easier to scale,” says Riddle.

By continuing to build iteratively we were able to expand the system beyond the needs of the sales team. “When we realised what a powerful data source this is, we decided to add more functions to help us streamline our processes even further,” says Riddle. “The reporting of the data within the system has really simplified the way we track our numbers and helped to align a lot of separate parts of the business.”

The system has greatly streamlined the whole sales pipeline. Integration with the suppliers’ systems and automation of tasks allows Swift travel experts to focus on what matters the most: delighting their customers. “Our customer satisfaction rate has gone up,” says Riddle. “And the same consultant can now deal with 4 times more clients.” As Riddle reflects on the evolution of the product, he says it is hard to believe how much it has developed from the initial idea. Our Agile development methods coupled with Swift Travel’s eagerness to innovate made that transformation possible. As Riddle sums it up: “It’s amazing how much we’ve achieved with a small decentralised team.”

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The Challenge

DFS is the largest sofa manufacturer in the United Kingdom. As the demand for home delivery continues to increase, so too does the need for retailers to implement delivery operations that maximise efficiency and meet customer expectations. DFS’s existing process of scheduling orders was a complicated system of non-automated business functions. The schedules were far from optimal, manually intensive to produce and under utilised expensive resources.

Our solution

We developed a last-mile delivery solution which combines cutting-edge algorithms and machine learning to optimise the routes and schedules of thousands of orders every day.

In the previous method, operators would call customers to arrange deliveries, and only after all orders were arranged would a schedule be created. Operators could not offer customers’ specific time slots, as they did not know when during the day the delivery could be made. We built a custom algorithm that accounted for the various business constraints of DFS, including vehicle restrictions, loading times and driver shifts. We fine-tuned it to run a full optimisation in under 500 milliseconds, which was necessary for it to continuously offer the most optimal time windows to customers. In our solution, the schedule is live, and is re-optimised continuously. The newly generated schedule from one order informs the system of which slots the operator can offer the next customer. This helps operators to arrange only the orders they have the capacity to deliver, and maximises the number of slots they can offer their customers.

The time is takes to deliver furniture depends on factors such as it’s size, the proximity of parking and the number of staircases en route to the customer. These variables made it previously impossible to predict time at door and these ‘unknowns’ resulted in inaccurate schedules. We built a machine learning model that took product, telematics and locational data and predicted, based on previous orders, how long time at door would be. These time at door predictions were then fed back into our algorithm — improving the accuracy of future schedules.

We regularly tested our system, it’s features and usability with the technical teams, operators and drivers of DFS to ensure it met their operational needs. We worked together to build business intelligence dashboards that enabled operators to make more informed decisions. Time slots for instance, were coloured green, orange and red; and operator’s encouraged customers to choose ‘green’ slots — which if selected, would result in a more eco-friendly delivery schedule for DFS. The solution was hosted on the Cloud — this ensured the solution would scale with demand, and our algorithms had the computational power to run at the speed and frequency that the system required.

Against leading vendors, our solution increased capacity by around 5% and reduced idle time by 10% — this meant DFS could use less vans, and fewer drivers to make more deliveries. These marginal gains result in significant savings across thousands of orders every day. It has also enabled DFS to offer time slots, which improved customer experience and loyalty. “The speed and effectiveness of the rollout has been outstanding. I’ve overseen many system implementations in the last 10 years — and I’ve never seen anything as stable and as user friendly from day one,” says Daniel Wallace, Head of Supply Chain at DFS.

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When your operations planning depends on meticulous analysis of thousands of interconnected data points, relying on manpower alone is far from ideal. With Greengold’s domain expertise we were able to deconstruct their business process and used it to create a flexible platform with data-driven forest management at its core. The system completely transformed Greengold’s resource and operations planning which significantly boosted efficiency and resulted in dramatic quality improvements. They estimate that sustaining the same quality and efficiency levels using the old methods would require increasing their resources by a third. It hasn’t gone unnoticed by customers as well: since competitor solutions lack sophistication the system has become one of the key differentiators for Greengold.

Realising the need to use data

Greengold is an independent Swedish private equity house specialising in timberland investments and management in Europe. Property-related data is an essential element of their workflow. “We operate in several different countries, so there is lots of data. One of our major challenges is managing all that data effectively,” says Simonas Žebrauskis, Greengold’s Investment Manager for the Baltics region. “We have a stream of potential investment opportunities and we need an effective way to track and evaluate them. Then, once we identify the right properties and acquire them, the data we have gathered needs to feed right into our planning process.”

Due to the nature of the business, changes in Greengold’s customers’ investment portfolios are quite frequent. “We constantly acquire new timberland assets and sell existing ones,” says Darius Dumbrava, IT Manager and Forestry Technologist for Greengold, “and new clients usually bring their own portfolios with them.” These changes are problematic, because the management of forest operations and resource planning are highly dependent on a number of property-specific factors. “There is a lot of interconnected data and business logic involved.”

