Freedom to Operate

A freedom-to-operate (FTO) analysis asks whether your product is clear to make, use, and sell without infringing a patent someone else holds and still has in force. You run one before you commit, ahead of a launch, a new market, or a redesign. That is when stepping on a live claim costs the most, and when finding the one patent that blocks you is cheapest.

Patalyze gives that question a shape. Your product sits on one side, the field of patents around it on the other, and a mapping between your product and each patent scores the overlap. The patents that read on your product and are still in force are the few you have to deal with before you ship. Everything else falls away.

The rest of this page walks that path end to end: set up a dedicated research, add and describe your product, gather the patents it has to clear, let the mappings rank the risk, then review the dangerous few and record a verdict. New here? The quickstart drops you straight into the product first.

1. Define your product#

Start the Defensive / Freedom to Operate workflow. Because it knows the shape of the work, it builds a dedicated research for you: one isolated database that holds the product, patents, mappings, and pages for this single question and nothing else.

Name it for the question you are answering, such as the product and the market you are clearing it for. A precise name keeps the verdict easy to stand behind later. Keep one product, or one tightly related family, per research. A clean scope is what makes the conclusion defensible.

Next, add the product you are clearing. You can add a product three ways from the Add menu, depending on how much you already have in hand:

  • Search finds the product by its features and category when it already lives in the wider catalog.
  • Crawl pulls it straight from one or more product-page URLs.
  • Upload lets you drop in your own datasheet, brochure, or spec sheet directly.

However it arrives, Patalyze reads the product's description, files, and images and learns its features: the concrete things each patent claim gets checked against. The richer the material you give it here, the sharper every mapping that follows, so this is the step worth doing well.

2. Limit the patent scope#

With your product in place, pull in the patents it has to clear. These come from Patalyze's global patent corpus, and the workflow has already seeded a first search to get you started. Widen it from there with two complementary tools:

  • Boolean search pins down exact terms, assignees, and classifications.
  • Semantic search pulls in patents that describe the same idea in different words, the ones a keyword search would miss.

Add anything you already know by publication number, too. Aim for recall at this stage: it is better to pull a patent that turns out not to matter than to miss the one that does. The scoring in the next step is what separates the real risks from the noise, so a wide net costs you little and a narrow one can cost you the whole analysis.

3. Let us do the work#

Once your product has learned its features and the field is in place, Patalyze creates the mappings in the background, one for your product against each patent you gathered. You do not trigger this by hand.

Each mapping takes a patent's independent claims, breaks every claim into the elements that must all be present, and judges whether your product practices each one, with the evidence behind every call. Those verdicts roll up into a per-claim score and a risk band. A wall of claim language becomes a number you can sort on, which is exactly what makes the next step possible.

4. Review the risks#

There may be hundreds of mappings, and you will not read them all. Work from the top down: start with the verdict, confirm it against the ranked field, then drill into the evidence under the patents that matter.

  • Read the executive summary first. When the analysis finishes, Patalyze writes it to the top of a note: a rich-text verdict with live links back to the patents and your product and embedded charts, so the conclusion travels to whoever needs to sign off on it.
  • Sort the patent table to surface the risks. Sort the table by your product's mapping column and the patents it reads on rise to the top. Filter to in-force patents so dead ones, which cannot block you, stop crowding the view. A Critical band on a live patent is exactly the result you came to find.
  • See where the risk clusters. A dashboard gives the same field its shape: filings over time, the top applicants, and the classification breakdown show where the risk concentrates and who holds it.
  • Open the dangerous mappings and decide. Open any mapping to see the patent's claims broken into elements, the verdict on each, and the evidence behind it. Override a verdict you read differently or omit an element you have ruled out, and the score updates. This is where a high score stops being a number and becomes a conclusion you can defend. It is also where the note's verdict gets earned.

Drive it from an AI client

Every step here is also available to an AI agent through MCP: it can create the research, add your product, search the field, and read the mappings without opening the app. For the product overview, see Freedom to Operate.

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