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New Mumbai Hub
Innovation & Delivery Centre Poised to Boost Innovation, Enhance Global Client Delivery & Accelerate AI-driven Growth
Use Cases Of Our Products
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Regulatory Report
Challenge:
A leading dental precision equipment manufacturer urgently required automation of FDA 510(k) submissions to drastically reduce turnaround from over 4 weeks, improve accuracy, and eliminate costly manual errors.
Solution:
Deployed Findability Sciences' advanced AI-driven document processing solution, automating critical sections including device description, substantial equivalence, performance data, labeling, and compliance standards.
Banking Compliance
Problem: A global Financial institution grappled with escalating regulatory complexities, leading to manual compliance processes that were time-consuming and prone to errors.
Solution: Leveraging Findability Sciences advanced AI technologies, the Financial institution automated its compliance tasks, ensuring real-time monitoring and swift adaptation to regulatory changes.
FDA Regulatory Assistant
Automated creation of Comprehensive Annual Review and Revolving Credit Report
A Fortune 500 bank that provides credit to large enterprises worldwide. The bank used external consultants to manually create Comprehensive Annual Reviews (CAR) and Quarterly Credit Reports for thousands of enterprises. Using Findability Sciences Business Process Co-Pilot, information was extracted from 10-K/10-Q-reports, Revolving-Credit Applications and the Web. Analyst commentary was generated with a custom-trained LLM.BPC is saving the bank thousands of hours of report preparation effort by automating report generation and eliminating all human errors.
Governance, Risk & Compliance
A global dental surgical implements manufacturing company headquartered in Europe, wanted to automate the preparation of FDA's 510(k) regulatory forms. Form 510(k) preparation is necessary for launching any new device or implementing changes to an existing one. Form preparation tends to be tedious, expensive, and time-consuming. We have developed a BPC solution tailored for 510(k) form filling and submission. Our technology streamlines data entry, validation, and submission processes ensuring accuracy and compliance with FDA requirements.
BPC for BI
Challenge:
A leading Latin American sugar producer faced challenges in quickly accessing accurate business insights without complex manual analytics. Executives needed straightforward, actionable intelligence to swiftly inform strategic decisions.
Solution:
Implemented a Generative AI-powered Business Intelligence (BI) Co-pilot, enabling users to ask natural language questions—such as "Average unified cane bagasse per harvest year"—to instantly generate precise analytics, detailed tables, and visualizations, without technical expertise.
BPC for SMBs
A U.S.-based startup aimed to create an open SMB marketplace providing standardized, data-driven business valuations and comprehensive growth resources. They faced challenges integrating disparate data sources like BizBuySell, census statistics, third-party places data, and Airbnb listings.
Solution: Utilizing Findability.AI's Agentic Workflow Engine , businesses and Airbnb properties were segmented into five clusters based on factors including population class, credit scores, employees, expenses, and area prosperity. Valuations combined sales volumes and cluster weightage.
Business Valuations
Challenge:
A dynamic U.S.-based tech startup sought to build an influential open marketplace for SMBs, needing robust, standardized, and data-driven valuations across 11 business categories.
Solution:
Deployed Findability.AI’s sophisticated unsupervised machine learning to classify businesses into 5 distinct clusters based on criteria such as population, credit ratings, employee count, and expenses, enabling precise valuations through weighted sales analytics.
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Pharma R&D Document Processing
Challenge:
Takeda Pharmaceutical, ranked as the 23rd largest globally, faced the time-consuming challenge of manually verifying lab test results for each batch against standard specifications. This critical yet manual process was prone to human errors and was an inefficient use of their scientists' and engineers' valuable time.
Solution:
Business Process Co-Pilot™: an innovative solution leveraging NLP for automated data extraction, comparison, and analysis directly from documents. This cutting-edge technology ensured 100% accuracy in test report verification, a feat previously unattainable with manual processes.The impact was immediate and significant—scientists and engineers at Takeda were now free to focus on more strategic tasks, confident in the knowledge that the verification process was error-free. Moreover, with the algorithm being pre-trained on documents, the Business Process Co-Pilot™ was fully operational from day one.
Are you lacking the tools and ability to accurately predict what will happen and what actions to take in your business? The Findability Platform's AI-driven Enterprise Forecasting conquers these challenges with exceptional precision and automation
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Leveraging the unique capabilities of AI in the Findability Platform with our custom Business Process Co-Pilots, our customers harness the power of Natural Language Processing (NLP) and Generative AI to streamline complex business operations across applications and Industries
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Use Cases Of Our Products
Enterprise Forecasting
Challenge
A premier HVAC solutions provider in North America aimed to refine inventory planning and enhance sales predictions across more than 360 locations. The complexity was heightened by a diverse product range exceeding 6,600 SKUs, where stock-outs were leading to elevated warehousing and holding expenses.
Solution
To address this challenge, a specialized forecasting solution was engineered, leveraging both machine learning and deep learning algorithms. These techniques were combined in an ensemble approach to achieve superior accuracy over traditional time-series forecasting methods, offering a strategic advantage in inventory management and sales forecasting.
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Challenge
A top-tier microelectronics component manufacturer aimed to refine SKU-level pricing strategies for trade sales. Their existing price prediction algorithm was plagued by bugs, leading to extended processing times. The goal was to suggest price points that enhance the chances of winning transactions, thereby maximizing revenue without sacrificing profit margins.
Solution
Findability Sciences deployed its machine learning technology to analyze historical data on revenue, quantities, price points, deal success rates, and forecasted demand. This enabled the recommendation of optimal price points for each SKU.
