Elemental Cognition develops AI decision-making applications using neuro-symbolic AI that communicates in natural language while solving problems with transparent, provably correct formal reasoning.

Elemental Cognition

Elemental Cognition (EC) provides a revolutionary Generative AI platform with superior natural language understanding that powers expert problem-solving intelligence and research & discovery applications. 

EC was founded in 2015 by Dr. David Ferrucci, the renowned AI researcher and inventor of IBM’s breakthrough Watson technology. EC AI transparently engages with people to understand, reason, and explain in solving complex problems.  

EC technology can be used across industries and use cases. Primary targets are Healthcare / Life Science, Investment Management, Intelligence, Logistics & Scheduling, and Contact Centers. 

Elemental Cognition is committed to developing responsible and transparent AI that helps solve problems and deliver expertise in a way that can be understood and trusted.

AI’s potential to perform as a human thought partner requires transparency – the reasons why are just as important as the answers themselves.

Differentiated, Breakthrough AI: EC’s approach combines different AI strategies in a novel architecture that acquires and reasons over human-readable knowledge to solve problems collaboratively and dynamically. The result is more transparent and cost-effective delivery of expert problem-solving intelligence into conversational and discovery applications.


Staged Ventures

AME Cloud Ventures

Breyer Capital

Bridgewater Associates

Thank you Forbes for featuring Elemental Cognition among the 10 AGI companies to know in 2024.

Great moment for the team to be recognized among some of the biggest names in the industry.

Elemental Cognition aims to break down human cognition into elemental parts and reassemble it to enhance overall cognition. By understanding and combining different statistical, logical, and linguistic inferences, we can be transparent and accountable for AI-generated decisions.

Recent breakthroughs in large language models (LLMs) are helping to accelerate that vision, but they are only one part of a more holistic AI with a reasoning engine at its core.

Our future depends on building AI that is transparent, accountable, and accurate. Constructing AI that can communicate with humans and reliably solve their hardest problems is our mission at Elemental Cognition.

Elemental Cognition and Google Cloud are accelerating customer journeys with #GenerativeAI! Together, we’re solving complex problems when businesses can’t afford to be wrong. How? By accelerating the deployment of AI applications with transparent, provably correct reasoning.

Learn more about Elemental Cognition generative AI solutions for customers in this #GoogleCloud blog: https://lnkd.in/gG4dUCf6

See you at Next '24 in Vegas!

#GoogleCloudNext #GoogleCloudPartners

In the fast-changing generative AI space, we need to solve for the future, now. Join me at Cloud Next '24 #GoogleCloudNext on April 9 at 04:45 PM - 05:30 PM PDT. I'm on a panel titled "Why AI unicorns are choosing Google Cloud" with Pankaj Dugar, Dylan Fox, and Amit Zavery.

I'll be sharing my experiences scaling Elemental Cognition on Google Cloud and talking about how neuro-symbolic AI is solving complex problems for our customers when they can't afford to be wrong.  

Register with Google Cloud to join → g.co/cloudnext

How does neuro-symbolic AI actually work?

It's quite simple. At build time, you use an LLM to ingest data or documents, or to interactively interview experts, in order to capture your business knowledge. The LLM helps to translate the business knowledge into a formal knowledge model with precise meaning and logical consistency.

Then you feed this into a formal reasoning engine to reliably solve hard problems with 100% accuracy and transparency. The answer generated by the reasoning engine is then translated back into natural language to the end-user of an application. This enables you to take advantage of the benefits of LLMs to interact with users fluently, and the benefits of formal reasoning to get 100% provably correct answers to complex problems. 

In a recent Google Cloud webinar I talked with Ali Arsanjani, PhD about how EC has built an AI architecture that interfaces with humans through LLMs but leverages a formal reasoning engine at the core.

#AI #generativeAI #neurosymbolicAI #googlecloud

Coming to Google Next '24 and hungry for reliable and accurate generative AI? You need the LLM Sandwich. Find Elemental Cognition at Next to enter our giveaway for a chance to win a $1500 UberEats gift card.

Come by our booth to get your golden ticket. Learn how to solve complex problems with 100% accurate and transparent AI by using Elemental Cognition's LLM Sandwich architecture.

What are LLMs today really good at? What will they be good for in your business?

LLMs are good at generating language and performing well in communication and content-based activities, but will your business use cases be served by just an LLM alone? Or do you need an LLM that's combined with other technologies to deliver a more holistic, reliable, and accurate solution?

In a recent Google Cloud webinar I talked with Ali Arsanjani, PhD about why an LLM alone may not be the complete solution for your business use cases.

Watch the full webinar linked in comments to learn why.

#AI #generativeAI #neurosymbolicAI #GoogleCloud #ElementalCognition

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