Ortom
visit site- $5,000+
- Freelancer
- Manchester, England
Ortom is a freelance AI consultancy based in Manchester, England. Since 2019, they have offered big data consulting and AI solutions to small and medium-sized agencies alike.
Client Insights
Industry Expertise
This provider has not added their industry expertise.
Client Size Distribution
Small Business (<$10M) 70%
Midmarket ($10M - $1B) 30%
Common Project Size
$10K-$49K 5 projects
<$10K 3 projects
$50K-$199K 1 project
Clients
- WeFix
Highlights from Recent Projects
Ortom provided data science consultancy for a foodtech startup focused on food safety. The company sought Ortom's expertise to help analyze and utilize their data for commercial opportunities. Ortom conducted a thorough review of the company's data, performed experiments to identify potential opportunities, and provided recommendations on how to best use the data. They identified both commercial and technical opportunities, leading to the second phase of the project where Ortom will assist in developing these opportunities. The company invested around $8,000-$9,000 in this ongoing project that began in December 2021.
In another project, Ortom provided data science analysis for a social network startup. The startup was in the process of building an app and needed an expert in data science to help build a system using complex algorithms with machine learning capabilities. After reviewing several vendors, the startup chose Ortom based on their reputation as one of the leaders in the UK. Ortom's founder, Tom, worked closely with the startup to build a system based on proprietary research to ensure the product's smooth operation for their beta launch.
For a worktech solutions company, Ortom developed an AI solution to automate a manual job application process. The project began with a discussion of the scope and challenges, and Ortom developed the machine-learning model from scratch using Python. The solution created an algorithm that identified the most appropriate workers for certain jobs based on several criteria, including side training. The company invested approximately $25,000 in this project, which ran from January 2022 to November 2022.
Timeliness
Service Excellence
Value
Would Recommend
Awards
2022
2022
2022
2022