Thank you, John, and thanks, everyone, for joining the call today. First, let me briefly discuss the current streaming business climate, and I'm going to discuss our top line streaming results, provide some updates on our go-forward channel strategy and review our technology initiatives. So first, regarding the current streaming macro environment. Despite a lot of hand-wringing and negative sentiment, both in the press and investor community, the streaming business is showing signs of reaccelerating growth after the post-COVID hangover in the last 12 months. According to Comscore, both subscription and ad-supporting streaming grew a combined 25% in the first half of the year in North America. And despite many claims of market saturation, the average household time spent streaming grew 19% year-over-year. Additionally, the number of services subscribed per household grew to 5.4, up from 4.7 in the prior year. While CTV advertising has been down around 7% to 8% according to the Kantar for the first half of the year, most large-scale platforms such as YouTube, Meta and Hulu are showing modest gains in the last quarter. This pre-stage is an improvement in the overall CTV ad environment, and the sentiment for the back half of the year has grown more optimistic among our agencies and demand partners. However, despite the significant audience shift to streaming, today, only 15% of the estimated $70 billion of video ad spend in North America is spent on streaming. And with the number of households subscribing to cable falling below 30 million range, we see long-term trend is very favorable on the ad front. So to sum it all up, all of the key streaming macros, subscribers, time spent, services subscribed to, CTV ad share, so there are many, many years of industry growth remaining and driven heavily by a shift from legacy platforms over the next 5 years. So in the face of all of this, Cineverse has a diversified approach to streaming combined with the technological ability to achieve superior margins over our peers, positions us very well to compete. Now let's discuss a few of the business highlights in more detail from the quarter. Streaming and Digital revenue increased 5.8% to a record $10.5 million, primarily driven by an increase in our digital licensing to other streaming platforms as well as growth in our paid subscription streaming business. Total subscription revenues were $3.2 million, up 45% and total subscribers to our streaming services were approximately 1.21 million, up 38%, driven by the success of new release and library acquisitions for our flagship services, particularly our Screambox horror channel. And we also saw some significant growth in our documentary streaming service, Docurama, which happened to grow 42% during the quarter. Total ad-based revenue was $3.6 million, down 39.3%. As Chris and John noted, during the quarter, we wound down several lower-margin channel partnerships. These are predominantly third-party channels, not channels we own, which included the El Rey Network, The Country Network, The Elvis Presley Channel and several proprietary FAST channels as well. We finalized their wind down during the period, including the Docurama FAST channel, not the subscription channel and CONtv anime. Additionally, we had a mandatory plan technology migration with a major FAST channel platform partner. Due to this migration, we experienced significant reduction in monetization with that partner during the transition in May and June. We saw significant recovery subsequent -- in July and expect to be at pre-transition levels for that partner in the critical busy period at the back half of the year. In the quarter, we continued our key strategic shift away from the COVID era approach of high top line revenue and KPI growth at the expense of profits to more measured growth with the focus on efficiency and profits. One area we're going to continue to focus on is leveraging our 65,000-title library to generate revenue. As Chris noted, our business generating revenues from our streaming library was up 40% year-over-year. In prior years, our focus has been to emphasize our own streaming service at the expense of revenues generated with third-party services. However, over the last year, we've seen little to no cannibalization in subscribers by making our titles more broadly available, and we plan on dramatically expanding that effort. In addition, we plan on leveraging Matchpoint to scale up the volume of the annual releases, of new release titles by hundreds, which should have a significant and material impact on overall revenue. As we noted earlier, we began to focus on eliminating streaming business lines that are unprofitable or far from profitability targets with the priority on winding on deals for channels we don't own outright or require significant CapEx to maintain deal rights. As I noted earlier, we ended our relationship with Authentic Brands on The Elvis Presley Channel and also wind down several other channels. We estimate that the P&L benefit from these changes will take effect over the next few quarters. And we'll see, we think, about a 30% margin improvement in our third-party channel business, which should translate an estimated 6% to 7% improvement in our streaming gross margins as those shutdowns fully wind off. But Docurama, as I mentioned earlier, is a great case study on proactive improvements and the strength of us having multiple revenue stream business model. So we originally operated that service as a subscription offering and expanded it into a FAST channel in 2019. However, as has plagued many predecessor documentary linear networks, that channel struggled to find an audience as a linear network. As it turns out, most people don't like to tune in to documentaries in the middle of the show, which is the most common way for FAST channels to find an audience. So we shuttered the FAST channel during the last quarter and instead refocused our efforts on the subscription model. The net result has been extremely positive in a short time framing. Operating expenses were down by hundreds of thousands of dollars while our subscriber base grew by more than 42% during the quarter. So going forward, our approach to third-party channels is going to be very different from prior years. Rather than capital-intensive copartnership that requires significant investment in CapEx and streaming rights, we're going to focus on fee-based managed technology services and exclusive advertising partnerships. These businesses require little to no risk capital and time to market is days to weeks rather than months or even sometimes years. Our overall approach to the ad market is changing as well. As advertisers focus on supply path optimization, we're currently ramping up the direct and sponsorship portion of our ad business significantly to capture the best