About Ingenia Agency
The business of developing a strong brand has changed. If you continue to rely on your traditional agency to help execute your digital strategy, you might need help. Ingenia is a digital-first marketing and technology company, which means that their business is to build powerful and effective online brands. They make value by technology and inspired creativity, and most importantly, they deliver this with great service. It might sound cliché, but it drives everything they do.
Services
Industries Served
Ingenia Agency Reviews
Write a ReviewInfrastructure-as-code that our SRE team treats as a reference example
Bilal Chaudhry / Co-Founder & CTO - Indus Software HouseJan 06, 2026
Project summary: Our mobile app had a 2.9-star average review score. The two themes in every negative review were speed and booking flow complexity — both were solvable with the right engineering partner.
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.
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
App store launch with a four-point-eight average rating in the first month
Kelsey Drummond / Director of Digital Health - Crestline Health PartnersJan 04, 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 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
Data engineering quality that will support our growth for years without a rebuild
Zara Hussain / Head of Technology - Ravi Digital AgencyJan 01, 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.
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
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
Analytics infrastructure that made our data science team genuinely productive for the first time
Erik Lindqvist / Chief Technology Officer - Nordic Cloud ABJan 01, 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.
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
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