WaveAccess

WaveAccess supported MATA Energy, a German startup that develops an ecosystem for optimizing grid operation, in building the minimum viable product (MVP) of a custom platform for smart energy supply from the ground up.

Challenge

MATA Energy sought an external development team with the right experience and domain-specific expertise to assist in creating an MVP for their platform aimed at digitizing energy grids. This platform is designed to facilitate sector-coupled energy supply, improving its transparency and efficiency for neighborhood residents, municipal utilities, and grid operators. Ultimately, this initiative aims to enhance sustainability, cut costs, and boost operational effectiveness.

“We picked WaveAccess as developers mainly because of their great strategic approach and understanding of startups, along with their extensive experience in IoT, cloud tech, and the energy industry,” notes Christopher Giesken, CEO of MATA Energy.

Solution

WaveAccess built a web app to monitor and manage data from various energy-related devices within a neighborhood. The IoT platform enables thorough oversight and analysis of solar energy generation, distribution efficiency, and energy consumption for heating, cooling, and car charging. 

MVP key features:

• Customized dashboards for property managers, house owners, engineers, internal energy operators, and public energy operators; 

• Real-time data gathering and visualization, along with historical data analysis; 

• Heat grid diagrams;

• Alerts for equipment malfunctions.

Technologies

• Frontend: Angular, Typescript;

• Backend: .NET, Azure Event Hubs, Azure AD B2C;

• IoT: Azure IoT Hub, LoRaWAN, iMSys/Ethernet/WiFi/Modbus;

• Databases: Azure Data Explorer, Azure SQL, Azure CosmosDB, Azure Data Lake Storage, Redis;

• Infrastructure: Docker, Azure Kubernetes, Azure Container Registry, Azure Application Insights, Azure Alerts.

Result

With us, MATA Energy gained access to rare expertise, saved time and money, and could expand the team as needed.

ValueXI is an Artificial Intelligence Engine designed to accelerate your AI project development and overcome critical challenges, while enabling AI smooth end-to-end integration into any infrastructure, and facilitating efficient use of AI across various business units. 

This is a customizable low-code platform for processing input data with Machine Learning algorithms in the form of a handy and smart visual editor. 

Key capabilities:

• Lead scoring
• Sales boost
• SLA improvement
• Ticket routing
• Risk prediction
• Failure prevention
• User preference detection
• OCR scan enhancement
• Resource optimization

With ValueXI, you can expect:

• Quick start with reduced Data Scientists' involvement; 
• Automated routine for in-house DS team (if you have one);  
• From PoC to production-ready AI in just 1 month; 
• End-to-end integration, ensuring GDPR compliance;  
• Reduced time-to-market by 3X; 
• Saving up to 90% of resources.

To top it off ValueXI works in the cloud or on-premise! 

Our team, seasoned in AI development and system integration, supports you every step of the way, maximizing the impact of AI in your operations.

Visit https://valuexi.com/ for detailed insights, and feel free to request a 15-minute demo to personally experience how remarkably simple and convenient the tool is.

Challenge and the business objectives:

Wholesale Flights, an American boutique travel agency specializing in business and first-class airfare, faced a challenge: how to effectively manage incoming requests for flight tickets from website visitors? 

Clients would submit requests on the website, specifying their flight preferences, and travel managers would contact them with personalized proposals, complete with optional services. However, managers were contacting users based on the order of request receipt, potentially overlooking valuable opportunities while engaging with disinterested leads. 

The primary goal was to boost the conversion rate of incoming inquiries without increasing advertising expenditure or investing in extensive staff training.

Solution: request processing with ValueXI 

Our strategy involved addressing two key challenges: 
— Identifying genuinely promising leads and assessing their readiness to engage with a manager; 
— Evaluating user inquiries to allocate them effectively among travel managers with a high likelihood of securing a sale promptly.

Leveraging the ValueXI AI Engine, we've developed a machine learning-based platform that facilitated:

— Predicting the likelihood of lead conversion and estimating its profitability based on input data; 
— Augmenting inquiries with supplementary information, such as potential bonus mile usage and purchase readiness; 
— Assessing the performance of sales managers using a comprehensive set of metrics; 
— Automatically assigning high-margin queries to the most efficient sales managers; 
— Monitoring website traffic and correlating it with sales figures; 
— Evaluating the profitability of each advertising campaign; 
— Recommending additional services to repeat customers based on their purchasing history. 

The solution was seamlessly integrated with a range of advertising platforms (including Google, Yahoo, Bing), email marketing systems, and the systems of insurance partners involved in the business processes. 

