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A faster, more accurate way to explore innovation data—now available in Cypris.
For innovation teams, speed and accuracy aren’t optional—they’re critical. You need to quickly find all relevant documents, slice and dice datasets however you want, and trust that the results are complete and representative. With this in mind, we’ve upgraded how semantic search works inside Cypris.
Today, we’re launching an upgraded search infrastructure that gives users access to full, exact result sets—unlocking more powerful analysis, faster iteration, and deterministic filtering and charting.
Unlike traditional semantic or vector search engines—which make it difficult to count, filter, or chart large sets of matched documents—our new approach prioritizes transparency and performance while preserving semantic relevance.
Why we moved away from vector search
Our original implementation relied on semantic and vector search to capture the “meaning” behind user queries. But as our platform evolved, it became clear that these systems weren’t well-suited for our core use cases.
Users needed:
Deterministic filtering (e.g., "how many results match this atom?")
Transparent, complete result sets to power charts and dashboards
Fast, repeatable queries that don’t change subtly over time
Modern vector search systems don’t easily support this level of transparency. They return approximate matches and abstract similarity scores, often making it hard to understand why a document was returned—or whether it’s the full picture.
So we made a decision: move away from vector search and lean into what traditional search engines do best.
A return to boolean and lexical search—with a twist
We rebuilt our search infrastructure on top of Elasticsearch’s powerful boolean and lexical search capabilities. This shift brings major advantages:
Faster query speeds that dramatically improve iteration time
Deterministic filtering and counts, so every chart is grounded in the full dataset
Predictable, explainable results that users can trust
But we didn’t stop there.
To preserve the benefits of semantic understanding, we’ve rethought where that intelligence should live—not at query time, but at data ingestion.
Capturing semantic meaning at ingest time
Instead of computing document-query similarity during search, we enrich documents at the time of ingestion. Here’s how:
Synonym expansion: We find related words and concepts not explicitly mentioned in the document and add them as fields, enabling semantic-style recall via lexical search.
Stemming: Both queries and documents are reduced to their root forms, allowing consistent matches (e.g., “running” and “run”).
The result? You get the same functionality—semantically relevant results—without the opacity or latency tradeoffs of vector search.
What’s next: Reranking for even better relevance
We’re not done. Coming soon to Cypris is a reranking layer that boosts the most relevant results to the top of the list using lightweight vector techniques.
Here’s how it works:
A standard lexical search retrieves the full result set.
We take the top N results and rerank them using vector similarity, powered by Elasticsearch’s new hybrid scoring capabilities.
You get faster queries with even better relevance—without compromising on counts or transparency.
This layered approach gives us the best of both worlds: precise filtering and fast queries, plus smarter ordering of results where it matters most.
We’re excited to bring this upgrade to our users, and we’re already seeing teams iterate faster and uncover insights more confidently. This is a foundational shift—and just the beginning of what’s to come.
Want a walkthrough of what’s changed? Reach out to our team.
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A faster, more accurate way to explore innovation data—now available in Cypris.
For innovation teams, speed and accuracy aren’t optional—they’re critical. You need to quickly find all relevant documents, slice and dice datasets however you want, and trust that the results are complete and representative. With this in mind, we’ve upgraded how semantic search works inside Cypris.
Today, we’re launching an upgraded search infrastructure that gives users access to full, exact result sets—unlocking more powerful analysis, faster iteration, and deterministic filtering and charting.
Unlike traditional semantic or vector search engines—which make it difficult to count, filter, or chart large sets of matched documents—our new approach prioritizes transparency and performance while preserving semantic relevance.
Why we moved away from vector search
Our original implementation relied on semantic and vector search to capture the “meaning” behind user queries. But as our platform evolved, it became clear that these systems weren’t well-suited for our core use cases.
Users needed:
Deterministic filtering (e.g., "how many results match this atom?")
Transparent, complete result sets to power charts and dashboards
Fast, repeatable queries that don’t change subtly over time
Modern vector search systems don’t easily support this level of transparency. They return approximate matches and abstract similarity scores, often making it hard to understand why a document was returned—or whether it’s the full picture.
