Know everything, all the time. Every event on Earth,
structured, in real time. This is worldwide web surveillance.
Every page indexed, every signal tagged, every fact dated. Search and surveillance for the agents of every fund, lab, and desk.
▮ Open web · resolvingWe crawl the web without limits. We monitor every interest, in every geography and language.
Our search engine connects similar documents through time creating a giant point-in-time network.
AI discovers the events inside and files them into a deep ontology of genres, entities, and signals.
The world is too big for any team to watch by hand. With AI, you finally can. Geopolitical, company, macroeconomic, or liquidity, every kind of risk signals on the web before it moves. The warning signs are there to read.
The same index of the entire web, served two ways. SEARCH, for the agents that query it, and WORLD, the event database you plug into your models.
Search the open web for dated sources agents can cite and inspect directly.
Grounded, dated, ranked results in real time. Ask a question to see live matches from today's index.
A live event database from the open web for models and backtests.
Ready to evaluate NOSIBLE with your team? Start a 90-day trial.
Every notable event we have discovered, dated, and ranked. Always growing.
Reliable infrastructure for the agents you build on top of us. Search latency you can plan against, crawl pulse that does not flinch.
World is the data layer. The edge is what you build on it. Using AI, you could:
Generative AI needs the whole web. A backtest only tells the truth when that web is point-in-time. So we treat every page like a witness and prove when it was really published, five ways.
We log every point-in-time infraction a site commits, then put repeat offenders in timejail.
We take a site's first statements from its script tags, meta tags, sitemap, and URL, then check they tell the same story.
We find independent sites that published the same story at the same moment. Corroboration, not a single source.
We check the story holds up in time. If the site or the people in it did not exist yet, the date is a lie.
We trace the raw text back to a dated web archive and prove the exact match, token for token.
Backtests that never trade on tomorrow's news.
Traditional risk models cannot read words, and structured data always lags. The firms that win read the web first. Here is what that looks like by mandate.
Turn world events into point-in-time signals.
Your models price what structured data can measure. NOSIBLE gives them the rest of the world, as dated signals you can trade and backtest without look-ahead bias.
Price the risk the data misses.
The risks that move your book surface on the web long before the tape. Catch them across every holding while there is still time to act.
Early warning across the whole book.
Every counterparty, sector, and geography you carry is being discussed somewhere right now. Watch all of it at once, in 95 languages, and see distress first.
Surveillance across perils and exposures.
Climate, conflict, and health risks emerge in the open before they reach a model. Track them the moment they surface, by peril and by region.
Evidence at the speed of the engagement.
Build a defensible, dated view of any market or competitor in hours, not weeks. The evidence is already on the web. NOSIBLE makes it searchable.
Intelligence across every market you touch.
Your suppliers, regulators, and rivals operate in every country you do. Keep watch on all of them from one live record of the web.
Ground-truth training data for foundation models.
Frontier models are only as good as what they read. NOSIBLE supplies dated, enriched world events at web scale to pretrain and align models on how reality actually moves.
Long-form from the team on how we index, connect, and enrich the open web, plus the open models behind NOSIBLE. Read the writing, or run the models.
Two of the enrichment models behind NOSIBLE, free on Hugging Face. Yours to run, fine-tune, and build on.
We build alongside the firms and platforms that move alternative data forward.
Find us on the Neudata sponsor tour, from London to Hong Kong to New York.
We are a small team building worldwide web surveillance for AI. Four open roles right now.
Own NOSIBLE's US revenue from first call to close. You know how data sells into capital markets and can run a technical cycle without hand-holding. Founding commercial hire before web intelligence becomes a standard line in every quant fund's data budget.
Own the legal posture of a search engine at web scale: robots.txt, takedown intake, retention windows, copyright posture, and the cross-border data map. You read primary law and write plain English. First dedicated compliance hire. You build the function, not inherit someone else's risk register.
Build the ranker, retrieval index, and agent layer behind a search engine read by machines as often as people. Comfortable in Rust or Python at the hot path, fluent in transformers. Ship distilled rerankers and signal extractors that hold under live traffic, with full access to the crawl and corpus.
Turn dated web evidence into tradable signal: event studies, sentiment factors, regime-aware overlays, and backtests that hold out-of-sample. You write the research note a PM forwards. Comfortable with point-in-time hygiene. You help shape what the signal layer of this product becomes.
