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A couple of days ago, AIM released the following PR announcement regarding winning ITV (UK) as a customer: https://www.ai-media.tv/knowledge-hub/insights/ai-media-and-itv-announce-landmark-partnership/
ITV is the UK’s biggest commercial broadcaster – so think a Channel 7 or 9 here in Australia, scaled to the UK population. Even large-ish customer wins are no longer price-sensitive for this company, so there’s no associated ASX announcement. It might be worth following Ai-Media’s LinkedIn or Twitter accounts for those who follow this company.
A couple of points that were of note to me:
Understanding the use cases of a company’s products and services can be challenging when we don’t interact with them directly. I thought I'd highlight a recent use case of a type of event Ai-Media plays a role in with their captioning products and services.
AWS recently hosted their annual re:Invent 2024 event in Las Vegas. I’ve been watching a couple of the keynotes - mainly around the new AI models they're launching. It was a bonus to be able to catch some of the live captioning provided by Ai-Media’s LEXI AI captioning services. The quality is very good and with delays of just 2-3 seconds.
The event videos are available on Youtube, and you can catch glimpses of the captions at certain camera angles to evaluate their quality: https://www.youtube.com/watch?v=LY7m5LQliAo. Turning on the captions in Youtube will display the LEXI generated captions with all the timing synced up - with no delay.
To put the scale and complexity into perspective, re:Invent had 70k attendees, with multiple simultaneous stages and overflow rooms, live streaming online and over Youtube. Beyond the main stages, the event featured smaller presentations. In fact the conference had 40+ rooms with in-room live captioning.
These types of events are huge, with lots of competing demands from large in-person crowds and live-streaming viewers worldwide. Lots of different presentations going on simultaneously, and very high stakes. And for Ai-Media’s range of encoders, iCap cloud and LEXI AI captioning service - this is their bread-and-butter.
In fact, AWS is now lugging around 51 Ai-Media encoders to some of their biggest events:
Hopefully this provides an idea of the types of areas Ai-Media is playing in.
Sources:
There's a lot about AI-Media that is easy to miss, so I wanted to try and elucidate the key aspects of the business, its offering and the competitive advantages it has -- as informed by today's conversation with co-founder and CEO Tony Abrahams.
But, to be honest, i'm not confident i've got things right so please correct me if you think I'm off base.
First, as @mushroompanda has already said, they aren't building AI models themselves. AI-Media’s technology relies on APIs (Application Programming Interfaces) to connect their software with these external AI engines.
AIM's products provide context to AI engines, such as metadata from broadcast streams (e.g., identifying speakers, locations, or specific program segments). This customization improves the accuracy of AI-generated captions by using additional data.
Their competitive edge comes from effectively embedding these AI models into a unique, customer-focused delivery system which integrates into existing workflows. It's more about ingesting audio/video feeds, extracting the relevant information, and sending it back in real-time so it cam be inserted/overlaid into the broadcast.
The acquisition of EEG (a provider of encoding hardware) was really a pivotal moment for AIM, giving it control over the critical hardware needed to feed audio data into AI models, allowing seamless integration with their cloud-based captioning services.
The total addressable market for AI language services is vast, estimated at around $70 billion annually. Tony pointed out that AI-Media’s current focus—live speech-to-text and live captioning—represents just a small fraction of this market, approximately 1%.
At the moment, around 90% of AI-Media’s operations are centered on live captioning and transcription, primarily driven by their LEXI solutions. However, Tony stressed that this is just the tip of the iceberg, indicating that the company is still in the early stages of tapping into the broader market potential.
A significant portion of the market opportunity lies in recorded media, which accounts for about 25% of the total market. This includes transcription and captioning for pre-recorded content like TV shows, movies, and online videos.
There are also considerable opportunities in broader AI language services such as voice dubbing, audio description for visually impaired audiences, and other multilingual services. This segment, which Tony identified as the larger $69 billion part of the market, involves using AI to handle voice processing, translations, and enhancing accessibility through audio descriptions.
The market for AI language services extends beyond broadcasting and includes government, enterprise, education, and entertainment sectors. Each of these industries has unique needs for language services, from live captioning and translations to complex workflows
Tony highlighted that one of the key drivers of market growth is the reduction in costs associated with AI-powered services compared to traditional human-based models. For example, automated audio description, which traditionally required 25 hours of human labor per hour of content, can now be fully automated, significantly reducing costs and making these services accessible to a broader range of content creators.
He also said that regulatory requirements for accessibility, such as mandatory captioning and audio descriptions, are increasingly pushing broadcasters and content providers toward adopting AI solutions. This trend further expands the market opportunity for AI-Media’s products.