Results:

— Sales boost. The enhanced prioritization of leads from the client’s website resulted in a 17% increase in airline ticket sales, surpassing the company’s expectations almost threefold. Additionally, the processing time for prospective inquiries was slashed by 3x.

— Time efficiency. Besides, the staff experienced significant time savings. Instead of sifting through low-quality leads, they could focus their efforts on more productive tasks.

— Team productivity. Employing ValueXI not only accelerated AI development but also lightened the workload of the Wholesale Flights’ in-house team, enabling them to concentrate on core objectives.

Client: An US-based distributor of AEDs including Philips, HeartSine, Defibtech. 

Goal: Integrating UI and other customer’s systems with the portable scanning device.

Solution:

A fully automated and cost-effective workplace for scanning patient’s carotid arteries that automatically identifies meaningful frames with potential anomalies (cholesterol plaques) and the best places to measure artery wall thickness in ultrasound scanning results.

Key features:

• UI: Allows for streaming, saving and opening saved videos.
• Video streaming: Integration with the scanner was implemented. 
• Scan storage: Patient’s scanned images are saved into the special service via FTP. 
• HIPAA Compliant hosting: The cost-effective and secure hosting was configured, in accordance to US laws about data protection.

Result:

• The solution allowed for speeding up scan transcripts by a factor of 5.
• The error probability associated with the human factor has decreased.
• Process automation has freed medical specialists from routine operations and relieved our client of the need to increase the number of costly professionals.

Goal: Decrease the number of accidents, maintain the company’s resources, protect the environment: 

• Improve logistics based on machine learning technology
• Increase the time available for decision making 

Solution: A machine learning based subsystem (Vessel Traffic Management System component) that displays both real and predicted ships’ courses.  

Key features:

• Prediction of courses: the system shows predicted ships’ courses, in a range of a few minutes.
• Comparison: in order to confirm the accuracy of the prediction, both real and predicted courses are shown on the same map.
• Tracking in time: both real and predicted courses can be shown for the decided period of time.
• Heatmap: shows areas that are most and least visited.
• Logging: access to events log.

CaptureNow, the SaaS solution provider for consumer-based law firms, had a tight timeframe to develop their product before the go-to-market launch. Once the proof-of-concept was developed, they realized they didn’t feel comfortable enough to build their own dev team and meet the deadline. They decided to engage us to develop a multi-tenant portal for lead capture and customer experience management. The system was supposed to serve as a core to create AI legal assistants.

Milestones 

We collaborated to architect the app so that it could scale as much as the client wanted, so we factored in overnight explosive growth capabilities.

MVP was built within six weeks. After analyzing the beta, we suggested architectural and infrastructural changes that allowed us to 10x the app's speed and ensure the convenience of further support and dev.

Solution's key features

The SaaS-based platform CaptureNow allows users to reduce the cost of customer retention and increase the number of requests and positive feedback. It allows for lead capture automatization (tracking, notifications, etc.), integration with lead generation channels, lead integration into user's CRM, ability to build voice bots out of the box, etc.

Technologies

• The architecture is built on Amazon Cloud solutions
• A multi-region app architecture helps with fault tolerance, low latency, growing a user base, increasing operational flexibility 
• Frontend: Angular 13, Angular Material 13, PrimeNG 13, RxJs 7.5, Typescript 4.6, ESLint 8.12, WebSockets (SignalR) 
• Backend: Elastic container service + serverless architecture on AWS, .NET 6 LTS, AWS SDK, Entity Framework, Aurora Serverless v2 (PostgreSQL), DynamoDB, Terraform, SEQ centralized logging, AWS SES, S3 FileStorage, SNS+SQS (service bus + EventBridge)

Results

• We brought the app to a successful launch 6 months after the start of development 
• Over 160 beta clients were engaged by that time 
• The client’s savings amounted to ≈ 50% by hiring our team

Client: Major telecommunication company.

Challenge:

Telecommunication companies are constantly exposed to fraud attacks. There are attempts to gain access by using fake IP addresses, stolen credit card numbers, password matching and other attacks. The suspicious actions are easily confused with the actions of a simple user, e.g., with an input error or access from a new device.

Therefore, the standard software protection tools become less effective and just downloading antivirus software doesn’t work — special tools are required to study user behavior and compare it with potential threats.

Goal: Develop the protection module that can tell different fraudulent actions from millions of normal actions of the portal’s users.

Solution: A Machine Learning based module that helps safely protect telecom companies. The system detects attacks in time, even if more than a million accounts are logging in.

Key features:

• Data monitoring and gathering;
• Keeping of gathered data, intermediate results, and service data;
• Sorting of threads’ attributes and analyzing threads probability;
• Determining the actions in response to an incident.

