Co-develop the future of end-to-end enterprise innovation with #GenAI and AEVO
With technology, services and data combined with Generative AI, we help you unlock and boost innovation management in your company
Invest your time where it matters.
Let Generative AI do the heavy lifting.
Our LLM with the context of your company.
Modeling of territories and innovation theses based on predictive analysis of dependencies and corporate strategy.
Simulated validation of PoCs (Proofs of Concept) with Generative AI.
Generative AI speeds up the innovation process, enabling faster decisions and the accelerated development of new products and services.
Let's talk about solutions with Generative AI
Generative AI is a language model that uses Artificial Intelligence to generate content of the most diverse types: texts, music, videos, among others.
Generative AI is generally trained on complex communication models, according to its objective, to create information using a pre-existing data set.
What makes Generative AI special is its ability to learn advanced concepts by considering a multitude of parameters when performing tasks. It is capable of generating rich content from little information.
The main difference between Generative AI and Traditional AI is its ability to create new and original things based on the learning it obtained during training. Traditional AI, however, is focused on solving specific tasks and does not have the ability to generate something new and original.
Generative AI does not repeat the information that was learned during its training, but uses this data to produce an infinite variety of original content.
Its main advantage is the ability to bring original and unpublished ideas to life based on provocations made by the user.
Generative Artificial Intelligence can also speed up task completion, or help shape human proposals without much structure.
It has the potential to act in all phases of innovation management, from helping to build an idea, from an initial scope, to executing a project. It is also capable of making processes faster, smarter and more effective.
Generative AI learns but does not reproduce the data with which its training was carried out. The main differentiator of Generative AI is, precisely, creating completely new things from the commands (or Prompts, as it is commonly called) inserted, suggesting new directions and possibilities with transformative capacity for your business.
In the case of the AEVO solution, we use the “LLMs” (Large Language Models) model, which are focused on tasks based on text generation, classification, information extraction, among others.
LLMs were designed, based on years dedicated to their study, to understand and generate content as if it were a human person. To achieve this, this model, present in interfaces such as Open AI (Chat-GPT, for example), is trained on a huge amount of data.
No, AI is a tool that complements and expands your team's capabilities, allowing them to focus on higher-value work, while AI helps speed up deliveries, takes care of repetitive tasks and is capable of analyzing large volumes of data.
A Innovation, due to its characteristic of navigating unexplored environments, takes place in a scenario of total uncertainty. It is characteristic of the most innovative companies to make high-risk bets, with high potential returns, to be able to innovate.
In this context, Generative AI can help validate hypotheses in the early stages, contributing to risk mitigation, with the use of techniques that help create synthetic validations with a high degree of assertiveness.
Furthermore, as mentioned above, small commands are capable of contributing to the creation of new and original ideas for your company, with greater quality and democratization of access to innovation for all audiences.
Yes, we offer the option to customize algorithms to align with your specific needs, and we collaborate with your team to ensure AI is tailored to your innovation challenges.
One of the differences in using LLMs is precisely applying their knowledge in a wide variety of contexts.
Artificial Intelligence can significantly reduce cycle times in several phases, from accelerating the generation of ideas, with higher quality, to prioritizing and testing concepts, helping your company to innovate faster and more efficiently.
Yes, our AI models are capable of running simulations that take into account a range of economic and market variables to predict the future performance of potential innovations.
This work is done using synthetic users, created from personalized commands, which help in simulating these scenarios, possible actions to be taken and impacts caused.
Our team of consultants has expertise in using Generative AI to model territories and innovation theses for your company, with predictive analysis as a driver for understanding trends and impact on corporate strategy.
Success metrics include increasing the quantity and quality of ideas generated, reducing innovation cycle time, improving project success rates and having a positive impact on the return on investment (ROI) in innovation.
Yes, our team of consultants is capable of carrying out personalized simulated validation work Proofs of Concept and also markets to be explored.
The creative capacity of Generative AI, coupled with experience with building advanced prompts, will allow your company to navigate controlled testing environments.
