
MN7R
Private operating workspace for commodity brokerage teams across Deals, Clients, EXE, and controlled execution visibility.
Brokerage operations, market intelligence, benchmark layers, trading tools, and AI-assisted knowledge workflows — built as one connected ecosystem of working systems rather than isolated product sites.



AMI does not present one monolithic platform. It presents a market-infrastructure stack: execution workflows, benchmark products, monitoring surfaces, market-facing commercial fronts, and a bounded AI knowledge layer around physical commodity markets.
Execution discipline, counterparty context, post-trade control, and role-based workflow visibility.
Operational monitoring for prices, logistics, weather, policy, freight, and changing market conditions.
Reference-price infrastructure for fragmented spot markets and repeatable local benchmark launches.
Commercial and product surfaces that translate infrastructure into concrete trading, liquidity, and partner narratives.
Bounded context, retrieval, and research support across the infrastructure stack without pretending that AI replaces market judgment.
The ecosystem already includes working public products, partner-facing surfaces, and operational systems. AMI exists to show how they reinforce each other.

Private operating workspace for commodity brokerage teams across Deals, Clients, EXE, and controlled execution visibility.

Configurable commodity-signals terminal combining market data, logistics, weather, policy, freight, and operational context.

Public Ukrainian spot benchmark infrastructure for grain and oilseed reference pricing, snapshots, and market visibility.

Benchmark platform for daily Ukrainian grain and oilseed export price references developed with the Ukrainian Grain Association.

Reusable launch platform for local commodity benchmarks: methodology, respondent workflows, calculation, publishing, and distribution.

Structured market-liquidity and execution environment designed to turn fragmented brokerage activity into scalable infrastructure.
Cortex is not presented as a separate AI startup product. It is the bounded knowledge and retrieval layer used to support context, research, project memory, and agent-assisted workflows across the commodity infrastructure stack.
AMI is built around deployed products, public benchmark pages, partner-ready landings, documented methodology, and operational tooling. It is not a concept portfolio and does not depend on invented traction claims.
The ecosystem includes public methodology, benchmark logic, guides, and open explanatory surfaces because physical commodity infrastructure needs credibility, not just UI polish.
AMI is designed to support partnership conversations, commercial discussions, and concrete entry points into existing ecosystem products without forcing one engagement model.
For organizations interested in supporting, accelerating, or extending the infrastructure stack itself.
For firms exploring custom systems, digital transformation, AI-enabled operations, consulting, partnership, or embedded product leadership around their workflows.
For organizations interested in a specific live product, benchmark, monitoring surface, or partner-facing infrastructure module.
AMI is currently operated by Anton Biletskyi-Volokh in France under the AMI trade name. The ecosystem can be discussed directly for partnership, product, consulting, or strategic collaboration conversations.
AMI is an ecosystem surface, not a claim that all infrastructure is one legal company.