GetFocus Feature Guide

Begin by scouting technologies to find all the emerging technologies competing in your field of choice. This helps set the foundation for a comprehensive technology forecast.

This chat feature gives results for all the technologies in a given area for the search query.¹

This chat feature primarily gives results for emerging technologies, generally with a lower technology readiness level (TRL) which may not have been (fully) commercialized yet.²

Some example queries for technology scouting:

Basic: "Battery Chemistries"³

With Context: "Battery chemistries for electric vehicles"⁴

Detailed: "Emerging high energy density battery chemistries for next-gen electric vehicles"

This chat feature scans the internal knowledge base of our LLM and allows you to create custom prompts.⁵ If you start typing in the text box without selecting a chat option, the "Ask Me Anything" feature will be automatically triggered.

Here is an example⁶ query for technology scouting using ask me anything:

"You are battery chemistry expert. You know everything there is to know about relevant technologies regarding battery chemistry. 

As an expert, your goal is to create an exhaustive list of relevant grouped technologies in battery chemistry for electric vehicles."

You can then instruct the model⁷ with an additional prompt to output results in a list.

Note: All the chats are saved and can be accessed on the left side of the tool.⁸

Post-scouting, evaluate the emerging technologies to assess their suitability for your specific use case.

In Technology Comparision¹ enter the technologies you want to compare. GetFocus might add additional relevant technologies and show results, as demonstrated in the example.

Odin offers automatic suggestions for evaluation criteria², but you also have the choice to define additional criteria if desired.

Note: If the list is too long or similar technologies have different names, Odin may consolidate it. You can prevent this by adding a follow-on instruction in the search query.

Leverage "Ask Me Anything" to define custom criteria and evaluate technologies. This approach offers flexibility to use metrics that best suit your requirements.

Here is an example³ for technology evaluation using Ask Me Anything:

You are battery chemistry expert. You know everything there is to know about relevant technologies regarding battery chemistry. I will give you a list of battery technologies, as an expert evaluate the technologies based on given criterias.

The evaluation criterias are cost efficiency, energy density, cycle life, safety and sustainability.

Score all the technologies from 1 to 10 where 10 is the best performing and 1 is the least performing for each metric.

Ask the tool to output the evaluation results in a table.

You can further ask the tool for the reasoning for the scores. Eg. "After each criteria add a column with the reasoning for the score".

While the first four chat options are used for scouting and evaluation of technologies, the other chat functions are useful for other tasks.

This chat feature gives a summary of any given technology and helps you quickly understand upsides, downsides, application areas, etc.

This chat feature finds new application and commercial opportunities for a given technology.

This chat feature explores and predicts the potential of disruptive technologies in an industry.

This chat feature explores solutions to technology problems in other industries to find inspiration for solving technological problems.

This chat feature explores solutions in nature to a technological problem, which is helpful for identifying possible solutions through biomimicry.

After initiating the chat. you can use follow-up questions to dive deeper and continue the conversation.

Visit Help Center > Getting started with Odin > How to use chat? for more information

After scouting and evaluation, narrow down to top-scoring technologies for your use case. Next, map out their patent landscapes to identify improvement rates.

LLM-Filters feature enables you to find patent families based on complex queries like "Find patents related to pyrolysis, a thermochemical decomposition process operating under an inert atmosphere at temperatures between 400°C and 650°C". 

Or you may also filter a dataset simply using natural language like “Search for all patents that relate to cryogenic carbon capture.”

Follow these steps to filter dataset using LLM-filters:

To switch between different filters you created, select the filter and click on Apply.

Note: This process is time consuming and may take 5 - 60 minutes depending on the size of the dataset. LLM-Filter runs in the background, so you can multitask until it's done processing your data. 

Visit Help Center > Searching with Odin > How to filter search results? for detailed guidance 

Use the Smart Search¹ button to explore the patent landscape for each technology. It reformulates your query into a more detailed and technical description, helping the tool retrieve the most relevant results.