results from calendar Q4. We recently expanded our ad sales team and in the quarter, had secured direct deal -- ad and sponsorship deals with Ancestry.com, Hershey's, Taco Bell, Sony Pictures, A24 and more. And most of the benefit is coming in the current quarter on these, but we have signed those in the prior quarter. So our approach is focused on selling omnichannel, web, mobile, audio and CTV and at 120% premium to our current CPMs, so think in the $35 range. The biggest shift for us is also a focus on managing the exclusive monetization for partner channels. As I noted earlier, we like this approach versus launching new channels because when we work with that partner, channel is already live, it has predictable and forecastable revenues and cash flows, has no CapEx risk like there is with building a new channel and could be launched rapidly into the market. For example, we recently struck an exclusive monetization partnership with The Preview Channel. From deal to live, we were generating revenues in approximately 3 weeks and have since tripled the partner's daily revenue run rate. We're also pursuing this model on the audio side, signing large podcasts with scale audiences to our network. We plan on rapidly scaling this business over the next 2 years with a focus on owned and exclusively monetized channels. Finally, I'd like to close out by discussing what's in store for our technology and the implications for our business. As Chris noted, our proprietary streaming platform suite known as Matchpoint, is the engine that makes everything we do possible. Indirectly, it's responsible for the vast majority of our revenues, and we estimate that directly, it enables the generation of up to half of the company's overall revenue. At its heart, the Matchpoint system enables the scale analysis, processing, distribution, monetization and reporting of professional video content. We built it to replace a patchwork of dozens of SaaS companies and service vendors, all on top of a highly scalable architecture that allow us to do far more than just our 65,000-title library. Matchpoint is increasingly becoming critical infrastructure for channel operators, OEMs and content producers, mainly because it's a single source solution. It goes far beyond just operating streaming channels and supports a full stack infrastructure that modern media companies need, including rights and media management, content processing, digital delivery, apps, data intelligence analytics, customer reporting, royalties and payments and accounting support. As the only end-to-end operating system for media content in the market today, it eliminates dozens of vendors and dramatically simplifies operations, and our cloud infrastructure and modularity make it affordable and scalable while also being extremely cost efficient. If that was the only thing MatchPoint did, we think that would be a great business to offer partners. But the Matchpoint platform goes far beyond the businesses of today, it's also perfectly suited to take advantage of the business needs for media companies of tomorrow. Here's a few examples of how we're -- we help partners get ready for the consumer needs in the next era of streaming. First up, AI-based content processing. And this ties right back into the recent announcements we made around our AI marketplace. We're using computer vision and machine learning to dramatically improve the speed and quality of adding complementary data around video assets, from captioning meta tags and scene descriptions to more esoteric elements like mood, tone and pacing, these data points are the building blocks of critical services for recommendation engines. But in the future, this data can be used to dramatically improve generative video AI and large language learning models or LLMs. Those generative video models run on datasets known as text-to-video pairs or text describes what's happening in a given video. Most available datasets are open source, very old, extremely limited and heavily rely on short form and web video content to feed the models. We believe that our capabilities and technology is going to allow us to generate extremely valuable, highly enriched textual data that will enable advanced generative video models for partners in businesses like Runway ML Gen-2 tools, image and video and others. Also, let's talk about enhanced next-generation user interfaces. Despite streaming's rapid rise, the means of interacting and finding content has changed very little over the last 15 years. We believe that the next generation of streaming user interfaces will be natural, intuitive and dramatically improve the relevancy and experience of services for consumers. We're actively working on commercialization of this effort and expect some major announcements to come very soon. Next up and last is FAST 2.0. So we've talked a lot on these calls about free ad-supported streaming television and how it's rapidly replacing cable. However, the current user experiences and use cases which are preprogrammed linear channels and electronic program guide, are basically 80-year-old technology and simply can't compete with the engaging hyper-personalized video apps like TikTok and Reels for user engagement and time spent watching. We're currently working on a complete reimagining of the FAST experience for users that will have the comfort, look and feel of cable with the hyper-personalization experience users love from their social video services. With simple, intuitive onboarding, the user experience will be so customized and no 2 users will have the same service. To sum it up, not only does Matchpoint provide a single enterprise solution as a streaming operating system for the use cases of today, we're bringing next-generation technology to support FAST 2.0, feature-based AI chat and data support for generative video AI. We are deep in this market, and I can say that most companies are barely struggling with video delivery and are years away from even thinking about these kinds of solutions. However, we believe that leveraging our extensive India team, we can bring these services to market rapidly. To sum it up, we're quite optimistic about the upcoming quarter with continued growth in our subscription and licensing businesses. Our ad business recovery should be strong as well with the launch of new channels, new distribution and a focus on direct sales and sponsorships. And we remain focused on gross margin improvement, managing our cost structure and exiting low and negative margin businesses. And finally, we're committed to investing in technology and scaling Matchpoint with a robust new customer base as we scale up and commercialize its next-gen features. Again, thank you for joining today's call, and we look forward to sharing our Q4 results in the coming months. With that, operator, let's open it up for Q&A.