About Edge Solutions Lab (ESL)

Edge Solutions Lab (ESL) is an end-to-end technology partner focused on bridging the gap between cloud and edge computing. We manage the entire lifecycle of edge innovation — from feasibility analysis and system architecture to custom hardware design, software engineering, AI deployment, and DevOps automation.

Our team has delivered mission-critical edge infrastructures across multiple sectors, including Healthcare & Remote Monitoring, Defense & Public Safety, Transportation & Logistics, Energy & Utilities (Mining, Oil, Gas), Agriculture, Retail, Telecom, and quick-service operations.

Among our partners are leading U.S. edge platform providers, defense technology innovators, energy enterprises, and advanced healthcare companies — all relying on ESL to transform their cloud-native systems into powerful, secure, and scalable edge environments.

What is the Convergence of Edge Computing?

Our Story

Edge Solutions Lab was founded in 2023 by the engineering team behind Hivecell — one of the pioneering distributed edge computing platforms in the United States. Building on years of experience in designing, deploying, and managing large-scale distributed systems, ESL emerged as a dedicated partner for companies looking to bridge the gap between cloud and edge.

Since its inception, ESL has delivered mission-critical edge systems for industries where reliability and real-time performance are non-negotiable — including Defense & Public Safety, Healthcare & Remote Monitoring, Energy & Utilities, Transportation, Retail, Telecom, and Industrial IoT.

Our engineers and architects have worked on breakthrough technologies for clients such as Point72, Stoneridge, Boehringer Ingelheim, and a range of U.S.-based defense startups. From wearable health monitoring devices sampling at 200Hz to air-gapped edge clusters capable of running large language models (LLMs) in extreme environments — ESL’s portfolio reflects innovation at the frontier of computing.

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energy edge computing - oil rig

Leadership Team

Volodymyr Kondratenko

Volodymyr Kondratenko

CEO

Volodymyr Kondratenko

CEO
An experienced software manager with over 16 years in the industry, specializing in building efficient teams and setting up new processes. Key achievements include cofounding a successful product in the edge computing sector and establishing a new office in Ukraine.
Iryna Shevts

Iryna Shevts

CFO, COO

Iryna Shevts

CFO, COO
A seasoned finance and operations leader with over 10 years of experience in corporate finance and budgeting, focused on developing strategies that enhance growth and efficiency. Expert in process optimization and resource management and ensuring financial transparency.
Kostiantyn Kravtsov

Kostiantyn Kravtsov

Hardware Direction Lead, PhD

Kostiantyn Kravtsov

Hardware Direction Lead, PhD
With 25+ years in engineering, expertise spans design, manufacturing, and maintenance of electronic systems for various domains, including edge servers, medical devices, and automation systems. Dedicated to producing innovative, reliable hardware tailored to diverse industry needs.
Ivan Shulak

Ivan Shulak

Technical Project Manager, Solutions Architect

Ivan Shulak

Technical Project Manager, Solutions Architect
A results-driven Software Manager with 19+ years of experience, expertly building high-performing teams and implementing scalable development processes. This leader delivers robust, cost-effective systems by bridging strategic leadership with strong technical expertise (Java, AWS, and solutions architecture). Key achievements include co-founding a successful Edge Computing product, establishing a new office in Ukraine, and driving the company to AWS Advanced Partner status.
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Andrii Sirak

BigData Architect

Andrii Sirak

BigData Architect
A data engineer and solutions architect with more than 12 years of experience as a software engineer wit h main focus is in distributed systems and edge computing. Enjoyed working closely wit h businesses and star tups to drive their growth using modern data engineering technologies.
Eldar Nagorniy

Eldar Nagorniy

CMO, CSPO

Eldar Nagorniy

CMO, CSPO
CMO with over a decade of experience in digital marketing and product management. Certified in CSPO and OKR/KPI frameworks, with a strong background in technology, innovation, and business development, he drives the company’s vision at the intersection of marketing, product, and customer experience.
Oleksandra Pysmenna

Oleksandra Pysmenna

HR Lead

Oleksandra Pysmenna

HR Lead
A results-oriented HR leader focused on building strong teams and supporting people at every stage of their journey. Skilled in talent development, onboarding, and establishing clear and practical HR processes. Believes that effective communication, trust, and a healthy work environment help people perform at their best and drive business success.
Oleh Hordon

