London-based joint venture building AI-driven solutions for the telecommunications industry, initially focusing on a trust platform with products to block scam/spam calls in real time and an AI-powered voice Welcome Manager.
Investment Rounds
Capital activity and funding progression
| Amount | Date | Round |
|---|---|---|
| not disclosed | Oct, 2025 | unspecified |
Frequently Asked Questions
Where is Syntelligence AI located?
Syntelligence AI is located in London, United Kingdom.
What industries does Syntelligence AI operate in?
Syntelligence AI operates in the following industries: telecommunications, artificial intelligence, cybersecurity, voice AI.
Who are the investors in Syntelligence AI?
The investors in Syntelligence AI are: Deutsche Telekom AG, SoftBank Corp, E&, Singtel Group, SK Telecom.
Who are the founders of Syntelligence AI?
The founders of Syntelligence AI are: Prateek Choudhary, Suk-Geun Chung.
What core products does Syntelligence AI offer?
Syntelligence AI offers a range of products focused on enterprise AI readiness, including data synthesis tools, model optimization frameworks, and deployment services that help businesses integrate intelligent automation.
How does Syntelligence AI support enterprise-grade security?
The platform is built with enterprise security in mind, offering features such as private cloud deployments, end-to-end encryption, and strict data governance policies to protect sensitive organizational information.
In what industries is Syntelligence AI most effective?
While versatile, Syntelligence AI is particularly effective in sectors like finance, healthcare, and logistics, where data complexity and the need for precision automation are high.
How does Syntelligence AI improve model performance?
The platform utilizes advanced techniques in synthetic data generation and fine-tuning to enhance the accuracy and reliability of models, ensuring they perform optimally on specialized tasks.
What role does Syntelligence AI play in the development lifecycle of an AI project?
Syntelligence AI assists across the entire development lifecycle, from initial data preparation and model selection to continuous monitoring and scaling of the AI system in a production environment.