Florida, July 08, 2025 (GLOBE NEWSWIRE) — Slate, a leading innovation discovery platform developed by GreyB, has announced the launch of “Prism”, a new structured research module to solve complex, constraint-based R&D challenges. Slate Prism breaks down your query, scans thousands of patents and papers, and delivers evidence-backed insights on what works, what doesn’t, and why. It goes beyond simple search results to deliver in-depth analysis of solutions.

In today’s research landscape overwhelmed by information overload, Slate Prism empowers users to cut through the noise and quickly grasp the core of any subject. It is designed to support researchers working on technical problems that involve multiple interdependent constraints, such as improving product performance without compromising regulatory compliance or reducing costs while preserving core functionality.

“In research and development, the most critical questions are often not binary. They involve trade-offs across efficacy, safety, stability, or compatibility,” said Anmol Saini, Head of the Product at GreyB. “Slate Prism is created to support deep, multi-constraint reasoning that researchers perform. It’s like having a team of expert researchers at your fingertips, capable of synthesizing complex topics into clear, actionable insights, saving users invaluable time and effort.”

Traditional methods force researchers to break down complex questions into isolated sub-queries, run multiple individual searches, and manually compare findings to find overlaps over extended periods. Even existing AI tools struggle with handling full, multi-layered questions, pushing researchers to simplify their approach. Slate Prism reduces the need for manual cross-referencing by allowing users to explore layered, constraint-heavy queries in one go.

Key capabilities of Slate Prism include:

Targeted Search: It breaks down complex technical research questions into structured components based on constraints.Evidence Gathering: Retrieves and integrates insights from a multitude of sources, including patents, research papers, and technical documents.Contextual Analysis: Slate Prism analyzes the relationships between different constraints of the query, providing solutions from both supporting and contrasting studies, which helps in identifying trade-offs, edge cases, and knowledge gaps.Comprehensive Synthesis: It provides evidence-backed solutions, explaining their context and providing researchers a clearer understanding to support decision-making.Source Citation: All generated insights are meticulously linked back to their original studies for further exploration, ensuring transparency and reliability.Dynamic Exploration: Enables researchers to delve deeper into specific solutions and explore related technical literature in more detail with ease. In initial exclusive testing with the first few clients across industries such as cosmetics, F&B, packaging, pharmaceuticals, automotive, and healthcare, Slate Prism demonstrated significant time-saving and accuracy improvements. Early users reported a 30% reduction in the time required to make key decisions, while 45% of respondents noted an increase in decision-making accuracy when utilizing the platform.

As the demand for innovative, AI-powered solutions in R&D grows, Slate leads the way in tackling the emerging challenges faced by researchers. By focusing on multi-constraint reasoning, Slate Prism is aligning with the increasing reliance on AI to solve the toughest challenges in R&D.

With the addition of Prism, Slate continues its focus on supporting research workflows that require not only access to information but also tools that assist in interpretation and decision-making.

Slate is offering an exclusive 14-day free trial of Prism. To start your trial, visit https://slate.greyb.com/trial/

About Slate

Slate is an innovation discovery platform designed for R&D and innovation teams. It enables faster technology discovery, competitive intelligence, and decision support with advanced AI capabilities for complex problem-solving and in-depth analysis. From R&D labs to boardrooms, Slate empowers teams to find what’s out there and validate it quickly.

CONTACT: Name: Deepak Kumar

Email: [email protected]

Job Title: Marketing and Communications, GreyB

Betting big on the next hot thing can sometimes burn investors. That can be true even when the next hot thing is as exciting and promising as artificial intelligence (AI).

Concerns about being burned might cause some investors to be leery of buying AI stocks. However, this fear could result in them missing out on huge long-term returns. Are there alternatives for investing in AI that aren’t super risky? Absolutely. Here are two AI stocks that even risk-averse investors can buy without hesitation.

Two AI titans

If bigger is better, you won’t find many better AI stocks than Amazon (AMZN -0.07%) and Microsoft (MSFT -0.24%). Amazon ranks as the fourth-largest publicly traded company based on market cap, while Microsoft holds the No. 2 spot. And their AI credentials are impeccable.

Amazon Web Services (AWS) is the global leader in cloud services, with a market share of 29%. Microsoft Azure is in second place with a market share of 22%. Both cloud platforms continue to enjoy strong growth, thanks in large part to organizations rushing to build and deploy AI models in the cloud.

Amazon and Microsoft boast partnerships with other top AI companies as well. Both companies have teamed up with Nvidia. Microsoft’s investments in ChatGPT creator OpenAI are paying off handsomely, and Amazon has invested $8 billion in Anthropic, the developer of the powerful Claude large language model (LLM).

These two AI titans are also benefiting from AI in their internal operations. Amazon is using AI to recommend products to customers on its e-commerce platform, for example, while Microsoft has rolled out OpenAI’s GPT-4 throughout its product lineup.

Why risk-averse investors should like Amazon and Microsoft

Risk-averse investors know what they’re getting with Amazon and Microsoft. Both companies are AI leaders, but they’re also much more.

Amazon and Microsoft offer tremendous financial stability. Amazon generated revenue of nearly $638 billion last year, with profits totaling over $59 billion. Microsoft’s revenue topped $245 billion, with earnings of more than $88 billion.

Each of the companies has a boatload of cash — $94.6 billion for Amazon and $79.6 billion for Microsoft.

We’ve already seen that Amazon and Microsoft dominate the cloud services market. These two companies are also leaders in other areas. Amazon reigns as the 800-pound gorilla of e-commerce with a market share of 37.6%. Microsoft’s Windows commands a 70% market share among desktop operating systems. The company’s Office 365 suite ranks No. 2 in the productivity software market.

Both companies continue to deliver solid growth. Amazon’s revenue increased 9% year over year in its latest quarter, with earnings soaring 64%. Microsoft’s revenue jumped 13% year over year, with profits up 18%.

More importantly, both Amazon and Microsoft have strong growth prospects. Each company is poised to benefit from the ongoing AI tailwind and the shift from on-premises IT to the cloud. Amazon’s e-commerce platform and Microsoft’s software products also have solid growth potential.

Not risk-free

I don’t want to leave the impression that Amazon and Microsoft don’t have any risks, though. There’s no such thing as a risk-free stock.

Both Amazon and Microsoft face significant competition despite their current market dominance, and growth could be derailed by regulators in the U.S. and in Europe. Both stocks also trade at high valuations: Amazon’s forward price-to-earnings ratio is 34.6, while Microsoft’s forward earnings multiple is 33.2. These valuations make them more exposed if they experience a significant business disruption.

However, longtime investors know that the best stocks often command premium valuations. Amazon and Microsoft are two of the best stocks, with lifetime gains of around 227,800% and 123,200%, respectively.

Although Amazon and Microsoft face some risks, I think the pros of both stocks far outweigh the cons. If you’re a risk-averse investor who wants to profit from the AI boom, I can’t think of two better picks.