About Algorithm Solutions
Algorithm Solutions is a software development company that turns ideas into working products. Algorithm Solutions focuses on Mobile App Development. Its team includes 10 - 49 specialists working across design, development, and delivery. Projects are generally billed around $25 - $49 / hr/hr. Clients have rated Algorithm Solutions 4.9 out of 5 in 7 reviews. Their home base is Yerevan, Armenia. Overall, Algorithm Solutions is one of the options worth shortlisting for a technology project.
Where We Specialize
Industry Expertise
Typical Project Size
Algorithm Solutions Reviews
Write a ReviewA technology investment that delivered returns ahead of the business case we approved
Omar Al-Farsi / Chief Technology Officer - Falcon Digital VenturesMay 15, 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.
Our stakeholder group included board members, clinical leads, compliance officers, and end users — each with different technical literacy and different success criteria. This team navigated that stakeholder landscape as well as any vendor I have seen. They adjusted their communication register depending on the audience without losing the substance. They managed expectations honestly throughout. And they delivered a system that each group can point to as meeting their requirements. That breadth is genuinely uncommon.
Clear and consistent communication adapted appropriately for both technical and non-technical stakeholders, shared tooling that gave our team real-time visibility, reliable sprint delivery throughout
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
End-to-end quality programme that halved our post-release incident rate inside three months
Priya Chandrasekaran / VP of Data & AI - Wavefront Analytics IncApr 28, 2026
Project summary: First notice of loss processing was taking three days on average. Market benchmarks were under four hours. Automation of the intake and triage workflow was the agreed priority.
I came into this engagement as a sceptic. We had been through a failed implementation with a previous vendor and I had high standards for what evidence of competence looked like before I would trust a partner with our core systems. This team earned that trust progressively — through the quality of the discovery documentation, the rigour of the technical proposals, the consistency of the sprint deliveries, and ultimately the stability of the production system. I no longer lead with scepticism when recommending them.
Production system that has performed as specified since go-live without remediation work, documentation thorough enough to support internal maintenance, knowledge transfer that left our team genuinely capable
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
Nisha Pillai / Director of Engineering - GrowthBridge VenturesApr 22, 2026
Project summary: Several years of incremental development had left us with a platform that was technically functional but strategically limiting. A structured rebuild was the agreed path forward.
Our stakeholder group included board members, clinical leads, compliance officers, and end users — each with different technical literacy and different success criteria. This team navigated that stakeholder landscape as well as any vendor I have seen. They adjusted their communication register depending on the audience without losing the substance. They managed expectations honestly throughout. And they delivered a system that each group can point to as meeting their requirements. That breadth is genuinely uncommon.
Senior-level engineering presence throughout the entire project, not just during the pitch, honest and commercially fair handling of scope changes, codebase that our internal team praised on review
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
CRM integration that connected our marketing automation to our revenue motion seamlessly
Radosław Kowalczyk / Head of Development - Wisła Software Sp zooApr 15, 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.
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.
Senior-level engineering presence throughout the entire project, not just during the pitch, honest and commercially fair handling of scope changes, codebase that our internal team praised on review
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
Sensor network and analytics layer built by engineers who understood both halves equally
Maja Söderström / Head of Product Engineering - Scandia Digital ABApr 13, 2026
Project summary: The project had a board-facing delivery date tied to a strategic initiative. We needed a partner who would treat that date as their own, not ours.
The integration layer was the part of the project I was most concerned about going in. Our system landscape is complex, several of the upstream APIs we relied on were poorly documented, and two third-party vendors had a history of unpredictable response times on integration questions. This team managed all of that. They documented what the upstream vendors could not, built resilience into the integration architecture where the upstream behaviour was unreliable, and delivered a solution that works as specified in production. I could not have asked for more.
Clear and consistent communication adapted appropriately for both technical and non-technical stakeholders, shared tooling that gave our team real-time visibility, reliable sprint delivery throughout
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
Web3 architecture designed for the real world, not just for the pitch deck
Matthieu Renard / Directeur Technique - Lumière Technologies SASMar 10, 2026
Project summary: The transition to EV had created demand for dealer network management capabilities our existing system was not designed to support. A targeted rebuild was the agreed path forward.
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
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
Sensor network and analytics layer built by engineers who understood both halves equally
Marcus Holloway / SVP of Engineering - Vertex Cloud DynamicsJan 18, 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.
The thing that retrospectively seems most significant is how little drama there was. Complex technology projects tend to accumulate incidents, escalations, and tense conversations. This one did not. Problems were surfaced before they became incidents. Scope changes were handled with process rather than conflict. Risks were managed rather than avoided. That level of maturity is rare in my experience and it made the delivery feel almost effortless from our side, which I know it was not from theirs.
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