About Creative360
They are a mobile app design and development company based in the heart of NYC. Their focus has been on being a technology partner for their clients, helping them improve, design, and, finally, launch their mobile apps. This focus is their passion and, therefore, it has become the capabilities of their agency. They collaborate system apps with modern mobile technology to drive perfection and add value to the firm.
Services
Mobile App Development
Web Development
UI-UX Design
Web Design
E-commerce Development
SEO
Creative360 Reviews
Write a ReviewAI integration that automated work we thought would always need a human
Zoe Carmichael / Head of Innovation - Red Centre Technologies
Verified
Dec 12, 2024
Dec 12, 2024
Project summary: We needed to connect our factory floor systems to our ERP to give operations management real-time visibility into production status, waste, and throughput.
Our industry has specific compliance requirements that many generalist agencies struggle with. This team came with working knowledge of the relevant frameworks, asked pointed questions about our obligations, and built controls into the architecture rather than bolting them on at the end. Our compliance team reviewed the delivered system and had only minor observations, which is genuinely unusual for a first-pass review. That domain awareness saved us significant remediation cost.
PROS
Engineering quality that our internal team can maintain without calling the vendor, thorough documentation, proactive risk identification throughout the project
CONS
Honestly nothing worth documenting — we went in with high expectations and they were met on every measure
Project TypeAI & Machine Learning
IndustryManufacturing
Project Cost$50,000 to $149,999
DurationAug 2025 – Apr 2026
Questions & Answers
Please describe your company, your role, and the industry you operate in.
Red Centre Technologies is a Manufacturing business based in Melbourne, Australia. As Head of Innovation I am responsible for all technology investment decisions, vendor selection, and ensuring our digital capabilities match our growth ambitions. We operate in a competitive market where the quality of our software directly affects our ability to win and retain clients.
What specific problem or business challenge led you to hire this company?
Our Manufacturing regulatory environment had changed and the compliance timeline was non-negotiable. We needed to rebuild specific components of our system to meet the new requirements and our internal team was already fully committed to the core product roadmap. Bringing in a specialist AI & Machine Learning partner was the only realistic path.
What services did the company provide for your project?
End-to-end AI & Machine Learning delivery with a particular emphasis on the integration layer that connected the new build to our existing Manufacturing infrastructure. They also provided UI/UX input that was not in the original scope but which they offered proactively because they could see it would affect adoption. That kind of initiative was characteristic of how they approached the whole engagement.
Why did you choose this company over other providers you considered?
Their portfolio included two projects that were sufficiently close to our own brief in terms of complexity, AI & Machine Learning scope, and Manufacturing context that we felt confident they understood what we were asking. The proposal was technically rigorous, the pricing was transparent, and the proposed team structure gave us senior engineers throughout rather than just for the pitch.
How clearly did the company understand your requirements and business goals?
The requirements understanding was solid from early on, aided by the fact that they had prior experience in the Manufacturing sector and did not need us to explain domain context that a less experienced team would have required. That background knowledge shortened the discovery phase meaningfully and reduced the volume of clarification questions during sprints.
How was your overall experience with their communication and project management?
Professional and efficient. We used a shared project management tool that gave our stakeholders visibility without requiring them to attend every meeting. The project manager had a clear escalation path and used it appropriately. The only time I needed to intervene directly was when I chose to, not because something had been missed.
Did the company deliver the project on time and within your expected budget?
On time and within the agreed budget. They had given us a range estimate at the start, which I had been sceptical of, and they landed within the lower half of that range. Their estimation accuracy came from having broken the work down in genuine detail during discovery rather than giving a rough number and hoping. It showed in every sprint.
What tangible results or business impact have you seen since the project was completed?
The ROI case we presented to our board assumed a payback period of eighteen months. Based on current trajectory we will hit that in under a year. The efficiency gains in our Manufacturing operations have been more significant than the model projected, partly because the quality of the data coming out of the new system is enabling decisions we could not make before.
What did you like most about working with this company?
The continuity of the team. The engineers who scoped the work were the engineers who built it. That sounds like it should be standard practice but in my experience it often is not. The institutional knowledge that comes from that continuity pays dividends at every stage, particularly when you are dealing with a complex Manufacturing domain where context takes time to build.
Would you recommend this company to others, and would you work with them again?