Greengold’s existing process for gathering data about each property was inconsistent and manually intensive. This meant that acquisition of new properties was slow and inefficient and that resource planning for existing properties was very complex and labour intensive. “We needed to start using data and we had to do it effectively. If you are shuffling through the papers for half a year, you are not competitive,” comments Dumbrava. “There are certain cycles in forest management that we need to take into account when planning, and when you accumulate a certain critical mass it becomes impossible to effectively plan using manual methods,” adds Žebrauskis.

In order to stay ahead of the competition Greengold needed a solution that would make their in-house processes more effective and allow for a slicker customer experience. “We spent two months on an intensive search for an off-the-shelf solution, but we couldn’t find anything suitable. The software tools available in the forestry sector were either simple databases or task organisers, there was nothing that would be sophisticated and flexible enough for our needs,” says Dumbrava.

Transforming resource and operations planning

Working together with Greengold to understand the intricacies of forest management we built a flexible business platform which enables data-driven resource and operations planning.

The new system allows for quick and painless absorption of information about new properties. This has greatly improved the experience for Greengold’s customers as changes in their investment portfolios can now be processed much faster. “Clients like the visibility, ease of access and the clear structure of the information, and the fact that we can provide them with quick answers even to the unconventional questions,” says Dumbrava. He also adds that the inherent flexibility of the system has made expanding the business into new markets a lot easier: using modules allows them to test new approaches while keeping the core of the system intact.

Our solution has also helped Greengold to completely change their operations planning process. Forestry activities required at each growth stage are determined by specific rules and data about the trees within the property. Therefore, employees needed a long learning process to get familiar with the specifics of each property before they could start managing them effectively. “It’s not an easy task to make sure that everything gets done and that it gets done in the right order, especially when the workload increases,” says Dumbrava. By gaining a deep understanding of our client’s business process we were able to build the business logic into the core of the system and help Greengold shift to data-driven operations planning.

“We were just releasing the resource planning module of the system into live when one of our key sales people left. We decided to rearrange priorities and see whether we could keep going with the existing resources. And it worked because the system had automated a large part of the workload,” says Dumbrava.

Based on data specific to each property the algorithm forecasts the activities that will be required for each of the plots within the properties and allocates them to employees. The integrated resource planning module gives the staff flexibility to adjust the schedules as needed. “We can forecast when the work will be finished and there is also no risk of losing an important task as it ends up in someone’s queue anyway,” says Dumbrava. To help employees make the most of the system, the user experience on mobile devices was designed after carefully analysing the needs of employees who require access on the go. As a result, planning of forest operations is now efficient and simple.

The new system automated previously labour intensive processes which has dramatically improved quality and efficiency. Žebrauskis estimates that if they tried to maintain the same quality and efficiency levels using the old methods they would need to increase their current resources by a third. Moreover, since such an integrated solution is unique in the forestry sector, it has become one of the key differentiators for Greengold: “We advertise it as a benefit to our clients. It is not just software: there are complex business rules, there is data and there are tools, and those three elements make up a unified system,” says Dumbrava. Žebrauskis adds that the system is now an integral part of Greengold’s business: “I believe it adds massive value. Being able to visualise the data that we have and using it to drive our planning helps us make faster and better decisions, with higher returns.”

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View our journal


photo  |  2019-08-06

If you would own an ice cream

video  |  2019-07-09

If you would own an ice cream

video  |  2019-07-09


photo  |  2019-06-26

Studying is worth it

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video  |  2019-06-14
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status  |  2019-04-15

What does Data Dog do? At Data Dog we empower organisations to shift to AI driven future, revolutionise clients’ resource planning, supply chain, sales and customer service operations. Our software solutions and products are capable of tackling isolated problems and provide end-to-end optimisation. The cross-functional team at Data Dog is composed of software engineers, data analysts, mathematicians, quality assurance engineers and product managers. What it means to be a QA in Data Dog: As a QA you will work on a challenging optimisation project facing a lot of corner cases together with a supportive team willing to collaborate. Your daily routine will consist of analytical and collaborative work. Also “One of the enjoyable parts of this project is smooth and efficient communication with the client” - says Vytautas, senior developer of the team. Any desire to learn, switch career path, mentor or train others is appreciated and encouraged with an individual and financial support. Willingness to work remotely at times is possible and realizable. Your responsibilities: Execute manual and write automated tests using Behat Execute system testing, acceptance testing, regression testing Write documentation Collaborate closely with the development team Participate in meetings and calls with the client Analyse client requirements Stay up-to-date with new testing tools and test strategies Own, drive and improve testing process within a development team following Agile methodology (Kanban method) Share knowledge and know-how inside and outside the team What we expect from you: 2+ years experience working as manual QA Specialist Strong knowledge of software QA methodologies, tools and processes Understanding of SDLC Automated testing basics ISTQB certification (bonus) Highly proficient in written English Strong communication and analytical skills Experience using issue and project tracking tools such as Jira

status  |  2019-02-13

We tend to look

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Waiting for the guests! Excited

photo  |  2018-09-27

Tomas on stage

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photo  |  2018-08-21
photo  |  2018-07-26

#vilniausmaratonas #partyhard

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