data & AI value for early-stage startups
It is never too early to think about amazing things to do with your data.
From the time of their inception, startups should be thinking about how to create value out of the data they will generate from their customers.
New data business models need to be identified and built into the VC pitch. In addition, your investors will want to see a credible roadmap to build the capability to handle the data, both from an infrastructure perspective and from a data science perspective.
Data Strategy & Business Models
Right from the start, your business plan should include a data value stream. We are happy to help you with structuring this data pillar with expected costs, timelines and benefits, as well as build a plausible roadmap to get there.
We can help you identify ways to create tangible value with your data, either through AI use cases designed to improve your core business activities, by leveraging your data ecosystem, or simply via direct data monetization.
We can help you build a solid, pragmatic plan to implement your data strategy. A plan that rapidly auto-finances itself by generating quick wins.
We can help you build a Data P/L including expected costs and benefits, that will support and expand your overall Business Plan.
Data Architecture & Infrastructure
When entrepreneurs start a new company, they have a unique opportunity to get their data right from the beginning. Unburdened by legacy IT, disparate applications and incompatible data models, they can start afresh, straight into the cloud, building a scalable and sustainable architecture at a relatively low cost.
We can help startups define key data architecture designs:
As a startup entrepreneur, you have a fantastic opportunity to build the architecture that will support your future data value stream.
Right from the start, agility and scalability give you an unfair advantage against your incumbent competitors, who are struggling to scale with their outdated legacy data architecture.
It’s great that you have plenty of ideas to create value for your clients with data from your core operations.
But are you generating your data with the right quality? Is the data you are storing today fit for your future purposes?
Get in touch, and we will be happy to help you with your data quality and process fundamentals.
Adopting the right data taxonomy right from the start will help you talk the data language of your customers when the time for monetization will come.
AI Proof of Concept (PoCs)
With limited time and resources, it doesn’t make sense for startups to try and do everything by themselves. Vendors of Data & AI Software-, Platform-, and Infrastructure-as-a-Service can be brought in to quickly deploy advanced AI capabilities.
Data & AI services and products can be complex, however, and costs can rapidly spiral out of control. We can help you navigate this:
Together with tech partners and providers, we have built a Machine Learning (ML) Sandbox that enables founders and their teams to test their AI ideas. Within hours and without writing a single line of code.
While the automated ML development technology of our ML Sandbox allows teams with no technical knowledge to train algorithms in hours, AI/ML experience is still necessary to interpret results.
Our senior AI/ML experts are there to support founders translating PoC results into optimal business decisions.
