AI answers for enterprise data questions
A generative AI platform that provides actionable insights from internal and external data in real-time.


Private Cloud or Localized Integrations
Maya’s Impact = More Time
By automating repetitive tasks and providing intelligent suggestions, Maya saves valuable time and effort by adding specific and personalized insights. You no longer need to spend hours manually organizing, filtering, and manipulating data.

#Healthcare
The power to create stronger treatments for patients
Cancer Center in Singapore uses Maya to gain insights into patient data and correlate public or new IEDB peptide epitopes genome sequences and identify HLA’s that are associated with each peptide.
Discovery
Make data-driven decisions confidently with Maya. Using Maya’s advanced models to provide insights and recommendations in different perspectives, formats, images, and personalization for success.
Maya Responding:
"In London, the cost of living is high and taxes on inventory can make it difficult to keep up with. We should potentally decrease prices by 10%?"
"May I suggest changing your content style to B-Roll videos? The content velocity report states videos are more likely to gain traction."

Speed
Unlock valuable insights with Maya to generate accurate predictions, plans, and recommendations from new and historical data.
"Hey Maya, how do trends impact what people buy?"
"Can you tell me the main points of this report and how to improve our customer experience?"
"Maya, Also, can you compare these two reports to create better plans?"

access
Voice-activated data retrieval is made easy with Maya. Talk or text to get the insights you are looking for.
"Hi Maya, how much have I sold today?"
"Maya, how well is item #19 selling in London?"

Use Cases

Maya reads and summarizes the patient report
This video uses historical data and this public patient report to provide a

Healthcare
Maya is revolutionizing healthcare by improving patient outcomes, reducing costs, and associating appropriate treatments towards patients.

Pharmacy
Transforming the pharma industry by accelerating drug discovery, improving clinical trials, and optimizing manufacturing processes.

Retail
Reshaping the retail industry by improving customer experiences, increasing operational efficiency, and enabling recommendations.
FAQ
Absolutely! Maya AI is proficient in multiple languages and can effectively process and respond to queries in various linguistic contexts. Its language capabilities span a wide range of languages, allowing users from diverse linguistic backgrounds to interact seamlessly with the system.
Yes, Maya artificial intelligence is designed to continuously learn and improve its performance. It leverages advanced machine learning techniques and is regularly updated with new data to stay current with the latest information and developments, ensuring optimal accuracy and relevance in its responses.
During training, Maya is exposed to diverse text data and learns patterns and relationships within the data to develop its understanding and generation capabilities. The training process for Maya can vary depending on several factors, including the size of the dataset, computational resources, and the complexity of the model architecture. Training Maya AI can take several days to weeks, or even longer for more extensive models.
Maya surpasses other generative systems due to its exceptional design and unrivaled capabilities. Maya AI incorporates state-of-the-art algorithms and utilizes advanced neural networks to deliver unparalleled performance in tasks such as natural language processing, problem-solving, data analysis, visual analysis, sentiment analysis, perspective, and personality outputs.
Data privacy and security are paramount for Maya AI. All interactions are treated with the utmost confidentiality, and stringent measures are implemented to protect user data. Industry-standard protocols and best practices are followed to ensure the privacy and security of user information.
Yes, Maya offers seamless integration options. It provides robust APIs and developer tools, allowing businesses and organizations to incorporate Maya’s artificial intelligence capabilities into their existing systems or platforms, enhancing their functionality and providing an intelligent user interface.
Articles + Publications

The trends of open source tech in 2023
The trends of open source tech in 2023 The rise of large language

How can NLP be used in healthcare for medical records?
NLP is a powerful technology that can help healthcare providers make sense of

AI and copyright infringement
AI and copyright infringement This article explores how artificial intelligence-generated works can be

The trends of open source tech in 2023
The trends of open source tech in 2023 The rise of large language

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Use Cases

Maya reads and summarizes the patient report
This video uses historical data and this public patient report to provide a
Use Cases

Pharma Demo- What are the symptoms of Sarclisa within women the ages of 44 – 45?
In this video, we explore the cutting-edge capabilities of Maya AI as it

Drug Discovery
Identify patterns and relationships between various factors, such as drug efficacy and patient profiles, to support the development of more effective and personalized treatments.

Symptoms Analysis
Analyze vast amounts of medical data and identify patterns and relationships between symptoms and specific drugs, leading to improved patient outcomes through personalized treatment and care plans.

Drug Repurposing
Analyze vast amounts of medical data, identifying new uses for existing drugs and optimizing their efficacy for specific patient needs.

Locational Analysis
Maya can support location-based symptom analysis by using advanced machine learning algorithms to identify patterns and correlations between specific symptoms and geographic regions.

Policy Changes/ Regulation
Providing insights on the impact and consequences of proposed changes, aiding in informed decision-making for stakeholders.

Drug Distribution
Analyzing data such as market trends, supply chain logistics, and consumer behavior, using machine learning algorithms to identify opportunities for improving efficiency and reducing waste.
Use Cases

How much should I price my products, Maya?
This video uses historical company data to predict price optimization on product deals
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