Review the diligence documents, schema, sample data, and delivery options. Then start your trial.
Download the FISD DDQ and policy notes.
Open the dictionary, sample, and full dataset statistics.
Choose scope and delivery, then submit the trial form.
Artificial intelligence stocks drove Wall Street gains in early July 2026, with chip makers leading the rally despite Brent oil prices climbing above $90. This surge occurred alongside escalating tensions as the U.S. conducted strikes in Iran for ten consecutive nights. While AI sectors showed strength, broader market indices like the S&P 500 and Dow Jones experienced slight declines by late July due to the oil price spike and potential interest rate hikes by the Federal Reserve.
Cracker Barrel Old Country Store Inc. announced the sale of its Maple Street Biscuit Company subsidiary to Biscuit Belly. This strategic divestment involves 35 locations selected for their geography and established teams. The move aims to improve overall profitability following a challenging year marked by customer disputes and operational hurdles for the Southern dining chain.
The Trump administration enacted 50% tariffs on most Canadian imports, escalating a North American trade dispute. The White House cited discriminatory treatment of American exports, including restrictions on alcoholic beverages and taxes on U.S. vehicles. This move targets the automotive, dairy, and alcohol sectors, raising the overall U.S. tariff rate on Canadian goods significantly while addressing grievances over trade barriers and wildfire smoke assistance.
A federal judge in California issued a temporary restraining order halting the proposed $110 billion merger between Paramount and Warner Bros. Discovery. This antitrust action, led by a coalition of state attorneys general, pauses the deal for at least two weeks to allow for further legal review of the transaction's impact on market competition.
Prime Minister Andy Burnham announced a significant reduction in household energy costs by removing VAT from electricity bills. This measure marks the first major economic action of his new government, aiming to alleviate the ongoing cost-of-living crisis. The policy targets immediate relief for families struggling with high utility expenses and signals a shift in fiscal strategy following recent cabinet changes.
Singapore maintains its position as the world's most powerful passport holder in the 2026 Henley Passport Index, granting visa-free access to 192 destinations. This release highlights a significant disparity in global mobility as geopolitical tensions rise and international peace declines. The report underscores how passport strength correlates with travel freedom despite worsening global stability conditions.
Yemen's Iranian-backed Houthi forces declared a maritime embargo targeting Saudi vessels, escalating tensions in the Red Sea. Saudi Arabia condemned the threat and vowed to protect its oil tankers, which have already turned back due to rising risks. The situation involves missile attacks on Saudi airports and US-Iran conflict dynamics, causing significant shipping disruptions through the Bab el-Mandeb strait.
A critical software malfunction in New Jersey caused approximately 6,600 non-citizens to be mistakenly added to official voter rolls before the 2024 election. Governor Phil Murphy confirmed that nearly 400 of these individuals cast ballots, violating election laws. The state has immediately ordered the removal of these erroneous registrations and is investigating the technical failure to ensure future electoral integrity and prevent similar governance lapses.
Microsoft has committed billions to expand Mistral AI's infrastructure in France, focusing on data sovereignty. The deal integrates Mistral models into Azure Local and offers them via Copilot to enterprise clients. This strategic partnership strengthens European AI capabilities by leveraging Microsoft's cloud resources and Mistral's computational power for regulated sectors.
Gold prices climbed more than 1% to $4,070 an ounce as investors reacted to fresh mediation efforts aimed at resolving the US-Iran conflict. Reports of renewed Middle East diplomatic talks triggered a shift in market sentiment, reducing fears of further escalation. This de-escalation narrative, combined with brisk central bank buying, drove the precious metal higher while simultaneously pausing the oil rally.
The United States launched its tenth consecutive night of airstrikes against Iran, aiming to degrade capabilities to attack commercial vessels. Simultaneously, Iranian forces targeted tankers in the Strait of Hormuz and struck bases in Bahrain. This escalation marks a full-scale conflict involving troop deaths and maritime blockades, intensifying regional tensions significantly.
Defense Secretary Pete Hegseth testified before the Senate Appropriations Committee on July 21, 2026, revealing that military operations against Iran have already cost the United States $37.5 billion. The hearing focused on President Trump's supplemental funding request, with Hegseth and other officials facing questions from senators regarding the escalating financial burden of the ongoing conflict.
