Success Stories / Software & Internet

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LIEV Accelerates the Use of AI at Inmetrics Using AWS

As a leader in Quality Engineering, Inmetrics built LIEV—an accelerator in the creation of AI solutions that automates more than 70 percent of procedural tasks and reduces unit testing by more than 90 percent.


more productivity in software development


reduction in the creation time of unit testing


increase in efficiency at the business call center


reduction in the effort to analyze and extract data from contracts


of automated procedural tasks


Founded in 2002, Inmetrics has established itself as a leader in Quality Engineering services developing expertise in areas such as Data Analytics, Machine Learning, UX, Development, Cloud & Infra, SRE and Observability. With its recognition in the market for its end-to-end capacity in the development, infrastructure, and quality of digital products in the cloud, in addition to being an AWS Partner, Inmetrics has proven technical knowledge in solutions.

Cloud Financial Management - FinOps - Conceptual Illustration

Opportunity | Accelerating the Use of AI in the Corporate Market

Inmetrics developed LIEV, an internal initiative to accelerate its processes and increase team productivity. The objective was to reduce manual workload and allow teams to focus on their tasks with greater added value. The initiative was so successful that the company decided to make the solution available to its clients, allowing them to leverage the same efficiency and productivity benefits.

Daniel Messias, solution director at Inmetrics, recalls that the company was already developing algorithm models for operating data and that the arrival of LLM (Large Language Model) networks encouraged new development possibilities. One of these possibilities resulted in the creation of a generative AI solution that works as an accelerator in the development of artificial intelligence (AI) solutions, boosting the efficiency and productivity of various operations within a business—with intensive use of open-source LLM networks, strict security standards, and in full compliance with LGPD requirements.

Referred to as LIEV, the solution represents a leap into generative AI, combining efficiency, versatility, and safety. With LIEV, Inmetrics is positioned to lead and define the future of generative AI, offering innovation and performance as real and long-term competitive advantages to its clients.


"From the moment we released this engine in the client's environment, we started leveraging AWS tools."

Daniel Messias
Solution Director, Inmetrics

Why AWS | Seeking an Efficient and Robust Solution

LIEV works as a set of codes and architectures to offer business solutions or the generation of technical artifacts, facilitating the use of LLMs in private environments and running on the client's own cloud—this is why the data is never shared. In order to guarantee that the solution was successfully implemented, Inmetrics needed to rely on an adequate infrastructure. That’s where AWS comes into play, providing an infrastructure that enables the use and adoption of generative AI at scale.

“AWS has always been our cloud provider and we chose it for being the most mature cloud in the market. That's why LIEV was born within AWS, as a result of this trajectory between the two companies,” Messias says, recalling that AWS infrastructure helped the company to train models quickly and efficiently, creating the ideal solutions for Inmetrics’ clients with the lowest investment possible.

Today the entire LIEV infrastructure runs on AWS, using services such as Amazon Elastic Compute Cloud (Amazon EC2); Amazon SageMaker; and the recently launched Amazon Bedrock, a managed service that that offers a choice of high-performing foundation models (FMs) from leading AI companies and Amazon with a single API, along with a broad set of capabilities to build generative AI applications, simplifying development while maintaining privacy and security. Amazon Bedrock agents are fully managed and facilitate the building of generative AI applications that can provide updated answers based on proprietary knowledge sources and complete tasks for a wide variety of use cases.

In addition to Inmetrics' internal use, AWS services are also the basis for offering LIEV to the market. As an AWS Partner, Inmetrics also implements LIEV on AWS for other clients. Therefore, since its creation, the solution was integrated with all Inmetrics’ services, making it the first Brazilian technological consultancy to incorporate AI across its portfolio, including development, software testing, modernization and migration of applications to the cloud, and the construction of production belts.

LIEV is already being operated in pilot version by some of Inmetrics' central clients. They have been using it to build personalized solutions oriented to solving their key business challenges and impacting different success indicators. "From the moment we released this engine in the client's environment, we started leveraging AWS services in order to assimilate and promote this stream. In that sense, this is a great value that we have,” Messias says.

Sidney Rocha, another managing director at Inmetrics, recalls that, in the first months using the solution, the company already worked on 20 generative AI projects. “Today we don't talk exclusively about digital transformation, we discuss digital efficiency. That’s what the use of generative AI is all about. Making this connection marks a new moment in the technology market,” he explains. Rocha also describes the steps companies should take to be able to capture all this value. Created based on the experience gained, the company relies on a roadmap based upon six steps: identify a specific domain and select a persona; define OKRs and assemble the team; determine data sources; define the technology stack; experiment with users and measure results; create a business case.

Results | Generating Results with Customized Solutions

LIEV goes much further than a generator of code or testing scenarios; it increases team productivity four times by adapting to the coding style of each business, converting code between different languages in seconds, and automating up to 75 percent of procedural tasks. LIEV is also capable of reducing the creation time of unit testing from two days to two hours, resulting in a reduction of 95.83 percent in the time needed to perform this type of task. In addition, teams can develop customized solutions for specific business issues including financial reporting, customer service operations, and contract analysis.

Messias recalled that, in one of the concept tests developed, LIEV was used for a task of certificate analysis that, if done manually, would take 30 minutes on each document. Using the solution, this time was reduced to less than one minute, freeing up more time for the legal team to perform strategic tasks. “There were also gains in terms of standardization in the reading and validation of certificates through automation, mitigating possible errors,” he points out.

At a different client in the financial segment, LIEV was programmed to have access to databases (DB), retrieve transactions and compile information. Thus, the solution responds to prompts, creates a SQL command, runs it, and returns the answer to the user in a simple and everyday language. This facilitated the access and reading of strategic data and freed analytics teams ensuring more autonomy and placing the power of competitive intelligence directly in their hands.

About Inmetrics

Founded in 2002, Inmetrics is a reference in Quality Engineering and a leader in Continuous Testing, Application Quality Assurance and Contender Development. Holding around a thousand professionals in Latin America, the company spent more than 25 million hours with IT projects.

AWS Services

Amazon Bedrock

Amazon Bedrock is a fully managed service that offers several high performance foundation models (FMs) options from the leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI and Amazon, through a single API, as well as a wide range of resources needed to build generative AI applications, simplifying its development and maintaining privacy and security.

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Amazon SageMaker

Amazon SageMaker is built upon Amazon’s two decades of experience in developing machine learning applications for the real world, which includes recommendations of products, customization, smart shopping, robotics and voice-assisted devices.

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Amazon EC2

Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and most in-depth computing platform, with more than 700 instances and options for the latest processors, storage, networks, operational systems, and purchasing models to help you better address the needs of your workload.

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