CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
Koah raises $5M to bring ads into AI apps

From TechCrunch

By Anthony Ha

September 7, 2025

Koah raises $5M to bring ads into AI apps

Koah raises $5M to bring ads into AI apps

How can startups and developers actually monetize their AI products? A startup called Koah, which recently raised $5 million in seed funding, is betting that ads will be a big part of the answer.

If you spend any time online, there’s a good chance you’ve seen plenty of ugly, AI-generated ads — but few to none when interacting with AI chatbots. Koah co-founder and CEO Nic Baird argued that will inevitably change.

“Once these things get outside San Francisco, there’s only one way to make [them profitable] on a global scale,” Baird told TechCrunch over Zoom. “It’s happened time and time again.”

To be clear, Koah isn’t trying to introduce advertising to ChatGPT. (That’s probably something OpenAI will do for itself one day.) Instead, it’s focused on the “long tail” of apps that are built on top of the big models, including apps with a user base outside the United States.

Baird suggested that when consumer AI products were first becoming popular, it made sense for them to focus on “wealthier, prosumer” users and to monetize those users by converting some of them into paid subscriptions.

But now someone could build an AI app that reaches millions of users in Latin America, and those users are “not paying 20 dollars a month,” Baird said. So the developer could struggle to bring in subscription revenue, but “they have the same inference costs as everyone else.”

A sample Koah ad for acne wash
Image Credits:Koah

Baird suggested that by successfully figuring out how to make advertising work in AI chats, Koah could actually unlock more potential for “vibe coded” apps that might otherwise be “too expensive to operate at scale” unless their creators raise VC funding. 

In fact, Koah is already serving ads in apps like AI assistant Luzia, parenting app Heal, student research tool Liner, and creative platform DeepAI. Its advertisers include UpWork, General Medicine, and Skillshare.

These ads are marked as sponsored content, and they’re supposed to appear at relevant moments in your chats. For example, if you’re asking for advice about startup business strategies, the app could show you an ad from UpWork offering to connect you with freelancers who could work with your company.

When Koah talks to publishers, Baird said many of them believe that ads simply don’t work in AI chats, while others have found limited success with AI offerings from older adtech companies like AdMob and AppLovin.

But Baird said Koah is 4x to 5x more effective, delivering clickthrough rates of 7.5%, and with early partners earning $10,000 in their first 30 days on the platform. He added that Koah achieves all that while having less of a detrimental effect on user engagement — though his ultimate goal is for Koah ads to feel relevant enough that they actually improve engagement.

Image Credits:Koah

Koah’s seed round was led by Forerunner, with participation from South Park Commons and AppLovin co-founder Andrew Karam. 

Forerunner partner Nicole Johnson echoed many of Baird’s points when discussing the investment over email. She said that when it comes to AI, monetization is “the elephant in the room amongst builders and investors.” And while the “going standard for monetizing consumer AI services is subscription,” focusing exclusively on subscriptions can “quickly lead to fatigue and churn.”

“Multiple revenue models in Consumer AI are inevitable, and if the past decades of internet services are any indicator, ads will play a major role,” Johnson said. In her view, Koah is “building the essential monetization layer for consumer AI services.”

As for where AI chats fall in the larger advertising ecosystem, Baird and his team have found they represent the middle of the purchase funnel — somewhere between the awareness raising of an Instagram ad and the actual purchase that might be driven by ads in Google search.

“People are not transacting on AI — they’re just not,” Baird said. They might ask a chatbot for recommendations or product details, but then “they’re going to Google to buy.” So part of the challenge for Koah is figuring out the best ways to capture a user’s “commercial intent.”

“It’s not interesting to me to try to figure out, ‘How do we show a display ad in AI?” Baird said. Instead, he wants to understand, “What is the user looking for and how do we give that to them?”

View original article on techcrunch.com

Most Recent

No agenda, no rush, no leaving San Francisco: Benchmark’s partners on investing in a frenzied market

Benchmark may have grown its funds and swapped out some partners, but onstage the five who are left sounded like friends who just happen to be running one of the Valley’s most storied firms

Oct 18, 2026

Microsoft reveals cutting-edge MAI-Base-2 model with 2T parameters

Microsoft Corp. has developed a new large language model that it says is significantly more efficient than leading open-source alternatives. The company’s artificial intelligence research group detailed the algorithm on Thursday. MAI-Base-2 is not a full-fledged LLM but rather a base model, a kind o

Oct 16, 2026

Reflection AI open-sources Beam’s weights, post-training recipes

Startup Reflection AI Inc. today made the weights of Beam, its first large language model, available on Hugging Face. The company also released technical resources that will enable developers to customize the algorithm. Originally introduced last week, Beam is one of the industry’s most advanced ope

Oct 16, 2026

What to expect during Dell’s ‘Cyber Resilience’ event: Join theCUBE Oct. 27

Data protection and cyber recovery are foundational to enterprise AI. See how Dell is rethinking resilience at the theCUBE's Oct. 27 summit.

Oct 16, 2026

Similar Posts

As AI content floods the internet, Pangram raises $9M to detect it

Pangram has raised $9 million to scale its AI detection software. The startup has also released a new AI text detection model, Pangram 4, and an AI image detection model in research preview.

Jul 29, 2026

OneScreen.ai brings startup ads to billboards and NYC’s subway

When Alex Ewing was a kid growing up in Purcell, Oklahoma, he knew how close he was to home based on which billboards he could see out the car window. Now, as the CEO of OneScreen.ai, he’s helping startups like fintech Ramp and technical recruiter Karat advertise on billboards and beyond. “I think billboards are […]

May 30, 2024

Wispr Flow raises $30M from Menlo Ventures for its AI-powered dictation app

CEO Tanay Kothari noted that the startup will soon achieve profitability at the current rate of growth. Initially, he didn't want to raise money, but he worried that Big Tech players with a massive distribution advantage could be a risk to the company. He wanted to rapidly multiply the company's revenue and reach and decided to take the investment.

Jun 24, 2025

Eppo lands new cash to grow its app, website and AI experimentation business

The AI industry continues to release tons of new models, and companies looking to stay competitive are racing to adopt them for their purposes. In fact, nearly 10% of businesses plan to spend a whopping $25 million this year on AI initiatives, according to tech consulting firm Searce. But while lots of money is being spent on AI, it’s unclear the ROI is there. Half of all AI leaders aren’t sure how to calculate or demonstrate the value of AI projects, according to Gartner. Ex-Airbnb data scient

Aug 20, 2024