OffDeal is the ultimate exit strategy for small businesses. Their AI-powered platform simplifies the process of finding the right buyer and negotiating favorable terms. Small businesses are the unsung heroes of the American economy, employing nearly half of America’s workforce and making up 44% of the country’s GDP. But when it’s time for small business owners to sell their companies, their options are limited.

Some go to small business brokers or pass the business on to their children, while others just close up shop altogether. Large corporations traditionally use investment banks, like Goldman Sachs, to get acquired for the best price, but Wall Street giants don’t waste their time on acquisitions less than $25 million.

Founded by a former investment banker, Ori Eldarov, and a former Meta engineer, Alston Lin, OffDeal is trying to bridge the gap by automating the work of investment banks to offer traditional M&A services to millions of small businesses.

The startup, part of Y Combinator’s Winter 2024 batch, created AI agents to discover good businesses to acquire, match them with institutional buyers, and create pitch decks to sell them. But customers never see the software. They only interact with human advisers, who work more efficiently thanks to OffDeal’s software product. That’s the pitch anyway.

“The most important transactions in our lives, they all involve a human,” said Eldarov. “The big mistake that people before us have made is that they delegate everything to Python code.”

OffDeal can help a small business find a buyer, or a buyer to find small businesses. In a demo, Eldarov showed how its AI agents can help with both.

To help a small business find a buyer, Eldarov input the company’s website, revenue, and number of employees into a digital form. Then OffDeal’s agent scraped the company’s website for info about its products, services, and end markets, ultimately producing 150 eligible buyers. The agent also produces information about those buyers’ previous acquisitions and other factors that make it a good match, and offers a way to quickly contact them.

As for buyers looking to use OffDeal to find acquisitions, the startup created a database of 2 million American small businesses that could be looking for an exit in the coming years. It uses similar AI agents to match buyers with small businesses here.

So far, OffDeal says it’s currently under contract with nine institutional buyers looking to use its services, with over 250 others on a waitlist.

OffDeal’s software looks good enough to be a platform itself, but Eldarov insists it’s not. The CEO said he considered building software for small business brokers but figured that adoption would be too slow. Instead, he decided to build his own advisory firm using the product — then compete with them.

But what if OffDeal’s AI agents hallucinate and mess up a major part of the deal? OffDeal’s CTO, Lin, admits it’s not exactly a solved problem in the AI industry but has gotten much better with improvements to underlying models (OffDeal uses OpenAI’s GPT-4 models). That’s why OffDeal and many AI companies have taken the approach of having AI work as a copilot instead of working independently.

OffDeal charges between 5% and 10% of the transaction value for its services, a similar rate to what traditional investment banks charge. Eldarov is betting his AI-powered advisers will be able to close more deals than other small business brokers.

Using AI to automate the grunt work of low-level employees is not necessarily a new idea (see Harvey AI for the legal world or Sedric for compliance) but these startups continue to raise funds across various industries.

OffDeal tells said it recently raised a $4.7 million seed round, led by AI-focused venture firm Radical Ventures. The startup — which charges between 5% and 10% of the transaction value for its services — plans to use this funding to hire more advisers and invest in marketing.

You might not know Viggle AI, but you’ve likely seen the viral memes it created. The Canadian AI startup is responsible for dozens of videos remixing the rapper Lil Yachty bouncing onstage at a summer music festival. In one video, Lil Yachty is replaced by Joaquin Phoenix’s Joker. In another, Jesus seemed to be hyping the crowd up. Users made countless versions of this video, but one AI startup was fueling the memes. And Viggle’s CEO says YouTube videos fuel its AI models.

Viggle trained a 3D-video foundation model, JST-1, to have a “genuine understanding of physics,” as the company claims in its press release. Viggle CEO Hang Chu says the key difference between Viggle and other AI video models is that Viggle allows users to specify the motion they want characters to take on. Other AI video models will often create unrealistic character motions that don’t abide by the laws of physics, but Chu claims Viggle’s models are different.

“We are essentially building a new type of graphics engine, but purely with neural networks,” said Chu in an interview. “The model itself is quite different from existing video generators, which are mainly pixel based, and don’t really understand structure and properties of physics. Our model is designed to have such understanding, and that’s why it’s been significantly better in terms of controllability and efficiency of generation.”

To create the video of the Joker as Lil Yachty, for instance, just upload the original video (Lil Yachty dancing onstage) and an image of the character (the Joker) to take on that motion. Alternatively, users can upload images of characters alongside text prompts with instructions on how to animate them. As a third option, Viggle allows users to create animated characters from scratch with text prompts alone.

But the memes are only a small percent of Viggle’s users; Chu says the model has seen wide adoption as a visualization tool for creatives. The videos are far from perfect — they’re shaky and the faces are expressionless — but Chu says it’s proven effective for filmmakers, animators and video game designers to turn their ideas into something visual. Right now, Viggle’s models only create characters, but Chu hopes to enable more complex videos later on.

Viggle currently offers a free, limited version of its AI model on Discord and its web app. The company also offers a $9.99 subscription for increased capacity, and gives some creators special access through a creator program. The CEO says Viggle is talking with film and video game studios about licensing the technology, but he also is seeing adoption amongst independent animators and content creators.

On Monday, Viggle announced it had raised a $19 million Series A led by Andreessen Horowitz, with participation from Two Small Fish. The startup says this round will help Viggle scale, accelerate product development and expand its team. Viggle tells Dakidarts that it partners with Google Cloud, among other cloud providers, to train and run its AI models. Those Google Cloud partnerships often include access to GPU and TPU clusters, but typically not YouTube videos to train AI models on.

Training data

“So far we’ve been relying on data that has been publicly available,” said Chu, relaying a similar line to what OpenAI’s CTO Mira Murati answered about Sora’s training data.

Asked if Viggle’s training dataset included YouTube videos, Chu responded plainly: “Yeah.”

That might be a problem. In April, YouTube CEO Neal Mohan told Bloomberg that using YouTube videos to train an AI text-to-video generator would be a “clear violation” of the platform’s terms of service. The comments were in the context of OpenAI potentially having used YouTube videos to train Sora.

Mohan clarified that Google, which owns YouTube, may have contracts with certain creators to use their videos in training datasets for Google DeepMind’s Gemini. However, harvesting video from the platform is not allowed, according to Mohan and YouTube’s terms of service, without obtaining permission from the company.

After pointing out that Chu’s earlier comments were on the record and asking for a clear statement on the matter, Viggle’s spokesperson confirmed in their reply that the AI startup trains on YouTube videos:

Viggle leverages a variety of public sources, including YouTube, to generate AI content. Our training data has been carefully curated and refined, ensuring compliance with all terms of service throughout the process. We prioritize maintaining strong relationships with platforms like YouTube, and we are committed to respecting their terms by avoiding massive amounts of downloads and any other actions that would involve unauthorized video downloads.

We reached out to spokespeople for YouTube and Google, but have yet to hear back.

The startup joins others using YouTube as training data and thus operating in a gray area. It’s been reported that lots of AI model developers — including Nvidia, Apple and Anthropic — use YouTube video transcriptions or clips for training. It’s the dirty secret in Silicon Valley that’s not so secret: everybody is likely doing it. What’s actually rare is saying it out loud.