TurinTech AI

TurinTech AI

AI-powered platform for code optimization and validation.

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DateInvestorsAmountRound
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$20.0m

Series A
Total Funding000k

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth-208 %11 %
EBITDA000000000000
Profit000000000000
EV000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000

Source: Dealroom estimates

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More about TurinTech AI
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TurinTech is an AI company that specializes in code optimization and automation. The company was founded in 2017 by Dr. Leslie Kanthan, Mike Basios, Fan Wu, and Lingbo Li, who met as researchers at University College London (UCL). The founders were motivated by their experiences in financial institutions, where they found the manual processes of machine learning development and code optimization to be resource-intensive and time-consuming.

The company's flagship product is Artemis, an AI platform that analyzes, optimizes, and validates both legacy and AI-generated code. Artemis leverages a multi-agent AI system, genetic algorithms, and multiple large language models (LLMs) to enhance software performance, modernize legacy systems, and tackle technical debt. This helps businesses reduce operational costs, lower energy consumption, and accelerate innovation. TurinTech also offers EvoML, a platform that automates the machine learning model lifecycle, from data preprocessing and feature engineering to model optimization and deployment.

TurinTech operates on a Software as a Service (SaaS) business model, serving enterprise clients in sectors such as financial services, AI infrastructure, and legal. Its clients include investment banks in the US, UK, and France. The company generates revenue through subscription fees and custom solutions. As of March 2025, TurinTech had raised a total of $20 million in funding, including a $15 million Series A round led by Oxford Capital. The funds are intended to enhance the Artemis platform.

Keywords: code optimization, AI-powered platform, software performance, machine learning automation, technical debt reduction, legacy system modernization, GenAI, Artemis AI, EvoML, enterprise software, developer tools, sustainable computing, cloud cost reduction, agentic AI, genetic algorithms, LLM orchestration, model validation, data science lifecycle, financial technology, AI infrastructure

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