About Cheesecake Labs
Their team expresses themselves whenever they think tasks can be performed in a better way. They always make sure to clearly express technical or design constraints and difficulties. By knowing the software business context, the technical constraints and how big players raised their dominance, they help you pick the right technologies, human resources with the correct expertizes and a project workflow that matches your culture.
Last updated May 13, 2026
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Cheesecake Labs Reviews
Write a ReviewDelivered on scope, on time, and with code quality that passed our strictest review
Reuben Loh / CTO - Marina Bay Ventures Pte LtdMay 17, 2026
Project summary: Remote care had gone from an experiment to a core service line and our technology had not kept pace. We needed a robust, compliant telehealth platform in a timeline that the market would not wait for.
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
The quality of documentation they produce means our team needed to set aside dedicated review time to do it justice — a minor scheduling point rather than a genuine criticism
Questions & Answers
Zero-trust implementation that satisfied our enterprise client security questionnaire first pass
Beatriz Cavalcanti / Chief Digital Officer - Cerrado Tech SAApr 17, 2026
Project summary: A content deal had given us the rights to a major catalogue but our delivery infrastructure could not stream it reliably at scale. We needed a cloud-native video platform in under six months.
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.
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
The quality of documentation they produce means our team needed to set aside dedicated review time to do it justice — a minor scheduling point rather than a genuine criticism
Questions & Answers
Performance testing that identified a latency issue three weeks before our biggest traffic event
Danielle Westbrook / Chief Digital Officer - BlueSky Retail HoldingsApr 17, 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.
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.
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
Their discovery process is more rigorous than we were accustomed to and required more preparation from our side than we had initially allocated — but the quality of what followed justified every hour of it
Questions & Answers
Service desk that outperformed our previous in-house team on every SLA we tracked
Bilal Chaudhry / Co-Founder & CTO - Indus Software HouseApr 14, 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.
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
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
CMS that preserved every byte of SEO equity from the old site while adding every feature we needed
Rupert Ashford / Director of eCommerce - Hargrove Retail PLCApr 07, 2026
Project summary: Our actuarial models had outgrown the reporting infrastructure feeding them. Data latency was introducing risk into pricing decisions that the business had decided it could no longer accept.
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.
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
Machine learning in production that the board could see working within eight weeks
Abdullah Al-Shehri / Head of Innovation - Desert Tech VenturesMar 12, 2026
Project summary: Our audience data was fragmented across eight tools with no single identity layer. Personalisation had become impossible without first solving the data foundation.
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
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
Responsive, accessible, and fast — every standard met, every deadline hit
Vikram Srinivasan / Head of Platform - Cascade EdTech SolutionsMar 08, 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.
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.
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
A technology investment that delivered returns ahead of the business case we approved
Siobhan Gallagher / Chief Technology Officer - Northumbria FinTech LtdJan 29, 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.
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.
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
Time zone coordination required some deliberate overlap management from both sides in the first couple of sprints, after which we had an efficient async rhythm that worked for the whole project