In the industrial and business environment, generative artificial intelligence (AI) has demonstrated extraordinary value in process optimization, time savings and accuracy in tasks that, in the past, required a large investment of human resources.
Through real-world projects, we at Bravent have implemented generative AI-based solutions that are transforming the way companies manage their information and day-to-day operations.
Below, we explore three successful use cases that highlight the potential of generative AI in practical applications.
Industrial drawing analysis with AI: Time savings and accuracy in data extraction
The analysis of industrial drawings is a critical task in many industries, where engineers often work with complex industrial parts that require pinpoint accuracy.
Traditionally, extracting information from these drawings – such as dimensions, distances and other technical specifications – took hours or even days of manual work.
Our generative AI solution allows these drawings to be analyzed in a matter of seconds, extracting all the structured information in JSON format, which can then be easily integrated into the customer’s system.
Our innovation in this area was recognized at the Indesia hackathon, where we won an award for this solution that significantly reduces the time and errors associated with manual analysis of industrial drawings.
With this achievement, Bravent reaffirms its position as a leader in the application of generative AI in industrial processes. For more details on this case, you can read our full article here.
Data extraction in mortgage documentation: Speed and security in information management
In the financial and real estate sector, managing mortgages and other lengthy documents is a task that has traditionally required a thorough review of every page.
With generative AI, it is now possible to process these lengthy documents in a matter of seconds, extracting key information such as the property identifier, address, owner’s name, relevant dates and other important data in an automated and accurate manner.
This solution not only saves time, but also ensures a high level of security in the handling of each client’s sensitive information.
Through this type of analysis, entities can manage their documents much more efficiently, improving their responsiveness and reducing the risk of human error in the process.
Bid analysis: Efficiency in identifying opportunities.
The bid analysis process represents another prominent area of application for generative AI.
In projects of this type, AI can examine and extract key information from a large volume of tenders, identifying opportunities, requirements and specifications without the need for extensive manual review.
This technology allows companies to save considerable time, while ensuring that all important details are captured in each bid document.
With this solution, organizations can focus on the strategic analysis of bidding opportunities, facilitating informed decision making and the preparation of customized proposals for each project.
Conclusion
The implementation of generative AI in projects such as industrial blueprint analysis, mortgage document management, and bid processing demonstrates the tangible value that this technology can bring to a variety of industries.
Each of these use cases highlights AI’s ability to perform complex tasks quickly and accurately, freeing human teams from heavy workloads and allowing them to focus on more strategically valuable work.
At Bravent, we continue to innovate in the development and application of generative AI solutions, supporting our clients in optimizing their processes and transforming their operations.
For more details, you can contact us at Info@bravent.net
