Helpware Tech

Advanced

Custom software development and AI solutions

Overview Locations Service lines Industries Technologies Case studies Rates Certifications Leadership Insights Events Social networks

Overview

800

employees

2005

founded

Mount Sterling

United States

HW Tech is a division of Helpware company focused on software development & AI solutions. Formed as a result of merging ETEAM and Unicsoft, it brings together 20 years of collective experience.

- 200+ completed projects - 20 years in business - 800+ seasoned software engineers - 18 offices around the globe - 4.5 years average team tenure - 5 years average client relationship - 5000+ accessible tech talents worldwide - 80% Returning Customer Rate - 93% Net Promoter Score We empower healthcare, pharmaceuticals, and fintech businesses with impactful solutions that transform complex processes and drive efficiency. HW.Tech helps both startups and enterprises excel in regulated markets by navigating stringent compliance regulations, ensuring bulletproof data security, and bringing high-quality processes to every project. - AWS Consulting Partner - ISO/IEC 25010, ISO 2700, ISO 9001 Compliance - SOC 2 Type 1 Compliance - HIPAA Compliance Trusted by Fortune 500 companies & industry leaders: Microsoft, Google, StubHub International, CompIQ, Publicis Groupe.

Contact details

Business info

Publicly traded: No
Majority shareholders: Institutional Investors

Locations

USA Headquarters, Kentucky, United States

Headquarters

Founded2005

Employees800

402 Campbell Way, Mt Sterling, KY 40353, USA

United Kingdom, United Kingdom

Founded2005

Employees800

2nd floor, 6 Market Pl, London W1W 8AF, UK

Germany, Germany

Founded2005

Employees800

Kemperpl. 1, 10785 Berlin, Germany

Cyprus, Cyprus

Founded2005

Employees800

Georgiou 'A 14-office 15, Germasogeia 4047, Cyprus

Switzerland, Switzerland

Founded2005

Employees800

Gotthardstrasse 26, 6300 Zug, Switzerland

Service lines

Artificial Intelligence (AI)15%

Industries

Life Sciences35%

Healthcare30%

Technology15%

Technologies

Azure Cosmos DBDatabricksDjangoDockerGoGoogle Cloud AutoMLGrafanaHELMJavaJavaScriptJenkinsKotlinKubernetesMongoDBNode.jsPHPPostgreSQLPythonPyTorchRabbitMQReact NativeRuby on RailsRustSwiftTensorFlowTerraformTypeScriptVue.js

Case studies

View all1 / 4

Dossier bot for automated value dossier generation

Helpware Tech developed Do-Bo, an intuitive AI-enhanced summarization solution with machine learning capabilities that accurately transforms lengthy clinical trial and SLR reports into concise drug study reports for regulatory agencies.

Price tracking and analytics tool for LUCIRA by Pfizer

HW.Tech has developed an automated data sourcing tool for price monitoring, which aids Pfizer in establishing more effective collaborative pricing strategies with distributors.

AI-powered market intelligence tool for the pharmaceutical segment

A generative AI chatbot designed to summarize strategic policy and market information for the pharmaceutical sector. The platform delivers concise summaries with key trends, policy impacts, and recommendations to help make pharma businesses more efficient.

Indicative rates

Rates not shared by provider.

Certifications³

ISO 9001

Quality Management Systems

Since 2024

ISO 27001

Information Security Management Systems

Since 2024

ISO 25010

Systems and software Quality Requirements and Evaluation (SQuaRE) — Product quality model

Since 2024

Leadership

Robert Nash

CEO, President

Alex Zavgorodniy

VP of IT Consulting

Viktor Grytsai

VP of IT Operations

Oleksandr Menzheres

VP of Engineering

Insights

Fixing Customer Service Gaps That Drive Churn

Customer service failures often stem less from isolated agent errors than from weak operating design across channels, feedback loops, personalization, and training. The article identifies five recurring issues: poor understanding of customer needs, limited communication options, underused feedback, inconsistent personalization, and inadequate staff enablement. It argues that omnichannel coordination, CRM-supported context, and structured training are practical levers for improving service quality and retention. For technology and operations leaders, the implication is clear: customer experience depends on how well support processes, data, and frontline capabilities work together.

Planning MVP Costs and AI Trade-Offs in 2026

MVP planning in 2026 is less about a single build estimate and more about controlling scope, speed, architecture, and hidden operational costs. The article frames cost as a function of product complexity, delivery model, geography, platform choice, and stack, then adds often-missed items such as compliance, cloud hosting, third-party APIs, and maintenance. It also argues that AI-assisted development can reduce delivery effort by roughly 30–40% for scaffolding, CRUD, testing, documentation, and refactoring, while increasing the need for code review, security validation, and architectural oversight. For technology leaders, the implication is clear: faster and cheaper MVP delivery is possible, but only with disciplined scope control and strong engineering governance.

Events

ISPOR 2026 USA - Improving healthcare decisions

17 May 2026 – 20 May 2026

ConferenceIn-person

United States

ISPOR Europe 2026 - Improving healthcare decisions

8 Nov 2026 – 11 Nov 2026

ConferenceIn-person

Austria

Helpware Tech

Overview

Locations

Service lines

Industries

Technologies

Case studies

Indicative rates

Certifications3

Leadership

Insights

Events

Social networks

Certifications³