AI for the people
we are a group of companies based in Paris and Lisbon dedicated to unconventional AI programmes and solutions
AI medialab and digital garden
Joonam.ai promotes an interdisciplinary approach to AI that brings together diverse areas of interest and inquiry. We are a small but unique team among other European AI focused companies, as we not only access to a broad research agenda through our mother company in Paris (RedLab.Paris), but also through long-time partners in London, Munich or Beyrouth. Our broad network of faculty, students, and Phd researchers work together on numerous projects across disciplines to address issues that impact people in their ordinary life, including health and well-being, education, sustainability, growth and development, and find solutions that help make communities healthier, more prosperous and safer.
Joonam ai medialab is both an experiment and an eco-system where soft and hard sciences build and play off one another in an environment designed for collaboration and inspiration.
Our Phd research teams
We work with doctors and PhD graduates with unique backgrounds, original views and diversity in academic training, work and experience, to possibly transform unconventional ideas to positively impact on the way we live.
Our commitment is to results...
Joonam ai medialab is not on launching the ”next big thing”, nor game-changing businesses, nor another penultimate disruptive whatever…
Our commitment is to have a positive effect on the world by applying rigorous and objective analysis to nurture and grow projects and solutions.
Pharma, health and well-being
More than 50% of Europeans web search for health information, and 80% of Europeans self-medicate. But the truth is most people self-medicate by either guessing or using their gut. They will prove either lucky or wrong.
Joonbi.ai experts make self-medicating easier, more transparent and safer. They develop AI powered self-medication solutions and services that change the user’s relationship to self-medication, and which work as a personal self-medication vault.
Online diagnosis tools
Joonbi.ai experts have created a range of smart tests which are AI powered solutions that answer precisely to precise questions. Smart tests generate and automate one to one contextualized self-medication.
Health and well-being data-driven content solutions
Joonbi.ai teams design 100% user centric solutions for pharma groups, H&B brands and retailers, insurance companies, e-medias, e-pharma sites…
In & Out In Record Time
Our NLP (NLG & NLU) experts teams design and develop software processes that automatically transform complex data into written human-like narrative.
Zaban.ai is the method we have developed to optimally articulate the data behind the narrative, the conditional logic and software that makes sense of that data, and the resulting content that is generated.
Open source NLG
Zaban.ai team promotes and uses RosaeNLG as natural language generator, an easy to use template based, open source (and French), solution created by Ludan Stoecklé.
BI & analytics platforms
From sports, cooking or pharma, to custom BI finance dashboard analysis and communications, NLP is a must wherever there is a need to generate content from data.
Something about us
Joonam and RedLab partner with RosaeNLG to develop actionable NLG health self-medicating software
RedLab the Paris-Lisbon based R&D company and think tank, and RosaeNLG, the open source natural language generator (NLG) created by Ludan Stoecklé, have partnered to develop and maintain advanced NLG language and library modules for the growing RosaeNLG community.
You are a start-up or a larger company, a non profit organization or a public institution, an international body or a municipality in need of solid AI and NLG-NLU tools and solutions to fuel a development/growth programme, … don’t be shy ! We’d love to exchange with you …
joonam.ai (www.joonam.ai & www.joonam.eu) is powered by Khoobi AI – Sistemas de Inteligencia Artificial Lda, a company incorporated in Lisbon and affiliated to Anastasys s.a.s., 75008 Paris – France.
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