Custom Software Engineering ServicesÂ
for Technology Companies
Custom Software Engineering Services
for Technology Companies
From high-growth startups to the Fortune 500, leading technology companies partner with Akvelon to build, scale, and evolve their software platforms. We provide custom software engineering services and deliver end-to-end engineering solutions, from architecture and cloud enablement to AI-powered development and product modernization, helping you grow with confidence.
Global technology providers trust us
What we can do for you
We work with tech-forward companies to deliver secure, scalable, AI-augmented platforms faster. Whether you're launching new products or modernizing legacy code, our engineering services are designed to integrate, extend, and scale with your business.
From idea to production — fast, scalable, and secure.
We build and maintain enterprise-grade software platforms with long-term stability in mind. Whether you're launching a new product or modernizing legacy code, our teams deliver high-quality solutions that scale with your business.
Accelerate development with AI and GenAI tools.
We use AI to speed up testing, documentation, and code analysis. Our custom tools — like AI API Testing and AI Co-Writer — save time and boost quality. We also embed LLMs and AI agents into your products to enhance user experience and operational intelligence.
Cloud-native systems for performance and cost efficiency.
Our teams design, build, and optimize cloud solutions on AWS, Azure, and GCP. From re-platforming legacy apps to building distributed systems, we help you scale reliably while reducing infrastructure costs
Ship faster with enterprise-grade DevOps.
We implement CI/CD pipelines, infrastructure-as-code, and automated delivery systems. With a focus on security and observability, we help you maintain high uptime and smooth releases.
Keep systems stable, efficient, and self-optimizing.
We use AI and ML to enhance observability, detect anomalies early, and automate routine decisions like alert triage and cost optimization. Our solutions improve uptime, reduce cloud spend, and free up your engineering teams.
Automate complex workflows with LLM-powered agents.
We build AI agents that handle multi-step tasks like customer support, candidate screening, and prospect outreach, and extend internal tools with agentic logic to reduce manual effort.
Ensure security and compliance from the ground up.
We develop software aligned with HIPAA, GDPR, and SOC2 standards, implementing secure SDLC practices and access controls for regulated industries like healthcare and finance.
From idea to production — fast, scalable, and secure.
We build and maintain enterprise-grade software platforms with long-term stability in mind. Whether you're launching a new product or modernizing legacy code, our teams deliver high-quality solutions that scale with your business.
Accelerate development with AI and GenAI tools.
We use AI to speed up testing, documentation, and code analysis. Our custom tools — like AI API Testing and AI Co-Writer — save time and boost quality. We also embed LLMs and AI agents into your products to enhance user experience and operational intelligence.
Cloud-native systems for performance and cost efficiency.
Our teams design, build, and optimize cloud solutions on AWS, Azure, and GCP. From re-platforming legacy apps to building distributed systems, we help you scale reliably while reducing infrastructure costs.
Ship faster with enterprise-grade DevOps.
We implement CI/CD pipelines, infrastructure-as-code, and automated delivery systems. With a focus on security and observability, we help you maintain high uptime and smooth releases.
Keep systems stable, efficient, and self-optimizing.
We use AI and ML to enhance observability, detect anomalies early, and automate routine decisions like alert triage and cost optimization. Our solutions improve uptime, reduce cloud spend, and free up your engineering teams.
Automate complex workflows with LLM-powered agents.
We build AI agents that handle multi-step tasks like customer support, candidate screening, and prospect outreach, and extend internal tools with agentic logic to reduce manual effort.
Ensure security and compliance from the ground up.
We develop software aligned with HIPAA, GDPR, and SOC2 standards, implementing secure SDLC practices and access controls for regulated industries like healthcare and finance.
Supercharge development with AI-driven engineering expertise
Supercharge development with AI-driven engineering expertise
Related Projects
Log Analyzing & Failure Classification System for Microsoft Dynamics 365
Goals & Challenges:​
- Automate log analysis and failure categorization
- Reduce manual effort and improve efficiency
Impact:​
- Developed ML algorithms to automate log data collection and analysis
- Enabled continuous learning from real engineer interactions
- Reduced time and resource costs for log analysis
- Improved research accuracy
Microsoft Power BI Desktop
Goals & Challenges:
- Develop a unified installer for Power BI Desktop across platforms and languages
- Streamline the installation process and enhance user experience
Impact:
- Updated the build system to create two comprehensive EXE files
- Implemented a user-friendly language selection in the installer UI
- Ensured seamless integration with existing systems
Microsoft Power BI Custom Visuals
Goals & Challenges:
- Extend Power BI's visualization capabilities with custom visuals
- Support third-party developers in custom visual development
- Address challenges related to data visualization and reporting
Impact:​
- Collaborated closely with Microsoft in the development of custom visuals
- Updated and enhanced over 25 custom visuals, meeting client-specific needs
Apache Beam Kafka to Pub/Sub Template
Goals & Challenges:
Build a dataflow template for a healthcare company to read from Kafka and write to Pub/Sub, a task for which no existing template was suitable.
