years in business

20+

cities worldwide

96+

award-winning

years in business

3K+

team members

96+

award-winning

Delivering premium software solutions to elevate

World-class talent, worldwide.

We’re Webaroo, partner of forward-thinking tech leaders around the globe. For more than 20 years, we’ve equipped the world’s fastest-growing companies with best-in-class engineering talent.

Trusted by industry leaders.

Explore success stories

Delivering premium software solutions to elevate your business success.

Charlton Roberts

Providing innovative digital services tailored to your unique needs.

Evelyn Davis

Empowering organizations with cutting-edge technology solutions.

Nathan Patel

Creating seamless user experiences to drive customer engagement.

Ava Thompson

Global expertise.

Our expansive footprint — spanning time zones and country codes — allows us to source the top developers from the world’s foremost tech destinations.

Step inside our offices

USA

12221 Towne Lake Drive, Suite A, Unit #147, Fort Myers, Florida, 33913

Our Leadership and People

Our partners put our clients first, with a relentless focus on championing bold ideas that help them achieve the extraordinary. In every office, on every team, you’ll find passionate, collaborative people who care for you and your success.

Our Insights

Connor Murphy

Chief Executive Officer

Philip Trunov

Chief Technology Officer

Patty Natili

Global Relations

Bryce Faubel

Director of Strategic Partnerships

Serhii Fedchenko

DevOps | FinOps | SRE

Webaroo Journey

Who are we?

2020

Founding & Early Vision

Connor Murphy launches Webaroo from a shared workspace in Fort Myers. Within three months, the company secures its first fintech client, marking the beginning of its rapid growth.

Starting with a small development team, Webaroo quickly gains traction by delivering bespoke software solutions for fintech and eCommerce startups.

2022

Scaling & Leadership Expansion

Philip Trunov joins Webaroo as CTO, bringing visionary leadership and deep technical expertise. He assembles a world-class engineering team, enhancing Webaroo’s development capabilities.

Under his guidance, Webaroo adopts Kubernetes and microservices, streamlining infrastructure and accelerating deployments to set new standards in software architecture.

2023

Innovation & Industry Recognition

Webaroo earns recognition as a tech innovator, winning the Tech Innovators Award 2023 for its AI chatbot framework, developed under Philip Trunov’s leadership.

With this success, Webaroo expands its client base to Fortune 500 enterprises, further solidifying its reputation in AI and blockchain solutions.

2024

Strategic Partnerships & Growth

Philip Trunov and Connor Murphy refine Webaroo’s application architecture, blending product vision with advanced technical strategies to scale innovation.

With a world-class development team, they push boundaries in AI, cloud computing, and system scalability, ensuring Webaroo delivers future-proof solutions.

Keep tabs on Webaroo!

Here, you’ll find news about feature releases, happenings in the industry, and Webaroo announcements in general.

Hanna Saris

Building AR/VR Experiences: Unity vs. Unreal

Choosing the Right Game Engine for AR/VR Development In this post, we explore two major game engines—Unity and Unreal—to help you decide which platform is best for building captivating augmented and virtual reality experiences. AR/VR Development and Its Growing Impact AR/VR development is rapidly evolving, influencing industries from gaming and retail to training simulations. If you’re looking to build immersive experiences, selecting the right game engine is a crucial first step. This article compares the features, community support, and performance of Unity and Unreal, guiding you toward the ideal solution for your project. Unity for AR/VR Development Unity has become a go-to for developers thanks to its intuitive interface and vast community. It supports a range of AR/VR headsets, making it easy to prototype and deploy quickly. Broad Hardware Support: Compatible with multiple AR/VR devices, making development accessible.Asset Store: A vast library of prebuilt tools, assets, and plugins to accelerate development.Flexible Development Environment: Uses C#—often considered easier for beginners and widely supported.Unreal Engine for High-Fidelity Experiences Unreal Engine stands out with stunning graphics capabilities and a robust C++ framework. While the learning curve can be steeper, its visual quality and performance make it a top choice for AAA-level VR experiences and enterprise simulations that demand ultra-realistic rendering. Advanced Rendering Engine: Delivers cutting-edge visual fidelity with real-time ray tracing.Blueprint System: Offers a powerful visual scripting tool for non-programmers.Enterprise-Level Features: Used in industries beyond gaming, such as architecture and film production.Key Factors to ConsiderLearning Curve: Unity uses C#, which is beginner-friendly. Unreal relies on C++ but includes Blueprint for simplified scripting.Costs & Licensing: Both engines provide free tiers, but Unreal’s revenue-sharing model differs from Unity’s.Community & Support: Unity boasts a larger community with abundant tutorials. Unreal’s community is strong, particularly for high-end development.Finding the Best Fit for Your AR/VR Project The best game engine depends on your project’s goals. If you prioritize a vast asset ecosystem and speed to market, Unity is a strong choice. If you need superior graphics and advanced simulation capabilities, Unreal may be the better option. Ready to bring your AR/VR concept to life? Contact us to explore how our development team can help you at every stage, from design to deployment.

