With in-house expert web developers and designers, iCentric helps companies in London and the rest of the UK of all sizes and industries evolve by transforming all of their processes, strategies and end-results. To achieve excellence and results, they use the latest technologies like .NET Core, EF, NoSQL, Angular IO, Node JS, React, among others. They work with both Azure and AWS cloud providers, utilising the best micro-services for the tasks in hand, from distributed caches to AI services. Founded in 2004, some of their clients include Isuzu, Travelodge, United Nations, or Fujifilm, to name a few.
With in-house expert web developers and designers, iCentric helps companies in London and the rest of the UK of all sizes and industries evolve by transforming all of their processes, strategies and end-results. To achieve excellence and results, they use the latest technologies like .NET Core, EF, NoSQL, Angular IO, Node JS, React, among others. They work with both Azure and AWS cloud providers, utilising the best micro-services for the tasks in hand, from distributed caches to AI services. Founded in 2004, some of their clients include Isuzu, Travelodge, United Nations, or Fujifilm, to name a few.
AI Overview
Performance snapshot
iCentric Agency presents a consistently strong performance profile across all 16 reviewed engagements, with every rating on record scoring a perfect 5.0. The vendor demonstrates broad technical range spanning custom software, AI, IoT, e-commerce, and UX/UI design, serving clients across multiple industries and geographies. All five evaluation categories rate as Strong, underpinned by multiple anchor reviews containing specific metrics, named technologies, and quantified outcomes. The primary analytical caveat is that the majority of completed projects predate 2023, with only two engagements confirmed as ongoing or recent.
Performance breakdown
Technical expertise
StrongReviewers cite proficiency across Angular, React, Redux, Java EE, JBoss EAP, IoT infrastructure, Power BI, WooCommerce AI integration, and JupyterLab. Multiple anchor reviews confirm use of machine learning for forecasting and bespoke enterprise API development with no negative technical mentions.
Project management & delivery
StrongMultiple clients confirm on-time or ahead-of-schedule delivery, sprint-based task management, and well-defined SOWs including milestones and deadlines. One reviewer noted 80% on-time completion, but no client cited this as a significant concern or area for improvement.
Communication & collaboration
StrongClients across multiple reviews cite high-quality communication via email, virtual meetings, messaging apps, and Google Docs. Proactive status updates, written documentation of changes, and responsiveness to evolving requirements are consistently highlighted with no negative communication mentions.
Reliability
StrongReviewers report stable, bug-free deliverables, with one client noting the team fixed bugs and optimized software to enhance performance and user experience. No reviewer cited recurring defects or delivery failures, and one client extended the initial contract based on platform reliability.
Client satisfaction & outcomes
StrongQuantified outcomes include a 15–20% revenue increase for a nonprofit, £10,800 annualized operational savings for a bounty platform, and 30–40% of a medical firm's business shifted online. Machine learning-driven forecasting accuracy improvements and inventory waste reduction further anchor the outcome evidence base.
Best for
iCentric Agency is best suited for SMEs and mid-market organizations seeking custom software development, AI integration, or platform modernization. Its cross-industry experience and cost-competitive positioning make it a strong fit for budget-conscious projects requiring measurable business outcomes.
Clients info
iCentric Agency serves a diverse client base spanning hospitality, information technology, media, education, business services, and nonprofit sectors. Clients are predominantly small to mid-sized organizations, with most falling in the 1–200 employee range. Project budgets are typically between $10,000 and $49,999, with select engagements reaching $200,000–$999,999. Primary industries represented include Information Technology, Hospitality & Leisure, Business Services, Media, Education, Nonprofit. Typical client size bands include 1–10 Employees, 11–50 Employees, 51–200 Employees. Common project budget ranges include $10,000 to $49,999, $50,000 to $199,999, $200,000 to $999,999.
Review strength
The assessment is based on 16 reviews drawn from a single platform. All reviews are dated between November and December 2025, with one exception dated September 2026. However, the majority of underlying project durations ended between 2016 and 2023, meaning most reflect retrospective accounts of older engagements rather than current performance. Only two projects are confirmed as ongoing. Review date range: Nov 2, 2025 - Sep 29, 2026.
Performance breakdown
Technical expertise
StrongReviewers cite proficiency across Angular, React, Redux, Java EE, JBoss EAP, IoT infrastructure, Power BI, WooCommerce AI integration, and JupyterLab. Multiple anchor reviews confirm use of machine learning for forecasting and bespoke enterprise API development with no negative technical mentions.
Project management & delivery
StrongMultiple clients confirm on-time or ahead-of-schedule delivery, sprint-based task management, and well-defined SOWs including milestones and deadlines. One reviewer noted 80% on-time completion, but no client cited this as a significant concern or area for improvement.
Communication & collaboration
StrongClients across multiple reviews cite high-quality communication via email, virtual meetings, messaging apps, and Google Docs. Proactive status updates, written documentation of changes, and responsiveness to evolving requirements are consistently highlighted with no negative communication mentions.
Reliability
StrongReviewers report stable, bug-free deliverables, with one client noting the team fixed bugs and optimized software to enhance performance and user experience. No reviewer cited recurring defects or delivery failures, and one client extended the initial contract based on platform reliability.
Client satisfaction & outcomes
StrongQuantified outcomes include a 15–20% revenue increase for a nonprofit, £10,800 annualized operational savings for a bounty platform, and 30–40% of a medical firm's business shifted online. Machine learning-driven forecasting accuracy improvements and inventory waste reduction further anchor the outcome evidence base.