We read the world in 12 languages and turn it into risk intelligence. Real-time OSINT signals for supply chain, ESG & due diligence.
Prague, Czech Republic
Joined October 2012
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After the EU Omnibus, many mid-sized companies think supply chain due diligence is no longer their problem.
There's one date they may be missing: 14 December 2027.
A short thread ↓
So here's a practical question for procurement and compliance teams:
If a local outlet in your supplier's region reported labour abuses tomorrow, in the local language, how would you find out?
That's what open-source monitoring is for.
Not more paperwork. Knowing before someone asks you.
We read 2M+ articles a day in 12 languages, so the local story doesn't stay local.
semantic-visions.com/busines…
So here's a practical question for procurement and compliance teams:
If a local outlet in your supplier's region reported labour abuses tomorrow, in the local language, how would you find out?
That's what open-source monitoring is for.
Not more paperwork. Knowing before someone asks you.
We read 2M+ articles a day in 12 languages, so the local story doesn't stay local.
semantic-visions.com/busines…
One airport closed in Riyadh. In Kerala, India, 22 Gulf flights were cancelled in a single day.
Indian airlines have suspended Saudi flights until 14 November.
The next link to watch: Kerala's fresh produce exports to the Gulf.
Tracked in svEye.
Supply chain problems rarely start as headlines. They start as a small local news story about a delayed shipment, a factory fire or a new regulation. Often it’s in a language your team doesn’t read. svEye picks up those early stories. Every day it reads millions of news articles in 12 languages and turns them into clear risk signals about the companies, suppliers and markets you follow.
The video goes from a single search to a finished report in about a minute.
It’s built for risk, compliance, procurement and market intelligence teams who need to hear about a problem before it reaches their desk.
Try it yourself: sveye.semantic-visions.com
A backtest becomes interesting when you try to break it.
4 checks: out of sample, point in time, 30 to 60 min timing lag, transaction costs.
The signal got smaller, but it stayed visible.
Part 3 of 3: semantic-visions.com/white-p…
Backtest, not live results. Not investment advice.
Where is information advantage strongest? Out-of-sample alpha, 2022 to 2026: Nasdaq 100: 9.81% 990 global stocks: 7.48% 502 small and mid caps: 23.26% The edge was greatest where coverage was thinner.
Part 2 of 3: semantic-visions.com/white-p…
Same question to Claude: "List all Tier 3 suppliers of Rheinmetall."
Without svEye: "That would be guessing." With the svEye MCP connector: 18,243 suppliers mapped, about 15,270 at Tier 3.
semantic-visions.com/mcp-con…
“Navis is fully functional.”
That was the message from the CEO of Durban Gateway Terminal on 2 October.
But the wider timeline told a more complicated story.
In early July, vessels at Durban were waiting around four days. By early August, before any software change, anchorage waits had already climbed to nearly seven.
The new terminal operating system went live on 15 August. Afterwards:
▪️Weekly throughput dropped by 26%
▪️Some shipping lines reported waits of 8–12 days at the terminal
▪️By September, average anchorage time was put at 214 hours, around nine days, according to opposition party ActionSA
In early October, the figure of 8.3 days appeared twice. The transport minister called it the improved average. The terminal’s CEO called it the peak of the disruption.
The target is 24 hours.
None of these statements needs to be false.
They simply answer different questions.
▪️ Was the software delivered? Yes.
▪️ Was the situation improving? Possibly.
▪️ Was the terminal meeting its operational target? No.
That difference matters if your business depends on the cargo moving through Durban: every extra day at anchor means storage, demurrage and missed delivery windows further down the chain.
Good intelligence does not repeat the latest statement.
It reconstructs the timeline, compares claims with operational data and shows what the situation means for the companies exposed to it.
The headline tells you what was said.
The timeline tells you what is happening.
Semantic Visions retweeted
@SemanticVisions will show at @ForcesForum how open sources become early warning. Its svEye platform processes more than 2 million articles a day in more than 12 languages and links the signals to specific companies, owners and suppliers - weeks before they reach mainstream news
Most company problems are visible months before they hit the numbers. We looked back at 3 well-known US companies. In every case, the warning showed up somewhere else first.
Same pattern at a household brand: 51 days early. And at a home-improvement retailer it worked in reverse. Good news came first, and the numbers followed weeks later. The numbers confirm. They don't warn.
Which signal moved first in each case? We broke down all 3, step by step.
semantic-visions.com/insight…
