Custom Software Development for IT Company
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AI Development Custom Software Development Mobile App Development
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Chatbots & Conversational AI Machine Learning Computer Vision Consumer Mobile App Development
- Confidential
- Feb. 2025 - Ongoing
- Quality
- 5.0
- Schedule
- 5.0
- Cost
- 5.0
- Willing to Refer
- 5.0
"They consistently take ownership of what we agree on and deliver on those commitments."
- Information technology
- London, England
- 11-50 Employees
- Online Review
- Verified
Codino has developed an AI-driven data platform for an IT company. They've built the entire technology infrastructure, including the backend and frontend of B2B and B2C applications.
Codino has delivered a functional platform, and the client has seen consistent improvements in data extraction, categorization, and AI performance. The team manages the project well, delivering most elements on time and communicating delays. Their commitment and management involvement stand out.
BACKGROUND
Introduce your business and what you do there.
I’m Mohsin Rashid, Founder and CEO of Identifyi Limited, a UK-based technology and AI company building the Genie ecosystem — a new infrastructure designed to reshape the relationship between consumers, their shopping data, and the businesses they choose to engage with. At the centre of the ecosystem is Genie Vault, our consumer-facing personal data platform.
Genie Vault enables individuals to build and control their own verified shopping data asset by bringing together purchase information across retailers, categories, and both online and in-store transactions.
Using Genie AI, consumers can turn this fragmented purchase history into a useful shopping memory, helping them understand their spending and purchasing behaviour, access relevant insights, and receive offers based on what they actually buy — while remaining in control of how and when their data is shared. On the business side, we are building Genie Vision, an AI-powered consumer intelligence and campaign orchestration platform for retailers and brands.
Genie Vision enables businesses, with consumer permission, to access live, verified purchasing insights beyond the limits of their own CRM and loyalty data. This can provide a much broader understanding of customer behaviour across retailers, competitors, brands, categories and individual products. The platform is designed to turn these insights into action.
Retailers can use Genie Vision and its AI capabilities to identify opportunities, build highly targeted and hyper-personalised campaigns, deliver relevant offers through the Genie ecosystem, and measure campaign outcomes through closed-loop attribution.
Together, Genie Vault and Genie Vision create a connected ecosystem built around consumer data ownership and permission. Our objective at Identifyi is to create a model where individuals gain greater control and value from the data they generate, while businesses gain access to higher-quality, permissioned customer intelligence that can support more relevant engagement and measurable marketing outcomes.
OPPORTUNITY / CHALLENGE
What challenge were you trying to address with Codino?
We needed help with the development of our technology platform.
SOLUTION
What was the scope of their involvement?
Codino is responsible for the end-to-end development of our technology platform, covering both backend infrastructure and frontend applications across the B2C and B2B ecosystems.For Genie Vault, the B2C platform, the scope includes the development of mobile applications, CRM functionality, SDKs, and the supporting backend infrastructure.
The platform incorporates receipt scanning and data extraction engines, as well as AI-powered agents designed to help users collect, structure, and manage their personal purchasing data and derive relevant benefits and insights from it.
Codino is also responsible for developing Genie Vision, the B2B component of the ecosystem. This includes both backend and frontend development, together with a dedicated AI agent designed to process and serve data to business clients and support the creation of hyper-personalized offers for Genie Vault users.
What is the team composition?
We work with 16 teammates from Codino.
How did you come to work with Codino?
I’ve known them for a long time, working with them on several projects. We chose them because their pricing fit our budget, they had a great culture fit, and their company values aligned with ours.
What is the status of this engagement?
We use in-person meetings, virtual meetings, and emails or messaging apps to communicate with Codino.
RESULTS & FEEDBACK
What evidence can you share that demonstrates the impact of the engagement?
The key measurable outcome of the project is the successful delivery of a fully functional end-to-end Genie Vault platform. Codino has delivered the complete mobile application together with the supporting backend infrastructure, as well as a fully operational receipt scanning engine with OCR capabilities.
The project has also resulted in the delivery of the first functional version of Genie Vision, including both its frontend and backend components.
Overall, the engagement has moved Genie Vault from the development stage to having a complete, working technology ecosystem covering the consumer application, receipt scanning and data extraction, backend infrastructure, and the first version of the B2B platform.
Our initial KPIs are primarily focused on data quality, platform performance, and the effectiveness of the AI-driven functionality. We track the accuracy and completeness of data extracted from receipts, including the quality of OCR-based receipt reading and retailer unification. We also evaluate the first version of transaction and product categorization to ensure that the collected data can be structured and used effectively across the platform.
Another important area is the performance of the AI agent. We assess its ability to understand and work with users’ purchasing data, provide accurate and relevant responses, generate personalized suggestions, and interact with users in the context of available offers.
On the B2B side, we focus on the platform’s ability to create and deliver the first targeted offers and campaigns, enable the AI agent to discuss those offers with users, and track and report campaign performance. These metrics allow us to assess the quality of the underlying data pipeline as well as whether the platform can successfully turn that data into useful user interactions and commercially relevant campaigns.
We’ve seen consistent improvements across all of these areas as the platform develops. New components and capabilities are released month by month, allowing us to progressively test, validate, and refine each part of the system.
This iterative process has resulted in continuous improvements in receipt data extraction and completeness, retailer unification, data categorization, and the performance of the AI agent. As more functionality becomes available, we’re also able to validate the agent’s ability to work with user data, provide increasingly relevant responses and recommendations, and support personalized offers.
On the B2B side, the progressive rollout of Genie Vision has allowed us to move from initial data processing and campaign creation to delivering offers to users, enabling AI-driven interactions around those offers, and tracking campaign performance. Overall, each successive release has expanded the platform’s capabilities and allowed us to improve the quality and effectiveness of the functionality through real-world testing and iteration.
How did Codino perform from a project management standpoint?
We typically work in two-week sprints, with clearly defined priorities and deliverables for each development cycle. In the majority of cases, the planned elements are delivered on time.
Where delays occur, they’re generally related to technical challenges or the complexity of particular components, which is understandable given the scale and technical complexity of the platform. Codino communicates these delays appropriately, with the reasons and implications clearly explained, and the affected elements are subsequently delivered.
Overall, the project has been managed in a structured and transparent way, with regular sprint-based delivery and good communication around timelines and any technical challenges that arise.
What did you find most impressive about them?
What stands out most is the level of involvement and commitment from Codino’s management team throughout the project. They remain closely engaged, pay strong attention to detail, and at the same time maintain a broader view of the platform and its long-term objectives.
Another important aspect is their ability to think and plan for scale rather than focusing only on immediate development requirements. Most importantly, they consistently take ownership of what we agree on and deliver on those commitments. For a project as complex and ambitious as Genie Vault, this combination of management involvement, attention to detail, long-term thinking, and reliable delivery has been particularly valuable.
Are there any areas they could improve?
There’s nothing Codino could have done better or differently.
RATINGS
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Quality
5.0Service & Deliverables
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Schedule
5.0On time / deadlines
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Cost
5.0Value / within estimates
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Willing to Refer
5.0NPS