Technologies:

• Backend: Java 8, Spring 4, Spring Boot 1.4, JDBC Template, jFuzzyLogic 1.3, FlywayDB, ThymeLeaf, OpenCSV
• Client part: Bootstrap, JQuery
• Database: PostgreSQL 9.4+
• Тesting: JUnit, Selenium + PhantomJS driver, JXLS Reader, SoapUI.

WaveAccess has been partnering with Transaction-Network to create a new integrative platform that connects companies that build machines with its end customers — the producers — in after-sales support. The platform is used to manage the machines after they are sold (digital twin), monitor the systems (IIoT), plan maintenance and service as well as control them in advance (predictive maintenance), and place after-sales offers. 

For the new digital platform, the competencies of WaveAccess and Transaction-Network, a German company for the development of digital ecosystems specifically for mechanical engineering, have been combined. Together, they have been creating an integrative, all encompassing, platform that optimizes the interaction between people, systems, machines and platforms. 

The platform from WaveAccess and Transaction-Network offers a wide range of functions and tasks for optimizing the entire processes in after-sale support:

• Digital twin: The system enables the management of the digital twin including all related documents and information;
• Online store: Used for the sale of spare and wear parts;
• Condition monitoring: Triggering of transactions based on data and IIoT scenarios;
• Customer Service and Maintenance: Integrating the maintenance and service calendar together with the possibility to request and book service including history, documentation and contracts.

Digitalization can only succeed with the use of the latest technologies in the areas of IoT, cloud platforms and Artificial Intelligence (AI). WaveAccess and Transaction-Network rely on open and advanced technologies for the implementation of the platform, such as:

• Java as an object-oriented programming language; 
• Spring Boot as a framework for easy development of self-contained Spring applications;
• Docker for isolating applications via containers;
• Amazon Web Service (AWS), MS Azure, and other data centers for cloud computing.

Client: A general contractor for innovative IT solutions for the public sector.

Goal: Develop a system for detecting illegal deforestation and farmland usage in some regions using satellite data.

Solution and its key features:

A system gets a satellite image and detects (using a machine learning algorithm that compares image with historical data): 

• whether (illegal) deforestation was in a given area
• or the given agricultural lands are overgrown.

Result: Better forest monitoring and preservation, efficiency of agricultural resource management.

Technologies:

• Infrastructure: Kubernetes, Docker, Apache Zookeeper, Load balancer / nginx
• Data Storage: DBMS Tarantool, Clickhouse, PostgreSQL
• Programming Languages: Go, Java, Python, Javascript, Lua
• App Services: Spring Boot, Spring Security, Spring MVC, Spring Data, Java
• Data Exchange: MQTT Broker, Apache Kafka
• Web: Angular, nginx, Javascript
• Data flow (CEP): Python/Lua, Tarantool

Challenge 

Once harvested, crops are vulnerable to decay caused by environmental conditions, as well as damage during harvesting, transportation, or storage. The spot of decay can spread dramatically and it is crucial to notice this in time and prevent spread of rot and ultimately save the crop. However, the onset of the decay process can be determined by an increase in temperature within the stored crop pile or in a bulk of grain being stored. And this is where our IoT solution comes into play.

Solution

cropSave is a hardware and software suite, comprising a web monitoring app built on the Thingsboard CE IoT platform and LoRaWAN devices (thermal rods), which were developed by our team.

How it works

Multiple thermal rods are positioned throughout the stored crops, ensuring even distribution across the entire area. Each thermal rod is composed of several 1-meter-long pieces, equipped with temperature sensors, allowing temperature monitoring at various depths within the stored crops. Whenever the temperature in a specific area increases more rapidly than the ambient temperature, an alarm is promptly displayed in the app. The trend in temperature inside the storage and outside from the weather station or from the non-immersed part of the thermal rod can be tracked on a graph.

The thermal rod is water- and dust-resistant, flexible, and resistant to mechanical influences. It is an autonomous device powered by a durable Li-SoCl2 battery. It includes a GPS sensor for precise location tracking within the storage facility, an accelerometer for theft protection, and a LoRaWAN module for transmitting data to the cloud monitoring solution via a LoRaWAN gateway. 

To build our solution, we utilized the LoRaWAN WisBlock modules, sensors, and gateways provided by RAKwireless. The LoRaWAN standard offers low power consumption and extensive coverage.

Results

By employing our solution, we anticipate that our customers will be able to reduce crop losses by 20%.

Client: SKOV A/S — the leading provider of climate and farm management solutions for livestock production.

Goal: Create a complex analytical tool that facilitates digital transformation for animal farms, gathering and visualizing data collected from devices and providing insights on farming efficiency.

