About Cybetiq Pvt Ltd
Cybetiq Pvt Ltd works with clients to plan, build, and ship digital products. The company's main offerings are Digital Marketing and Branding & Graphic Design. With 10 - 49 people on staff, Cybetiq Pvt Ltd can take on projects of varying size. Projects are generally billed around < $25 / hr/hr. Their home base is Noida, India. These details offer a useful starting point when evaluating Cybetiq Pvt Ltd.
Where We Specialize
Industry Expertise
Typical Project Size
Cybetiq Pvt Ltd Reviews
Write a ReviewCommerce platform that handled peak-day traffic at twelve times normal load without incident
Jia Hui Tan / VP of Engineering - RedDot Technologies Pte LtdFeb 12, 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.
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
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
Penetration test that found things our previous vendor had missed for two consecutive years
Clémentine Aubert / Head of Digital Products - Arc-en-Ciel Digital SASJan 30, 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.
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.
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
Questions & Answers
CMS that preserved every byte of SEO equity from the old site while adding every feature we needed
Théo Beaumont / VP of Innovation - Laurentian Tech PartnersJan 22, 2026
Project summary: Grid modernisation funding required us to demonstrate demand-response capability. The machine learning models existed on paper; we needed an engineering partner to build and productionise them.
The project brief was ambitious and we had received proposals ranging from two to five times our eventual budget from other vendors. This team came back with a proposal that was commercially realistic and technically credible — and then delivered against it. That alignment between proposal and outcome is not something I take for granted. I have been on the other side of it enough times to know it requires both honesty in the sales process and discipline in delivery. We experienced both.
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
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
Shreya Krishnaswamy / VP of Product - Luminar Tech Pvt LtdJan 19, 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 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.
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