Turing develops and deploys generative AI applications and custom engineering solutions for organizations managing complex data, enhancing their AI transformation and cloud migration efforts. The company also provides foundational model training services, utilizing proprietary human data to improve large language models' reasoning and coding capabilities.
Funding
$159.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+14Founders
Product
Problem
Many organizations struggle to effectively manage and leverage complex data for AI initiatives, hindering their ability to build and deploy generative AI applications and migrate to the cloud. Furthermore, companies developing large language models (LLMs) require high-quality, human-generated data to improve model reasoning and coding capabilities, which is often difficult to obtain and manage.
Solution
Turing offers generative AI application development, custom engineering solutions, and foundational model training services to help organizations overcome these challenges. For enterprises, Turing builds and deploys custom generative AI applications, facilitates AI transformation, and assists with cloud migration. For LLM companies and research organizations, Turing provides foundational model training services, leveraging proprietary human data to enhance LLM reasoning, coding, and knowledge. Turing also offers comprehensive model performance, accuracy, and scalability assessments.
Target Audience
Turing serves enterprises and startups seeking custom engineering services and AI solutions, as well as LLM companies and research organizations requiring foundational model training services.
Features
- Customizable generative AI product and solution development for enterprises
- AI/Data services to accelerate AI adoption and optimize machine learning operations
- Custom engineering solutions including application development and cloud migration
- LLM training using proprietary human data for supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and Direct Preference Optimization (DPO)
- Model evaluation services for performance, accuracy, and scalability assessment
- Multimodality integration to incorporate text, images, and videos for enhanced AI
- Advanced capabilities in coding, reasoning, data analysis, and factuality for LLMs
- Access to a network of AI engineers and data scientists