Delivering Business Process Co-Pilots and Enterprise Forecasting through

Findability Platform® Confluence of Wide-Data, Discriminative AI, Generative AI and Governance

To make the most of AI, it's essential to have a smart, strategic plan. This means aligning your business goals with what AI can do, especially with Wide Data, Discriminative AI, and Generative AI and Governance. It's also crucial to have the right setup, skills, and rules in place to effectively handle and use these advanced AI tools.

Our Business Process Co-Pilots and Enterprise Forecasting is powered by our proprietary technology - Findability Platform which makes use of these 4 elements of AI.

Foundation of Findability Platform
Internal, External, Structured and Unstructured Data


Wide Data is at the heart of Enterprise AI solutions, taking a step beyond traditional big data by emphasizing not just the amount of data but also its diversity and reliability.

It involves merging varied data sources to offer a complete picture of business scenarios and market trends. Wide Data encompasses everything from transactional details and customer behavior to environmental influences and global developments, allowing businesses to fully understand the forces impacting their operations and markets.

Findability Sciences enhances Wide Data implementation through partnerships with industry leaders like Snowflake, IBM C4D, Yellow Brick, Watson Openpages, and SAP, along with numerous data providers. This collaboration ensures a robust and diverse data foundation for effective AI applications.

Internal, External, Structured and Unstructured Data
Supervised and Unsupervised Machine Learning
Discriminative AI
Machine Learning, Natural Language Processing & Computer Vision

Discriminative AI

Discriminative AI, utilized by Findability Sciences, plays a crucial role in analyzing the extensive data collected via Wide Data. This AI technology excels in spotting patterns and establishing connections within intricate data sets. It empowers businesses to forecast market trends accurately, enhance operational efficiency, and make strategic, timely decisions, thus setting the stage for greater success.

To achieve this, Findability Sciences employs several advanced algorithms in its Discriminative AI approach. These include Support Vector Machines (SVMs), Logistic Regression, Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), Random Forest, Gradient Boosting Machines (GBMs), K-nearest neighbors (KNN), and Linear Discriminant Analysis (LDA).

Each of these algorithms contributes to the AI's ability to process and interpret complex data, leading to more informed and effective business strategies.

Interpretive and Generative AI 
Large Language Model based on transformer technology

Generative AI

Generative AI, a cutting-edge technology employed by Findability Sciences, uses sophisticated algorithms to generate new data that closely resembles original data. This technology's unique capability to produce innovative and high-quality data is pivotal for enhancing simulation models, developing synthetic datasets, improving customer experiences, and more. With Generative AI,

Findability Sciences' Enterprise AI solutions are at the forefront of technological innovation, revolutionizing business strategies and solutions.In its implementation of Generative AI, Findability Sciences leverages foundational models from leading tech entities like OpenAI, Microsoft Azure, IBM WatsonX, Hugging Face, Google Bard, and LangChain.

This integration of advanced models from renowned sources ensures that Findability Sciences' Generative AI capabilities are robust, versatile, and at the cutting edge of AI technology.

Generative AI
Must for businesses who wants to make use of Data and AI
Undulating Cloudscape 1
Data Governance in the world of privacy issues


Implementing AI solutions effectively requires a strong Governance, Risk, and Compliance (GRC) Framework to ensure data privacy, security, and ethical use of AI. Findability Sciences addresses these needs with its comprehensive GRC Framework, which safeguards Enterprise AI operations. This framework outlines specific policies and procedures for managing data access, utilization, and disposal, ensuring that all activities comply with relevant laws and regulations.

The GRC solution at Findability Sciences is bolstered by its products that rely on Discriminative AI, along with integration of IBM WatsonX.

This combination not only enhances the security and governance aspects but also aligns with the best practices in AI, ensuring responsible and efficient use of AI technologies.