Solution: the Episcope platform that serves as a reliable decision-making support for farm managers, embracing three services:

• Benchmarking;
• Trend warnings;
• Animal weight prediction using AI.

Business value:

• Delivering the insightful data to farmers in a clear and interactive manner;
• Сomparing farm performance metrics against competitors anonymously;
• Facilitating productivity growth, setting benchmarks and identifying areas for improvement;
• Tracking weight and predicting the optimal delivery date, maximizing feed efficiency and conversion;
• Reducing costs;
• Reducing environmental impact by efficient resource management.

Challenge:

Digital business today utilizes a variety of  software: various cloud services and databases, CRM systems, document and financial management systems, marketing automation systems, etc. These systems often can’t communicate properly, which causes a lot of manual work, time wasted and non-sync processes, and often leads to clients losses and profit shortfalls. 

Solution: 

To help business prevent the negative impact of software landscape complexity we have developed an easy and smart solution – Wave.Integrate, integration and data migration platform.

Wave.Integrate connects business applications, data sources and other software platforms – wherever they may be hosted – into one integrated ecosphere.

Features:

— Data exchange between various systems 

— Ability to develop  complex algorithms that can process cyclical links of any level

— Resolving typical challenges when migrating between systems

— Multitasking (parallel) approach for quicker and higher quality migration

— Ability to schedule migration processes

— Flexible customization to fit specific needs of any migration challenge and business needs

Use cases:

— Import data from several different systems to another one

— Synchronize data between various systems

— Migrate data from previous Microsoft CRM versions to Dynamics 365

— Embed an integration engine in your vertical solutions

— Extend access to your CRM for external users

— Transfer data from any other CRM to Microsoft Dynamics

Integration is made easy:

— Wave.Integrate has a constantly growing library of ready-to-go connectors for most popular enterprise applications and databases

— Any custom connector can be created according to your request (which takes from 2 hours to 7 days to create a connector for any existing application)

— Predefined integration scenarios are available for most common integration cases

— In case no predefined scenario meets your exact needs, it can be easily customized using Wave.Integrate embedded tools

Client: British assurance, inspection, product testing and certification company.

Goal: The client offers a new service, a sustainability certification, and wants to gain advantage of blockchain as an immutable storage to build trust.

Solution: A blockchain-based storage with web interface was developed with a search interface to check for certificates, based on Hyperledger Fabric 1.4 and deployed in Azure Cloud. 

Key features:

• Full text search, search by product criteria and by certificate number.
• Product, producer, and their certificate information.
• Certificate copy download.
• Metadata and certificate file validation by data stored in blockchain.
• Blockchain data browsing.
• System administrator can add new brands, programs, product categories, products, and certificates, using Sharepoint as CMS.

Technologies:

• Environment: Microsoft Azure Cloud
• Blockchain: Hyperledger Fabric 1.4
• Blockchain Adapter: Node.js 10.15.2 LTS + Express
• Back-end: .NET Core 2.2, Entity Framework Core 2.2, SQL Azure
• Front-end: Angular 7.1, TypeScript 3.1

How it works:

myQuiz lets users create their own quizzes and polls online using 3 game modes: Multiplayer, Single-player and Team mode. Participants get points for giving correct answers, and the quickest ones also get bonus points. The player (team) who finishes with the most points is the quiz winner.

myQuiz requires no installation and works on any device with Internet access.

myQuiz is commonly used for:

• Team building
• Brand promotion
• Client engagement
• Lead generation
• Professional training

Game engine features:

• Multiplayer (MPM) /Team trivia (TTM) / Single-player (SPM) quiz modes
• Advanced questions options (hints, correct answer comments)
• Customizable scoring system
• Polls
• Slides 
• AI driven questions (drawing, dancing)
• Game access restriction mechanisms
• Streaming integration

Business related features:

• Advertisement engine (promo windows)
• Branding customization capabilities
• Marketing API integration / Analytics
• Technical support for both live and virtual event formats 
• 100,000+ players capacity

Customer segments:

• Event management companies / Professional entertainers: Live audience engagement and entertainment
• Marketing professionals: Audience engagement and lead generation
• Educators: Tests automation and students engagement
• HR professionals: Company values promotion and employees engagement

Among the users of myQuiz: Microsoft, Vodafone, Veeam, ASUS, MSI, IEEE, WWF, ESET, Jim Beam, Qatar Airways, Yamaha, Wrike, Helly Hansen, Valio, Henkel and many others.

Client: Syncronology — a company specialising in software solutions that enables and promotes process excellence and enhanced business performance through innovation, user engagement and smooth implementation.

