NOSIBLE is a search engine that turns the web into real-time intelligence.
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.
Query the entire web the way an agent would. Grounded, dated, ranked answers in real time, with the source behind every line. Built for the systems that read before they act.
Grounded, dated, ranked results in real time. Ask a question to see live matches from today's index.
The largest database of world events ever mined from the web. Plugs into backtesting frameworks, risk models, and simulation engines. You name it.
Building on Search? Claim a free API key.
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.
Bring worldwide web surveillance inside your firm. Tell us what you need to see and we will get you in front of the right surface.
Building today? Get a free Search API key in under a minute. No card, no call.
Yum! Brands is selling Pizza Hut units for $2.3 billion, with fees expected to offset corporate expenses. The struggling 68-year-old chain, facing competition and outdated restaurants, is being sold for approximately $2.7 billion. Separately, Yum China will purchase the Pizza Hut China brand for $1.2 billion, gaining strategic flexibility for innovation. This comes after UK store closures put 1,200 jobs at risk, leading to permanent restaurant closures.
Space Exploration Technologies Corp. experienced a historic market rally following its public debut, surging over 20 percent in its first full trading day. Retail investors drove massive volume, adding hundreds of billions in value and pushing the aerospace giant past Amazon. This frenzied IPO performance secured SpaceX a spot among the top five most valuable global companies.
The Bank of Japan increased its key interest rate to 1% on July 16, marking the highest level since 1995. This historic decision aims to combat rising inflation driven by soaring global energy prices and the Middle East conflict. Wholesale prices surged over 6% in May, prompting the central bank to end decades of ultralow rates to stabilize the economy and control price pressures.
Tata Consultancy Services announced a $70 million financial provision following the US Supreme Court's decision to decline review of a trade secrets lawsuit. The dispute stems from a 2019 case filed by Computer Sciences Corporation, now part of DXC Technology. This ruling confirms the legal loss for the Indian IT giant, impacting its first-quarter fiscal results for FY27.
The Punjab government formally approved and presented a Rs5.9 trillion budget for the 2026-27 fiscal year, emphasizing relief and growth. Chief Minister Maryam Nawaz Sharif and Finance Minister Mujtaba Shuja-ur-Rehman led the initiative, focusing on healthcare and development. The tax-free plan aims to boost the provincial economy through significant financial outlays approved by the cabinet.
Governor Hochul announced over $2 billion in tax relief for New York property owners through the School Tax Relief program. Nearly three million residents, including seniors and homeowners, will receive checks or exemptions this summer. The initiative aims to reduce property tax burdens across the state, with specific distributions noted for New York City and Western New York regions.
France's domestic intelligence agency DGSI has terminated its contract with American AI giant Palantir to replace its data-analysis tools with a homegrown French rival. This strategic shift, announced by Prime Minister Sébastien Lecornu, aims to enhance digital sovereignty and reduce reliance on US technology following contracts signed since 2016.
Internal contractor documents reveal the White House ballroom project cost has surged to $600 million, contradicting earlier claims that private donors would cover expenses. Records show taxpayers were always expected to fund half the budget, a fact the administration knew months before public announcements. This revelation has sparked controversy and widespread unpopularity among Americans regarding the use of public funds for the East Wing renovation.
Japan's SoftBank Group has introduced a new AI-driven cybersecurity service developed with OpenAI technology. This initiative aims to protect critical infrastructure and companies from artificial intelligence-enabled breaches. The launch marks a significant shift in digital security strategies, focusing on vulnerability detection and defense against evolving cyber threats within the Japanese market.
The U.S. military is planning to build a permanent, war-ready stockpile of Marine Corps weapons and equipment in Victoria, Australia. This initiative, approved last July, marks the first such facility for the Marine Corps in Australia. The stockpile aims to support military programs and enhance U.S. presence in the Indo-Pacific region, positioning assets beyond the reach of most Chinese weaponry.
Mass demonstrations erupted in Tirana, Albania, against a luxury resort project linked to Ivanka Trump and Jared Kushner. Citizens cite environmental damage, corruption, and uncontrolled tourism as primary grievances. The unrest, dubbed the Flamingo Revolution, has persisted for weeks with protesters gathering outside the prime minister's office to defend their homeland from the megaproject.
The US Senate narrowly rejected a procedural motion to advance a war powers resolution aimed at halting American military operations against Iran. Despite a prior House vote supporting the measure, the Senate failed to secure the necessary votes to direct President Trump to withdraw forces. This legislative defeat occurs as diplomatic efforts for a peace deal continue, leaving executive war powers unchecked for the immediate future.
