Artificial Solutions
Overall Review Rating
4.8 (6 Ratings)
Overview
Artificial Solutions is the leading specialist in Natural Language Interaction (NLI), a form of Artificial Intelligence that allows people to converse with applications and electronic devices in free-format, natural language, using speech, text, touch or gesture. They have a relentless focus on combining data, insights, and technology with creative design to drive engaging and high-impact digital experiences.
Services
- iOS App Development
- PHP Development
- Mobile App Development
- Web Development
- Ionic App Development
- Content Management System
- iPhone App Development
- Cross Platform Development
- Android App Development
- DevOps
- Data Science & Big Data
- AR App Development
Industries Served
Artificial Solutions Reviews
Have a look at these client reviews on previously delivered projects.
Hyun-Su Lim
Director of Platform - Hanam Tech SolutionsClear-eyed assessment of where we were, followed by a credible plan forward
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
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.
Kelsey Drummond
Director of Digital Health - Crestline Health PartnersMore media coverage from one AR launch than from anything we shipped in the previous year
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 product thinking was strong. Our execution capacity in this specific domain was limited. We needed deep expertise, not a generalist willing to learn on our time.
Zofia Kamińska
CTO - Odra Tech StudioEnd-to-end testing that our development team now considers a productivity asset
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 product roadmap was solid but our internal delivery capacity was stretched thin across maintenance. A trusted external partner for the net-new build was the only option that made timeline sense.
Victoria Haines
Chief Product Officer - Solaris Media GroupThe kind of web build that makes you realise how bad the previous one really was
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
A new public-facing service had to launch alongside a policy announcement. The timeline was fixed externally. We needed a delivery partner who would treat it the same way we did.
Ryan Calloway
Founder & CTO - Apex Digital Media LLCPerformance-first development that Google confirmed was worth it
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 product thinking was strong. Our execution capacity in this specific domain was limited. We needed deep expertise, not a generalist willing to learn on our time.