Weidert Group
Overall Review Rating
4.6 (6 Ratings)
Services
- Web Development
- Private Blockchains
- Hybrid App Development
- iOS App Development
- IoT App Development
- AngularJS Development
- Cloud Governance
- Cross Platform Development
- Android App Development
- Mobile App Development
- Ethereum Blockchain
- AI Development
Industries Served
Weidert Group Reviews
Have a look at these client reviews on previously delivered projects.
Ji-Woo Park
VP of Engineering - Seoul Digital CorpTechnically strong, commercially fair, and genuinely good to work with
The technical quality is the obvious thing to highlight. The automated test suite is comprehensive, the deployment pipeline is solid, and the documentation is actually useful rather than written to satisfy a checklist. But the metric I keep coming back to is what has NOT happened since go-live. No 2am incident calls. No emergency patches. No post-launch retrospectives about what went wrong. For a system of this complexity, that outcome is exactly what we paid for.
Project summary
Post-pandemic buyer behaviour had shifted heavily to online. Our digital infrastructure had not kept pace with that shift and it was showing in our inquiry volumes.
Tariq Al-Harbi
Director of Technology - Saudi Cloud HoldingsVR training module preferred by 89% of trainees over the classroom alternative
I have been through several technology implementations in my career. The pattern I am used to is: detailed proposal, optimistic timeline, scope creep, overrun, excuses at the end. This engagement broke that pattern at every stage. The timeline was realistic from the start. Changes were managed through process. The final delivery matched what was agreed. Simple, but uncommon.
Project summary
Our internal team was committed to maintenance and could not absorb a new build of this complexity. An external partner was the only way to hit the timeline.
Declan Hartley
Chief Digital Officer - Southern Cross TechnologyPrimary keywords moved from page two to position three in five months
We have worked with a few agencies over the years and the comparison is honestly not close. What stood out from the start was that they spent serious time understanding the problem before they proposed anything. Once development started, every sprint review was clean — no hidden surprises, no slipped milestones. The production system has been running for four months without a single critical issue. Our internal developers reviewed the codebase at handover and were genuinely complimentary about the quality. That does not happen often.
Project summary
OTA dependency was hurting our margins. A direct booking experience that could genuinely compete required an investment we had been postponing for too long.
Julien Moreau
Co-Founder & CTO - TechLyon SASOutperformed our in-house team on every SLA we tracked from month one
What I appreciated most was that they were honest when things were not going to plan. There was one point mid-project where a dependency was going to affect our timeline and they told us three weeks before it would have become critical. That gave us time to adjust. Vendors who manage upward proactively are rare. This one did it consistently throughout the engagement.
Project summary
Matter administration time had grown to the point where it was showing up in utilisation metrics. Every hour spent on systems was an hour not billed — the business case did not need modelling.
Lynne Robichaud
Director of Product - Atlantic Digital CorpUser research surfaced friction points we had stopped noticing. Eye-opening.
Looking back, what strikes me most is how little drama there was. Real technology projects have problems. This one had them too — but every problem was flagged before it became a crisis, every scope change was handled through a proper process, and every risk was managed rather than buried. Our project manager said it was the smoothest vendor engagement he had been involved in. Given how complex the technical requirements were, I think that reflects genuine delivery maturity.
Project summary
Grid modernisation funding required us to demonstrate demand-response capability. The ML models existed on paper — we needed an engineering partner to build and deploy them.