Impact:​
- Designed and implemented a solution using Apache Beam and Google Dataflow
- Supported Kafka SASL/SCRAM authentication and secure storage of connection information
- Allowed for user-defined functions, ensuring scalability and low latency
- Enabled several high-performance data pipelines
High-Performance Query Framework
Goals & Challenges:
A global SaaS platform needed a fast, reliable way to run complex queries across all internal objects, for both internal teams and customer-facing workflows.
Impact:​
- Built a high-performance data access layer for advanced cross-object querying
- Enabled internal teams to streamline operations and reduce manual data handling
- Delivered an external interface for customers to easily integrate and access platform data
- Optimized performance for large-scale, real-time query loads
Scalable Microservices Architecture
Goals & Challenges:
A large-scale delivery platform needed to evolve its monolithic system into a more scalable, maintainable architecture that could better support integrations, high order volume, and growing technical complexity.
Impact:​
- Transitioned core services to a modular microservices architecture
- Improved scalability, fault isolation, and maintenance
- Enhanced support for high-frequency data operations and daily order management
- Modernized protocols and introduced intelligent caching mechanisms
Migration From a Legacy System 
& Real-Time Data Synchronization
Goals & Challenges:
The company's mission is to deliver a world-class enterprise-level reporting and analytics user experience that empowers modern businesses to streamline their operations, improve customer satisfaction, and accelerate growth.
Impact:​
- Migrated legacy modules to microservices for better performance and resource use
- Improved customizable UI for tailored reporting and dashboards
- Built real-time 360° data sync between platform and Salesforce using Debezium, Flink, and Kafka
- Automated complex tasks to boost service efficiency and reduce errors
Data Unification & Sensitive Data Security Solution
Goals & Challenges:
Build a secure, unified platform for multi-source data access, apply ML for efficient extraction and processing, and ensure confidentiality throughout.
Impact:​
-
Designed a streamlined data platform architecture
-
Integrated BI tools and cloud infrastructure to cut costs and improve reporting
-
Delivered secure, compliant solutions for legal and financial clients
-
Applied ML for automated SALI code mapping
-
Integrated third-party systems like SharePoint, iManage, and Microsoft 365
Configurable Dataflow Pipeline
Goals & Challenges:
An enterprise client required a flexible, reusable Dataflow template to support diverse data input and output formats — including tokenization and secure handling — across industries like finance and retail.
Impact:​
- Built a configurable data processing pipeline using Apache Beam and Google Dataflow
- Supported multi-format data ingestion and output for maximum versatility
- Integrated data tokenization for privacy and regulatory compliance
- Delivered a reusable framework enabling easy customization and extension across projects
Log Analyzing & Failure Classification System for Microsoft Dynamics 365
Goals & Challenges:​
- Automate log analysis and failure categorization
- Reduce manual effort and improve efficiency
Impact:​
- Developed ML algorithms to automate log data collection and analysis
- Enabled continuous learning from real engineer interactions
- Reduced time and resource costs for log analysis
- Improved research accuracy
Microsoft Power BI Desktop
Goals & Challenges:
- Develop a unified installer for Power BI Desktop across platforms and languages
- Streamline the installation process and enhance user experience
Impact:
- Updated the build system to create two comprehensive EXE files
- Implemented a user-friendly language selection in the installer UI
- Ensured seamless integration with existing systems
Microsoft Power BI Custom Visuals
Goals & Challenges:
- Extend Power BI's visualization capabilities with custom visuals
- Support third-party developers in custom visual development
- Address challenges related to data visualization and reporting
Impact:
- Collaborated closely with Microsoft in the development of custom visuals
- Updated and enhanced over 25 custom visuals, meeting client-specific needs
Apache Beam Kafka to Pub/Sub Template
Goals & Challenges:
Build a dataflow template for a healthcare company to read from Kafka and write to Pub/Sub, a task for which no existing template was suitable.
Impact:
- Designed and implemented a solution using Apache Beam and Google Dataflow
- Supported Kafka SASL/SCRAM authentication and secure storage of connection information
- Allowed for user-defined functions, ensuring scalability and low latency
- Enabled several high-performance data pipelines
High-Performance Query Framework
Goals & Challenges:
A global SaaS platform needed a fast, reliable way to run complex queries across all internal objects, for both internal teams and customer-facing workflows.
