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Read the full article: https://decentralised.news/building-the-full-stack-agentic-ai-finance-infrastructure
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The future of finance is no longer human-driven — it’s agent-coordinated, AI-intelligent, and institution-grade.

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00:00Let's talk about projects that are building a full-stack, agentic AI finance infrastructure.
00:07So we're looking at Autonolus, Aulus is the token ticker, Giza, another project and institutional agents like Edge and Sahara AI, for example.
00:19So the rapid shift that we're seeing in finance right now is no longer just about automated bots, right?
00:23Because it's no longer about them just trading assets, but networks of intelligent agents now that are orchestrating tasks and making decisions, coordinating across chains and protocols and different data domains.
00:36So basically, to be able to enable this new ecosystem, three critical infrastructure layers must mature, right?
00:43So you've got a coordination orchestration layer, if you want to put it like that, which would enable multi-agent systems to act and also operate.
00:52Then a research and training layer, powering agent intelligence, data ingestion, model deployment, maybe cross protocol execution, as well as institutional grade foundations that grant trust and compliance and data governance and monetization of AI assets, right?
01:08So today we're exploring kind of how these three projects are mapping across all of those layers, right?
01:16So formerly Autonolus, so that's Aulus, an agent coordination layer every chain needs.
01:24You've got Giza, a base native research engine powering on-chain AI intelligence and DeFi.
01:31You've got Sahara by Sahara by Sahara AI and Edge representing the institutional frontier of autonomous research agent stacks.
01:42And now together, these will be illustrating the full stack of agentic finance and orchestration from intelligence to institutional grade deployment.
01:52So if you like the kind of content on this channel, make sure you either like and subscribe or we're the home offer AI agent content.
01:59So let's talk about Aulus, which is a multi-agent orchestration layer, right?
02:03Traditional smart contracts simply execute logic flows on-chain.
02:09The problem is they cannot easily coordinate complex or strategic agents across chain links of chain compute, for example, or multi-agent frameworks.
02:19So orchestrating many agents with shared goals or governance or permissioning in cross-domain data requires new primitives.
02:30So how Aulus is actually enabling this orchestration to describe themselves as a composable stack for multi-agent systems that coordinate off-chain logic and sync on-chain through smart contract anchors.
02:43Under the hood, you've got agent run, sort of a run of chain in languages like Rust and Python, managing tasks, interacting with APIs, reasoning and acting, on-chain smart contracts via the protocol,
02:58registering agents, managing permissions, and also providing component registry, right?
03:04So service registry and track, kind of the execution metadata as well.
03:08And then you've got the governance, kind of via the Aulus token here or the VE Aulus model, which anchors community control agent upgrades, also as distribution of rewards.
03:17So some of the case studies here that are interesting to just really quick, if you're looking at base deployments and kind of governance,
03:25while kind of a project like Aulus was originally built for these modular ecosystems, its architecture is actually anti-chain agnostic, right?
03:36So meaning you can deploy agent clusters on chains such as base projects, such as Aulus actually make it possible for these agents from different chains
03:45to then be able to coordinate or share states or kind of follow unified policy.
03:50And these DAOs, using Aulus register agent services like NFTs or modules, kind of track off-chain performance via on-chain logs
04:02and then distribute revenue back to token holders.
04:05And this opens a path for the agent DAOs where participants actually co-own a network of agents, right, rather than a single protocol.
04:14So you can compare that with Flock and BIOS, right?
04:19And Flock, which is also a virtuals-focused agent to agent orchestration within one ecosystem, primarily base-native agents.
04:31You've got BIOS, BIOS, virtuals, an operating system layer for agents also inside that ecosystem.
04:36So, by contrast, Aulus, for example, aims to be chain agnostic, multi-chain agent network capabilities,
04:44the governance-centric, making it very suitable for large-scale protocol agent cross-coordination
04:52rather than kind of a single ecosystem orchestration situation.
04:55So you've got Giza on base, which is a kind of a native research engine for agent intelligence,
05:02literally defining itself as an agent-driven DeFi infrastructure platform,
05:07continuously analyzing cross-protocol conditions, executing complex strategies,
05:13and adapting to market changes as well while preserving user sovereignty.
05:17So it's deeply integrated with base and other EVM chains focusing on intelligent layers of agentic kind of AI, right?
05:26So you also have integration with various virtual agents and DeFi analytics as well.
05:33And then Edge, Sahara AI, these are the ones that are on the institutional frontier with the institutional-grade agent stacks,
05:43kind of building beyond retail agent applications, right?
05:47And also some of the use cases are very interesting because you've got, for example, Sahara AI, right?
05:54It positions itself as a full-stack AI-native blockchain platform where assets, models, data sets,
05:59and agents can be created and owned and monetized, right?
06:03And Edge AI actually frames edge computing agent frameworks reflecting the move towards kind of autonomous distributed agents
06:11with continuous learning and safety mechanisms.
06:14But of course, some of the risk modeling and compliance and data feeds are really interesting
06:18when you look at the risk modeling agents also that are designed for institutions to run continuous risk scans,
06:25compliance agents that are monitoring smart contract behavior and data feed marketplaces,
06:29where institutional-grade centers, AI models, and agents are actually able to trade intelligence, right?
06:35So tokenized AI IP markets are going to be big, I think, in these stacks.
06:40AI models actually kind of themselves become the tokenized IP.
06:44So this is something to look into, guys.
06:46It's very interesting.
06:47The strategic implications of this.
06:50Compensibility is very critical.
06:51Obviously, multi-chain execution will become the standard, and tokenized aligned incentives will definitely rise.
06:57rise, but there will be challenges.
07:00Let's see how it all pans out.
07:02Check us out for more.
07:03The links are in the description.
07:04Peace.
07:05I'll see you next time.
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