Patent Data, Still Searching and Downloading One File at a Time? Get the Entire Database Instead

 

When conducting patent or trademark research, you probably search by keyword on a portal or search platform, download the results to Excel, and use them to prepare reports.

But what if you need to build an in-house system, train an AI model, or analyze millions of records at scale? Searching and downloading data every time quickly becomes inefficient.

That is where bulk IP data supply comes in.

WIPS provides large-scale IP databases that can be integrated directly into your own systems. Let’s take a closer look at what makes WIPS IP data different and how it can be used.

1. “Data for People” vs. “Data for Systems”

One of the most common questions is how purchasing IP data differs from simply downloading search results. The key difference is the purpose.

Search Result Downloads — Data for People

Users search for the information they need and download selected results to Excel for reports, research, or other business documents.

Data Products — Data for Systems

Large-scale patent, trademark, and design data covering more than 400 million records across 112 countries can be loaded directly into your own servers and systems.

Instead of being reviewed one record at a time, the data can power automated systems such as internal dashboards, analytics platforms, and AI models.

2. Why Not Just Use Free Public or Raw Data?

You may wonder, “Why not simply download free data from public databases or national IP offices?” The problem is that raw IP data is extremely difficult to use as-is.

Different formats across countries

Application numbers, publication numbers, company names, and other bibliographic information are represented differently from country to country and across languages. Standardizing them into a single database requires significant time, expertise, and cost.

Extensive processing required

Raw data does not necessarily provide analysis-ready information such as patent family and citation relationships, claim type classifications, or extracted technology keywords in a clean and structured form.

WIPS IP Data is preprocessed and standardized before delivery. Numbering systems from more than 22 countries are converted into a unified format with over 99.99% accuracy, while company names written differently across languages and jurisdictions are consolidated under standardized entity codes.

The result is analysis-ready data that can be used immediately for analytics, system integration, or AI training.

Beyond Patent Publications: More Than 500 Million Value-Added Data Records from WIPS

WIPS provides a wide range of enriched and structured data that cannot be found directly in patent publications.

· Patent Family & Citation Relationships

Applications filed in different jurisdictions are grouped by tracing priority relationships, while cited documents are linked by citation depth for more sophisticated relationship analysis.

· Claim Type Classification

Claims are classified into independent claims, dependent claims, and canceled/deleted claims.

· Keyword Extraction & Document Field Segmentation

Key technology terms are extracted from patent specifications, while detailed descriptions are structured into meaningful fields such as technical field, problem to be solved, solution, and effects.

· Patent Metrics & Indices

Nine types of patent metrics are available, including CPP (Citations per Patent), PFS (Patent Family Size), PII (Patent Impact Index), and TS (Technology Strength).

· AI-Based Patent-to-Industry Classification

Patents are mapped to manufacturing sectors under the Korean Standard Industrial Classification (KSIC), creating structured links between patent technologies and industries.

· Unified Company Codes

Different variations of company names are normalized and consolidated under a single company identifier.

gettyimagesbank.com

3. How Can Patent Data Be Leveraged in the AI Era?

More companies are now building their own AI, LLM, and RAG (Retrieval-Augmented Generation) systems. WIPS provides IP data products specifically designed to support these AI development environments.

AI-Optimized Summary Data

Key technologies, technical problems, solutions, and effects are summarized into concise information optimized for AI training and retrieval.

Structured Document Fields

Long and complex patent specifications are segmented into meaningful sections, helping AI models interpret and process patent documents more effectively.

AI- and Big Data-Ready Formats

Data can be delivered in developer-friendly formats such as JSONL and Parquet, making it easier to integrate directly into AI and big data workflows.

4. How Is WIPS IP Data Used in the Real World?

Here are some examples of how IP data can create practical business value.

1) R&D Strategy and Design-Around

Patent filings and changes in competitors’ patent rights can be integrated with internal R&D systems via API. Instead of repeatedly conducting manual searches, R&D teams can continuously access updated patent intelligence and use it to guide technology development and design-around strategies.

For example, automotive parts manufacturer COAVIS used WIPS patent data to support its R&D activities and filed 23 patents for core technologies.

2) New Product Development and Technology Scoring

Technology keywords and patent evaluation indicators—such as citation and market coverage metrics—can be analyzed to identify new business opportunities and objectively assess the value of technologies.

3) Dispute Prevention and Risk Management

Companies can monitor potentially infringing trademarks in overseas markets or analyze patterns in trial and appeal decisions to identify potential IP risks before they develop into disputes.

4) Corporate Investment and Evaluation

By combining corporate financial information with qualitative patent indicators, investors and analysts can gain a clearer picture of a company’s underlying technological capabilities and innovation potential.

5. How Is the Data Delivered?

WIPS IP data can be provided in a variety of ways depending on your company’s IT environment, including API integration and file-based delivery in formats such as XLSX, CSV, and JSON.

