CHILDISH.AI
visit site- $10,000+
- 50 - 249 employees
- Sofia, Bulgaria
CHILDISH.AI is an AI consulting firm founded in 2018. With offices in Sofia and London, they bring together a team of experts with technical and scientific backgrounds and deep industry expertise in healthcare, banking, insurance, and fintech. Their goal is to help organizations utilize AI to accelerate their growth and provide them with a competitive advantage.
Client Insights
Industry Expertise
50%
40%
10%
Client Size Distribution
Small Business (<$10M) 40%
Midmarket ($10M - $1B) 50%
Enterprise (>$1B) 10%
Common Project Size
$10K-$49K 6 projects
$50K-$199K 4 projects
<$10K 1 project
Clients
This provider has not added their key clients.
Highlights from Recent Projects
Childish.AI partnered with an energy management optimization company based in Bulgaria for the development of their Minimum Viable Product (MVP). The company's CEO praised Childish.AI for their clear understanding of the project requirements and efficient project management, which included timely deliveries and follow-ups on fixes. The project involved the development of a Python-based MVP for energy management and involved direct collaboration with Childish.AI's Managing Partner and two backend developers.
Working with Sofia Platform Foundation, Childish.AI developed an interactive website and AI for an important historical project. The deputy executive director of the non-governmental organization reported that Childish.AI was chosen because of their company culture, values, work ethics, and cost-effectiveness. The scope of the project entailed creating an AI that enabled virtual conversations with survivors of the Belene concentration camp and a website to host these interactions.
Childish.AI was hired by KARDI AI Technologies to develop an AI solution for ECG long-term home monitoring. The company's CTO expressed satisfaction with Childish.AI's performance, citing a good cultural fit and alignment of company values as reasons for their selection. The project involved the processing of ECG signals and the detection of artifacts in the signal using AI. The deliverables included noise, AF, APB, and VPB detection.