So we made a decision: move away from vector search and lean into what traditional search engines do best.
A return to boolean and lexical search—with a twist
We rebuilt our search infrastructure on top of Elasticsearch’s powerful boolean and lexical search capabilities. This shift brings major advantages:
Faster query speeds that dramatically improve iteration time
Deterministic filtering and counts, so every chart is grounded in the full dataset
Predictable, explainable results that users can trust
But we didn’t stop there.
To preserve the benefits of semantic understanding, we’ve rethought where that intelligence should live—not at query time, but at data ingestion.
Capturing semantic meaning at ingest time
Instead of computing document-query similarity during search, we enrich documents at the time of ingestion. Here’s how:
Synonym expansion: We find related words and concepts not explicitly mentioned in the document and add them as fields, enabling semantic-style recall via lexical search.
Stemming: Both queries and documents are reduced to their root forms, allowing consistent matches (e.g., “running” and “run”).
The result? You get the same functionality—semantically relevant results—without the opacity or latency tradeoffs of vector search.
What’s next: Reranking for even better relevance
We’re not done. Coming soon to Cypris is a reranking layer that boosts the most relevant results to the top of the list using lightweight vector techniques.
Here’s how it works:
A standard lexical search retrieves the full result set.
We take the top N results and rerank them using vector similarity, powered by Elasticsearch’s new hybrid scoring capabilities.
You get faster queries with even better relevance—without compromising on counts or transparency.
This layered approach gives us the best of both worlds: precise filtering and fast queries, plus smarter ordering of results where it matters most.
We’re excited to bring this upgrade to our users, and we’re already seeing teams iterate faster and uncover insights more confidently. This is a foundational shift—and just the beginning of what’s to come.
Want a walkthrough of what’s changed? Reach out to our team.
Keep Reading
January 12, 2023
•
XX
min read
Patents are an important part of any successful research and innovation program, but they can also come with a hefty price tag. Patent maintenance fees must be paid periodically in order to keep them valid. But how much are patent maintenance fees?In this blog post, we’ll explore the basics of patent maintenance fees, including how much are patent maintenance fees, who is responsible for paying them, and what happens if you don’t pay your fee on time or at all.Let’s find out exactly how much patent maintenance fees may set you back!
Patent maintenance fees are charges that must be paid to keep a patent valid. These fees are necessary because patents have limited lifespans and need to be renewed periodically in order for the patent holder to maintain their exclusive rights over an invention.There are three main types of patent maintenance fees: annuity payments, renewal fees, and re-examination fees.Annuity payments are due at regular intervals throughout the life of the patent and typically cover costs associated with maintaining the patent’s validity such as legal services, administrative costs, etc.Renewal fees are due when a patent is up for renewal after its initial term has expired. These can range from small amounts to large sums depending on how long ago the original application was filed.Re-examination fees may also be required if there is evidence that a previously granted claim should not have been allowed or if new prior art has been discovered which could invalidate existing claims.Patent maintenance fees are an important part of protecting your invention. Knowing the costs associated with patent maintenance can help you plan and budget accordingly. Now let’s take a look at how much these fees typically cost.
The average cost for a basic utility patent in the United States is around $1,000 per year after filing fees have been paid.In Europe, however, this number can range anywhere from €500 to €2,000 per year depending on where you file your application and the length and complexity of your invention’s description.There are several factors that affect how much are patent maintenance fees. These include the type and complexity of the invention being patented, as well as any additional costs associated with maintaining or defending a patent. Different countries have different laws regarding patents and their associated costs, which can also affect how much you pay for your patent maintenance fee.One way to reduce patent maintenance costs is by using Cypris’ research platform for R&D teams. This software helps streamline processes related to researching prior art and relevant regulations — saving time and money when dealing with costly renewal fees.Additionally, there are strategies such as limiting claims made within an application or negotiating payment plans directly with local offices that may help reduce overall costs.Next, let’s explore when these fees are due.
