The answer is only as good
as the search.
A plausible AI answer is worthless in a validity opinion, an FTO memo or a licensing negotiation. IP8 is built so that every conclusion can be traced back to the document that produced it.
Before AI can reason about a patent question,
it has to find the right documents.
A sophisticated analysis built on an incomplete evidence set still reaches the wrong conclusion. In novelty, invalidity and FTO, one missed reference can reverse the answer entirely.
It starts with the database
IP8 runs on the patent database built and maintained by the PatSeer team, with full-text coverage across all jurisdictions PatSeer supports and more than a decade of continuous curation behind it. Retrieval quality is not only a model problem. It is a data problem first.
Search that behaves like a researcher
IP8 searches iteratively by running a query, reading what came back and revising the concept. It leverages AI and Boolean approaches for maximum recall. Critical references rarely describe the technology the way the inventor does.
Search strategy built around the decision
Novelty, invalidity, FTO and monetization need different evidence. IP8 shapes retrieval around the question being asked rather than running one generic similarity search and re-labelling the output.
No single model
IP8 combines internally trained patent models hosted in its own cloud with enterprise AI models accessed via Azure and AWS Bedrock. Private content is never sent directly to foundational third-party model providers and is never used for training.
A research process,
not a prompt.
Patent intelligence requires systematic decomposition. IP8 orchestrates a 5-stage research pipeline that moves from ambiguity to definitive legal and technical action.
Understand
Interpret the invention, patent, product or portfolio and work out what actually has to be tested.
Retrieve
Find the patents, prior art, products and market evidence relevant to that specific question.
Analyze
Evaluate the evidence against the technical features and claim elements that decide the outcome.
Prioritize
Separate the findings that change the decision from the ones that only add context.
Decide
Organize everything around the action the team actually has to take.
Two patents can look identical,
and mean completely different things.
Document similarity tells you two things are in the same technical neighborhood. IP8 breaks the invention or a claim into its elements and asks, for each one: what does this require, what does the reference or product actually disclose, and what is missing.
For Novelty
How the invention’s features compare against what the art discloses.
For Invalidity
Which claim limitations each reference covers and which it does not.
For FTO
Whether the product’s features meet every element of a claim, or fall outside it.
For Monetization
Where product evidence maps to claim elements, and how strong that evidence is.
The method adapts
to the question.
A single foundational decision engine powers targeted intelligence across the five core milestones of the IP lifecycle.
Your patent intelligence stays yours.
IP8 handles unpublished inventions, provisional filings, product roadmaps and litigation strategy. The controls are built for that work, not retrofitted onto it.
Your data is never used to train any AI model.
Bring the next patent decision to IP8.
IP8 — Agentic research. Claim-level evidence. Portfolio-scale intelligence.
IP8 | The Patent Decision Intelligence Platform.
