Searching for the relevant channel to advertise can be a huge hindrance for marketers and agencies offering native ads. YouTube advertising algorithms seem to be the industry standard, which are far from being perfect. Even with clever algorithms at work, the existing proprietary neural networks often fail to distinguish ad-friendly and non-friendly content, depriving content creators of the money they believe they're entitled to earn.

That is a marketing problem that AdHive seeks to fix by allowing mass placement of ads on influencer channels across various video platforms, efficiently and quickly, saving advertisers time spent with selection and hopefully keeping some money in the overall budget. Advertisers can launch their campaigns on multiple channels neither wasting time looking for suitable medias and feeds, nor negotiating for the placement conditions.

"AdHive lets advertisers go global effortlessly, and influencers get what they really deserve, able to decide the topics they prefer, and the advertisers they consider trustworthy," says AdHive co-founder Dmitry Malyanov. "There's no other technology these days capable of what AdHive does. Native ads will become similar to programmatic, that's what it's all about. We're two years ahead of our time, and we're going to drive the market. AI-powered native video-advertising is going to be the next Google Thing in the industry - deal with it."

Malyanov takes a bold position, and if he is right, then his startup could be in-line for reach riches. In 2016, over $190 billion was spent in advertising in the U.S. alone. Tapping into even a small portion of that exorbitant figure would be enough for any small business to not only survive, but thrive.

The way Malyanov's platform works is that tasks are created by advertisers, also known as 'campaigns', which are performed on AdHive platform. The advertiser decides the deadline, campaign period, target audience - including their age and gender - as well as the region and the budget. Once the campaign becomes available, the bloggers that fit the advertisers' audience and task description the most will be able to select the suitable "tasks" as proposed by artificial intelligence (AI), and start working on them. 

The AI involved in the process automatically checks whether the task has been completed successfully. Malyanov says that the AI will also send statistics to the advertiser, such as the total viewership of the ad and audience interaction.

All industries have a need to innovate in a rapidly changing technological environment, including the advertising industry. With ad blockers and people just glancing over advertisements in general, AdHive seeks to lean on AI to change the game a bit and take a fee on the billions of dollars spent around the globe on an annual basis.