Impact:
- Built a high-performance data access layer for advanced cross-object querying
- Enabled internal teams to streamline operations and reduce manual data handling
- Delivered an external interface for customers to easily integrate and access platform data
- Optimized performance for large-scale, real-time query loads
Scalable Microservices Architecture
Goals & Challenges:
A large-scale delivery platform needed to evolve its monolithic system into a more scalable, maintainable architecture that could better support integrations, high order volume, and growing technical complexity.
Impact:
- Transitioned core services to a modular microservices architecture
- Improved scalability, fault isolation, and maintenance
- Enhanced support for high-frequency data operations and daily order management
- Modernized protocols and introduced intelligent caching mechanisms
Migration From a Legacy System 
& Real-Time Data Synchronization
Goals & Challenges:
The company's mission is to deliver a world-class enterprise-level reporting and analytics user experience that empowers modern businesses to streamline their operations, improve customer satisfaction, and accelerate growth.
Impact:
- Migrated legacy modules to microservices for better performance and resource use
- Improved customizable UI for tailored reporting and dashboards
- Built real-time 360° data sync between platform and Salesforce using Debezium, Flink, and Kafka
- Automated complex tasks to boost service efficiency and reduce errors
Data Unification & Sensitive Data Security Solution Implementation
Goals & Challenges:
- Build a unified platform for easy, multi-source data access and analysis
- Use ML to optimize targeted data extraction and processing
- Strengthen data security and confidentiality
Impact:
- Designed a new data platform architecture to streamline pipelines
- Integrated BI tools to improve reporting and reduce costs
- Delivered secure solutions for legal and financial firms
- Migrated apps to the cloud with CI/CD and test automation
- Deployed ML for automatic SALI code mapping
- Integrated third-party systems like SharePoint, iManage, Elite, Microsoft 365, and Exchange
Configurable Dataflow Pipeline
Goals & Challenges:
An enterprise client required a flexible, reusable Dataflow template to support diverse data input and output formats — including tokenization and secure handling — across industries like finance and retail.
Impact:
- Built a configurable data processing pipeline using Apache Beam and Google Dataflow
- Supported multi-format data ingestion and output for maximum versatility
- Integrated data tokenization for privacy and regulatory compliance
- Delivered a reusable framework enabling easy customization and extension across projects
Hear from our clients
David, the Engineering Manager of Reddit’s Ads Measurement Core Team, expresses his appreciation for the partnership with Akvelon, noting the exceptional support and high-quality engineers provided by Akvelon.
Michael Lu, Principal Software Engineering Manager at Microsoft Azure, reflects on a multi-year partnership with Akvelon. What started with UI development grew into a full offshore team delivering data pipelines, ML, and AI innovation. He highlights Akvelon’s technical strength, proactive solution design, and clear, responsive communication.
Akvelon stays responsive to feedback, adapts as needs evolve, and consistently delivers.
It’s a partnership that frees stakeholders to focus on business, not micromanagement.
That’s why Microsoft continues to trust Akvelon with complex engineering work.
AI-turbocharged software engineering
& quality assurance
We enhance software development with AI-driven tools like GitHub Copilot, boosting efficiency, improving code quality, and accelerating project delivery. By integrating AI seamlessly, we streamline workflows and provide clients with a tangible competitive advantage.
AI for Tech Support
This AI tool assists teams in providing quick solutions based on pre-provided answers and answer prediction.
Goals & Challenges:​
- Saved 40 hours per month for a team of 5-6 members
- Reduced costs of product support
- Enhanced user experience
AI-powered API Testing Tool
This tool helps speed up API testing by generating test scripts and test cases and testing API endpoints, saving time for SDET engineers.
Goals & Challenges:
- Saved up to 80% of the test engineer’s capacity
- API tests were generated 6x faster
- Full test coverage with a broader API testing approach
Akvelon AI Co-Writer
This tool streamlines documentation creation, ensures documentation consistency, and offers intelligent document search.
Goals & Challenges:
- Refined outdated software documentation and user manuals
- Added suggestions for cross-references within documentation & implemented intelligent search
- Ensured Microsoft style guide compliance
GitHub Copilot & GitHub Copilot Chat
The GitHub Copilot tool increases the team’s overall productivity for routine task completion. Our developers also use GitHub Copilot Chat for a more interactive experience while writing code.


81% of developers reported they have felt an increase in productivity.
Goals & Challenges:
- Increased coding speed
- Heightened productivity
- Enhanced code quality
- Improved documentation quality
DRI Copilot – AI-Infused Slack Chatbot
DRI Copilot reduces incident resolution time, equipping support teams working on complex products with dynamic, context-aware insights based on historical data and runbooks.
