Minara Full Launch: AI Financial Assistant for Intent–Execution and Digital Finance

Today, we’re officially launching Minara, an AI financial assistant for digital finance that turns natural-language intent into analysis, strategy, and execution. After months of testing with active traders, builders, and institutions, Minara is now opening up as a full product.

In this article, we’ll share why we think digital finance needs an intent-execution intelligence, what Minara can do today, how its intelligence is built, and where we’re taking it next.

You can sign up at minara.ai and start exploring it today!

Over the past decade, the foundations of digital finance have been rebuilt. Crypto has evolved from chaos to a robust market of stablecoins, DeFi, and RWA, while traditional finance is moving the same way with longer trading hours, more assets digitized, and tokenized products from players like BlackRock and PayPal.

For most people, however, the way into this system is still fragmented. They chase sentiment on social feeds, search for views in communities, check metrics on data and on-chain tools, then switch to brokers, wallets, or DeFi protocols just to complete a single trade or rebalance. From the outside, digital finance looks complete. In practice, the participation barrier has risen with complexity.

All of this points to a deeper gap between how digital finance is built and how people are actually able to operate it to achieve their goals.

The Missing Link in Digital Finance: "Intent-Execution"

The core challenge in digital finance is building intelligence that helps people achieve intent-execution. Intent-execution is a flow where users express what they want and the system turns that intent into concrete analysis, and actions they can confirm. Today almost no financial AI system can reliably reason across context and turn a user’s intent into financial action.

In other words, what users lack is a powerful financial assistant that can handle the complexity of digital finance on their behalf. In an ideal flow, users simply describe what they want, and an ideal assistant turns that intent into informed options and actionable paths with insightful analysis and suggestion, which is more like a whole investment team inside a chat window than a traditional tool.

This is where Minara comes in. As an AI financial assistant, Minara is built to help users manage their wealth and assets in digital finance.

Introducing Minara — Your Financial Assistant for Digital Finance

Minara is built to solve that challenge. It is not just a generic large language model like ChatGPT or a simple agent wrapper, but a financial agent that can support the full chain from question → analysis → decision → execution in digital-finance asset scenarios.

Imagine a user stating a goal in natural language, and Minara automatically pulling necessary data sources, applying financial reasoning frameworks, returning a clear assessment or strategy, and allowing the user to construct and trigger on-chain actions such as trades, monitoring, or alerts, while the user always confirm final execution.

That's the full intent-execution loop Minara is bringing to all users.

Unified Gateway for Digital Finance Assets

Minara is built to become a unified gateway across digital finance. It's not just for one asset class, but for the full intent–execution loop wherever assets become programmable.

Minara starts from crypto, because it is the first environment where this is truly possible: open and composable markets, mature tooling, and stablecoin rails that make near-autonomous intent-execution feasible. Minara’s custodial Wallet and execution layer already enable seamless operations across tokenized assets, stablecoins, and DeFi positions, and are architected to extend naturally to equities, ETFs as the ecosystem converges.

Our future goal is to connect Minara’s intent layer directly to a broader universe of traditional markets as their rails become more digitized via stablecoins. Even where execution is not yet wired in for now, Minara still helps users analyze traditional digital finance assets such as stocks, FX, and commodities through a unified interface.

Intent–Execution Loop

From a single chat window, users can explore and operate across digital finance with Minara. Behind the scene, Minara aggregates data and tools, applies expert-level financial reasoning, and turns natural-language intent into structured plans and executable operations. Instead of jumping between charts, data sites, and trading interfaces, users now can ask Minara what they want to do, review the analysis and options it surfaces, and then confirm the trades or workflows they choose to run. That closes the Intent–to-Execution Loop.

This loop is grounded in real infrastructure. Minara connects directly to digital asset rails, with an integrated stablecoin wallet that is created for every user and serves as the operational backbone of experience. It provides a seamless bridge across supported ecosystems and acts as the final link between analysis and action. It brings coherence to both on-chain and emerging digitally native financial workflows.

Minara’s Core Capabilities

Analytical Intelligence

The core of Minara’s intention-execution capability is a deep, context-aware analytical foundation. Minara’s Analytical Intelligence is powered by a coordinated multi-agent system that decomposes complex financial questions into parallel tasks—retrieval, validation, reasoning, and synthesis—before recombining them into precise, actionable insights.

The system unifies 50+ curated data sources, including Arkham, CoinMarketCap, DeFiLlama, and social-sentiment feeds. Built on a financial-sepcialized reasoning framework, Minara understands real-world scenarios, market structure, and necessary financial practices with institutional-grade rigor. It enables users to receive clear explanations and suggestions on what actions they can take.

Underneath, the crypto-native DMind model provides domain-level reasoning and efficient tool usage across agents. Together, they transform fragmented signals into reliable, execution-ready intelligence across digital finance.

Agentic Finance

As digital finance (especially crypto) matures, more activity naturally shifts toward agentic, condition-driven execution. With its Prompt-to-Agent capability, Minara can turn a single natural-language instruction into a running agent, so users can offload repeatable, rule-based financial tasks while staying fully in control of their intent.With a single prompt, users can spin up agents that:

• monitor on-chain anomalies and wallet activity
• send risk and price alerts
• run predefined arbitrage or grid logic
• ...

