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As the market moves beyond generative AI into the next wave—Agentic AI—I’ve been focusing on companies that go all the way down to where money actually changes hands in commerce, and that aim to automate the full flow of **Discovery → Engagement → Checkout** as one continuous loop. Among them, **Rezolve AI (NASDAQ: RZLV)** stands out. Rezolve positions itself as an **“Agentic Commerce” pure-play**, not as a simple recommender system or chatbot, but as a bet on turning the entire purchase journey into a conversational, autonomous, execution-oriented experience.
The main reason I keep tracking RZLV is not the narrative, but the fact that its recent communications repeatedly put **visibility metrics**—contracts, **ARR**, **MRR**, and **(adjusted) EBITDA**—front and center, suggesting it’s trying to win on a numbers-based framework. On **October 1, 2025**, the company raised its **2025 ARR exit-rate** guidance to **$150M** and introduced a new target of **$500M ARR exit-rate by the end of 2026**. Then on **December 16**, it **reaffirmed** that **$500M+ end-2026 ARR** goal. What’s more interesting is that it also started layering in shorter-term, more immediately verifiable numbers—saying **December 2025** was expected to be its strongest month ever, with **$17M+ in revenue**, **$200M+ in year-end ARR**, and even the expectation of hitting a **positive adjusted EBITDA** milestone. To me, presenting these “near-term numbers” alongside longer-term targets looks like an attempt to create a window that can actually be audited by the market. The company also disclosed that it already has **$209M of contracted revenue for 2026**, and stated that it will formally provide **2025–2026 revenue guidance** on the **January 13 (U.S. time) conference call**. I see this as a real inflection point. Markets hate “dreams,” and microcaps in particular trade under the default assumption that “guidance is just talk.” Ultimately, what matters is **how much of that contracted revenue converts into GAAP revenue, at what pace, and under what accounting structure**.
The second pillar I focus on is evidence of **Production, not POC**. Agentic commerce demos are easy; running at scale with real traffic, payments, inventory, and product data is not. RZLV has repeatedly cited operating scale metrics such as **650+ enterprise customers**, **51B API calls (2025 YTD)**, and **340M+ unique mobile user sessions**. It has also expanded the way it presents “live deployment” references by geography: a **multi-year Snapdeal contract** (live after a high-ROI POC), **renewal and upsell with AJIO**, production work for **GAP/Banana Republic Mexico**, and disclosed usage metrics such as multimodal shopping adoption at **VogaCloset**. There’s also mention of a large deal example such as **Liverpool Mexico** at approximately **$9.8M annually**, which supports the idea that it’s trying to move beyond the “pilot-only” label. Even here, I prioritize validation over optimism: the key 2026 question is whether these references are isolated showcase wins, or whether they represent a repeatable revenue pattern through renewals and upsells.
The third area is the **payments** narrative. RZLV emphasizes **Brain Checkout** and continues to present a roadmap that integrates **Tether (USDT)** via its wallet developer kit (WDK), aiming to embed stablecoin-based payment experiences into commerce. The fact that SEC-related disclosures around the **Smartpay acquisition** reference transaction volume and a fee-reduction/payment initiative angle suggests this is not purely “we plan to add stablecoins” marketing, but an attempt to shore up execution through infrastructure. That said, this is the part where I’m most cautious about hype. Payments sit at the intersection of regulation, merchant adoption, UX friction, and regional compliance. If it works, it could be a differentiator; if it slips or under-delivers, it can inflate the story while real economics lag behind. For that reason, I treat payments more as **optionality** than as the core of the thesis.
The fourth pillar is the **M&A-driven expansion strategy**. Through acquisitions such as **GroupBy** (search/product discovery), **ViSenze** (visual/multimodal search), and **Crownpeak** (DXP), RZLV appears to be building a broader enterprise package by quickly attaching the search–visual–experience layers around its Brain Suite. This can accelerate time-to-market, but it’s also one of the easiest attack angles in the comments. More M&A can mean higher integration costs, more organizational complexity, and the inevitable question: “ARR is up, so why do margins look like this?” That’s why I’m not treating “ARR growth” as the only 2026 metric. I’m watching **post-merger retention (renewals), upsell motion, unit economics (margins), and operating leverage (EBITDA improvement)**, because re-rating typically happens when **growth and a credible profitability path** start to show up together.
Finally, I’m also watching the big-tech distribution layer and commercial execution hires. The emphasis on integration with **Azure and Google Cloud**, and mentions of adding commercialization leadership with **Microsoft/Google backgrounds**, can matter because enterprise deployments are often bottlenecked by security, operations, and delivery pathways. Still, I don’t treat logos as a guarantee. “Partnership” can be an easy label; what matters is whether it turns into **repeatable revenue** through those channels.
I also want to address, upfront, the three most common criticism points—and I’ve been thinking about them seriously. First is **dilution**. In microcaps, dilution isn’t a binary “yes/no,” it’s “when, on what terms, and how much.” I’m not denying dilution risk. What matters is whether capital is raised after contract/revenue visibility increases (i.e., at a better valuation), or whether the company ends up repeatedly issuing shares at depressed prices due to cash pressure. That’s why I plan to monitor **cash flow, working capital, and share count trends** each quarter. Second is **competition**. It’s fair to ask whether platforms like Salesforce (Agentforce) will ultimately dominate. I think competition is the default assumption, not the surprise. The only credible edge for RZLV is not “better AI,” but execution speed—**bundling Discovery → Engagement → Checkout into a single operational flow and stacking real-world production references quickly** while the market is still early. Third is **guidance credibility**. This is the area where I’m most conservative. Rather than “believing” the numbers, I’m setting clear verification points: the timeline and mechanics for converting **$209M of contracted 2026 revenue** into **GAAP revenue**, whether renewals and upsells become a repeatable pattern, and whether adjusted EBITDA improvement is structural rather than one-off. If those aren’t demonstrated, then any consensus target price is, to me, just a possibility—not a conclusion.
In short, RZLV looks like a company trying to build an “Agentic Commerce” position in a narrow, clearly defined category—stacking **ARR/contracted revenue**, **production references**, **payments optionality**, and an **M&A expansion strategy** in parallel. But for a real re-rating, it still has to prove itself in 2026 through **GAAP revenue and sustainable profitability economics**, and I see the first gate as the **January 13 (U.S. time) guidance call**, where the company needs to “lock the numbers” in a credible way. After that call, I plan to adjust my stance based on whether **contract-to-revenue conversion pace**, **cash/dilution signals**, and **renewal/upsell repeatability** all start to confirm at the same time.
**Not financial advice. Just sharing my notes. What’s your base case for RZLV after the Jan 13 guidance—bull, bear, or “wait and see”?**