EONYX is an R&D studiohelping you integrate AI into your business processes.
Applied AI deployment for real-sector B2B. We turn operational expertise into workflows, and deploy controlled AI systems on real data.
Where data complexity
hits the money.
- 01Distributors of building & finishing materials
- 02Companies with complex product catalogs
- 03Importers and exporters
- 04Manufacturers and suppliers with B2B sales
- 05Teams where managers build quotes and reconcile stock by hand
- Manual preparation of commercial offers
- Errors in prices, stock levels and product naming
- Chaos in supplier data: many formats, no structure
- Loss of expertise when managers leave
- Long staff onboarding
- No single source of truth
The value is moving,
from models to deployment.
The global AI market is at an inflection point: value is shifting from the models themselves to embedding them in real business processes. This isn't our interpretation. It's the move of the industry's largest players.
Launched a separate AI-deployment company with over $4B in investment, embedding engineers directly inside client organizations to redesign their processes around AI.
With Blackstone, Hellman & Friedman and Goldman Sachs, announced an enterprise-services firm where applied engineers work side by side with the client's team.
When leaders with billion-dollar budgets move exactly this way, it confirms the direction. The market's core problem isn't model capability. It's the gap between what a system can do in an experiment and what a business can safely put into production. That gap is what EONYX addresses.
We deliberately don’t promise an “autonomous system that replaces people”. Our principle is supervised autonomy: AI acts, but through rules, logs, access rights, result checks and human sign-off at the critical points. An AI that names a price or a stock level “roughly right” isn’t innovation. In real business it’s a source of losses. Removing that risk is our value.
We preserve expertise.
We build agents.
We build them into your process.
Audit
First, diagnosis. A map of the processes, priority scenarios, a data and risk assessment, and an MVP plan. You learn where AI actually moves money, before a single line of code.
- Process & bottleneck map
- Priority scenarios
- Data & risk assessment
First agent
One applied agent for one clear job: price monitoring, buyer search, data collection and normalization. With logs, access rights and human sign-off. Trust is built through the absence of risk, not through promises.
- One scoped process
- Supervised autonomy
- Data & approval trail
Scale
Every project feeds the reusable core: normalization modules, connectors, anti-hallucination tests, a knowledge-base template. From isolated nodes to an orchestrated system. Custom work feeds the product; it doesn’t eat it.
- Reusable core
- Node orchestration
- End-to-end control
Ways to start
right now.
Not a finished product line with a price list. These are ways to get into the work, each building on what we've already done.
AI Audit & Deployment Roadmap
Custom AI Agent MVP
B2B Knowledge Base + Assistant
Market / Price Intelligence
First nodes.
Not yet orchestrated.
What already runs isn’t a random portfolio. It’s the first nodes of the target architecture. Three of them are variations of one class of task: autonomous collection, normalization and structuring of external data.
Shipped. Paid.
AI advisory for a private entrepreneur
Assessment of where AI applies in the business. A paid engagement, not a demo.
Price-monitoring system for a building company
Regular collection and structuring of competitors' building-material prices.
Buyer-search system for an exporter
Autonomous search for potential B2B buyers of stone products.
Domain knowledge base + content pipeline
Supplier photos, texts and technical data; LLM-driven content for ALTACO comms.
Let's start
with an audit.
Tell us about the process you need to fix. If there's an agent worth building, the audit will show it, and you can stop at any step. Each format below builds on work we've already done.
- AI Audit & Deployment Roadmap
- Custom AI Agent MVP
- B2B Knowledge Base + Price Intelligence