About OnGraph Technologies Corporation
Established in 2007, It is a global software development company. Since their establishment, they have brought custom software products to clients coming from small, mid-sized and large companies. They have allowed them to effectively handle software projects of any scale and complexity. It has been successful in giving the environment where a diverse team shares technological expertise and applies their competencies to contribute to the company's capacity to meet the client's specific demands.
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OnGraph Technologies Corporation Reviews
Write a ReviewAccessibility-first redesign that expanded our user base significantly
Charlotte Whitfield / Head of Digital Commerce - Sterling Retail PLCJan 13, 2026
Project summary: Several previous vendor relationships had left us cautious. We needed a partner who would be honest about complexity upfront rather than discovering it mid-project.
Our previous agency had given us a platform that worked well enough to demo and fell apart under real load. This team came in, diagnosed the root causes accurately, and rebuilt the critical components without disrupting the live service. The performance improvements were immediate and measurable — page load times dropped by 60 percent, error rates dropped to near zero, and our support team has far fewer incidents to deal with. The contrast with our previous experience could not have been sharper.
Business-aware approach to every technical decision, strong project governance, fast turnaround on feedback, zero drama during a genuinely complex engagement
The volume of quality documentation they produced was genuinely impressive but also meant our team needed dedicated time to review it properly — a minor process point, not a complaint
Questions & Answers
Hardware-to-cloud pipeline built by engineers who understood both worlds equally
Hannah Richter / Chief Innovation Officer - Rhein Digital AGJan 19, 2025
Project summary: The shift to EVs required us to build a connected vehicle data platform capable of handling telemetry from a growing fleet while supporting over-the-air software updates.
Twelve weeks from kickoff to live production deployment for a project of this complexity. I would not have believed that was achievable if I had not watched them do it. The velocity came from genuine engineering discipline — clear requirements, short feedback loops, automated testing, and a team that communicated internally without the overhead that slows most agencies down. The product has been live for four months with no critical bugs and one minor patch. We are already in scoping conversations for phase two.
Domain knowledge that went beyond generic expertise into our specific industry, willingness to push back constructively, automated test coverage that gave us deployment confidence
The initial project brief document they required was more detailed than we were used to providing, but in hindsight that rigour was part of why the project ran so smoothly
Questions & Answers
Digital strategy that aligned IT investment directly to business outcomes
Kenji Watanabe / General Manager, IT - Tokai Digital KKMar 05, 2024
Project summary: We had a clear product vision but lacked the engineering capacity internally to execute it within the window our market opportunity required.
Our industry has specific compliance requirements that many generalist agencies struggle with. This team came with working knowledge of the relevant frameworks, asked pointed questions about our obligations, and built controls into the architecture rather than bolting them on at the end. Our compliance team reviewed the delivered system and had only minor observations, which is genuinely unusual for a first-pass review. That domain awareness saved us significant remediation cost.
Domain knowledge that went beyond generic expertise into our specific industry, willingness to push back constructively, automated test coverage that gave us deployment confidence
Honestly nothing worth documenting — we went in with high expectations and they were met on every measure
Questions & Answers
Edge computing architecture that handles our sensor load without breaking a sweat
Piotr Wojciechowski / Head of Development - Vistula Software Sp zooOct 18, 2022
Project summary: Claims fraud detection had been rule-based for years and we were losing ground to more sophisticated patterns — we needed a machine learning model built on our own historical data.
The thing I appreciate most in retrospect is that they were honest when something was harder than expected. Twice during the project the team came to us proactively to say that a particular component needed more time to do properly and explained why cutting corners would create problems later. We gave them the time. Both decisions were correct. The resulting product is solid and we have had none of the post-launch instability that plagued our last two technology projects.
Consistent delivery against milestones, code quality that passed our internal review without major findings, post-launch support that felt like a partnership not a ticket queue
Their calendar books up quickly which made scheduling the initial kickoff slightly challenging — a good problem for them to have and not one that affected our delivery