Thomas Morgenroth

Edge Computing for Real-Time Analytics: Why Latency Matters

How Edge Computing is Revolutionizing Real-Time Data Processing Edge computing is transforming how businesses handle data. In this post, we examine why processing data closer to the source can dramatically reduce latency, improve security, and create new opportunities for real-time insights. The Need for Faster and Smarter Data Processing With the rise of IoT sensors and rapidly evolving applications, traditional cloud architectures often struggle with latency and bandwidth limitations. Edge computing—processing data at or near its source—addresses these challenges. From manufacturing lines in Florida to smart traffic systems in major US cities, edge solutions enable immediate analytics and faster decision-making. Let’s explore why edge computing is shaping the future of data processing. The Basics of Edge Computing Edge computing shifts data processing and storage away from centralized clouds and closer to the devices or sensors generating the data. This distributed approach significantly reduces latency since data no longer needs to travel to a remote data center for analysis. Reduced Bandwidth Usage: Fewer round trips to the cloud mean lower data transfer costs.Faster Response Times: Critical applications—like autonomous vehicles or robotic surgery—benefit from near-instant feedback.Enhanced Security: Keeping sensitive information on local networks rather than transmitting it externally reduces cybersecurity risks.Real-Time Analytics at the Edge For industries where every second matters, edge computing delivers on-site analytics with minimal delay. Manufacturing: Predictive maintenance detects equipment failures within milliseconds, preventing costly downtime.Healthcare: Remote patient monitoring devices instantly flag abnormal vitals, ensuring timely intervention.Retail: AI-driven analytics personalize in-store experiences, adjusting recommendations and pricing in real time. By processing data closer to its source, businesses gain actionable insights faster while improving operational efficiency. Key Challenges and ConsiderationsInfrastructure Complexity: Managing multiple edge nodes requires careful planning and ongoing monitoring.Scalability: As edge deployments expand, a flexible and scalable architecture is crucial for long-term success.Security Protocols: While edge computing reduces external data transfers, strong cybersecurity measures are still essential at each node.The Future of Edge Computing Edge computing is revolutionizing industries by enabling real-time analytics, better data governance, and lower latency. As businesses continue to demand faster insights and improved security, edge solutions will play a critical role in the next generation of data-driven decision-making. Looking to implement an edge computing strategy for your organization? Contact us to explore how we can design and deploy an edge architecture tailored to your operational needs.

Phillip Westervelt

How Do Chatbots Work? Often with a Little Help from AI

The AI Behind Chatbots and Their Impact on Business Chatbots are everywhere, from customer service to personal assistants. This post explores how AI enables chatbots to understand human interactions, provide instant responses, and revolutionize business communication. How Chatbots Understand and Respond We’ve all encountered chatbots—those handy little pop-ups on websites that offer help. But how do they process human language and generate meaningful responses so quickly? AI-driven chatbots leverage natural language processing (NLP) and intent detection to interpret user queries and deliver relevant answers in real time. The Fundamentals of Chatbots Chatbots generally fall into two categories: Rule-Based Chatbots: These operate on predefined scripts, following a set of rules to respond to specific keywords or phrases.AI-Powered Chatbots: These use machine learning and NLP to analyze user intent, learn from past interactions, and continuously improve response accuracy. Core technologies that enable chatbots include: Natural Language Processing (NLP): Converts user input into structured data for understanding context.Knowledge Bases: Provide stored information that chatbots use to craft relevant responses.Where Machine Learning Steps In Machine learning takes chatbot capabilities to the next level by enabling: Intent Detection: Algorithms trained on large datasets recognize user intent beyond just keywords, allowing for more natural conversations.Adaptive Learning: Over time, AI-powered chatbots refine their responses based on user interactions, improving accuracy.Advanced Problem-Solving: From handling simple FAQs to troubleshooting technical issues, chatbots can process complex requests efficiently.Business Benefits of AI-Powered Chatbots24/7 Customer Support: Chatbots provide instant assistance at any time, improving customer experience.Cost Savings: Automating common inquiries reduces the need for human agents, cutting operational costs.Scalability: As business demands grow, chatbots can handle increasing queries without additional staffing requirements.The Future of AI Chatbots in Business AI-powered chatbots are transforming customer engagement by providing real-time, personalized support. Whether for e-commerce, banking, or healthcare, businesses are leveraging AI chatbots to enhance user experience and streamline operations. Looking to integrate an intelligent chatbot into your business? Contact our team to develop a custom AI-powered solution tailored to your needs.

