Intellex is developing the ‘immutable memory layer’ for enterprises and AI agents. Its technology enables secure collaboration, shared enterprise and industry-specific memory, and secure multi-agent collaboration. Drawing from real enterprise use cases and partnerships with major brands, Intellex is helping organizations move from simple automation to true agentic collaboration.
Supporting this evolution is Aurora Labs, the team behind Calyx, a new multichain launch platform built to simplify how projects raise and deploy capital. Through Calyx, Intellex can launch its token across major blockchains in a single transaction, using NEAR Intents for seamless cross-chain execution.
In this joint interview, Intellex CEO Eric Hillerbrand and Aurora Labs CEO Alex Shevchenko discuss how their projects work together, what makes Calyx different from other launch platforms, and how these technologies are shaping the next phase of AI and Web3 adoption.
What inspired the creation of Intellex, and how does the project’s background shape its vision today?
Our team has worked extensively with business enterprises and seen the problems that businesses encounter and how these problems will only worsen in the agentic world. I as CEO worked at one point for the US Army building agentic solutions and watched how collaboration was brought to a standstill because there was not a universal agreement about the definition of the word ‘dead’ meant.
Imagine with recent generative AI capabilities how agents will actually lie, cheat and steal to avoid appearing ignorant and suffering the consequences. Since that time we have worked with global brands such as Absolut, Ahold, Bridgestone, and seen these problems repeat themselves over and over.
Intellex calls itself the “immutable memory layer” for enterprises and AI agents — what does that mean in practice?
Intelligence is the ability to solve problems in new contexts. Memory is the personal knowledge you bring to solving those problems. Business enterprises have historically been challenged by difficulties collaborating across functional areas and across partners. If agents can’t remember then those agents will merely repeat the mistakes of their human counterparts.
And, likely make even worse mistakes. Giving agents institutional memory means building enterprise and industry specific language models that provide agents with the knowledge of how to achieve competitive advantage based on past human and agentic experience. Specifically, we help agents work together in teams and share in a protected manner memory for reputation, expertise, experience and solution-state.
How can Intellex’s technology help enterprises adopt AI agents, and what real-world use cases are already emerging?
Enterprises are moving from agentic solutions which are merely automation of existing workflows to agentic collaboration–multi-agent systems with humans in the loop that work interactively to solve problems in new and novel ways.
If you have ever worked with autoomous agents that scares the hell out of every enterprise we work with. Immutable tracking of memory use and access–tracking reputation, expertise, experience and solution-state–is essential for businesses to feel that the systems are in place to let autonomous agents go to work.
Why is cross-chain interoperability so important for Intellex, and what advantages does it bring to multi-agent systems?
Let’s take an example that used discussed in our recent AMA with the global head of analytics from Walmart. Walmart has a couple of agents working on consumer marketing. Tommy Hilfinger has agents trying to optimize their production based on Walmart’s demand for their products. The agents are tasked with working together. How will Walmart secure its data so Hilfinger doesn’t steal it.
Could Hilfiger’s agent interrogate Walmart agents to find out trade secrets? What type of certification of reputation will Walmart expect to ensure the provenance of Hilfiger’s agents? How will these agents create shared memory of experience and expertise to truly achieve new and novel solutions to intractable problems that have historically plagued the Walmart-Hilfinger relationship?
And the list goes on. And of course with the focus on decentralized AI ecosystems, will all the autonomous agents be built solely on NEAR. No. So, agents registered and being tracked on various blockchains will be the norm.
Intellex is delivering enterprise use cases into the NEAR ecosystem. How is the community involved, and how do NEAR Intents enable coordination and message sharing across blockchains?
First and foremost, most technologists have little insight into enterprise needs and challenges. Agentic use cases to date across the NEAR ecosystem deliver little value that enterprises are willing to pay large amounts for. Solve major problems; earn lots of revenue. Our mission is to inform the NEAR ecosystem about what they should be building and why. We are connecting enterprises with the NEAR ecosystem.
Tokenholders help create, authenticate, and manage shared memory for industries and specific business enterprises. Tokenholders finance deployments of memory with enterprises and support agent builders that use collective memory. When enterprises pay token holders share in the revenue.
Opportunity #1: Token Holders can contribute to collective memories for specific industries—auto, grocery, finance— making a valuable contribution to the business problems the panel has discussed. When enterprise customers pay, token holders get a revenue share. We will be releasing our schedule for deploying industry specific and business specific (Absolut, Coca-Cola, etc.) memory-based generative AI capabilities.
What role does Aurora play in the Intellex project, and how does this collaboration support broader adoption of NEAR-based technologies?
Aurora built Calyx, the platform Intellex is using to launch its token. Through Calyx, Intellex can raise capital from investors on any major blockchain while settling on NEAR. That’s possible thanks to NEAR Intents, which allow users from multiple ecosystems to interact with one transaction.
It’s a practical example of how Aurora is driving NEAR adoption, by giving projects the tools to go multichain from day one.
Aurora has also been instrumental in powering Calyx. What is Calyx, and what pain points in the token launch landscape does it solve?
Calyx is a cross-chain launch platform built by Aurora. It solves the main problem founders face when launching tokens: every chain is isolated.
Most teams have to pick a single ecosystem or rely on risky bridges to reach others. Calyx removes that barrier. Founders can raise once and make their token available across ecosystems automatically. Investors can participate from any chain—ETH, NEAR, BNB, SOL, and others—in one transaction.
The result is faster fundraising, lower operational risk, and immediate multichain reach.
How does Calyx stand apart from other launchpads in the space, and what kind of projects is it best suited for?
Calyx isn’t a marketing launchpad, it’s infrastructure. Every sale is powered by NEAR Intents for cross-chain execution and OmniBridge, Near’s liquidity system that deploys tokens and pools across ecosystems.
That means no wrapped assets, no manual redeployments, and no bridges that can be hacked. Everything happens natively and atomically.
Calyx works best for projects that already have traction or a working product—AI protocols, DeFi applications, and infrastructure projects that want a serious, compliant path to raising funds across multiple chains.
What steps is Calyx taking to ensure that launches are credible, secure, and ready for participants?
Each project on Calyx goes through team verification, and readiness checks before launch. Many come directly from the Aurora Incubator, where we work with them on product, tokenomics, and compliance.
For investors, Calyx uses NEAR Intents to handle funds and execution without bridges or custodians.
We focus on a small number of high-quality launches instead of mass listings. Credibility matters more than volume.
Looking ahead, after Intellex, what can we expect from Calyx in terms of future launches and platform growth?
Our next launch is Sproutly, a real-world asset protocol developed through the Aurora Incubator. It’s already powering Carbify’s climate operations by connecting on-chain tokens to real trees, certified carbon, and measurable biodiversity.
Unlike many projects chasing hype, Sproutly built the full stack, from soil to smart contract and shows how Web3 can deliver tangible, verifiable impact. That’s the type of builder Calyx was made for.
Beyond Sproutly, we’re lining up launches across AI, DeFi, and consumer sectors, continuing to position Calyx as the go-to launch layer for projects creating real-world value.
Read more interviews here.
Source: https://finbold.com/intellex-ceo-eric-hillerbrand-and-aurora-labs-ceo-alex-shevchenko/
