Unleash the transformative power of Generative AI and Large Language Models (LLMs). Dive into an era where machines understand, create, and amplify human creativity.
We begin with a foundation in service design, ensuring that our solutions are fundamentally user-centric and cater to actual needs and challenges.
Leaning on our research, we select the optimal technologies and data sources that align with the use cases, ensuring a robust and effective solution.
Finally, we transform theory into action by developing a proof of concept, testing the practicality and impact of the solution in a controlled setting.
Together with Matti Nykter’s Computational Biology group, part of the Academy of Finland’s Center of Excellence in Tumor Genetics, we blended our natural language processing (NLP) prowess with their research into metastatic prostate cancer care paths, facilitating a deeper exploration into critical treatment decisions and outcomes.
Together with Tampere University and University of Jyväskylä, Veracell took on the ambitious project of crafting an automated electronic frailty index (eFI) from patient journals. The challenge? Decrypting the invaluable insights buried within clinician's free-text notes.
Translating academic studies into digestible and easily understandable textual content consistently takes a bit of effort. In an attempt to navigate this challenge, Veracell embarked on a project with Nightingale, testing out the capabilities of GPT-4 in two languages.
Cambri is an innovative and intelligent market research and concept testing software. The CEO of Veracell, Timo Erkkilä, has been an essential part of Cambri’s journey. With his lead, an in-house tech and data science team has been built for Cambri, supplemented with Veracell’s dedicated consultants.
"Innovative technologies reach their full potential when developed in collaboration with domain experts and guided by thoughtful design."
- Antti Kangas, CTO, Nightingale Health
We employed a design-first approach to identify use cases where large language models are applicable. Beginning with user research, we pinpointed aspects of an existing product that can be enhanced with GPT capabilities. A forward-looking concept worked as the foundation for implementation.
We built a comprehensive knowledgebase from zero, ensuring GPT-4 accesses current data, by intricately linking design-first approaches, AI concepting, and a steadfast Azure architecture into a deployed application.
Our design-first approach utilized LLMs for interpreting international user feedback and providing operators precise assistance via an AI that navigates through structured, multilingual, and multimodal global data repositories.
We expedited the processing of scientific literature using LLMs, delivering an end-to-end application solution and crafting science-focused marketing content that bridges knowledge and application.
"Even though we have extensive expertise in genomics and data analysis, trying to do everything ourselves is not always advisable. Veracell’s expertise in NLP and electronic health records accelerated our research by structurizing and modeling the data for the project's purposes.”
- Professor Matti Nykter, Tampere University
A music-loving engineer evolving into a dedicated data professional, inspired by real-world challenges and guided by curiosity.
Imagine if you could discern where generative AI excels and where it requires a human touch, ensuring seamless integration.
Imagine if GPT-4 assistants could transform your business, streamlining tasks from marketing to data structuring for internal documents.
Imagine a world where your machine understands you as clearly as a colleague. Dive into the endless possibilities unlocked by NLP and GPT-4.
Ever thought what it’s like to teach machines to understand language? Meet Eetu, our senior data scientist who's crafting the future of NLP.
"It has been quite beneficial working with Veracell in our NLP project. Veracell engineers helped us get started from the beginning and has been consistently responsive with discussions and ideas for improving our EFI model."
- Jake Lin, PhD, Tampere University
Each thread is a solution for a more intelligent, efficient, and sustainable world.Contact us