About

Synthetica is a Data Science company that provides mission-critical software services to leading organizations in the Industrial Infrastructure Space. We are a young company of like-minded associates who firmly aspire to play a catalytic role in “Industry 4.0” - the so-called fourth industrial revolution, brought on by the rapid expansion and broad availability of innovative industrial technologies. More specifically, we have created Synthetica to develop and market innovative value-enhancing process optimization tools relying on advanced data-capture and predictive Artificial Intelligence (A.I) models. Synthetica has won contracts and has built strong client relationships with leading international players, and can demonstrate a track record of long-term revenues in the following sectors: •Maritime •Telecoms •Aerospace •Public / Private Sector Digitization

Solution & Product

At its core, Synthetica’s mission is to address issues of low productivity and capped efficiencies in businesses with asset-heavy industrial/infrastructure installed bases. Typically, most of these businesses tend to suffer from long-term structural performance limitations owing to: 1.tLargely non-digitalized processes, resulting in heavier-than-needed human involvement. 2.tInertia and limited reactivity due to low IoT (internet of Things) connectivity in the business model 3.tLoss of opportunity due to non-efficient information mining and sharing Synthetica designs, produces and installs proprietary software solutions specifically to remove these issues and upgrade processes for the A.I / M.L and IoT era, at a fraction of the cost required to install new hardware. It does so by leveraging the vast amount of data that both legacy and modern asset bases can generate, capture and store in ‘intelligent’ databases. This amount of data, if analyzed on time and correctly, can lead to significant efficiency benefits.

Innovation & Scalability

At the core of this business model stand the twin concepts of scalability and operating leverage: •Scalability: base product designed upfront to address needs of multiple potential clients •Operating leverage: limited customization costs for on selling of products to new clients Synthetica’s SaaS business model provides for significant growth potential as the product development process is specifically designed to maximize implementation adaptability and minimize new client onboarding costs. Synthetica designs, develops, and delivers industrial /infrastructure Mission Critical software services relying on a SaaS model with: 1.Huge addressable market comprising of both new and legacy asset bases with ever-increasing data harvesting needs and limited current supply of AI/ML solutions 2.High scalability due to ‘smart’ business model where development costs are covered with the first contract whilst on-sell efforts require limite The company's products are entirely proprietary and almost completely based on innovation. All apps and platforms are developed in-house, so as to provide full customisation, and with few rare exceptions, no outside or existing code libraries are used. Synthetica's own M.L engineers develop specific solutions for specific client problems. In addition, the company, through its client base, has exclusive access to otherwise unavailable datasets for the training of its algorithms, which ensures the competitive advantage of its products.

Traction & achievements

Although founded only 2,5 years ago, the company has already managed to achieve significant milestones, such as: •tRecurring revenue and successful up-sells from 4 industry leaders (including the largest Dry Cargo shipping company currently listed in the NY Stock Exchange). •tNew pilots already under execution for clients across 3 new sector verticals (clients include publicly listed companies and sector leaders) •tInternational recognition gained as a specialized AI/ML supplier in the industrial/infrastructure space, selected to participate in a prestigious EU-Funded technological development project (in partnership with aerospace giant Thales) •Award of EU structural-fund technology subsidy •Growth of team and office space, including establishment of new office in Cyprus •Word-of-mouth clients and highly positive feedback from market

Team & Why Us

Synthetica’s team consists of careful selection of stakeholders, at the head of which are the company’s two founders, that combine Tech Startup experience with a unique background of highly relevant scientific knowledge Founder A - CEO: •tRepeat Tech Entrepreneur •tFounder of Engineering Startup (UAV services provider) •tSuccessful development and exit through sale to logistics multinational company •tMechanical Engineer with experience in large infrastructure projects (Middle East) Founder B - CTO: •tMSc in Applied Mathematics (National Technical University of Athens) •tMSc in Data Science (Athens University of Economics and Business) •tExtensive specialization on Machine Learning & Fluid Dynamics applications •tDeveloper of groundbreaking Computer Vision & Satellite Image analysis software In addition to the management team, the company currently employs 27 developers and engineers in the following roles: •tData Scientists •tData Engineers •tBackend Engineers •tFrontend Engineers •tEmbedded Hardware/Software Engineer •tDevOps Engineer •tNaval Engineer Synthetica is collaborating with leading academic institutions in the content of which it currently employs 3 Data Science Engineers in internship positions. Historically the company has a strong conversion rate, having hired 2 employees from previous internship rounds.

Funding Needs

The company has identified a number of priority “needs” for new products, most of them requested by the clients themselves. Based on its experience to date, Synthetica foresees significant value and returns potential in building an interchangeable “components library” that will allow the delivery of innovative solutions , with limited on-sell customization costs. The company has therefore prepared the relevant product development plan and earmarked the corresponding requirement in additional funds. This funding round will provide the company with the necessary resources for investments in Data Science Engineering, Application and Product Development resources in general - and for the components library in particular - as well as the strengthening of its marketing team.