Beehive AI provides a secure, private, generative AI-driven platform designed to analyze unique customer data. The platform aims to save time on manual work, provide accurate insights, and help businesses discover more about their existing data.

Beehive AI

Beehive AI is using the power of generative AI to help companies transform their business through a deeper understanding of its customers. With Beehive AI, businesses can analyze customer data at scale, discover timely insights they can trust, and focus on more impactful activities by automating manual processes.

Beehive AI has built an adaptive LLM with enterprise-grade security that continuously evolves to stay current with the latest technology advancements. On this foundation, Beehive AI provides a bespoke, private LLM platform, fine-tuned with your proprietary customer data. This custom LLM is fact-checked by humans and grounded in traceable truths born from your data.

Leading companies are transforming how they analyze customer data, discover strategic insights, and make data-driven business decisions—and they trust Beehive AI to lead this transformation. Contact us to discover how Beehive AI can empower your company.

Valley Capital Partners

Stormbreaker Ventures

Z Ventures Group

at.inc/

"Beyond the hype, generative AI can bring tangible benefits to companies’ innovation and development processes." MIT Sloan Management Review

And other great ways that generative AI tools can help product managers and product development.

Tucker Marion
Mahdi Srour
Frank Piller

https://lnkd.in/eib3UMYQ

Surprise, surprise - data analysis and artificial intelligence are in top 5 of most added digital skill added to LinkedIn profiles globally. 

Source: LinkedIn Benchmark Report for 2024

We know that marketers and market researchers are using gen AI. We also know that product managers are using it, too. Here's one area where they are using gen AI.

Source: McKinsey & Company

Increasing number of product managers are using generative AI and are seeing a benefit.

Source: McKinsey & Company

McKinsey & Company's chart on the ways the Generative AI will disrupt the software marketing. 

Source: McKinsey & Company and IDC

ICYMI! Beehive AI can analyze your focus groups and interview transcripts. 

Our customers had asked for this functionality and those same ones are using it! Take a look for yourself - simply reach out to us and we'll give you an overview!

https://lnkd.in/g3sgiUuV

NVIDIA published a report on AI for Retail and CPG. Here's a graph from it that shows how retail and CPG are benefiting from AI.

The top two ways are common. The middle three, improved decision making, created a competitive edge, open new business opportunities, are maybe less obvious. 

More and more, our customers tell us the middle three reasons as ways they are benefiting from AI; specifically GenAI.

Source: State of AI in Retail and CPG: 2024 Trends Survey Report from Nvidia

McKinsey & Company's state of AI report shows the share of digital budgets that companies across industries plan to spend on AI.

Take a look at the percent spending 20% or more. And the total percentage spending at least 5% of their digital budgets in AI.

Source: The State of AI in early 2024: Gen AI Adoption Spikes and Starts to Generate Value, May 30, 2024

Power users of AI at work are reaping the benefits. Are you someone waiting for the leadership team to come up with an AI strategy or are you helping inform that strategy through your own exploration and discovery?

Source: 2024 Work Trend Index Annual Report from Microsoft and LinkedIn

Not all LLMs are equal. When you evaluate which LLMs to use, consider the following differences between domain specific LLMs and broad LLMs.

1. Training Data: Domain specific LLMs are trained on specialized datasets relevant to a particular field.

2. Performance: Domain specific LLMs excel in tasks within their specific domain due to their specialized training.

3. Customization: Domain specific LLMs are highly customized and are fine-tuned to adhere to industry regulations and standards.

4. Accuracy: Domain specific LLMs tend to be more accurate in their specific domain due to focused training data and fine-tuning.

5. Development Complexity: Domain specific LLMs require access to high-quality, domain-specific data and expertise in the target domain for effective training.

At Beehive AI, the LLM is trained on your data and, therefore, it is performs better, is more customized, is more accurate, and the underlying LLM is more developmentally complex.

BloombergGPT is a domain specific LLM for the financial industry.

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