What Scaling AI Really Means
Even for the same business use case, AI models need to run on various clouds and devices across the world.
Each device has different resource constraints, which requires an unique version of the AI model.This means building hundreds of thousands of models for one use case.
Develop AI models for a specific type of device
Deploy models across the globe for the same device
Repeat previous steps for different type of devices
Build AI At Speed
Scaling AI requires building and deploying hundreds of thousands models in a year. This scale won’t be possible without automation
Run AI At Speed
Even one millisecond can be monumental. Efficient AI that runs fast can not only boost profits, but also reduces costs and risks
Adapt AI At Speed
The world of Enterprise AI is evolving fast. Only agile companies that can adapt to the pace of the revolution can stay advanced
Strategic AI Scalers leverage multi-disciplinary teams
Scaling AI means the pervasive use of AI by different teams, departments and for different use cases.
Most business problems are wide-spread and multi-faceted. Allowing AI to scale across your organisation requires a collaborative AI platform.
Scaling AI Requires Energy-efficient Models
Unleash Full Business Potential from Scalable AI
By automating the entire lifecycle of creating, optimising and deploying AI, TurinTech helps businesses to scale AI efficiently with multiple objectives, unlocking the full potential of AI.
Transform your raw data into ML-ready data and gain valuable hidden business insights instantly, through advanced data transformation and visualisation
Smart & Efficient Models
Generate highly accurate and efficient models that can operate at high speed, low latency and consume less resources. Trust your models with understandable explanations.
Scalable AI Services
Deploy, monitor and interact with your models on one platform. Integrate models into your existing systems seamlessly, with APIs, and optimise them on demand.
Enable Tech and Business Users to Collaborate
Build complex models faster with more flexibility and transparency
• Boost productivity by automating the steps you need and by
simultaneously training models
• Augment your capability with expanding open source libraries
• Enable further customisation by generating optimised code and the whole data science pipeline
Supercharge business insights through an end-to-end, code-free AI process
• Build expert-level predictive analytics straight away, without
coding or machine learning skills
• Deliver business insights that you can easily understand and communicate
• Optimise key business metrics that are related to AI applications
Build production-ready AI and scale across applications with high efficiency
• Embed advanced AI into software applications rapidly and easily
• Create AI-powered high quality software at low cost
• Optimise the performance (e.g. execution time, energy consumption) of the generated code, automatically
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News & Views
Latest thoughts + musings from the team.
Explainability is critical to adopting and scaling AI. However, building and implementing Explainable AI is challenging with many trade-offs.Read the article
Multi Objective Optimisation
AI is about solving multi-objective optimisation problems. Accurate AI is not enough for delivering real-world business value.Read the article