Fast and thorough decisions with our Technology Vitality Report (TVR). Improve your review process with less effort.
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Our proprietary AI engine powers comprehensive IP evaluation, allowing you to rank ideas in a fast, efficient, and transparent way.
The AI-enabled, automated Technology Vitality Report (TVR) allows you to rank ideas in a fast, efficient, and transparent way. Quickly review hundreds of invention disclosures, funneling out the lower quality ideas to send back to the inventor for further iteration, or fast-track novel ideas to the review committee. Our TVR accelerates the decision-making process by enabling fast prioritization.
With the latest enhancements to the TVR, a more detailed analysis, when needed, is just a click away. Whether you’re interested in more specificity around prior art to pass back to the inventor, exploring the competitive landscape, or the recent filing trends, the new interactive TVR dashboard can provide you the information you want at-a-glance with the click of a button. Review and understand the closely related art, applying filters to give you the information necessary to make informed decisions on invention disclosures. Share limited or full results with inventors or teams, even those without a seat of InnovationQ Plus*, to help draft future invention disclosure iterations.
Get to Market Faster
Our IP evaluation incorporates predictive analytics and workflow solutions to help teams validate R&D ideas. Your business will be able to make better innovation decisions – faster.
Organizations processing many ideas are intent on accelerating innovation to get key technologies protected and get to market faster. With potentially hundreds of ideas being generated weekly, review and evaluation is a timely and expensive process.
When the goal is to increase internal efficiency, reduce outsourcing costs, and achieve favorable patent actions, our Technology Vitality Report is your IP evaluation solution. Our AI-driven technology expedites the process of invention disclosure review. Your organization will be able to accelerate the important task of determining whether to patent, publish, or keep the technology a trade secret.
No matter how quickly or in-depth you want to review disclosures, the AI-enabled TVR solution allows you to prioritize and manage your workflow, saving time, and bringing ideas to market faster.
Actionable Data to Drive Business Decisions
The TVR uses machine learning and statistical analysis of prior art to evaluate the strength of an idea or individual technology. This AI-enabled solution delivers real-time novelty and market position scoring. It uses patent-pending IP evaluation methodology to help teams ‘rank’ ideas with enhanced accuracy by using a patented blend of semantic signatures and keyword models.
AI within the engine scores the novelty of a concept and generates an objective score related to your invention disclosure. This quick, objective feedback enables you and your review committee to prioritize the disclosure pipeline and make value-based decisions in real time. The TVR is more than a report; this tool creates a process.
When needed, perform a more in-depth analysis of your TVR results as a part of your prioritization workflow. Explore your results in InnovationQ Plus to review full prior art documents and non-patent literature with just a few clicks.
Advantages
- Calculates an unbiased, objective score that facilitates quick decision making
- Streamlines a manual process by automating assessment of ideas
- Scores each technology to help determine whether to patent, publish, or keep the technology a trade secret
- Serves as a bridge between R&D departments and IP teams
- Shortens the innovation cycle by giving engineers an objective analysis of the concept faster
- Enables stronger patent applications, due to more insight on why the idea is imitative or novel
- Streamlines work of internal counsel and may reduce need for incurring consultant fees using outside counsel
- Secures batch uploads of invention disclosures into an internal docketing system or allows results to be exported
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