DeepSoft
Overall Review Rating
4.6 (7 Ratings)
Services
- Ruby on Rails
- Mobile App Development
- Platform Development
- Cloud Security Services
- Drupal
- AI Development
- Cross Platform Development
- Maintenance
- Android App Development
- Web Development
- iOS App Development
- Digital Marketing
Industries Served
DeepSoft Reviews
Have a look at these client reviews on previously delivered projects.
Jordan Fischer
Director of Engineering - Mesa Technologies IncWe went from arguing about the numbers to acting on them. The platform made that possible.
Our stakeholder group was unusually broad — board sponsors, operational users, compliance leads, and an IT team with strong opinions. I have watched vendors handle that kind of environment badly. This team adjusted how they communicated depending on who they were talking to, managed expectations honestly when things shifted, and delivered something that each group considers a success. Getting everyone to agree on that outcome was not straightforward and they deserve credit for making it happen.
Project summary
The business case had been approved but the internal resource to execute it had not materialised. External delivery was the pragmatic solution.
Declan Hartley
Chief Digital Officer - Southern Cross TechnologyConnected platform that turned our maintenance team from reactive to predictive
What set this team apart in practice was their engineering judgment — specifically, their willingness to tell us when our requirements were wrong and explain what to do instead. Not every vendor does that. The consultative element elevated the final output well beyond what our original brief described. We ended up with something better than what we had asked for, which is not a sentence I expected to be writing in a review.
Project summary
Streaming quality issues were generating subscriber churn at a rate that made the technical investment case straightforward to approve.
Siobhan Gallagher
Chief Technology Officer - Northumbria FinTech LtdObservability stack that caught three production issues before any user reported them
Honestly, I came into this engagement with some scepticism. We had a bad experience with a vendor twelve months earlier and I wanted to see evidence of competence, not just hear about it. The discovery documentation was the first signal. The sprint delivery consistency was the second. By go-live I had stopped being sceptical and started planning how to expand the engagement. The production system has been stable from day one and our internal team loves working with the codebase they left us.
Project summary
Peak season traffic would regularly expose platform instability. Every year we patched. Finally we decided to fix it properly rather than worry about it again twelve months later.
Yuki Hashimoto
Head of Product Development - East Asia Commerce KKOur team stopped guessing and started deciding. That is what good ML looks like.
Three months post-launch our key metrics are all moving in the right direction — user adoption ahead of target, support volume down, time-on-task reduced for our core workflows. The product team has started planning features that were never viable on the previous platform. That is the real proof of the investment: it opened up possibilities rather than just replacing what was there before.
Project summary
Our clinic management system and patient app had never integrated cleanly. The manual workaround had become a daily operational burden that the engineering team had run out of ways to patch.
Thabo Ndlovu
Head of Technology - Highveld Tech Pty LtdProposal matched the outcome. That alignment is rarer than vendors acknowledge.
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 OEE reporting relied on manual data entry at the line level. We needed real-time, reliable data and our existing systems were not going to provide it without a significant rebuild.