A global provider of enterprise AI solutions, Findability Sciences, launched Findability.Inside—a suite of embeddable, ready-made AI solutions that promises agile and repeatable deployments.
Findability Sciences says that companies can easily integrate AI technology into their existing products and solutions while unlocking data-driven insights and business efficiencies.
Digital transformation is on a lot of minds this year as we're learning from a global pandemic that pushed automation, IoT, machine learning, and AI to the forefront of needed operations. And while many companies understand the importance of these technologies, they struggle with their adoption—especially when it comes to AI.
According to Findability Sciences, outsourcing one-off solutions have worked and do work, but the demand is growing for a quickly deployable and repeatable solution as more and more automated and data-focused business approaches are introduced every day.
“Our advancements in technology and partnerships with leading global brands puts us in a unique position to effectively address exponentially growing market and customer needs. We look forward to what today’s enterprises will achieve tomorrow with AI-powered by Findability.Inside. It’s a game-changer for expanding digital transformation for companies large and small.” — Anand Mahurkar, Founder & CEO of Findability Sciences.
Findability.Inside allows enterprises to embed the AI-core of the company’s proprietary flagship offering—Findability.AI—into their existing products. Using the Findability.AI-Core, which harnesses computer vision, machine learning, and natural language processing, Findability.Inside will power companies with AI at the back end to deliver a smarter, enhanced, and seamless experience in the solution’s native environment for end-users.
Companies can use Findability.Inside to add AI technology to their offerings for price optimization, prediction & forecasting, segmentation & targeting, sales prospecting, customer service, and more. The completely customizable solutions can help companies gain an AI edge over their competitors.
Findability.Inside features include but are not limited to:
- Machine Learning:
- Predictions and forecasting
- Insights from edge-IoT devices
- Efficacy in online advertising
- Natural Language Processing:
- Auto-summarization for scanned documents at an industrial scale
- Video meeting recordings
Industry-leading enterprises are already adopting Findability.Inside with the following solutions:
Mobile DSP operators can improve the real-time bid-optimization process. A Silicon Valley-based client embedded its DSP with Findability.Inside’s predictive AI technology to predict the propensity-to-click and optimize the bid price for impressions. The client can now offer competitive rates for CPC and CPM and the DSP users witnessed a 20% increase in CTR.
Solutions created from Findability.AI’s extractive NLP summarization algorithm can generate automatic summaries from text-heavy documents. The technology is able to analyze keywords and context to extract relevant excerpts for end-users. Findability.Inside built an NLP-powered, add-on application that provides text summarization of scanned documents for a global leader in document imaging products to integrate with its scanner software through API.
India’s leading manufacturer and distributor of FMCG products provide English education to children via voice bots. Findability Sciences provided a voice bot with the voice of an 8-year-old child by applying advanced machine learning models trained using voice samples of a child.
Natural language processing and natural language understanding algorithms enabled the voice bot to decipher alternative pronunciations and mispronunciations of audio and provide dictionary meanings in the brand voice of a child that the caller could instantly relate to.
These are just a few examples of what Findability Sciences can offer companies looking to start their AI adoption. If you don't know where to start, Findability Sciences can help you find the solution that's right for you.