The online’s elementary structure is present process a historic shift as AI brokers more and more exchange human customers as the first shoppers of on-line info. Whereas conventional advertising and marketing and web optimization centered on influencing human conduct by way of search rankings and advert placements, AI-powered procuring assistants and analysis instruments now make buying choices and product suggestions by analyzing web sites by way of bot interactions somewhat than person clicks. This transition from user-driven to agent-driven commerce has left manufacturers blind to a vital query: when an AI recommends a competitor’s product over yours, what info drove that call? Limy addresses this hole by working on the infrastructure layer between a model’s area and the web, figuring out and decoding each agent and bot interplay to disclose precisely which prompts drive conversions and which info brokers extract when making suggestions. The platform’s attribution mannequin tracks the whole buyer journey initiated by AI, connecting particular prompts to precise income and enabling manufacturers to optimize their presence in AI-mediated discovery. With Fortune 100 corporations together with AstraZeneca, Samsung, and KIA already utilizing the platform, some attributing 10% of their income to Limy’s insights, the corporate demonstrates that agentic commerce is now not theoretical however a measurable channel for development.
AlleyWatch sat down with Limy CEO and cofounder Aviv Shamny to be taught extra in regards to the enterprise, its future plans, current funding spherical, and far, rather more…
Who have been your buyers and the way a lot did you elevate?
$10M Seed funding led by Flybridge with participation from a16z speedrun. Different buyers embrace Axiom, Clarim, Communitas, JRV, & AnD.
Inform us in regards to the services or products that Limy gives.
As the net shifts to AI brokers, our infrastructure platform supplies manufacturers management over visibility, affect, and conversions to drive income within the Agentic Net.
Our platform produces insights to assist corporations higher perceive how AI brokers determine which manufacturers and merchandise to suggest to their customers.
What impressed the beginning of Limy?
Limy began from a private second. I noticed my mother asking an LLM for medical recommendation, and it confidently really helpful merchandise with elements that weren’t truly the suitable ones. That was a wake-up name – I noticed it is a ticking time bomb, and as extra folks depend on AI for choices, somebody has to ensure the knowledge manufacturers present up with is correct, secure, and measurable.
How is Limy completely different?
Different gamers on this house are centered on what customers are getting into into LLMs, i.e. person information however within the Agentic Net, brokers’ actions are rather more necessary and that’s the place Limy operates, giving us a transparent benefit. Our expertise is uniquely positioned on the intersection of a model’s net area and the web, the place information and visitors converge. The platform identifies and decodes each agent and bot interplay that takes place inside a web site, detecting what info is being fetched and what motion is or isn’t being taken. This creates a direct, measurable hyperlink between prompts, agent conduct, and enterprise impression. Limy produces its personal proprietary information primarily based on these agent interactions, producing particular insights for manufacturers to win AI visibility because the LLM reply. Furthermore, by working immediately on the infrastructure net layer, Limy has developed an attribution mannequin primarily based on its distinct means to trace and worth the whole buyer journey by way of AI and assign prompts to income. Limy is the primary platform to attach AI brokers to actual person outcomes, revealing why, how and what worth was generated from AI visitors.
What market does Limy goal and the way large is it?
We serve manufacturers positioned wherever on this planet throughout ecommerce, retail, media, journey, finance, and B2B SaaS.
Limy caters to companies of all sizes. Entrepreneurs can begin by way of Limy’s self-serve dashboard, whereas enterprises and businesses can achieve entry to customized deployments with deeper integrations and extra highly effective options and efficiency.
What’s what you are promoting mannequin?
A tiered subscription mannequin primarily based on an organization’s dimension and the capabilities required.
How are you getting ready for a possible financial slowdown?
We imagine an financial slowdown makes our product much more important. When budgets tighten, manufacturers can’t afford wasted spend or missed demand – they should maximize each high-intent buyer interplay. That’s precisely the place we sit: in the intervening time of search and decision-making inside LLMs. We’re serving to manufacturers guarantee they present up precisely and competitively in AI-driven search, to allow them to seize demand extra effectively and defend development even in a harder macro surroundings.
What was the funding course of like?
It was surprisingly quick and clean. We had round 3x extra demand than we would have liked – technically we may have raised a a lot bigger seed, even one thing like a $30M spherical. However we made a deliberate determination to remain disciplined and develop sustainably. We wished the suitable companions and the suitable tempo, not simply the most important quantity.
What are the most important challenges that you just confronted whereas elevating capital?
One of many greatest challenges was that we’re basically creating a brand new class. We’re constructing for a necessity that wasn’t apparent to many individuals but, particularly early on. The AI panorama is evolving actually day-to-day, and never everybody is ready to monitor the tempo or totally perceive how shortly client conduct is shifting towards LLM-based discovery. That meant we frequently needed to function in “educator mode” with buyers: explaining the issue, why it issues now, and why it should turn out to be mission-critical for manufacturers. As soon as buyers actually understood the shift, the conversations grew to become a lot simpler.
What elements about what you are promoting led your buyers to jot down the verify?
A key issue was that we’re the one participant out there constructing actual attribution for LLM-driven discovery. Whereas others deal with visibility or monitoring, we’re the one ones who can quantify impression – we are able to inform manufacturers precisely how a lot income and what number of offers every immediate is value to them. That means to attach AI search conduct on to enterprise outcomes makes the class measurable, budgetable, and scalable – and that’s what in the end gave buyers confidence to jot down the verify.
What are the milestones you propose to attain within the subsequent six months?
Over the following six months, our focus is on scaling what we’ve confirmed post-seed. Which means increasing our buyer base with iconic international manufacturers – together with names like IKEA and McDonald’s – and persevering with to deepen our attribution layer so manufacturers can measure ROI from each LLM immediate. On the enterprise aspect, we’ll even be constructing the momentum and metrics wanted to place the corporate for the following levels of development, together with future Collection A and past.
What recommendation are you able to supply corporations in New York that would not have a contemporary injection of capital within the financial institution?
First, focus relentlessly on fundamentals: money, runway, and income. On this surroundings, effectivity issues greater than hype – get extraordinarily clear on what drives development and lower something that doesn’t. Second, speak to clients always and prioritize quick suggestions loops; the businesses that survive are those that keep closest to the market. Third, construct a distribution benefit – particularly in New York the place competitors is intense. Should you can’t outspend, it’s good to out-execute on go-to-market. And at last, don’t be afraid to simplify: a smaller group with clear priorities and excessive velocity will beat a much bigger group with noise.
The place do you see the corporate going now over the close to time period?
Trying to develop our group to 120 by the top of the 12 months. We’re at 25 staff at present.
What’s your favourite winter vacation spot in and across the metropolis?
Truthfully? Staying residence in New York.
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