A Top 5 retailer requires digital analytics for 4000 feature releases annually
Their analysts would require 8 weeks to provide analytics on the impact created by a website feature release. These were manually computed, based on just a differential between impressions and conversions. The FS incrementality computation included seasonality, attribution, and statistical significance. Business users could gain instant insights through a conversational interface. Additionally, forecasts were generated with a 22% uplift compared to internal accuracies for all product conversions to detect anomalies after a release.
Forecasting of 8 real estate parameters for 24 months with over 90%. accuracy
The biggest challenge for a real estate asset management company in the US was forecasting market conditions for investment and divestiture decisions. By forecasting rent, occupancy, and value with over 90% accuracy for 24 months, the company was able to use the forecasts for making financial and investment decisions. Additionally, an economic downturn forecast was conducted to determine the probability of a recession in 6 months, 12 months, and 24 months with 94% accuracy.
Propensity predictions indicate the likelihood of an individual to perform a defined action (buy, buy again, churn, etc.), which enable businesses to grow and retain revenue by engaging with the right customers, leads, or audiences at the right time. To get accurate propensity predictions, you need a good propensity model.
RS-11 is a web-based platform that serves the community of Small and Medium Business Owners by being their go-to platform for knowing the valuation of their business, a marketplace for buy-sell listings, and serving as their Business Process Co-Pilot (BPC) for a large variety of their day to day needs of marketing, contracting and supporting their daily business operations.
Business Process Co-Pilots
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Governance, risk management and compliance (GRC) is the term covering an organization's approach across these three practices: governance, risk management, and compliance.
The first scholarly research on GRC was published in 2007 where GRC was formally defined as "the integrated collection of capabilities that enable an organization to reliably achieve objectives, address uncertainty and act with integrity."
Automated creation of Comprehensive Annual Review and Revolving Credit Report
A Fortune 500 bank that provides credit to large enterprises worldwide.
The bank used external consultants to manually create Comprehensive Annual Reviews (CAR) and Quarterly Credit Reports for thousands of enterprises.
Using Findability Sciences Business Process Co-Pilot, information was extracted from 10-K/10-Q-reports, Revolving-Credit Applications and the Web. Analyst commentary was generated with a custom-trained LLM.
BPC is saving the bank thousands of hours of report preparation effort by automating report generation and eliminating all human errors.
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A global dental surgical implements manufacturing company headquartered in Europe, wanted to automate the preparation of FDA's 510(k) regulatory forms. Form 510(k) preparation is necessary for launching any new device or implementing changes to an existing one. Form preparation tends to be tedious, expensive, and time-consuming.
We have developed a BPC solution tailored for 510(k) form filling and submission. Our technology streamlines data entry, validation, and submission processes ensuring accuracy and compliance with FDA requirements.
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Challenge
Takeda Pharmaceutical, ranked as the 23rd largest globally, faced the time-consuming challenge of manually verifying lab test results for each batch against standard specifications. This critical yet manual process was prone to human errors and was an inefficient use of their scientists' and engineers' valuable time.
Solution
Business Process Co-Pilot™: an innovative solution leveraging Natural Language Processing (NLP) for automated data extraction, comparison, and analysis directly from documents. This cutting-edge technology ensured 100% accuracy in test report verification, a feat previously unattainable with manual processes
The impact was immediate and significant—scientists and engineers at Takeda were now free to focus on more strategic tasks, confident in the knowledge that the verification process was error-free. Moreover, with the algorithm being pre-trained on documents, the Business Process Co-Pilot™ was fully operational from day one.
From feasibility studies and planning to implementation and monitoring, we'll guide you through every step of your renewable energy project. Our expert team will ensure seamless execution and maximize the efficiency and effectiveness of your renewable energy initiatives.
RS-11 is a web-based platform that serves the community of Small and Medium Business Owners by being their go-to platform for knowing the valuation of their business, a marketplace for buy-sell listings, and serving as their Business Process Co-Pilot (BPC) for a large variety of their day to day needs of marketing, contracting and supporting their daily business operations.
The BPC has been developed using advanced Gen-AI capabilities through a custom LLM, which delivers a wide variety of functionality through a simple, intuitive yet powerful chat-based interface designed to serve millions of SMBs.
Industries We Serve
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Optimize inventory planning and enhance forecasting accuracies. Our multi-algorithmic approach has proven effective in reducing stock-outs and improving prediction precision for a diverse range of SKUs across multiple locations
Demand forecasting, price optimization, and personalized recommendations, leading to increased efficiency and sales. We empower retailers to anticipate market trends, manage inventory smartly, and make data-driven strategic decisions
Forecast risk, predict payment propensities, and manage customer churn. Business Process Co-Pilots for drafting Credit Approval Reports and Debt Collections. Governance, Risk and Compliance BPC for stringent regulatory environment
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Enhance audience engagement and advertising revenue by offering personalized content suggestions. Understand and predict audience preferences, leading to significant improvements click-through rates
Business Process Co-Pilots for pharma and bio industries, supporting research and development efforts through document and data analytics. Streamline operations, improve research outcomes, and ensure that businesses remain competitive
Forecasting for operation's room utilization, Business Process Co-Pilots for FDA approvals, Customer Service Chatbots. Business Process Co-Pilots for pharma and bio industries, supporting research and development efforts through document and data analytics
Customers We Work With
At Findability Sciences, we believe in the power of collaboration to unlock the full potential of AI. Our partner ecosystem is a vibrant community of innovators and industry leaders, all committed to transforming the future of business through cutting-edge artificial intelligence solutions.
