See how Skim AI customers are achieving sustainable growth with AI and Machine Learning

Skim AI has helped companies of all shapes and sizes build, maintain, and grow custom AI and ML solutions to their business problems. Take a look at how some companies are streamlining operations and expanding with AI in hand and the Skim AI team by their side.

Unlock a world of potential with AI at your side

Saving hours of editorial time in news media

NITL - News In Three Lines partnered with Skim AI to build an AI model that helps aggregate daily news from over 500 sources and deliver it in three lines to readers across the globe. Their custom AI model saved their editorial team hours of manual work each week.

Cutting costs and shaving a week off post-production in photo & film

Sebring Revolution partnered with Skim Ai to automate a huge part of their multidimensional media post-production process—enabling the team to deliver work a week faster than before.

Helping acquire new users with smarter capabilities in crypto & blockchain

Grifin partnered with Skim Ai to build out AI models that enabled them to classify transactions, match transaction data to public companies, and identify subsidiary companies of public companies for more relevant investing.

Providing a more accurate news service spanning across languages in news media

NewsPrime partnered with Skim Ai to serve more specific content to users, as well as summarize and translate the news.

Understanding market sentiment faster and more accurately for crypto

Big Data Protocol partnered with Skim Ai to process social media data around crypto assets, NFTs, and more, across Twitter, Telegram, and Discord for a better understanding of market sentiment.

Upping online course engagement and completion rates in edTech

Ahura AI partnered with Skim AI to build out face mapping and browser scraping AI enabling them to provide AI EdTech solutions that increase Elearner productivity, engagement, and course completion rates.

Entrepreneurs, startups, and enterprises making the most of AI and ML with Skim AI

Join the 20+ companies working with Skim AI to build smoother, easier, more functional businesses.

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What Skim AI customers have to say

<>How to Build Your Enterprises LLM Stack: Our 4-Tool Stack + Framework

<>Adobe AI Video Wars: Adobe vs OpenAI’s Sora – AI&YOU #51

<>Stability AI Company Profile: How to destroy a well funded startup + VC due diligence – AI&YOU #52

<>Top 5 LLM API Integration Strategies and Best Practices for Enterprise AI

<>The Top 5 Open Source LLMs for Enterprise AI

<>10+ Statistics and Facts to Understand Stability AI’s Rise & Fall

<>How the Stability AI CEO Set a Once Promising Startup on Fire

<>What is Stable Audio 2.0? + the Tech Behind Stable Diffusion’s Generative AI Text-to-Audio Model

<>How Adobe’s New AI Tools Dramatically Improves Video & Marketing Workflows

<>10+ (Generative AI) Video Marketing Statistics & Facts You Should Know

<>Text-to-Video Wars: Adobe AI vs OpenAI’s Sora

<>Anthropic Profile: Why we love Claude 3 + VC Due Diligence – AI&YOU#49

<>Our 4-Tool AI Stack for Content Creation – AI&YOU#48

<>10 AI Quotes from Anthropic CEO Dario Amodei

<>Anthropic & Claude 3 Company Overview: Due Diligence for VCs and Founders

<>ChatGPT vs Claude 3: Which LLM is Better?

<>How to Build Your Content Creation Process with 4 AI Tools: ChatGPT, SurferSEO, Perplexity & MidJourney

<>How to Create the Perfect Blog Outline with AI: Surfer SEO + ChatGPT

<>Top 5 AI Tools for Content Creation

<>AI&YOU#47: 5 Ways Endless, Customizable AI Content Changes Marketing + How to Spot Deepfakes

<>5 Ways Endless, Customizable AI Content is Changing Marketing

<>5 Deepfake Stats You Need to Know for 2024

<>How to Detect AI-Generated Images or Deepfake Videos

<>AI&YOU #46: Pika Labs Profile + AI Lip Syncing With ElevenLabs Partnership

<>Pika Labs Overview: Industry Impact, Customer Base, Funding Rounds

<>10 Statistics & Facts about Pika Labs

<>Pika Labs and ElevenLabs Lip-Syncing Audio Partnership Ushers in Future of AI Generated Video

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AI and ML

Frequently Asked Questions

What are some common AI use cases?

Text-based solutions often revolve around a few general themes that are often done by knowledge workers: (1) information classification/prediction problems/data labeling (labeling information, often to power a BI Dashboard or software solution) (2) information extraction: capturing specific types of information from larger text, like a news article, neatly in a database, (3) Sentiment understanding (4) Recommendation systems, clustering, and cohort analysis (5) Translations (5) Autocomplete, generating text.

What are AI use cases in daily life?

Daily AI use cases are: helping to tag and itemize your inbox, helping to organize your time and manage your team’s agendas, and streamlining daily tasks so you can focus on big-ticket items.

What are machine learning use cases in marketing?

Common machine learning use cases in marketing are helping sales and marketing teams to pre-qualify leads, automating sales and marketing flows, helping to identify user personas, and tailoring marketing materials to match persona problems or jobs-to-be-done.

What are some machine learning use cases in software development?

Common use cases for machine learning in software development are: predicting maintenance needs, detecting anomalies, analyzing sentiment, developing interfaces, analyzing images and videos, and detecting fraud.

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