Oleh Hordon

Lead Platform Engineer

Oleh Hordon

Lead Platform Engineer
Lead Platform Engineer with 7+ years’ experience driving platform reliability and developer velocity. Core strengths include CI/CD at scale, containerized microservices, Infrastructure as Code, declarative, version-controlled delivery, and production-grade observability across metrics, logs, and traces. Emphasis on governance, security, cost efficiency, and measurable reliability.
Oleksii Kondratenko

Oleksii Kondratenko

Firmware Software Developer

Oleksii Kondratenko

Firmware Software Developer
A firmware software developer with experience in this field since 1985. While there have been successes, defeats, and attempts to play manager roles, the primary focus and preferred duty remain coding, debugging, and problems' root causes hunting.
Illia Kotlov

Illia Kotlov

DevOps Lead

Illia Kotlov

DevOps Lead
Seven years in DevOps, with strengths in rapid automation and strong security practices. Known for optimizing code-bases with robust security measures and creating efficient, scalable solutions for evolving technological demands.
Oleksandr Tyshchenko

Oleksandr Tyshchenko

Integration Engineer

Oleksandr Tyshchenko

Integration Engineer
With a deep-rooted expertise in hardware, OS, and networking across 20 years, consistently ensures that all system components function cohesively. Skilled at overseeing complex integrations to align with product goals and deliver high-performing solutions.
 Let’s Innovate Together!

Ready to shape the future of Edge technology with us? Let’s build what’s next — together.

What is Cloud-to-Edge convergence?

Bringing the Cloud Experience to the Edge (Cloud-to-Edge Convergence) — means delivering the power, flexibility, and scalability of cloud technologies directly to local environments where data is generated. Instead of sending everything to distant data centers, edge systems process information on-site — enabling real-time decisions, lower latency, reduced bandwidth use, and improved data privacy. This is critical for industries like healthcare, defense, energy, logistics, and telecom, where speed, autonomy, and resilience are non-negotiable.

Edge Solutions Lab (ESL) builds full-cycle Cloud-to-Edge Convergence Solutions — combining software, hardware, and infrastructure — that replicate and optimize cloud capabilities at the edge. From AI model optimization and device integration to infrastructure setup, automation, testing, and scalable deployment, we help organizations operate smarter, faster, and closer to where it matters most.

Our expertise spans everything from real-time edge AI optimization and embedded system integration to ruggedization testing and environment simulation. We build automated testing rigs for device validation, engineer tailored deployment pipelines, and ensure quality across both hardware and software layers. Our DevOps and software engineers work in tight feedback loops to deliver scalable, secure solutions ready for production. From prototype to deployment — and long-term maintenance — we manage the entire lifecycle, ensuring performance, reliability, and adaptability in the most demanding environments.

Our team bridges the gap between software and hardware, enabling uninterrupted edge environments that operate reliably in the field. We don’t just replicate cloud services — we optimize them for edge performance, reducing latency and bandwidth demands through intelligent local processing and reliable system design.

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Platform Feasibility Study

Why now?

It is time to implement Cloud-to-Edge Convergence!

As digital systems shift closer to the source of data, Cloud-to-Edge Сonvergence has become a necessity, not a future trend. Advances in infrastructure and tools now make edge deployment practical, scalable, and cost-efficient.

Here’s why forward-thinking organizations are embracing the edge right now:

5G rollout

5G rollout

5G makes edge technology essential because it bridges the gap between ultra-fast connectivity and real-time data processing — unlocking new bandwidth-intensive use cases like autonomous vehicles, AR/VR, and smart manufacturing.

Edge-specific compute acceleration

Edge-specific compute acceleration

Specialized chips (e.g., TPUs, NPUs, FPGAs) are optimized for tasks like video processing and machine learning inference directly on edge devices, enabling powerful local intelligence.

Mature edge platforms

Mature edge platforms

Tools like K3s, AWS Greengrass, Azure IoT Edge, and Google Edge TPU make it easier than ever to build, deploy, and manage containerized workloads and AI models on distributed edge infrastructure.

Rise of edge-native applications

Rise of edge-native applications

New applications — such as smart traffic control systems, drone fleets, industrial automation, and precision agriculture — are being designed from the ground up to operate at the edge.

Standardization and interoperability

Standardization and interoperability

Protocols like MQTT, OPC UA, and gRPC — along with open hardware/software standards — are streamlining integration and making multi-vendor ecosystems more manageable and future-proof.

On-device AI inference

On-device AI inference

Advances in AI model compression (e.g., quantization, pruning) make it possible to run intelligent models directly on mobile, embedded, or rugged edge devices without relying on the cloud.

Let's Talk!
Ready to explore how to bring the cloud experience to the edge in your project?