Hanna Saris

Navigating Data Privacy: Ensuring Compliance in the US & Florida

Keeping Up with Evolving Data Privacy Laws With new privacy regulations emerging at both federal and state levels, ensuring compliance is more critical than ever. This post dives into key regulations and best practices for safeguarding customer data while avoiding legal and financial risks. Understanding the Regulatory Landscape Data breaches are making headlines more frequently, prompting lawmakers to implement stricter data protection regulations. From national standards like HIPAA and PCI-DSS to Florida’s own Florida Information Protection Act (FIPA), navigating compliance requirements can be complex. Here’s a breakdown of the key laws and how they impact businesses. Overview of US Data Privacy Laws Several major data privacy regulations shape compliance requirements across industries: HIPAA (Health Insurance Portability and Accountability Act): Protects healthcare-related data, enforcing strict security and privacy measures for patient information.PCI-DSS (Payment Card Industry Data Security Standard): Regulates how businesses handle credit card transactions to prevent fraud and data theft.CCPA/CPRA (California Consumer Privacy Act/Privacy Rights Act): While not specific to Florida, these laws set a strong precedent for data protection nationwide.Florida Information Protection Act (FIPA) FIPA requires businesses operating in Florida to implement strict data security measures and promptly notify individuals in the event of a breach. Non-compliance can lead to severe penalties and reputational damage, making it essential for businesses to establish clear data protection policies. Best Practices for Data Compliance Staying compliant involves more than just meeting legal requirements—it requires proactive security and operational measures: Data Encryption: Encrypt sensitive data at rest and in transit to reduce the risk of exposure.Access Control: Restrict data access to authorized personnel only, preventing unauthorized modifications or leaks.Incident Response Plan: Develop a detailed playbook to quickly detect, respond to, and mitigate data breaches.Regular Audits & Employee Training: Ensure continuous compliance by reviewing policies and educating employees on best practices.Strengthening Your Data Privacy Strategy Compliance is an ongoing effort that demands vigilance, training, and secure development practices. By implementing strong data governance strategies, businesses can minimize risks and maintain trust with customers. Need help assessing your company’s compliance status or implementing robust data privacy measures? Contact our team for expert guidance on safeguarding your business.

Phillip Westervelt

The Future of Fintech: Innovations in Payment Processing

The Evolution of Payment Technology The fintech landscape is rapidly evolving with innovations that streamline transactions, enhance security, and improve user experiences. From contactless mobile wallets to blockchain-enabled transactions and AI-driven fraud detection, these advancements are reshaping the way businesses and consumers handle payments. How Fintech is Redefining Payments With consumer expectations shifting towards seamless, secure, and instant transactions, businesses must adapt to remain competitive. Emerging payment technologies are leading the way in improving efficiency, reducing fraud, and expanding accessibility. Here’s a look at key trends transforming payment processing. Contactless & Mobile Payments Contactless transactions have surged, becoming the standard for modern payments. The convenience of tap-to-pay has driven widespread adoption across industries, including: Retail & eCommerce: Businesses now integrate digital wallets like Apple Pay, Google Pay, and Samsung Pay for seamless customer experiences.Public Transportation: Cities worldwide are deploying contactless fare payments for faster, hassle-free commuting.Vending & Self-Service Machines: Automated kiosks and vending machines now support contactless and mobile transactions, reducing the need for cash.Blockchain & Crypto Transactions Blockchain technology is revolutionizing digital payments by providing decentralized, peer-to-peer solutions that minimize reliance on intermediaries. Key benefits include: Cross-Border Transactions: Reduced fees and faster settlements for international payments.Increased Transparency: Secure, immutable ledgers enhance trust in financial transactions.Regulatory Challenges: While adoption is growing, compliance with global regulations remains a hurdle for widespread blockchain payment integration.AI-Powered Fraud Detection AI and machine learning are enhancing payment security by detecting fraudulent activities in real time. These systems: Analyze Large Transaction Datasets: Identifying patterns that indicate suspicious behavior.Flag Potential Fraud in Real Time: Reducing chargebacks and financial losses.Continuously Improve Accuracy: AI models adapt to new fraud tactics, ensuring proactive defense mechanisms.Preparing for the Future of Fintech As payment technology evolves, businesses that embrace innovation will gain a competitive edge. Whether adopting contactless payments, integrating blockchain transactions, or leveraging AI for fraud prevention, staying ahead of fintech trends is crucial. Looking to upgrade your payment platform or enhance security with AI-driven fraud detection? Contact our fintech specialists to explore custom solutions tailored to your business needs.