Goals & Challenges:
- Faster resolution of diverse incidents
- Reduced manual workload for support agents
- Standardized incident management
- Improved agent efficiency on complex support cases
- Higher overall customer satisfaction
AI for Tech Support
This AI tool assists teams in providing quick solutions based on pre-provided answers and answer prediction.
Goals & Challenges:​
- Saved 40 hours per month for a team of 5-6 members
- Reduced costs of product support
- Enhanced user experience
AI-powered API Testing Tool
This tool helps speed up API testing by generating test scripts and test cases and testing API endpoints, saving time for SDET engineers.
Goals & Challenges:
- Saved up to 80% of the test engineer’s capacity
- API tests were generated 6x faster
- Full test coverage with a broader API testing approach
Akvelon AI Co-Writer
This tool streamlines documentation creation, ensures documentation consistency, and offers intelligent document search.
Goals & Challenges:
- Refined outdated software documentation and user manuals
- Added suggestions for cross-references within documentation & implemented intelligent search
- Ensured Microsoft style guide compliance
GitHub Copilot & GitHub Copilot Chat
The GitHub Copilot tool increases the team’s overall productivity for routine task completion. Our developers also use GitHub Copilot Chat for a more interactive experience while writing code.


81% of developers reported they have felt an increase in productivity.
Goals & Challenges:
- Increased coding speed
- Heightened productivity
- Enhanced code quality
- Improved documentation quality
DRI Copilot – AI-Infused Slack Chatbot
DRI Copilot reduces incident resolution time, equipping support teams working on complex products with dynamic, context-aware insights based on historical data and runbooks.
Goals & Challenges:
- Faster resolution of diverse incidents
- Reduced manual workload for support agents
- Standardized incident management
- Improved agent efficiency on complex support cases
- Higher overall customer satisfaction
Turn your software vision into scalable, high-impact solutions
Turn your software vision into scalable, high-impact solutions
Akvelon’s AI Agents to supercharge your growth
Akvelon develops private, domain-specific AI agents that automate multi-step workflows, integrate with internal tools, and drive measurable outcomes across industries.
Akvelon Insight Bridge Sales Agent
A smart AI-driven sales agent that analyzes companies, key employees, and business needs. Using publicly available data, it identifies pain points, suggests relevant company case studies, and generates personalized AI-powered outreach copy to help sales teams accelerate deal closures.
Candidate Matching & Automated Assessment Agent
An AI-powered agent that automates talent assessment and hiring processes by instantly scoring candidate interviews, generating clear feedback, and visually ranking candidates. It intelligently matches job requirements with candidate experience, speeding up hiring decisions and reducing bias.
We Deliver Excellence Worldwide: 24 Hour Coverage
Americas*
US, Mexico
EMEA*
Serbia, Ireland, Czech Republic, Poland, Ukraine, Armenia, Georgia, Egypt
APAC*
Kazakhstan, India, Pakistan, Malaysia, Vietnam
Bellevue
Guadalajara
Lisbon
Zagreb
Krakow
Gdynia
Kyiv
Lviv
Kharkiv
Ivano-Frankivsk

Belgrade
Tbilisi
Yerevan

Almaty

Astana
New York
Cairo
24+
Years of expertise
700+
Technology experts
150+
Clients
6+
Years is the average duration
of a relationship with a client
Have a question?
Have a question?
We help product companies build software faster and more reliably. Whether you're launching a new solution, scaling an existing platform, or looking to modernize legacy systems, we provide specialized engineering teams that deliver enterprise-grade results.
Why companies choose us:
- Scalable, secure architecture: Designed for performance, compliance, and long-term adaptability
- AI-augmented development: We use AI/GenAI tools to accelerate delivery, automate testing, and enhance product intelligence
- Cloud-native: Optimized for AWS, Azure, and GCP with strong DevOps and infrastructure automation practices
- Deep integration: Our teams embed into your product lifecycle and internal processes to act as a true extension of your company
We begin with a collaborative discovery phase to align on product goals, timelines, and tech stack requirements. Then we propose a clear development roadmap.


You’ll receive:
- A tailored execution plan
- Clear delivery milestones
- The right tech expertise at the right time
- Reach out to us to explore how we can support your next product initiative.
Absolutely. Akvelon’s teams are built to integrate seamlessly with your in-house engineers, tools, and workflows. We align with your release cycles, CI/CD pipelines, and DevOps toolchains to avoid disruption and move fast.
We also bring experience across major languages, frameworks, and cloud platforms, so we can ramp up quickly in most environments.