Empower your business with cutting-edge machine learning

Harness the synergy of ML Engineering and MLOps to enrich your business applications with intelligent features. From natural language processing to recommendation systems, our machine learning services drive innovation at the forefront.

We transform businesses like

Let’s reinvent your future with Machine Learning

We leverage deep learning, transfer learning and reinforcement learning, spanning breakthroughs in Natural Language Processing, Computer Vision, and Generative Models, to elevate your business capabilities and deliver unmatched solutions.

→ Need help figuring out what AI initiative should come first for your business?

Our capabilites

We help by providing end-to-end support or completing your team with qualified engineers. Here are some of our Machine Learning capabilities:

Unlocking
Data Mastery

e-Core turns raw data into predictive gold, optimizing it for AI/ML modeling with expert cleaning, transformation, and feature creation.

Crafting Model Excellence

We sculpt algorithms to fit your needs, guiding their selection, training, and fine-tuning for peak performance—shaping AI as unique as your business.

Streamlined Deployment & Oversight

We integrate MLOps practices to deploy AI into action, monitoring model performance over time and ensuring swift issue resolution, allowing you to focus on what truly matters.

Championing Responsible AI

We ensure your AI is not just smart but ethically sound, mitigating risks with robust policies and practices that guard against unforeseen pitfalls.

Pioneering Change Leadership

We not only implement ML solutions but also lead the charge, facilitating integration, communication with stakeholders, and seamless transitions that make innovation feel like second nature.

Security
at the core

Your data privacy is our top priority.

We value your privacy. Your data remains exclusively yours – it is never used to train third-party AI models. 

Advanced security measures. We follow the most advanced security and compliance standards to ensure the utmost protection and confidentiality.

Absolute Transparency. Your data is never integrated into our AI systems without your explicit consent. 

Explore real-world results

Discover the benefits our clients are already experiencing with ML solutions!

Predictive maintenance for non-stop production

See the results!
Using Amazon SageMaker at one of the largest paper producers in Brazil, we trained a Deep Learning Model for predictive maintenance of paper machinery to give the engineers data-driven decisions for maintenance.

The benefits?
Increased operational efficiency, reduced downtime, and cost savings while extending the lifespan of critical equipment.

Recognizing car repairs for better customer service

See the results!
Using Amazon Rekognition at a digital platform for buying, selling, and managing used vehicles, we trained a Deep Learning Model focusing on cars damage detection, to predict car repair costs.

The benefits?
Streamlined appraisal process, providing quicker and more accurate estimates, improving customer satisfaction, and reducing claim processing time.

Calls prediction so customers won't wait in line

See the results!
Using Amazon Forecast at a call center company we trained a Deep Learning model to predict the number of calls to provision the right number of attendants.

The benefits?
Predicting call volume allows for optimal staff allocation, reducing customer wait times and ensuring efficient service delivery, ultimately leading to improved customer service and cost management.

Detecting employee exposure to avoid risks

See the results!
Using Amazon SageMaker at a giant of port and maritime logistics, we trained a deep learning model for object detection of security equipment, such as helmets and vest, to improve labor security.

The benefits?
Object detection for security equipment enhances safety protocols, reduces workplace accidents, and ensures compliance with safety regulations, which can lead to reduced insurance costs and improved employee morale.

Our TooIkit

Amazon
Web Services (AWS)

amazon-sagemaker
Amazon SageMaker
amazon-rekognition
Amazon Rekognition
amazon-textract
Amazon Textract
amazon-forecast
Amazon ForeCast
amazon-comprehend
Amazon Comprehend

Google Cloud Platform (GCP)

vertex-ai
Vertex AI
tensorflow
TensorFlow
pandas-logo
Pandas
plotly-logo
Plotly Dash

Why e-Core

Proven
legacy

20+ years of excellence in Application Development

800+ application modernization projects delivered

300+ active customers

A robust track record in Machine Learning

Data &
Analytics Mastery

Expertise in Big Data, Data Lakes and utilizing data for ML/AI projects

Experience architecting and configuring high-performance environments while keeping costs in check

Track record of successfully executing projects involving large data sets

AWS Data-Driven Everything (D2E) specialist

Multidisciplinary
team

+100 certifications in cloud computing, application development, web services and project management methods.

One of the few AWS Data & Analytics Competency partners with Nearshore Delivery

ML capabilities include recommendation engines, forecasting, image processing, and predictive maintenance

Agile Champions: A nimble approach backed by professionals certified in modern agile frameworks.

Nearshore Delivery Center

Cost savings
from 40 to 55%

Offices in NY, delivery centers in Brazil and Mexico

USA time-zone fit for real-time collaboration

Certifications & Recognition

That underline our commitment to delivering the best

FAQ on Security for AI & GenAI Solutions

At e-Core, we take the privacy and security of our clients' data very seriously. We understand that the use of generative Artificial Intelligence (AI) tools, such as language models from OpenAI (GPT), Google (Bard and PaLM 2), AWS (Bedrock) and Meta (Llama2), can raise concerns. This FAQ explains how we use these technologies responsibly.

No! We always use paid or pro versions that do not share sensitive information. All of these tools are in full compliance with applicable privacy laws and regulations. In addition to that, we make sure to configure every tool with the proper security controls and industry best practices and standards in order to protect every customers’ data.

We develop AI models ethically and safely, following strict protocols for the protection of client data. We use public and anonymous databases for initial training and refine with synthetic or open-source data. The models are constantly monitored to maintain their integrity.

e-Core adheres to key privacy regulations like LGPD, GDPR, CCPA, and HIPAA by implementing robust data protection measures. We obtain user consent and conduct DPIAs (Data Protection Impact Assessment) for projects involving personal data. 

Data, according to need and application, is anonymized, encrypted and kept in a secure environment through cloud providers such as AWS. Our clients can manage their data and request manual reviews of automated decisions. Transparency and continuous employee training ensure compliance and security.

There are several actions to achieve that, such as:

Extensive offline testing: before going into production, the models undergo various tests using synthetic data to ensure accuracy.

In-production monitoring: we continuously track the performance and outputs of the models to detect deviations.

Human review: all forecasts are checked by experts before being delivered to clients.

Continuous model training: we incorporate customer feedback to regularly improve and re-train the models.

Transparent documentation: we record and report the known capabilities and limitations of the forecasts.

Security: regular testing of vulnerabilities and compliance with standards.

At e-Core, we take the ethical and responsible use of artificial intelligence very seriously. Before putting any model into production, we carry out extensive bias tests using established methodologies to identify and correct possible unfair biases.

We also incorporate transparency and explainability mechanisms into our models, providing documentation and tools that allow decisions and outputs to be understood.

In addition, we continuously monitor the models in use for ethical problems and are always open to feedback from clients. If biases or unethical decisions are identified, we have robust processes in place to investigate the causes, suspend the use of the models and update the algorithms to resolve these issues.

We are committed to ensuring that our AI systems reflect our highest ethical values. We believe that AI should benefit everyone in a fair, transparent and accountable way.

The integration of AI tools, such as ChatGPT Plus or GitHub Copilot Business, increases operational efficiency, improves code quality and facilitates data-driven decision-making. These tools are aligned with e-Core’s focus on customer-centric solutions and enable business acceleration and transformation.

Let's talk!

As a launch offer we are giving an 1 hour consulting session for the first 15 who fill out the form*. During the call, one of our AI Specialists will go over your questions, discuss potential use cases and POCs, and see if our customized Discovery session is a good fit for you!

Your future starts now!

*Consult terms and conditions

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