About Inferencia AI Solutions
Inferencia AI Solutions is a software development company that turns ideas into working products. The company's main offerings are AI & Machine Learning, Mobile App Development and UI/UX Design. Inferencia AI Solutions employs 10 - 49 people. Typical hourly rates run around $25 - $49 / hr/hr. Clients have rated Inferencia AI Solutions 5.0 out of 5 in 13 reviews. Their home base is Córdoba, Argentina. This profile is a starting point — reach out to Inferencia AI Solutions directly to discuss project specifics.
Where We Specialize
Industry Expertise
Typical Project Size
Inferencia AI Solutions Reviews
Write a ReviewPlatform engineering work that let our product teams move independently at last
Danielle Westbrook / Chief Digital Officer - BlueSky Retail HoldingsMay 17, 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 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.
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
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 studio team who played the game obsessively and built it accordingly
Vikram Srinivasan / Head of Platform - Cascade EdTech SolutionsMay 03, 2026
Project summary: Evolving open banking obligations required us to rebuild our API layer from the ground up. The architecture needed to be compliant by default, not bolted on after the fact.
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.
Architectural decisions designed for longevity rather than just the current brief, thorough automated test coverage, post-launch stability that validated every technical choice made during discovery
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
IoT architecture that scaled from pilot to full fleet without a single redesign
Sebastian Lapointe / CTO - Boreal Systems IncApr 13, 2026
Project summary: B2B customer churn was concentrated among accounts that had complained about portal usability. We needed a complete redesign of the self-service experience before the next contract renewal cycle.
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.
Architectural decisions designed for longevity rather than just the current brief, thorough automated test coverage, post-launch stability that validated every technical choice made during discovery
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
Data engineering quality that will support our growth for years without a rebuild
Abdullah Al-Shehri / Head of Innovation - Desert Tech VenturesApr 12, 2026
Project summary: B2B customer churn was concentrated among accounts that had complained about portal usability. We needed a complete redesign of the self-service experience before the next contract renewal cycle.
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.
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
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
Blockchain expertise that came with clear explanations, not just technical jargon
Clémentine Aubert / Head of Digital Products - Arc-en-Ciel Digital SASMar 11, 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.
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.
Architectural decisions designed for longevity rather than just the current brief, thorough automated test coverage, post-launch stability that validated every technical choice made during discovery
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
Responsive, accessible, and fast — every standard met, every deadline hit
Fatima Al-Suwaidi / Head of Digital Strategy - Gulf FinTech HoldingsJan 06, 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.
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.
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
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