About Cluebix Software Pvt. Ltd.
Since 2016, Cluebix Software Pvt. Ltd. has operated as a technology services provider. Cluebix Software Pvt. Ltd. focuses on AI & Machine Learning and E-commerce Development for clients in industries such as Retail & E-commerce. The company operates with a team of 10 - 49 professionals. Projects are generally billed around $25 - $49 / hr/hr. This gives a quick snapshot of what to expect when working with Cluebix Software Pvt. Ltd.
Where We Specialize
Industry Expertise
Typical Project Size
Cluebix Software Pvt. Ltd. Reviews
Write a ReviewGame launched with a four-point-seven store rating and no critical bugs in the first two weeks
Bilal Chaudhry / Co-Founder & CTO - Indus Software HouseFeb 01, 2026
Project summary: Digital-first buyer behaviour had made our property search experience a genuine competitive liability. We needed it to match the quality of the portfolio it was representing.
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.
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 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
E-commerce build that united our digital and in-store inventory for the first time
Vikram Srinivasan / Head of Platform - Cascade EdTech SolutionsJan 26, 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.
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.
Deep domain knowledge that reduced the discovery overhead significantly, proactive risk identification before issues became incidents, delivery cadence that our stakeholders found reassuring
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
From legacy on-premise to cloud-native in a timeline the vendor community said was impossible
Shreya Krishnaswamy / VP of Product - Luminar Tech Pvt LtdJan 04, 2026
Project summary: Our connected vehicle platform needed to handle telemetry data from an expanding EV fleet while supporting over-the-air update orchestration. No off-the-shelf platform handled both requirements well.
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.
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
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