Phillip Westervelt

Streamlining Your Build Process with AWS CodeBuild

Optimizing Software Builds with AWS CodeBuild The build process is a critical step in software development, ensuring code quality and preparing applications for deployment. AWS CodeBuild simplifies and automates this process, reducing manual intervention and enhancing efficiency. What Happens During a Build? A successful build involves multiple steps to transform raw source code into a deployable package: Retrieving Dependencies: The build pulls external libraries and modules from package managers like Node Package Manager or Maven.Compiling the Code: The source code is transformed into an executable format.Packaging the Artifact: The output is structured as a deployable unit, such as a Docker image, Linux RPM package, or Windows MSI installer.Running Automated Tests: Unit tests verify that the code performs as expected before deployment. If any of these steps fail—due to missing dependencies, compilation errors, or test failures—it results in a broken build, impacting development timelines. Continuous Integration (CI) and Frequent Builds Continuous integration (CI) ensures that every code change is tested and merged into the project seamlessly. Running frequent builds helps detect issues early, reduce integration conflicts, and provide developers with confidence in code stability. A broken build is treated as a top priority, as it affects the entire development team. With a structured build process in place, developers can focus on new features rather than debugging code conflicts. Automating the Build with AWS CodeBuild AWS CodeBuild is a fully managed service that automates compilation, testing, and artifact creation. Instead of managing on-premises build servers, teams can leverage CodeBuild’s scalable infrastructure. Key Benefits of AWS CodeBuildScalability: Automatically handles multiple builds in parallel, reducing wait times.Cost Efficiency: Pay only for the build time used, eliminating costs associated with idle build servers.Seamless AWS Integration: Works with AWS services like CloudWatch for monitoring and S3 for storing artifacts.Configuring a Build in AWS CodeBuild To use AWS CodeBuild, two key components need to be configured: Build Project: Defines the source code location, build environment (such as Docker images), and storage settings.Buildspec File: The buildspec.yml file specifies build steps, environment variables, and artifact packaging. Logs and build outputs are stored in AWS CloudWatch, providing a detailed view of build performance and potential issues. Once the build is complete, the artifact is stored in S3, ready for deployment. Why Choose AWS CodeBuild? AWS CodeBuild removes the complexity of managing build infrastructure, allowing development teams to focus on software quality and delivery. By automating the build process, businesses can accelerate deployment cycles and improve CI/CD workflows. Could your organization benefit from scalable and automated builds? Contact ZirconTech today to implement AWS CodeBuild and optimize your development pipeline.

Thomas Morgenroth

The Inevitability of Stock Market Data Analytics

How Data Analytics is Reshaping Stock Market Strategies From high-frequency trading to personalized investment advice, data analytics has become an essential tool in modern finance. With financial markets generating vast amounts of data every second, advanced analytics and machine learning models are now crucial for making informed investment decisions. The Role of Big Data in Financial Markets Traditional spreadsheet-based analysis can no longer keep up with the increasing volume and speed of financial data. To stay competitive, financial institutions and traders are leveraging: Real-Time Data Streaming: Enables instant analysis of stock price movements and market trends.Predictive Analytics: Uses machine learning models to forecast price fluctuations.Automated Trading Systems: Executes trades at lightning speed based on real-time insights. By integrating these technologies, investors can respond to market changes faster and make more data-driven decisions. Key Technologies for Stock Market Analytics The financial industry relies on a combination of advanced tools to process and analyze stock market data effectively: Machine Learning & AI: Algorithms identify patterns in historical data to predict future trends and optimize trading strategies.Cloud Computing: Provides scalable infrastructure for handling large datasets without latency.Advanced Visualization Tools: Platforms like Tableau or custom dashboards transform raw numbers into actionable insights for traders and analysts.Benefits and Challenges of Data-Driven TradingKey BenefitsMore Accurate Forecasting: AI-powered models analyze historical trends to improve market predictions.Reduced Risk Exposure: Real-time risk assessment tools help investors minimize losses.Faster Decision-Making: Instant access to insights allows traders to react quickly to market shifts.Challenges to OvercomeData Quality Issues: Poor or incomplete data can lead to misleading conclusions.Market Volatility: Unpredictable market fluctuations can challenge even the most sophisticated models.Regulatory Compliance: Financial institutions must adhere to SEC and other regulatory guidelines when leveraging analytics.Why Stock Market Data Analytics is Here to Stay Data analytics isn’t just a passing trend—it’s now the foundation of modern stock market operations. Investors who embrace these tools gain a competitive advantage by making smarter, faster, and more informed decisions. Interested in integrating advanced analytics into your financial strategies? Contact our team to develop a custom data solution that keeps you ahead of the market.