Patent maintenance fees are due at regular intervals throughout the life of a patent. Depending on the country, these fees may be due annually or every few years. The timing for payment of these fees is typically specified in the patent application and can vary from one jurisdiction to another.In most countries, patent maintenance fees must be paid within six months prior to their expiration date. Failure to pay before this deadline will result in the patent lapsing and becoming invalidated, which means that it no longer offers any legal protection for its owner’s invention or product.Late payment penalties may also apply if a fee is not paid on time. These penalties can range from additional costs to complete revocation of the patent rights granted by the original application. In some cases, late payments may even render an invention unpatentable as well as void any existing patents associated with it.It is important to note that different jurisdictions have different regulations regarding when and how much a fee must be paid in order for a patent to remain valid and enforceable. Therefore, it is essential that R&D teams stay up-to-date with all relevant laws and regulations pertaining to their particular jurisdiction so they do not miss out on critical deadlines or incur unnecessary expenses related to late payments of such fees.It is important to understand when patent maintenance fees are due and who is responsible for paying them in order to maintain your patents. In the next section, we will discuss who is liable for payment of these fees and the differences between joint owners and assignees.
Who is Responsible for Paying the Patent Maintenance Fee?
Generally, the patent owner is responsible for paying all maintenance fees associated with a patent. The patent owner can be an individual or a company, and they are liable for payment regardless of who filed the application.In some cases, multiple parties may have ownership rights to a single patent. In these instances, each party is jointly liable for payment of any applicable fees.When two or more people own a single patent, it is important to understand how responsibility will be divided between them when it comes to paying maintenance fees. Generally speaking, joint owners must agree on which party will pay the fee before submitting their payment.If no agreement can be reached, then all parties must contribute equally toward its cost. If one party assigns their rights in relation to the patent, they remain responsible for any outstanding payments until such time as those payments are made by either themselves or another assignee.
What Happens if You Don’t Pay Your Patent Maintenance Fee?
Failing to pay patent maintenance fees on time can have serious consequences. If a fee is not paid within the designated timeframe, the patent will be deemed abandoned and no longer valid. This means that any rights or protection associated with the patent are also lost.The consequences of not paying your fees on time include:
Loss of Patent Rights: Once a patent has been declared abandoned, all rights associated with it are forfeited and anyone may use the invention without permission from the original inventor.
Legal Liability: The inventor may be held liable for damages if someone else uses their invention after it has been declared abandoned.
Financial Losses: Not only does an inventor lose out on potential profits from licensing their invention but they also incur additional costs in trying to regain their rights by filing a new application or reinstating an existing one.
FAQs About How Much Are Patent Maintenance Fees
How often do you pay patent maintenance fees?
You may pay without a surcharge for 3 to 3.5 years, 7 to 7.5 years, and 11 to 11.5 years after the date of issue.You cannot pay early.You may also pay with a surcharge during the grace periods at 3.5 to 4 years, 7.5 to 8 years, and 11.5 to 12 years after the date of issue.
How much does it cost to renew a US patent?
The cost to renew a US patent depends on the type of patent. Generally, for utility patents, the renewal fee is $800. For design patents, the renewal fee is $200.There may be additional fees associated with late payments or other special circumstances.
Conclusion
Being aware of how much are patent maintenance fees and when they are due is an important part of protecting your intellectual property. It’s also essential to know who is responsible for paying these fees so you don’t miss any payments that could result in losing your patent rights.Are you looking for a reliable and cost-effective way to manage your patent maintenance fees? Look no further than Cypris. Our research platform provides the data sources teams need in one easy-to-use, intuitive interface, giving you quick access to insights on how much are patent maintenance fees. With our help, managing these costs is easier than ever before!
How Much Are Patent Maintenance Fees? A Guide for R&D Teams
Blogs
January 11, 2023
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XX
min read
How Cypris Supports Technology Transfer
Blogs
January 1, 2023
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Case Study: How Talking Rain uncovered cutting-edge insights to stay ahead of their competition with Cypris
