Generative AI is changing the future of business

ClearObject has been selected as a Google Enterprise GenAI Partner to help businesses navigate this rapidly evolving technology

Are you ready for the impact of GenAI?

Abstract image of executive evolving towards AI

65% of executives believe generative AI will have a high or extremely high impact on their organization. Despite this, many of the same executives say they are not ready to pursue GenAI because they lack a clear business case. ClearObject has been chosen by Google to help businesses discover, test, and capture the value of Enterprise GenAI solutions.

Technology Assessment Guide

Accelerating Software Development with Generative AI

Discover how Generative AI boosts developer productivity and why innovative global companies are experimenting and investing in these technologies. This IDC technology assessment guide commissioned by Google contains expert guidance for IT leaders who are curious about GenAI’s potential impact on their teams and organizations. 

Image of an IDC Technology Assessment Guide

ClearObject Helps Bring GenAI to Your Business

STEP 1: GenAI Discovery Workshop,

Taking Customers from Ideas to Value

The ClearObject GenAI Discovery Workshop is a collaborative 1-2 day session designed to help teams identify how Generative AI can be used for their specific use cases to drive efficiency, speed, and profits.

Abstract image of an Artificial Intelligence brainstorming ideas
Abstract image of software being designed

STEP 2: Build an AI Proof of Concept

After an ideation workshop where we collaboratively identify a high ROI use case, ClearObject can work with you to validate the feasibility of your selected solution via Google’s AI Ecosystem including Vertex AI. Post-pilot you will have a tangible understanding of how Generative AI can be used within your business.

STEP 3: Scaled Launch and Beyond

Once a successful Proof of Concept is completed, Experts can help design and build a MVP solution, release it to production, and continue to monitor the solution and support the release with incremental improvements.

Our cradle to grave offering can include ideation support, prototyping and architecture support, development and deployment support, and managed services to maintain the solutions over time.

Abstract graphic indicating technological support
Google Cloud Partner logo representing ClearObject's partnership with Google for AI Solutions.

Why work with ClearObject?

ClearObject was selected by Google as a GenAI launch partner based on our AI expertise and history of successful AI engagements. We built our reputation developing bespoke software and solutions for enterprise customers tailoring AI models, software, and solutions to exactly fit the needs of our customers. 

Google has been working in the enterprise AI space longer than anyone with their invention of Transformer Architecture in 2017 and continued innovation in the LLM space. 


The Leader’s Guide to Generative AI in Business

In “The Leader’s Guide” you will learn about the basics of generative AI, including how it works, the different types of generative AI models, and the benefits for enterprise organizations.

You will also learn about the challenges and opportunities associated with generative AI, and how you can elevate your business with this powerful new technology.

Test popup

Ready to get started with a GenAI Workshop?

Related Resources

Computer Vision and AI in QSRs

The QSR Industry is rapidly evolving and facing new challenges as consumer tastes and expectations change. Forward thinking chains are improving operations using the latest in CV and AI solutions.

High-tech Approach to Wastewater Inspections

The City of Fishers, IN is leading the way in infrastructure management and supporting local innovation with ClearVision—an Artificial Intelligence (AI) system created by Fishers-based tech leader ClearObject—to address the challenges of assessing wastewater utility infrastructure.

What are Soft Sensors?

Soft sensors use machine learning algorithms and other mathematical models to estimate process variables such as temperature, pressure, and flow rate based on other available data.