After receiving the initial complete dataset (Backfile), customers can receive only newly added or updated records (Current Data) on a weekly, monthly, or quarterly basis.

This makes it easy to maintain an up-to-date internal IP database without repeatedly rebuilding or downloading the entire dataset.

gettyimagesbank.com

Go beyond searching patents one at a time. Build your own IP intelligence infrastructure with WIPS data.

For inquiries about WIPS IP data products and bulk data supply, please contact global@wips.co.kr.

Reducing Aviation's Climate Impact with Small Altitude Changes: AI and Contrail Mitigation Patents

Google and Cathay Pacific’s real-world flight trial shows how relatively small changes in altitude could help reduce aviation’s climate impact. We looked at related patents to see how prediction, sensing, aircraft control, fuel management, and even lasers could contribute to the same goal.

What if an aircraft could reduce its climate impact simply by flying a little higher—or a little lower?

On September 7, 2026, Google and Cathay Pacific announced results from a real-world trial of contrail avoidance technology. More than 80 flights followed contrail-avoidance routes, and according to Google’s analysis, the warming impact of contrails from those flights was reduced by an estimated 40%.

There is an important distinction here: that 40% refers specifically to the warming impact of contrails. It does not mean that fuel consumption, CO₂ emissions, or aviation’s overall environmental impact fell by 40%.

Still, the trial is significant because it suggests that relatively small adjustments to existing flight operations could help reduce part of aviation’s climate impact.  1)

Those White Lines in the Sky Can Affect the Climate?

The word contrail is short for ‘condensation trail’. Contrails are ice-crystal clouds that form when aircraft exhaust meets sufficiently cold and humid air at high altitude.

Contrails from an aircraft
<gettyimagesbank.com>

Most contrails disappear quickly. Under certain atmospheric conditions, however, they can persist and spread into wider cloud formations. Persistent contrails can both reflect incoming sunlight and trap heat that would otherwise escape from the Earth. Overall, their net effect is understood to contribute to warming.2)

So what if aircraft could identify the atmospheric regions where persistent contrails are most likely to form—and simply avoid them?

That is exactly the idea Google and Cathay Pacific are putting to the test.

AI Finds a Way Around Contrails

The basic idea sounds surprisingly simple: identify areas where persistent contrails are likely to form, then make a small altitude adjustment to fly around them.

Making that work in real-world aviation, however, is much more complicated. Airlines need to know where and when contrail-forming conditions are likely to occur, while continuously considering weather, airspace restrictions, aircraft performance, safety, and other operational factors.

Google’s solution combines AI-based prediction models, weather intelligence, and satellite imagery to forecast areas where contrails are likely to form.

Cathay Pacific then delivers these changing forecasts to pilots through in-flight connectivity and its proprietary Electronic Flight Folder (EFF), allowing pilots to view contrail information alongside other operational data.3) In other words, AI identifies areas with a higher likelihood of contrail formation, while pilots and flight operations teams decide how—or whether—to adjust the flight path based on actual operating conditions. That connection between AI prediction and real-world flight decisions is one of the most interesting aspects of the trial.

But Is Changing the Flight Path the Only Option?

Google and Cathay Pacific are testing an operational approach based on flight-path adjustments. But is avoiding contrail-forming airspace the only way to tackle the problem?

We searched WIPS Global for related patent technologies.

What we found was a surprisingly diverse collection of ideas: predicting contrails before they form, monitoring them after they appear, switching between different fuels, and even using lasers.

The patents below are examples of technologies related to contrail mitigation. They do not indicate that Google or Cathay Pacific used these patented technologies in their trial.

 Predict the Contrail—and Find a Better Flight Path

wipsglobal.com
US 12210356 B2
Method for optimising the atmospheric radiative forcing of aircraft flight operations on climate by forecasting and validating aircraft contrail formation

 This patent describes a method for using weather and flight information to predict contrail formation and its potential climate impact, then using those predictions to identify more suitable flight paths.

Rather than considering only whether a contrail is likely to form, the method also takes radiative forcing into account when comparing possible routes. After a flight, actual contrail formation can be checked against the forecast to help validate the prediction.

Put simply, the technology asks: “Which route could reduce the climate impact of contrails?” That makes it particularly relevant to the broader technological challenge explored in the Google and Cathay Pacific trial.

The Contrail Is Already There. Now What?

wipsglobal.com
US 12366211 B2
Aircraft contrail monitoring and targeted mitigation

This patent takes a somewhat different approach. It focuses on monitoring contrails generated by an aircraft and evaluating their impact using information such as flight conditions, environmental data, and engine parameters.

The goal is not simply to determine whether a contrail exists. The system analyzes the contrail together with the surrounding conditions, assesses its potential impact, and can help determine whether mitigation measures are needed.

If the previous patent is about predicting where contrails may form and avoiding them, this one is closer to detecting what has actually formed and deciding how to respond. 