As mentioned at the results briefing (or potentially earlier?) Tony outlined ambitious financial targets, including reaching $150 million in revenue and $60 million in EBITDA within five years.
And he said they wouldn't need to raise capital to pursue this -- all the pieces are in place and growth can be driven by organic cash flow.
He certainly has his money where his mouth is, recently acquiring 5m more shares to lift his stake to almost 17% of the business (he bought at 31c -- not a bad trade so far!).
Anyway, it seems that AI-Media is a genuine market leader in a fast growing market that offers increased service and lower cost for its customers. It's well capitalised, cash flow positive, founder-led and expecting to 15x EBITDA in the next 5 years.
Shares are on ~27x EV/EBITDA
I don't presently hold in real life, but will be adding a watching position here on SM today.
The market seems to like what came out of the AGM.
Some positive highlights after skimming the ASX announcement: Technology revenue grew by 37% to $32.9m and the gross margin is impressive at 85%. Tech revenue now accounts for 50% of total revenue. Goal of 80% tech revenue by the end of 2025. Some of the hypergrowth US tech stocks I hold can't match this and their P\S ratio are eye-watering compared to AI-Media.
There's an ambitious but clear path to growth with a goal of $60m EBITDA in 5 years (Currently $4m).
There's definitely execution risk here although CEO Tony Abrahams thinks this is priced in already in the share price (bold statement, but anyway). They'd like to grow the Tech revenue by 35% annually over the next 5 years so there's no lack of ambition. Both R&D ($7m-$8m) and sales and marketing ($13m-$16m) costs have grown but not unreasonably so I think.
Certainly lots of potential, good strategic vision and outline. At the same time there are many things to watch out for along the way as the execution and other risks are by no means small. An EBITDA of $60m in FY2029 would make today's market cap of $150m seem very reasonable no matter how you choose to discount that back. Even with some inevitable setbacks between now and then you can easily find ways of justifying today's price I think.
The Strawman interview with the CEO a few months back was really great and informative so do yourself a favour and watch that if you're interested in the business
AIM CEO Anthony Abrahams has bought another $200,000 worth of AIM stock @ $0.80
Adding to his significant skin in the game.
CEO Tony Abrahams has purchased another 312,500 shares on market @$0.80 (value $250,275).
That’s about half a million dollars worth of shares this month from the CEO
The appointment of Otto Berkes and Brad Bender seems to be a great move, when you look at their CV's. These fellas have some decent experience, by the looks of things.
AI-Media appoints two US-based directors
AI-Media Technologies Limited (‘AI-Media’ or the ‘Company’) (ASX: AIM), a global technology provider of captioning, transcription and translation solutions, today announces the appointment of two new US-based non-executive directors, Otto Berkes and Brad Bender, completing its process of board renewal announced earlier in the year.
AIM Chair John Martin commented “A key priority was to strengthen the board’s expertise in advanced and emerging technologies and experience in scaling a global technology business. We were also seeking candidates with strong connections in the United States as this is a key growth area for us. We are delighted to announce that we have found two highly experienced US-based directors, providing the board with complementary and diverse additional skills in engineering and product development.”
Otto Berkes brings over 30 years of senior technology and business leadership together with over 15 years of director-level experience. An Xbox founder, Otto’s previous roles have included General Manager at Microsoft, Chief Technology Officer at HBO, where he led building HBO’s streaming services, and Chief Technology Officer at CA Technologies, where he drove the company’s technology strategy and innovation efforts. He was also CEO of HireRide, an end- to-end analytics-based hiring platform he created through both acquisitions and organic development. Otto has a BS in physics and an MS in computer science and electrical engineering. He is currently a non-executive director of Integral Ad Science (NAS: IAS), a global digital advertising measurement and optimization platform, and an advisory board member for IntelAgree, an enterprise-scale AI- enabled contract management system.
Brad Bender brings over 25 years of global product and management experience together with over a decade of director-level experience. As Vice President of Product Management at Google, Brad most recently led Google News and Search Ecosystems, delivering AI-driven initiatives serving billions of people
worldwide. Brad previously led Display and Video Advertising at the company, where he founded the Google Display Network and drove its growth to become a multi-billion-dollar business. Prior to Google, Brad was most recently a Vice President at DoubleClick. He has a BS from Cornell University, and currently serves as an independent board director of Entravision (NYSE:EVC) and an advisory board member for OutcomesX.
Alongside the appointment of Brent Cubis as non-executive director and Chair of the Audit & Risk Committee in July, we believe we now have a board with the expanded mix of skills and experience to steer AI-Media to its next stage of product development, growth and international expansion.