Thomas Morgenroth

The Role of Blockchain in Secure Supply Chain Management

How Blockchain is Enhancing Supply Chain Security Supply chains are vulnerable to fraud, counterfeiting, and inefficiencies. Blockchain technology is transforming logistics and inventory management by creating a tamper-proof, decentralized ledger that enhances transparency, security, and efficiency across every step of the supply chain. Addressing Supply Chain Vulnerabilities From counterfeit goods to mismatched inventory, supply chain inefficiencies can lead to financial losses and reputational damage. Blockchain provides a single source of truth, allowing all stakeholders—manufacturers, shippers, and retailers—to access and verify an immutable record of transactions. This ensures data integrity while reducing reliance on intermediaries. How Blockchain Adds Value Blockchain enhances supply chain operations by securely storing transactions in cryptographically linked blocks that cannot be altered. Key benefits include: Increased Transparency: All participants in the supply chain have access to a shared, real-time ledger.Enhanced Security: Transactions are encrypted and verified across decentralized nodes, reducing fraud.Reduced Operational Costs: Eliminating third-party intermediaries streamlines processes and reduces fees.Practical Applications of Blockchain in Supply Chain ManagementAnti-Counterfeit Measures By embedding blockchain-based traceability solutions, companies can authenticate products at each checkpoint, ensuring legitimacy and reducing fraud. Real-Time Tracking Blockchain enables precise shipment tracking, offering real-time updates on product location, temperature conditions (for perishables), and estimated arrival times. Smart Contracts for Automated Transactions Smart contracts automatically execute payments when predefined conditions—such as delivery confirmation—are met, reducing payment disputes and increasing efficiency. Challenges to Blockchain Adoption in Supply Chains Despite its benefits, implementing blockchain in supply chain management comes with hurdles: Scalability Issues: High transaction volumes can slow down certain blockchain networks.Lack of Standardization: Different industries and companies use varying blockchain frameworks, making interoperability a challenge.Regulatory Oversight: Sectors like pharmaceuticals and food require compliance with strict regulations, complicating blockchain implementation.The Future of Blockchain in Supply Chain Security Blockchain is revolutionizing supply chain security by providing trust, efficiency, and traceability. However, businesses must carefully evaluate infrastructure needs, regulatory requirements, and scalability considerations before full implementation. Thinking about integrating blockchain into your supply chain operations? Contact our team for an in-depth assessment and a tailored pilot program to explore the potential benefits for your organization.

Phillip Westervelt

In-House Software Development vs. Outsourcing: How to Choose the Right Approach

Evaluating Your Software Development Strategy Debating between building your software project in-house or hiring an external team? We analyze the pros and cons of each approach, offering insider tips on making the best decision for your business. Weighing Your Options for Software Development Choosing how to build your software product can be daunting. An in-house team offers tighter collaboration but may increase overhead. Outsourcing provides specialized expertise but can introduce communication challenges. Understanding the trade-offs of both options can help you determine the best model for your organization. Advantages of In-House Development Building a development team within your company can offer: Direct Control: Full visibility into development cycles and immediate adjustments.Cultural Fit: Team members already understand your brand values and business goals.Potential for IP Growth: Internal teams foster long-term product knowledge and expertise.Benefits of Outsourcing Outsourcing software development can provide key advantages such as: Cost Effectiveness: Lower upfront costs on infrastructure and salaries.Scalability: Easily ramp up or down as project needs evolve.Access to Diverse Skill Sets: Outsourcing firms bring specialized expertise, from AI to cybersecurity.Key Factors to ConsiderProject Complexity: Highly specialized or niche features might benefit from external specialists with deep domain knowledge.Budget & Timeline: If speed is a priority and your company lacks an existing development team, outsourcing can accelerate progress.Long-Term Goals: If your project is core to your brand, in-house development may offer better long-term control and stability.Finding the Right Approach for Your Business Both in-house development and outsourcing have their merits. The real question is which best aligns with your budget, timeline, and product vision. Need help deciding? We can assess your requirements and recommend the optimal development strategy for your business. Contact us today to explore your best path forward.

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