Two Fuels, One Goal: Fewer Contrails

wipsglobal.com
US 12612877 B2
Contrail suppression

Airbus approaches the problem from an entirely different direction. Instead of changing the flight path, this patent focuses on fuel.

The technology describes selectively using different fuels depending on flight conditions. A conventional fuel may be used when contrail formation is unlikely, while another fuel better suited to reducing contrail formation can be used when conditions become favorable for persistent contrails.

The interesting part is that the aircraft does not necessarily rely on one specialized fuel throughout the entire flight. Instead, it selects the appropriate fuel when needed. Same problem, different lever: rather than changing where the aircraft flies, the technology changes what it burns.

US 12612877 B2

Firing a Laser at a Contrail?

wipsglobal.com
US 12202617 B2
Aircraft laser contrail reduction apparatus and system

And then there is the laser.

This Boeing patent describes using aircraft sensors to detect environmental conditions associated with contrail formation, such as temperature and altitude. When appropriate conditions are detected, a laser system positioned around the engine can direct a beam toward the region where a contrail is forming.

Instead of rerouting the aircraft or changing its fuel, the approach attempts to intervene directly in the contrail formation process itself.

AI predictions, fuel management—and now lasers. It is a good reminder that a single technical problem can inspire very different engineering solutions.

US 12202617 B2

A Small Altitude Change, Backed by a Much Bigger Technology Story

The Google and Cathay Pacific trial demonstrates an intriguing possibility: reducing contrails may not always require redesigning the aircraft itself. Better predictions and relatively small adjustments to an aircraft’s route could potentially make a difference using aircraft already in service today.

But our search in WIPS Global shows that the technology landscape goes much further.

Some inventions try to predict where contrails will form and find a better route. Others monitor contrails after they appear. Some change the fuel being used, while others attempt to interfere directly with contrail formation using lasers.

A white trail that may disappear from the sky in minutes turns out to involve a surprisingly wide range of technologies—from AI and atmospheric prediction to sensors, aircraft control, fuel systems, and lasers.

As contrail mitigation moves from research into real-world flight operations, it will be interesting to see which of these approaches prove practical at scale—and what new patent technologies appear along the way.

Smoke trails at an airshow
<gettyimagesbank.com>

---------------------------------------------------------------------------

<Related Articles & Sources>

TechRadar, https://www.techradar.com/

1) Google, Our new contrail avoidance trial in Asia-Pacific

2) Google, How AI is helping airlines mitigate the climate impact of contrails

3) Cathay Pacific, Cathay Pacific and Google Partner to Research and Trial AI-Powered Contrail Avoidance

WIPS Participates in China's Largest IP Fair, 'CIPAC 2026', Highlighting AI Patent Classifier 'PRISM'

 

WIPS, a specialized intellectual property (IP) enterprise, announced on the 15th that it participated in the 15th China International Patent Annual Conference (CIPAC 2026) held in Beijing, China, to showcase its proprietary AI-driven IP solutions.

CIPAC is a premier annual IP event in China, marking its 15th edition this year. In recognition of its steadfast participation since the event's inception, WIPS received a special Achievement Plaque for 15 Consecutive Years of Participation from the organizers. This official acknowledgment of 15 consecutive years of attendance and cooperation as a foreign enterprise reaffirms WIPS' strong credibility in the global IP market.

Ji-min CHOI, CEO of WIPS (third from left), receiving the Achievement Plaque for 15 consecutive years of participation at 'CIPAC 2026' <Source: WIPS>

At the event, WIPS operated a promotional booth focusing on 'PRISM', its self-developed AI-based automated patent classification and analysis service. PRISM is an advanced AI patent analysis solution that leverages massive global patent datasets to help users track competitor patent trends, identify technological white spaces, and analyze infringement risks.

During a presentation session held for attendees, WIPS demonstrated real-world use cases of PRISM—powered by its patent big data processing technology and high AI model accuracy—along with effective strategies for establishing IP frameworks, drawing significant attention from IP professionals and visitors.

WIPS presenting its 'PRISM' service at the lecture hall <Source: WIPS>

Following CIPAC 2026, WIPS will continue its global tour by participating in the 35th Patent Information Fair & Conference (PIFC 2026) in Japan, running from September 16 to 18 at Tokyo Big Sight. As Japan's largest IP exhibition, PIFC 2026 will feature a dedicated WIPS booth showcasing advanced AI IP solutions to the Japanese and global markets, further solidifying the company's Asian IP network.

A WIPS representative stated, "It is deeply meaningful to have shared WIPS' unmatched technological capabilities with the global IP market through our 15-year journey at CIPAC. By continuing our momentum at Japan's PIFC 2026 and beyond, we well solidify our presence in the global IP market- led by our AI-powered IP service, PRISM- extending our reach from Asia to the rest of the world.

WIPS executives and staff attending 'CIPAC 2026' <Source: WIPS>