The appointment of Otto Berkes and Brad Bender is intended to take effect from 1 December 2024 and is subject to the Company obtaining shareholder approval for an increase to its aggregate remuneration of non-executive directors at its 2024 annual general meeting to be held on 27 November 2024. The Company will despatch is Notice of Meeting later today.
Media Release: https://announcements.asx.com.au/asxpdf/20240829/pdf/0676bss606c3jj.pdf
FY24 Annual Report: https://announcements.asx.com.au/asxpdf/20240829/pdf/0676bnpw5ms0lw.pdf
FY24 Presentation: https://announcements.asx.com.au/asxpdf/20240829/pdf/0676bzwbglkvw6.pdf
FY24 results were released today and once again the top line results were a yawn-fest with revenues growing by 7% to $66.2m. However, the real story lies beneath the surface, where the company’s dynamics are shifting. Ai-Media’s fast-growing Technology division (good co) contrasts with its declining Services division (bad co), leading to significant changes behind the scenes.
The company continues to recomposition itself from Services to Technology leading to increased gross margins
The positive trend in profitability continues
Technology revenue grew by 37% over the year and now run-rating at 52% of the group’s revenue and 68% of its gross profit. Ai-Media is rapidly transforming from a people-driven captioning service company into a caption technology and AI company. Management anticipates that Technology revenue will comprise 80% of the Group’s revenue by December 2025. If anyone needs a reminder of how well the Technology division has grown over the years, just take a look at the revenue chart below.
EEG was acquired by AI-Media in 2H FY21
This is one where I’ll need to go back and review my notes and old transcripts, but as my memory stands right now, there appears to be a distinct shift in management’s optimism during the conference call.
The key talking point was their “aspirational” five-year organic growth target: $150m in revenue and $60m in EBITDA. This translates to CAGR of 17.8% for revenue and 70.9% for EBITDA over five years. This is a significant leap from the single-digit top-line growth rates of recent years. However, it’s also quite attainable, given the rapid expansion of the Technology business, which now accounts for a much larger share of revenue and gross profit. Management believes they can achieve this by expanding beyond their core US broadcasting live caption market, targeting new geographies (with Europe and the UK as key areas), sectors (focusing on Government and Enterprise), and product offerings (including new AI-enabled language services).
The prevailing sentiment is that Ai-Media is positioned at the right time and in the right place. They provide the industry-standard captioning infrastructure used by US live broadcast companies, and there is surging demand for AI technologies to reduce captioning costs and extend reach, especially since the rise of generative AI tools like ChatGPT in recent years. The company has already demonstrated high-profile, high-stakes use cases for fully AI-generated live captions, such as during the recent Paris Olympics for broadcasters in the US (NBC in English and Telemundo in Spanish!) and Australia (Channel 9). Moreover, access to new large language models and machine learning advancements is making it increasingly feasible to develop additional automated services beyond traditional live captioning. Over the next 12 months, the company plans to roll out human-level language translations, voice dubbing, audio descriptions, topic models, and sound effect recognition.
In a recent, and super awesome, episode of Invest Like The Best with Gavin Baker, there’s a segment on “AI First” companies. It’s around the 56min mark: https://overcast.fm/+ABA27uWiTk8/56:00. I immediately thought about Ai-Media. They act as a thin wrapper around AI models (leveraging transcription services from Microsoft, AWS, and Google), delivering what feels like magic to their customers and not only going after software budgets but labour budgets. Gavin also asserts that although AI First companies are experiencing rapid growth, it’s very challenging to build long-term defensibility around their business models.
But this is where the comparison ends. Ai-Media isn’t an AI First business; it’s a labor-based company that has transformed into an AI business. The company dominates the North American live broadcast market, with its hardware and software encoders deeply embedded into their customer’s workflows. Additionally, Ai-Media still offers a labor component for customers who require that extra peace of mind. This integration provides a level of defensibility that the vast majority of pure AI First companies lack.
Despite the bump today, it’s still trading at trailing 1.4x sales and 34x Normalised EBIT. The market is still skeptical that a 30%pa growing Technology division with a 80%+ gross margin will become the vast bulk of the business going forward.
EDIT: I had a EBIT multiple wildly wrong
I covered my AIM thesis in this video with Mark Tobin at Coffee Microcaps:https://youtu.be/RtVN9C4VgEg?si=TeN2Yg31vueUCebx
But I'd be remiss not to call out the brilliant @mushroompandafor bringing AIM to my attention so I recommend reading his Straws. Like most of the market, I was asleep to the transition from a human based Services business to an infrastructure led Technology one until he pointed it out. On top of the transitioning business model, the financials are also muddied by an elevated amortisation bill from previous acquisitions. As @mushroompandapoints out, on a cash basis the business is already profitable and scaling very nicely.