Yes. The referral I would give comes with context: they are not the cheapest option and they are not the fastest to schedule. If you are optimising purely on price or looking for someone to start tomorrow, there are other choices. If you want the work done properly and a partner you can trust with a complex, high-stakes AI & Machine Learning engagement, this team is the answer.
From proof-of-concept to production AI in a timeline that impressed our board
Jisoo Kwon / CTO - HanRiver Tech Co Ltd
Verified
Nov 18, 2022
Nov 18, 2022
Project summary: Customer churn was rising and our data showed that poor self-service experience was a primary driver — we needed a wholesale rebuild of our customer portal.
We ran a structured RFP with seven vendors. Three made it to the technical evaluation stage. This team won on the strength of their technical proposal, their domain knowledge, and frankly on the quality of the questions they asked us during the process. A vendor who asks good questions in the sales phase tends to ask good questions during delivery too. That hypothesis proved correct. The project is now live, performing above the KPIs we agreed, and our stakeholders are genuinely impressed.
PROS
Consistent delivery against milestones, code quality that passed our internal review without major findings, post-launch support that felt like a partnership not a ticket queue
CONS
Time zone difference required some adjustment to our internal communication habits but the team managed the overlap window efficiently and it never affected momentum
Project TypeAI & Machine Learning
IndustryTelecommunications
Project Cost$150,000 to $499,999
DurationMar 2025 – Nov 2025
Questions & Answers
Please describe your company, your role, and the industry you operate in.
As CTO at HanRiver Tech Co Ltd, I manage a cross-functional technology team serving our Telecommunications clients from Seoul, South Korea. We are a commercially focused organisation and every technology decision we make is evaluated against a clear business case. We needed a partner who understood that context, not just the technical brief.
What specific problem or business challenge led you to hire this company?
We had a product concept validated by market research but no clear path to build it within our budget and timeline constraints. Our Telecommunications competitors were moving quickly and we could not afford to spend eighteen months finding out a generalist agency could not execute the AI & Machine Learning work our product required.
What services did the company provide for your project?
The full AI & Machine Learning lifecycle from discovery through to production deployment and hypercare support. This included requirements workshops, solution architecture, sprint-based development, QA and automated testing, deployment to our cloud environment, and a structured handover with documentation. They also provided a brief post-launch period of dedicated support which was genuinely useful.
Why did you choose this company over other providers you considered?
Honestly, the quality of the questions they asked during the briefing process set them apart. Most vendors listen to the brief and come back with a solution to exactly what you described. This team came back with a solution to what we actually needed, which turned out to be somewhat different. That kind of consultative instinct is what we were looking for.
How clearly did the company understand your requirements and business goals?
Extremely well. They asked detailed questions, challenged vague requirements until they were specific, and proposed sensible defaults for decisions we had not yet made rather than just leaving them open. By the time development started there was no ambiguity in the backlog, which is a rare starting position.
How was your overall experience with their communication and project management?
Professional and efficient. We used a shared project management tool that gave our stakeholders visibility without requiring them to attend every meeting. The project manager had a clear escalation path and used it appropriately. The only time I needed to intervene directly was when I chose to, not because something had been missed.
Did the company deliver the project on time and within your expected budget?
The project landed on the agreed delivery date and within the approved budget. We did add scope during the engagement — two features that became apparent as essential during user testing — and those were quoted, approved, and delivered without affecting the original scope timeline. That kind of clean change management is not something you can take for granted.
What tangible results or business impact have you seen since the project was completed?
The ROI case we presented to our board assumed a payback period of eighteen months. Based on current trajectory we will hit that in under a year. The efficiency gains in our Telecommunications operations have been more significant than the model projected, partly because the quality of the data coming out of the new system is enabling decisions we could not make before.
What did you like most about working with this company?
Their ability to hold the business objective in mind alongside the technical task. I have worked with technically excellent agencies who lost the thread of what we were actually trying to achieve. This team never did. Every architectural decision, every trade-off conversation, every prioritisation discussion was anchored to the outcome we had agreed at the start.
Would you recommend this company to others, and would you work with them again?
I recommend them to anyone who asks and occasionally to people who do not. The combination of AI & Machine Learning expertise, Telecommunications domain knowledge, and delivery discipline is genuinely difficult to find. We found it here and we intend to keep it.
Company Info
Founded
2014
Employees
10 - 49
Hourly Rate
$50 - $99
Client Rating
5.0/5 (2 reviews)