The following blog post was originally published by Hitachi Ventures on Medium, highlighting their investment in Trustwise.
In the rapidly evolving landscape of artificial intelligence (AI), ensuring the performance, safety, and ethical deployment of AI systems is paramount. We are excited to announce our participation as the lead investor in the seed financing of Trustwise, a pioneer in generative AI application performance and risk management, along with Allstate Strategic Ventures, Firestreak Ventures and Grit Ventures.
Founded by Manoj Saxena (former GM of IBM Watson and 3x entrepreneur), Trustwise’s innovative approach to AI safety, cost efficiency, and environmental sustainability aligns perfectly with Hitachi Ventures’ focus on supporting responsible AI innovation. We are confident that Trustwise has the ability to unlock the full potential of generative AI for enterprises across various sectors by being the foundation of trust. Optimize:ai by Trustwise is a pioneering solution for managing performance, risk and environmental impact of AI. It offers developers an API to mitigate risks and cut costs linked to deploying Large Language Models (LLMs) in critical enterprise settings.
Trustwise is Addressing Critical AI Challenges
1) Cost Efficiency
The operational costs associated with AI, particularly LLMs, can be prohibitive for a lot of enterprises. Trustwise Optimize:ai addresses this by routing the right prompt to the right LLM and reducing LLM operational costs by up to 80%. This significant cost reduction is achieved through advanced optimization techniques and dynamic model selection, making AI deployments more economically viable for enterprises.
2) Safety and Compliance
One of the most significant hurdles in deploying AI, particularly large language models (LLMs), is ensuring safety and compliance. Trustwise Optimize:ai excels in this area by providing robust AI safety and alignment controls. The platform actively mitigates risks such as hallucinations and data leakage, which are common issues with generative AI models. Optimize:ai not only adheres to internal corporate AI policies but also complies with major AI standards and regulations including EU AI Act, NIST AI RMF 1.0, RAISE Safety and Alignment Benchmarks by the Responsible AI Institute, and the SCI ISO software carbon intensity standard.
3) Environmental Sustainability
AI’s environmental impact is a growing concern. Training and large volumes of inference of models can result in substantial carbon emissions. Trustwise Optimize:ai leverages impact data from cloud providers and model providers to understand the impact of each model response and suggests the best alternative to reduce the carbon footprint of AI deployments by up to 64%.
What is Trustwise Optimize:ai and how does it work?
Trustwise employs rigorous red-teaming and optimization of generative AI workloads through advanced APIs, datasets, and AI safety controls. This approach protects enterprises from potential AI failures and excessive expenses while having a strong understanding of the carbon footprint of their AI deployments.
Powered by THEO (Trustworthy High-Efficiency Optimizer), an optimization algorithm that continuously monitors AI safety and alignment, performs red-teaming and dynamically selects models for large-scale generative AI operations, supporting diverse AI models and architectures and ensuring that AI systems are both high-performing and safe all through a single API that integrates seamlessly with any AI model and cloud environment. This flexibility eliminates the risk of vendor lock-in and ensures that enterprises can leverage the best AI technologies without high switching costs and compatibility issues. This universal adapter approach is crucial for enterprises adopting AI across diverse platforms, environments and use cases.
Increasing value creation for enterprises
Trustwise has already demonstrated a significant impact across various industries specially across financial and healthcare institutions.
For example:
- Lloyds Banking Group reported that Trustwise Optimize:ai significantly reduced their generative AI operational costs and carbon footprint while ensuring compliance with internal policies and external regulations.
- NHS highlighted the platform’s ability to enhance patient care through reliable and accurate AI solutions, reinforcing the importance of trust and safety in healthcare AI applications.
- Lyric Health emphasized the role of Trustwise in driving AI adoption in healthcare, ensuring cost control and compliance risk minimization.
Trustwise is not just a technological solution; but can be a strong strategic partner in our journey towards safe, efficient, and sustainable AI adoption.
We look forward to the continued success and impact of Trustwise.