Generative
AI Ecosystem

Generative AI Ecosystem

When creating a Generative AI system you need a great use case and an AI Partner that can build a reliable solution fit for scaling and with strong outputs.

Automate operations
Boost efficiency
Drive innovation

What is a Generative AI System?

A Generative AI Ecosystem is an integrated framework that leverages advanced large language models (LLMs) and machine learning techniques to automate and enhance various business processes. It encompasses generative assistants, which handle a wide range of inquiries and tasks, and generative workflows, which streamline and automate complex processes.

Additionally, it includes a cockpit framework for monitoring and optimizing system performance. This ecosystem aims to improve efficiency, accuracy, and scalability in business operations by providing intelligent, context-aware solutions tailored to specific needs.

DareData GEN.OS

We've worked with Text Mining and NLP since its infancy and know how to create safe and reliable GenAI agents and workflows. We know you need to aim for high accuracy and make all the puzzle pieces work together. That’s why we built the Generative OS, so you have the best possible Generative AI system in place.

Generative Assistants

Virtual assistants for both internal and public use, capable of handling a wide range of inquiries from simple questions to complex transactional workflows. They can be applications, chatbots, voice agents or task helpers. No matter the case, they are here to help you:

Q&A Agents: Answer a wide array of questions using both public and private data.

Sales Agents: Enhance your sales operations by providing real-time, accurate information.

Intent Discovery Agents: Automatically identify and categorize user intents for better service.

Coding Agents: Assist in software development with intelligent code suggestions and completions

Generative Agents

Automation of company processes with extractors that leverage GPT capabilities to compile knowledge from extensive texts and builders that streamline creation processes. They can extract or build information with various of uses:

Content builders: they create content

Extractors: they extract information from documents

RAG: they optimize results LLM results for better accuracy

API Readers: they connect with other software

DB Readers: they read the information from datasets

Semantic scrappers: they search information semantically

Orchestrators: they command the workflows, telling what to do

Monitoring Framework

A powerful tool for monitoring and improving the performance of generative systems, ensuring enhanced observability, precise performance measurement, and continuous improvement based on real-world business metrics.

One tool for human control:

Enhanced Observability: Monitor content with versioning, conversation history, and performance metrics.

Performance Measurement: Focus on metrics from individual answers to overall business value.

Continuous Improvement: Adjust and optimize system performance according to real-world metrics

How it works

A good generative OS is designed to integrate into business processes, providing intelligent and context-aware solutions that enhance efficiency and accuracy. It combines advanced language models with robust machine learning techniques to deliver high-performance results across various applications.

High Accuracy

Aims for high accuracy in generating relevant and correct outputs.

Scalability

Easily scales to handle increasing volumes of data and user interactions without performance degradation.

Adaptability

Integrates smoothly with existing systems and quickly adapts to new data, intents, and use cases.

Security

Ensures robust data protection and compliance with industry standards, safeguarding sensitive information throughout all processes.

Continuous Improvement

Utilizes real-world metrics and feedback to constantly refine and improve performance.

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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