About TurtleSoft Solution
TurtleSoft Solution has been in business since 2019, delivering technology projects for clients. Their core services include Mobile App Development and Web Development. Its team includes 10 - 49 specialists working across design, development, and delivery. Typical hourly rates run around $25 - $49 / hr/hr. TurtleSoft Solution holds a 5.0-star rating across 2 client reviews. This gives a quick snapshot of what to expect when working with TurtleSoft Solution.
Where We Specialize
Industry Expertise
Typical Project Size
TurtleSoft Solution Reviews
Write a ReviewPerformance-first web development that Google Core Vitals confirmed was the right approach
Marcus Holloway / SVP of Engineering - Vertex Cloud DynamicsJun 10, 2026
Project summary: Our engineering capacity was committed to maintaining existing systems and could not absorb a net-new build of this complexity. An external partner with the right skills was the only viable option.
What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
Pipeline availability for kickoff required a few weeks of lead time — in hindsight that selection pressure means you are working with a team that is in demand for the right reasons
Questions & Answers
A partnership that began with a single project and earned a place on our preferred vendor list
Zofia Kamińska / CTO - Odra Tech StudioMay 31, 2026
Project summary: Integration between our clinic management system and our patient-facing app had been a recurring failure point. We needed an engineering partner who could own the integration layer end to end.
The technical quality of the final deliverable is the easiest thing to point to. The automated test coverage is thorough, the deployment pipeline is reliable, the documentation is genuinely useful rather than ceremonially produced. But the metric I keep returning to is the number of post-launch conversations we have not had to have. No incident calls at two in the morning. No emergency patches. No retrospective discussions about what went wrong. The absence of those events is the evidence I would show to someone considering this vendor.
Commercially transparent throughout — no hidden assumptions, no bill shock at the end, change requests that were fair and clearly explained rather than used as a margin-recovery mechanism
We underestimated the input required from our subject matter experts during the requirements phase. The team flagged this early but our resource planning did not fully reflect it — our responsibility, not theirs
Questions & Answers
Technology strategy that aligned our board, our CTO, and our engineering team for the first time
Abdullah Al-Shehri / Head of Innovation - Desert Tech VenturesMay 25, 2026
Project summary: Our agents were spending more time managing data across disconnected systems than managing relationships. We needed a unified platform to give them that time back.
We gave this team an aggressive timeline, a technically complex scope, and a client-side project team that was stretched thin and not always available at the speed the engagement required. They absorbed all of that gracefully. Where they needed input they were precise about what they needed and when. Where they could proceed independently they did. The result was a delivery that landed on time despite the constraints on our side, which I regard as evidence of genuine professional maturity.
Delivery timeline that proved achievable rather than optimistic, estimation accuracy that reflected real analysis rather than competitive bidding, scope discipline that prevented the feature creep we had experienced before
Pipeline availability for kickoff required a few weeks of lead time — in hindsight that selection pressure means you are working with a team that is in demand for the right reasons
Questions & Answers
CRM that finally unified our sales, marketing, and customer success teams in one system
Théo Beaumont / VP of Innovation - Laurentian Tech PartnersApr 03, 2026
Project summary: Our internal product thinking was strong but our execution capability in this specific technology domain was limited. We needed depth, not generalism.
We had worked with three agencies before this engagement. The comparison is not flattering to the others. What distinguished this team was a systematic approach to understanding the problem before proposing a solution — something that sounds obvious and is practiced far less often than it should be. The delivery phase ran to schedule, the codebase is clean enough that our internal engineers made positive comments during handover review, and we have not logged a critical incident in five months of live operation. We intend to use them for our next phase of work.
Commercially transparent throughout — no hidden assumptions, no bill shock at the end, change requests that were fair and clearly explained rather than used as a margin-recovery mechanism
Pipeline availability for kickoff required a few weeks of lead time — in hindsight that selection pressure means you are working with a team that is in demand for the right reasons
Questions & Answers
Business system that replaced seven legacy tools and consolidated our data model entirely
Omar Al-Farsi / Chief Technology Officer - Falcon Digital VenturesMar 26, 2026
Project summary: A previous engagement had delivered something that worked in staging and struggled in production. We approached this project with greater rigour in vendor selection as a result.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
The engagement was priced at the quality level rather than the budget level. We evaluated the alternatives and concluded that the delta was a reasonable premium for the reduction in delivery risk
Questions & Answers
Machine learning in production that the board could see working within eight weeks
Adriana Voss / Director of Platform Engineering - Cascadia Digital VenturesMar 20, 2026
Project summary: Dynamic pricing had been a manual process for years. We knew the revenue management opportunity was significant but lacked the technical capability to build the models and connect them to our booking engine.
Six months after go-live our platform is processing three times the transaction volume we specified in the original brief. The architecture choices made during discovery accommodated that growth without remediation work. That is the difference between a team that designs for what you tell them and a team that designs for what you are likely to need. We are in conversation about a Phase 2 engagement and I expect to be using this partnership for several years.
Collaborative culture that made the team feel like a genuine extension of our organisation, strong asynchronous communication across time zones, zero-drama handling of the inevitable mid-project changes
Their insistence on a detailed functional specification before development began felt like friction at the time. In retrospect, it was the reason the development phase ran without the ambiguity that has derailed similar projects for us previously
Questions & Answers
Mixed reality build that landed exactly where the brief pointed and then went further
Lars Pfeiffer / VP of Technology - NordTech Logistik GmbHFeb 03, 2026
Project summary: Unplanned downtime had become our single largest cost driver and our data showed that predictive maintenance could address the majority of it — if we had the right infrastructure to act on it.
What made the most difference in practice was the quality of the engineering judgment on this team. Not the ability to execute a specification — that is a baseline expectation. The ability to recognise when a specification was suboptimal, explain why, propose an alternative, and support the client in making a decision about it. That consultative dimension elevated the output beyond what the brief described and resulted in a product that is more fit for purpose than the one we had originally specified.
Commercially transparent throughout — no hidden assumptions, no bill shock at the end, change requests that were fair and clearly explained rather than used as a margin-recovery mechanism
Their insistence on a detailed functional specification before development began felt like friction at the time. In retrospect, it was the reason the development phase ran without the ambiguity that has derailed similar projects for us previously