INC4’s cover photo
INC4

INC4

IT Services and IT Consulting

Kiev, Kiev 706 followers

We make decentralised products work🚀 INC4 is your team for AI-enhanced blockchain technologies of any complexity

About us

We make decentralised intelligence work 🚀 INC4 combines blockchain technology with artificial intelligence to solve real business problems. With 80+ successful projects including AI-powered DeFi platforms, smarter smart contracts, NFT marketplaces, and advanced blockchain products, our team brings technical expertise and business knowledge to every challenge. Whether you need new blockchain solutions with AI capabilities or want to add intelligence to your existing systems, INC4 has the experience to turn your ideas into reality. Let's build decentralised technology that delivers genuine value. Feel free to contact Us!

Website
http://inc4.net/
Industry
IT Services and IT Consulting
Company size
51-200 employees
Headquarters
Kiev, Kiev
Type
Privately Held
Founded
2013
Specialties
blockchain and development

Locations

Employees at INC4

Updates

  • #Monaco is where some conversations stop being theoretical. At WAIB Summit Monaco, our Head of Strategy & Ventures, Julia Stadnyk, led a discussion on one of the defining questions for the next era of finance: - Who wins, who gets left behind, and what happens when Bitcoin, digital assets, AI and regulation start shaping the same market at the same time? This is the kind of conversation we believe matters, because the infrastructure behind it is being rewritten right now. Access, trust, compliance, intelligence, execution, user experience - all of these layers are starting to converge. And the companies that understand this shift early will not simply adapt to the future of finance. They will help define it. Proud to see Julia representing INC4 on stage in Monaco and bringing our perspective into one of the industry’s most important conversations 🔥

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  • Another big step unlocked! Our latest paper is live - and it captures one of the questions we keep coming back to in our AI work: - what should an agent remember, and what should it forget? The idea is simple but powerful: - better AI agents don’t need to remember everything. They need to know what to forget. https://lnkd.in/dXG-4hua

    Everyone's racing to give AI more memory. We went the other way. Most agents fail not because they forget but because they remember the wrong things: - yesterday's market sentiment - last week's news - stale context that made sense 3 months ago but just kills decisions today... So we built a framework around governed forgetting. Three ideas behind it: 1. The system feeds context to the agent, not the other way around 2. Outdated knowledge gets dropped the moment new evidence contradicts it 3. Аgent works with what matters now, not its entire history 📌 46,000 evaluations. 83% lower latency. 97% fewer stale answers. Big thanks to Ailiya Borjigin and both True Trading & INC4 teams for making this real 🔥

  • Next week, our INC4 leadership will be in #Monaco🔥 We’ll be there for WAIB Summit Monaco week - from the F1 Paddock experience to conversations with builders, founders, investors, and teams working at the intersection of AI, crypto, finance, and product strategy. Julia Stadnyk will also take the WAIB Summit Monaco stage to talk about how crypto and Bitcoin are rewriting finance. If Monaco is on your map next week, come say hello😊

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  • AI is moving from “help me think” to “do this for me.” That shift is HUGE. But the more AI can act, the more important it becomes to control what it is allowed to touch. Our CEO Igor Stadnyk shared more on this in his latest piece for CCN - Crypto Citizens Network, esp. through the lens of AI trading and agentic finance. https://lnkd.in/dFrTDfWq

    The dangerous part of AI is not that it can think. It is that it can ACT. A bad summary wastes time. A bad action can move money, trigger workflows, open positions, or create losses nobody meant to create. What still surprises me is this: - Before, we used to think twice before accepting cookies. Now we give AI access to files, tools, accounts, credentials, sometimes even the whole computer easily - often just to solve what feels like a small task. That is where the risk starts. In many cases, you think you delegated one simple thing. In reality, you may have given the system much more permission than you realize. So... Smarter AI matters. But smarter boundaries matter even more Shared more on this in my latest piece for CCN - Crypto Citizens Network. Link in the first comment.

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  • EXCLUSIVE 🔥 Where is AI actually going? Our CEO Igor Stadnyk shares his view in the interview below👇

    AI won’t beat top quant firms. And that’s not even the point. Firms like Jane Street or Two Sigma won’t be outperformed by AI, not on signal quality & not on execution speed. Because they have structural advantages: - infrastructure, capital, data access, and decades of optimization... You can’t close that gap by just adding AI on top. So the real question is different: - where does AI actually add value? Shared some thoughts on this in a recent piece 👇 (link in the first comment)

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  • Safe execution will be a key layer for AI agents. If you haven’t heard about #SAE yet - check out the research by our CEO Igor Stadnyk and team.

    AI is moving very fast, and AI agents are already shifting from analysis to execution. That changes the problem. The main risk is no longer only model quality. It is SAFE execution. So we introduced the first version of #SAE (Survivability-Aware Execution) - a framework for safer AI agent execution under real-world conditions. Early results already show the approach works. Paper is now out - link in the first comment.

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  • Many've posted from Denver. Few explain what actually changed. ETHDenver 2026 was loud - as always. But beyond the panels and side events, there were real shifts happening. Our CEO Igor Stadnyk shares his take on what’s signal vs narrative: across AI agents, trading infrastructure, and on-chain capital flows. If you’re building in AI x Crypto, this breakdown is worth your time 💡

    ETHDenver 2026 felt like a 12-month reality check. 2025 was hype. 2026 was execution. I just shared a full write-up on what I was wrong about and what actually changed since 2025. If you’re building in crypto (especially AI x crypto), here’s the simple playbook I’m taking from this week: - Don’t optimize for attention. Optimize for outcomes. - Don’t pitch “future users”. Find real users now. - Build for retention, not just launches. - If you use a token, be clear about rights and accountability - not just vibes. This year Denver wasn’t loud. It was clarifying.

  • Meet our Igor Stadnyk in Denver next week!

    Heading to Denver for ETHDenver next week. One of my favourite events. Why I keep coming back: - best conversations happen with people who actually ship - you catch ecosystem signals early (before they become obvious) - I always leave with at least one idea worth building If you’re attending — say hi in Denver 👋 PS: last year’s photo = me vs the sponsor wall. this year = new #BUIDL City mode.

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  • #Ethereum stopped mining. #Infrastructure problems are still there. When Ethereum moved to Proof-of-Stake, mining disappeared from the main network. But one thing stayed exactly the same: 👉 performance still depends on how fast and reliably data moves through the network. In one of our projects, we worked with an ETH-focused mining infrastructure to: ✔️ reduce uncle rate ✔️ speed up block and transaction propagation ✔️ improve node stability under load No core protocol changes. No “magic buttons”. Just smarter network-level optimization. The result? 📌 Faster propagation. Fewer losses. More predictable performance. Why does this still matter today, after The Merge? Because the same challenges exist across the Ethereum ecosystem: - validators - Layer-2 networks - DeFi protocols - high-load blockchain products Consensus models evolve. Bottlenecks don’t magically disappear. That’s why infrastructure engineering is still one of the biggest competitive advantages in blockchain. At INC4, we don’t treat blockchain as hype or legacy tech. We treat it as a complex system, where speed, reliability, and scalability decide who wins 🥇 #case #INC4

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