Scale
your AI

Overcoming the Hurdles of AI Scaling

Managing multiple AI initiatives comes with its own set of challenges. From lack of cohesion and integration to establishing robust governance mechanisms, the journey can be daunting. At DareData, we address these pain points with precision and expertise.

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68%

of companies haven’t taken any step to ensure that their AI is trustworthy

According to "Sales Force".

30%

of companies state that silos are the main cause for not deploying AI systems

50%

of companies say they lack data infrastructure to deploy AI

Get your AI system ready for growth

You’ll probably have some of these:

“My AI system is slow”

“Me and my coworkers hate my AI system, because it’s dumb”

“Too many AI systems”

We know. AI can be daunting without proper partnership.

That’s why we help you get your company on the right track,
ready for scale with an optimized AI system.

Comprehensive Solutions for Scalable AI

DareData offers a suite of solutions designed to meet the specific needs of companies ready to scale their AI:

MLOps

Leverage your Generative AI System with advanced integration of LLMs, generative workflows, management systems and data pipelines, and ETL processes to integrate AI projects into a cohesive ecosystem, enhancing generative across your organization.

CICD

Our generative cockpit is designed to monitor, measure, and enhance the performance of generative AI systems. It provides enhanced human control on quality and monitoring outputs, boosting efficiency and accelerating operations.

AI Governance Framework

Optimize your AI operations with our custom MLOps solutions, including automated model training, deployment, monitoring, and continuous integration/continuous deployment (CI/CD) pipelines, ensuring high availability and performance.

Empowered AI teams

Get your team ready for the AI journey with killer training and knowledge sharing. Our trainers can take your people into the right path, sharing knowledge and ensure they have the skills to use your AI system in the best possible way.

Feedback loops

Implement comprehensive governance frameworks with tools for model validation, version control (e.g., MLflow, DVC, Datamesh), and compliance monitoring to ensure robust accountability, transparency, and adherence to regulatory standards.

Why DareData

We’re the real deal in AI

You need someone to help you cut through the hype and all the buzzwords around AI. You need someone who knows and that has been around since the field was called Data Mining. That's where DareData comes in. AI is what we do and we have a skilled team of AI professionals and Data Scientists dedicated to help you travel the AI journey with ease.

Collaboration is a mindset

Welcome to the team. From the initial strategy assessment, implementation or ongoing optimization we’re here to help you in every step of the way. We’re doing this together, with you. It is not just a job or a project, it is us helping you with our knowledge and skills to improve your operation.

We got the proven track record

We don't just know how to implement AI. We have done it successfully with several clients across the globe and for different industries. Yes, we've got the use cases with tangible business value, improvements in efficience and business growth. You're in good hands and our clients can speak about it, just check what they have to say about working with us.

"Their ability to bring clarity to the application of models in practice is amazing."

Revenue & Margin Growth Manager, Heineken

“DareData Engineering has the resilience to make the effort in improving our development and production processes.”

Lead Data Manager, NOS Comunicações

”We were very pleased with the training. The materials were adjusted to our needs and, in the end, we could take home some ideas that we could apply to our business.

Data Coordinator, Worten

Frequently Asked Questions

Our success stories

Automating Large-Scale ETL Migration with AI

Our client needed to migrate approximately 300 data pipeline jobs from Talend, a proprietary ETL platform, to a modern Python and Spark-based stack. Manual migration would have required months of repetitive, error-prone work. We built NextGen, an AI-assisted migration tool that performs SQL-centric extraction and Java code simplification.

Learning Pods for Enterprise AI Teams

As AI moves from experimentation to production, companies face a critical challenge: scaling skills at the same pace as technology. We created Learning Pods to help teams develop strong foundations, adopt best practices, and continuously evolve their data and AI capabilities.

AI Sales Assistant B2B

NOS wanted to improve the effectiveness of its B2B sales teams, who worked with limited time and scattered information across multiple systems. Together, we built the NOS B2B Sales Assistant. It centralises data, prioritises opportunities and creates personalised content, giving salespeople more time, more focus and more results.

AI Assistant for your Workforce

Sonae Sierra needed to simplify daily work by providing all employees with a conversational workspace without being locked into expensive, per-user licences from consumer platforms. We deployed one of our Gen-OS products, GenAssistant, an AI chat platform that unifies multiple LLMs in a single interface, avoids vendor lock-in, and enables best-model-per-use-case selection.

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