What Scaling AI Really Means
Build for One Environment
Start by building a model that solves a particular business use case on your existing infrastructure (on-premise or cloud).
Expand to Multiple Environments
Even for the same business use case, AI models may need to run on various environments, across different regions.
Scale to Different Devices
Models can also be deployed to various devices with different resource constraints which require a unique version of the model.
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.
The growing cost in energy and carbon emissions is untenable. In a resource constrained world, scaling AI requires energy-efficient models.
Low Computing Cost
AI is compute-intensive. Training a large model can cost millions of dollars in electricity consumption. Lower computing cost is important to scale AI.
Low Carbon Emission
Training a single model can emit as much carbon as 5 cars in their lifetimes. Reducing environmental cost of AI is critical to a sustainable future.
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.
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