Prompt-to-Agent embodies the core advantages of Agentic Finance: they watch markets 24/7, follow predefined rules without emotional bias, and compress multi-step, multi-tool workflows into automated logic. This will bring higher efficiency and execution quality, which will lower operational barriers for new participants while amplifying the strategy capacity of advanced users.

This is not about AI replacing investors, but about AI augmenting them. Users define goals and constraints; agents handle monitoring and execution. Minara’s Prompt Workflows are an early, concrete expression of this Agentic Finance paradigm.

Discovery with Intelligence

Discover is Minara’s dedicated market layer, and it gives users a continuous pulse of the crypto landscape and real-time awareness curated by Minara’s AI intelligence.

Instead of monitoring multiple sources, users see integrated market data and news that Minara has already analyzed, tagged, and organized by themes and trends, making it easy to spot what matters and why. From any signal, token, or story in Discover, users can jump straight into a conversation with Minara, ask deeper questions, and turn a new insight into an intent–execution workflow.

AI Trading Copilot

Minara will introduce a new type of trading intelligence with its upcoming AI Trading Copilot. It is built specifically for the demands of perpetual futures and other high-velocity markets. Copilot helps users frame trading strategies, interpret shifting market structure, and manage risk with greater clarity, especially when volatility accelerates and decisions become harder to make alone.

To ensure its guidance is grounded and reliable, Copilot will be evaluated through public, real-time tracking of its live trading behavior, giving users a transparent view into how its reasoning performs in the market itself. Its aim is to make advanced trading judgment feel steady, explainable, and worthy of institutional trust.

Minara’s Intelligence Architecture

DMind Model

At the core of Minara is the DMind family of finance-native large language models, developed by an open-source AGI research team focused on next-generation digital finance intelligence.

Rather than adapting a generic model, DMind is built from the ground up for agentic use cases in digital-finance markets — starting with crypto and expanding toward a broader universe of digitally-native assets. Its training corpus embeds thousands of expert-verified insights on market microstructure, liquidity behavior, risk frameworks, and macro context, giving Minara a foundation that is tuned for how real markets move and interact.

Moreover, Minara is built directly on top of DMind’s models and tooling stack, and in turn continuously feeds real user tasks and anonymized interaction patterns back into DMind’s iteration loop. Together, they form a vertical AI cycle for digital finance: research-grade models powering live products, and live products supplying grounded data that make the DMind models progressively sharper and more aligned with real-world behavior.

Evolving Minara Agent Core

At the center of Minara’s intelligence is a structured multi-agent core built around the DMind model, designed to become increasingly domain-specific over time.

Agents within the Minara system handle things such as data retrieval, market reading, and strategy design. Their playbooks are iteratively refined using real user workflows and internal evaluation. As a result, the system grows more crypto-specific in how it reasons and what it flags.

This evolving core powers both Minara’s upcoming Trading Copilot and its Agentic Finance layer. The same stack that answers questions also decomposes goals, tests scenarios, surfaces trade-offs, and supervises prompt-defined agents as they monitor markets and execute predefined logic. As the reasoning core improves, every layer on top of it get sharper, making the intent-to-execution loop more reliable with each iteration.

From NFTGo to Minara: Years of Digital Asset Analytics

Minara’s judgment is shaped by years of digital-asset analytics. Because it inherits the analytical DNA of NFTGo, one of the earliest and most trusted infrastructures in the Non-Fungible Token (NFT) ecosystem.

What matters is not simply the number of datasets connected, but the experience gained in modeling, filtering, and contextualizing those datasets across multiple market cycles. This accumulated intuition allows Minara to read raw signals the way a seasoned analyst would, recognizing patterns, understanding regimes, and distinguishing noise from information.

The Future of AI-Powered Digital finance

The future of digital finance is shifting from fragmented tools to an intent–execution paradigm. As analysis, strategy, and execution increasingly begin with a single sentence, and information across crypto and traditional markets is understood through one coherent lens, finance becomes more open, more automated, and more native to language. This transition won’t be led by any single product, but by many teams making complex infrastructure simple and professional capability widely accessible.

With this full launch, Minara isn’t claiming to be the endpoint, but it does signal the path forward, where intelligence becomes the primary interface for digital finance and users remain firmly in control.

Acknowledgments — Launch Partners & Evangelists

Minara’s full launch is the result of a broader ecosystem effort. We’re grateful to Circle, Particle Network, CoinGecko, KiteAI, RootData, DMind, and imToken, whose infrastructure and data connectivity help us deliver a smoother intent–to–execution experience across analysis, trading, and automation.

We also want to thank our launching evangelists — early believers who didn’t just test Minara, but actively carried it into the world. Their feedback, scrutiny, and public conviction helped shape Minara’s intelligence, sharpen our product direction, and introduce Minara to far more users than we could have reached alone.

Together with these partners and evangelists, we’re laying the groundwork for an intent-driven era of digital finance.

Get started

If you’d like to explore Minara further and start using Minara today, you can check out:

• App: https://minara.ai
• Homepage: https://minara.ai/home
• Docs: https://docs.minara.ai
• X: https://x.com/minara
• Blog: https://minara.ai/blog
• Community (Discord): https://discord.com/invite/minaraai