Customers

Data processing is an integral part of our society with the ability to transform all industries. Therefore, it shouldn’t be considered as a vertical service pertaining to a specific sector, rather a horizontal service that drives innovation across all industry sectors. In defining the customer persona, we propose a taxonomy based on two criteria: (1) the customer understands the need for data processing and (2) the customer understands the technology for data processing.

Let’s explore the different categories of prospective customers and propose go-to-market (GTM) strategies.

Customers that understand the need and understand the technology

This category of customers is composed of data science and machine learning companies that have a clear understanding of data processing, AI and ML. They understand the need for the platform as both consumers of data processing services, and as producers of AI Agents to be integrated into the platform for driving revenue.

Examples of customers include:

1. A machine learning company is developing machine learning models for extracting handwritten information from scanned documents. They can use Timeworx.io for fine-tuning their AI models, but also for deploying their models as AI agents in the platform.

2. An e-entertainment company wants to develop a state-of-the-art mobile app for real-time augmented reality experiences at live sporting events. They are able to use Timeworx.io for both collecting data from Human Agents, and for processing data which is further used in developing machine learning models.

This category makes up most of our initial obtainable market with all efforts focusing on becoming a cornerstone platform in the core of the horizontal industry services. Our GTM strategy includes flagship partnerships with machine learning companies, inbound B2B marketing campaigns targeting the clear need and our unique value proposition, and networking at technical conferences.

Customers that understand the need, but don’t understand the technology

This category groups together companies that are embracing digital transformation and require assistance in integrating with data processing technologies for driving innovations into their products and services.

Timeworx.io is not designed to become specialised in a specific industry sector, therefore the path towards obtaining these markets takes us through identifying patterns of needs in horizontal services that affect most, if not all, industry verticals.

Examples of customers and/or horizontal services include:

1. Information retrieval: A pharmaceutical company requires the ability to automatically validate and digitise handwritten reports from chemical engineers that are filled in on a monthly basis. They can use Timeworx.io for automatically extracting information out of physical documents.

2. Sentiment analysis: A beauty product company can understand how customers perceive their products or brands and build strategies that adapt to brand perception and customer feedback. They can use Timeworx.io for extracting and analysing the prevailing sentiments in social media comments.

The GTM strategy for this category relies on outbound B2B marketing and matchmaking sessions between customers from the first two categories, based on smart recommendations. This strategy can further strengthen the relationship with customers from the first category through lead generation and/or referral campaigns with viral effects.

Customers that don’t understand the need and don’t understand the technology

This is the largest segment of prospective customers, but, at the same time, these companies represent the hardest markets to penetrate. Since they are not yet aware of the benefits of data processing, reaching this audience will require considerable time and resources.

Companies from this category represent the specialised end of the service industry verticals. In order to reach this audience, Timeworx.io requires integration with key players in the digital services industry across industries, which are already providing products custom tailored for these market segments.

For instance, Timeworx.io is not able to reach farmers for providing an automated solution for detecting crop disease based on image analysis. Instead of wasting resources in outreach programs, the platform establishes partnerships with Farm Management Information Systems (FMISs) for integrating the data processing services, and leading to indirect sales. The same applies with all other industries.

The GTM strategy in this category relies on establishing partnerships with key players from robotic process automation, data intermediation and service integration. Furthermore, our communication strategy focuses on indirect lead generation, outbound educational and awareness campaigns.