Innatos Systems Group
Overall Review Rating
4.1 (6 Ratings)
Services
- Crypto Exchange Development
- 3D & Interior Design
- Web Development
- Android App Development
- Mobile App Development
- Digital Strategy Management
- PhoneGap App Development
- iOS App Development
- Chat Bots & AI Development
- Cross Platform Development
- Custom Application Development
- DevOps & Cloud
Industries Served
Innatos Systems Group Reviews
Have a look at these client reviews on previously delivered projects.
Omar Al-Farsi
Chief Technology Officer - Falcon Digital VenturesAutomation that gave our analysts back 12 hours a week. Real ROI, not projected.
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
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.
Giulia Conti
Product Manager - Colosseum Digital SrlSmooth launch, great reviews, no embarrassing bug reports from users in the first month
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
Years of incremental development had left us with a platform that was functional but limiting. A structured rebuild was the agreed path forward.
Tanya Wolfe
Senior Product Manager - Harbor Point ConsultingEditorial team adopted it without a single support escalation. That is a first.
The platform has been live for six months and is handling three times the transaction volume we scoped for. That is not because we underestimated — it is because the architecture choices made during discovery were genuinely forward-thinking. Most vendors design for exactly what you tell them. This team designed for what you are likely to need. We are already scoping the next phase and there was no question about who we would use.
Project summary
Our agents were managing data across four disconnected systems. The time they spent on reconciliation was time not spent with clients. The ROI case for consolidation was obvious.
Bram de Vries
Chief Technology Officer - Windmill Tech BVA vendor that earned a place on our preferred supplier list through delivery, not sales
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
Our connected vehicle platform was accumulating telemetry data from a growing EV fleet with no clean way to act on it. We needed both the infrastructure and the analytics layer.
Takashi Morimoto
Director of IT Strategy - Sakura Digital KKThey understood the difference between AI that demos well and AI that runs in prod
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
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.