Goal: Develop a quality management system product.

Result: Singlepoint — a no-code, 100% web-based platform.

• Embraces preset solutions that can be quickly adapted to specific needs including: Organizational Control (Document Control, Visual Navigator), Absolute Reporting, Radar Dashboards, Health and Safety (Incident Manager, Risk Manager), Quality and HR (Training Records Manager, Competency Checker) and many more;
• Allows creating customized enterprise applications in a matter of weeks, such as: New Product Introduction, Customer Complaints, Contract Management, Supplier Management, Expense Claim and Travel Authorization, Holiday Request etc.

Business value:

• Ensure visibility: Make better decisions based on accurate data, visual dashboards and real-time reports;
• Maintain control: Instantly access up-to-date and relevant data from anywhere anytime across devices;
• Drive productivity: Improve operational efficiency, simplify collaboration between departments and benefit from time savings;
• Streamline processes: Mandate workflows, expedite necessary actions and approvals, ensure process continuity;
• Improve collaboration: Seamlessly connect workflows to relevant employees, customers and suppliers, reduce response times;
• Go paperless: Eliminate flow of uncontrolled and outdated documents, reduce environmental footprint.

Ready-to-use Hotel Booking Engine by WaveAccess is the ultimate tool to accelerate the hospitality dev project 2 to 3 times. 

It provides a unique opportunity for travel companies to build their own fully-customized technology-driven IT platform. It ideally suits the companies reliant on third-party technologies but looking to develop their own solution for greater flexibility and control over their operations. It can serve as a solution to replace parts of outdated or non-scalable existing systems.

With the purchase of a license for the Hotel Booking Engine, you will receive: 

• Hotel search and booking engine aggregating real-time availability from direct contracts, various bed banks and selling them to end-customers;
• Ready-to-use modules, allowing deploying any new travel and hospitality projects at any stage;
• Unique, technically complicated features that give a competitive edge over other booking services;
• Technical and maintenance support services for your in-house team.

Details — https://www.wave-access.com/public_en/services/travel-software-consulting-development.aspx.

Client: 

BaseCon is a pharmacovigilance software company from Denmark. Established in 1999, BaseCon has become the go-to pharmacovigilance solutions provider that is easy-to-use and also enables streamlined drug safety practices in accordance with regulatory requirements. The company’s solutions enable pharmaceutical companies and contract research and safety organizations to achieve compliance. 

Project goal:

BaseCon needed to integrate the their smart pharmacovigilance platform with Viedoc, an EDC system for pre-certificate clinical trials. So they reached out to WaveAccess to develop an integration solution to coordinate Basecon and VieDoc data fields and allow users to easily and efficiently retrieve all the data they needed.

Solution: 

WaveAccess developed the integration module that coordinates BaseCon and VieDoc data fields and created a mapping editor. We also created a user-friendly interface for the screens they made and conducted part of the testing validation. The key tech challenge was to create a flexible editor of mapping and connection details, and WaveAccess produced the responsible, trusted outcome of a successful product.

What was done:

— Development of an integration module for BaseCon and VieDoc data fields coordination

— Development of a flexible editor of mapping and connection details

— Conducting part of testing validation 

It was a side project for BaseCon and they didn’t have an in-house team for such tasks, so WaveAccess’s hybrid team and nearshoring approaches became the best choice. 

Feedback:

"As a person at BaseCon who was closely working with WaveAccess during this project, I particularly value the quality of communication between us. It was easy and constant, we got feedback right when we needed it, the WaveAccess team learned our needs very fast, immediately transferred them into a technical task and implemented everything exactly as we wanted", — Morten Kjær, Chief Operating Officer, BaseCon

WaveAccess contributed to the development of the MyPlasticDiary web application MVP. This platform enables users to monitor and manage their plastic consumption, locate nearby recycling points, and ultimately reduce their plastic footprint.

Our team enhanced the application with the capability to recognize plastic packaging through images and label text. This functionality utilizes advanced computer vision algorithms and Natural Language Processing (NLP) to accurately identify the type and weight of the plastic.

In a pilot phase, we focused on milk packaging recognition and developed a user interface demo. The system was initially trained using images and product descriptions from the dairy section of Sainsbury's online store, a major British retailer. The model's capabilities include distinguishing between plastic and tetra pack materials, identifying the specific type of plastic, and measuring the weight of both the bottle and the cap separately.

To prepare the machine learning model, developers collected various milk packages, documented their weight and material composition, and included this data in the training set. The system has been trained to recognize a wide range of dairy products available at Sainsbury.

Additionally, the application provides users with information based on their zip code about local recycling options for different types of plastics and the availability of appropriate recycling bins.