Trustwise raises USD 4Mln to tackle generative AI safety and efficiency

Trustwise Launches With $4 Million Round From Hitachi Ventures to Solve Generative AI Safety and Efficiency
Trustwise Launches With $4 Million Round From Hitachi Ventures to Solve Generative AI Safety and Efficiency

Trustwise, a pioneer in generative AI application performance and risk management, yesterday announced its official launch, the release of its Optimize:ai product, and $4 million in seed financing. Led by Hitachi Ventures with participation from Firestreak Ventures and Grit Ventures, this investment will enable the company to speed up the development of cost and risk optimized generative AI prototypes for various industries, accelerate its go-to-market and partnership strategy, and further its research initiatives.

Trustwise Optimize:ai is a first-of-its-kind generative AI application performance and risk management solution that provides developers with an API to eliminate risks and reduce the growing costs associated with deploying large language models (LLMs) in high-stakes enterprise environments. By rigorously red teaming and optimizing generative AI workloads using its advanced APIs, datasets, and AI safety and alignment controls, Trustwise safeguards enterprises from potential AI failures and excessive costs. Optimize:ai aligns with major AI standards and regulations, including the European Union AI Act, NIST AI RMF 1.0, Responsible AI Institute RAISE Safety and Alignment Benchmarks, and SCI ISO software carbon intensity standard.

“Enterprise leaders face a double-edged sword in AI strategy: while promising next-level innovation and productivity gains, LLMs also bring significant safety risks, cost burdens, and environmental impacts,” said Gayathri Radhakrishnan, partner at Hitachi Ventures. “Trustwise’s experienced and world-class team is set to provide the much-needed generative AI optimization capabilities that will enable developers to create safe, efficient, and high-performing AI systems.”

Trustwise and Hitachi Ventures

AI’s Risk Trifecta: Skyrocketing Expenses, Carbon Emissions and LLM Vulnerabilities

Generative AI systems too often produce inaccurate results, do not adhere to internal and external policies and regulations, and are costly and energy inefficient, with many instances of companies facing legal repercussions.

  • Risk and safety:
    Hallucinations and sensitive data leakage significantly erode user trust in AI systems, which is crucial for widespread adoption. According to GitHub’s Hallucinations Leaderboard, popular LLMs like GPT-4, Llama, Gemini, and Claude hallucinate between 3% and 8.5% of the time when summarizing text.
  • Skyrocketing demand and expenses:
    Businesses are recognizing the potential of this technology, but they’re also cautious about the costs. AI cost worries have surged 14x in the past year according to a study by Lucidworks.
  • Environmental repercussions:
    A University of Massachusetts Amherst study found that training a common large AI model can emit more than 626,000 pounds (284 metric tons) of carbon dioxide equivalent, which is nearly five times the lifetime emissions of the average American car, including its manufacturing.

“At Trustwise, we understand the challenges enterprises face with generative AI, including safety risks, high costs, and environmental impacts,” said Manoj Saxena, CEO and founder of Trustwise. “For example, compared to a traditional Google search, a ChatGPT query costs around 36 times more, uses 1000 times more energy, and has safety issues like hallucinations and data leakage. After nearly two years of co-development with clients in highly regulated industries, the launch of Optimize:ai makes AI safe, compliant, and economically and environmentally viable.”


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