Over the medium to longer term the key for AIM is to capture the growing pie of live captioning, not just convert their existing customers to higher margin Technology solutions. Given the cost of a human stenographer many uses cases were prohibitive and customers were generally those legislated to provide captioning for accessibility purposes. However with automated captioning now overtaking humans in quality at ~10% of the cost, it is opening up use cases away from traditional live television broadcast such as conferences, large events, places of worship, courts/tribunals and large enterprise meetings.
CEO purchased $1.5m worth of stock on market at $0.31 taking his holdings to 16.9%. https://announcements.asx.com.au/asxpdf/20240618/pdf/064nxhfbzh5rd9.pdf
Previous to this, around 1.5 years ago, he purchased $1m worth. https://announcements.asx.com.au/asxpdf/20221129/pdf/45j5m9b1sh00x3.pdf
The size of the purchase is not what you typically see in ASX microcaps.
I went back and watched the interview with CEO Tony Abrahams from 2 years ago. It’s amazing how much of it is still relevant today. Back then, it was a captioning services company that had just made an acquisition of a captioning technology business (EEG) and was pivoting hard in that direction. The services business was impacted by free captioning offered by the likes of Zoom and Microsoft Teams and saw a horrendous -25% decline in revenues. The transition from services to tech is now two years on, so what does it look like?
In that period, Tech has gone from 28% to 48% of revenues and now accounts for nearly 2/3 of the group’s gross profits. It’s now not only backfilling, but over-powering the declines in services and is powering revenue growth at the group level as well. Tech has much higher gross margins (80% vs 40% with services) and has improved the overall gross margin from 53% to 63%.
The bottom line has also improved and has now inflected into profitability and FCF positivity. The amortisation of previous acquisitions and the historically higher capex spend is suppressing the statutory numbers. My normalised EBIT number (EBITA minus current capex spend) is my preferred metric for underlying profitability and that’s now well in the green.
It’s currently trading at 1x revenue and 19x EBIT, and the market clearly doesn’t believe this to be growing tech business, with improving margins, inflecting into profitability and who’s largest division by gross profit is growing at 40%pa.
Checks a lot of boxes for Ai-Media’s key priorities, so hopefully it becomes a good showcase customer going forward. International expansion (outside of US and Aus), multilingual, expanding languages outside of English and Spanish, Recorded, and translation.
Ai Media shared an interesting announcement today that they’ve signed a 3 year contract with Google for up to $5M TCV.
Rough math would indicate this might end up being ~$1.5M/Year. For a company on a revenue run rate of $60M, it’s not necessarily material. But the value of the Google logo is a big hit. This appears to cement comments the CEO made when he spoke to us ~6 months ago; that they had the best product for automatic speech recognition.
The business might be an interesting inflection point now; the CEO had mentioned at the time they were in the process of pivoting their business from services (humans were doing the speech writing), to Saas (Lexi software does the speech writing).
Interesting one to look at in the next few quarters to see if they can maintain this momentum.
Announcement Link here
Interesting discussion with their CEO Tony Abrahams on Coffee Microcaps 16th July.
This company provides realtime / near real time closed captioning, incuding translation, through a B2B model.
Their commercial and business model offers differing levels of accuracy to customers based on the level of intensity of human involvement in the closed captioning and customisation of 'libraries' based on analysis of an individual's voice. They have some cool ideas such as retaining their own speakers who repeat a stream of dicussion into a libarary that is tuned to analysing their voice (as opposed to an unknown's voice broadcasting say... the news)
It's interesting to learn from this founder CEO about their journey from 2003 with Foxtel to where they are today.
A significant pitch around the value proposition is that accuracy is important; that even the most minor of errors is unacceptable to a deaf viewer that needs closed captiononing, or perhaps an employee of a multinational company participating in a teams / zoom meeting with live translation taking place on the fly.
My hesitation with this one is that whilst these guys may be market leading now, and will likely continue to be market leading for some time; with the trajectory of AI I see companies like Google being able to beat these guys in the long term.
Google for example has millions of hours of media content stored. With the development of AI / ML, and the Google's position in the market, I wouldn't be surprised if they could crush the likes of AIM in the future if they decide they want to get good at Closed Captioning.
Incidentally I watched the presentation on youtube with google's closed captioning turned on. It wasn't 100% but it was pretty good.
I'd therefore be apprehensive stepping into this one.
Ai-Media delivers strong first-half revenue growth, tracking ahead of full-year prospectus forecasts
Highlights
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