When searching for a technology using Smart Search, Odin employs generative AI to transform your keyword input into a context-rich, four-sentence technical description. These enhanced queries are ideal for vector search, leading to improved results.

You can view how Smart Search enriched your original input by clicking the info icon² on the right side of the search title.

You can also copy the smart query, edit it to suit your technical requirements, and then paste it into the search box. Finally, click the Exact Search³ button to run your customized query.

Visit Help Center > Searching with Odin for detailed guidance 

After performing a smart search, you will likely find a large number of patents. Our AI search model helps you get in the right direction, but filtering is crucial for accuracy.

Follow the steps below to refine the set and create a good representative patent landscape to derive a precise improvement rate:

Including keywords⁴: Use terms that are generally used to define the technology or relate to the technology.  Eg. 

Excluding keywords: Remove terms that may pollute the landscape for the technology.

Sort patents⁵ in ascending order of relevance to check if the least relevant still pertain to your technology. If the least relevant results are still relevant, you can be sure that the rest of your dataset is also accurate.

Visit Help Center > Searching with Odin > How to filter search results? for detailed guidance 

After sorting by ascending relevance, titles and abstracts might not always show a patent's relevance. Use AI summary⁶ or Chat with Invention⁷ with your queries for clarity. If most of the least similar patents remain relevant, the landscape is accurate enough.

If the first page of ascending relevance doesn't match your field, try:

After ensuring the patent landscape accurately reflects the intended technology, save¹⁰ the set and repeat these steps for other technologies to compare their Technology Improvement Rates.

Remember to “save” the dataset and always “save changes” when using filters.

Once your technology sets are ready, compare their improvement rates by following these steps:

TIR is a comparative metric, not an absolute indicator. There's no given improvement rate that signifies whether a technology is advancing rapidly. You must compare it to competing technologies to gauge whether it is improving faster than the competition. 

The 'delta' between improvement rates reveals which technology is likely to dominate. Historically, the fastest-improving technology among competitors tends to win.

For a reliable dataset, make sure the patent set does not include less than 50 patents. The more the better.

Visit Help Center > Searching with Odin > Managing Projects for detailed guidance

After comparing technologies, click on select charts¹  and select TIR Forecast to view the Forecasted Technological Performance chart.

Here we predict when competing technologies might take the lead in the future. You'll need to input the starting values for current costs and performance of the technologies, which can be difficult to obtain. Since the tool creates charts from your data, ensure the inputs are accurate—otherwise, you risk getting unreliable results. Be careful what you put in, garbage in = garbage out.

Here is how the Forecasting tool works:

Interpreting the Forecasting Curve

Graphene batteries, with an improvement rate of 67.5%, are projected to surpass solid-state lithium batteries by 2033, despite their high current cost of $1000 per kWh. 

Sodium-ion batteries will continue to be the most cost-effective option for the foreseeable future due to their significantly lower starting costs, even though their improvement rate is lower.

Please note this is only an example, the improvement rates and costs in the example are arbitrary values selected for a simple explanation.

Once you've identified the best technology, gain detailed insights by chatting with individual patents or a set of patents.

Click the AI Summary¹ button to get a concise overview of any patent. It extracts and displays:

Use the Chat with Invention² feature to Q&A a specific patent via natural language, powered by a Large Language Model (LLM). Responses are derived solely from the patent text. Our analysts frequently use it for:

Open-ended Questions: "Summarize this invention to an engineer" for simple technical understanding.

Specific Information: "What are the electrode materials mentioned in this invention?"³

Claims Inquiry: "What are the dependent/independent claims in the invention?"

The Chat with Set⁴ function allows you to analyze up to 1000 patents using natural language, powered by a Large Language Model (LLM). You can ask your dataset any question, and the LLM will analyze and provide answers.

Typical use cases for "Chat with Set":

Finding the Latest Trends

Comparing Inventions

Note: Consider important factors when using this feature. Visit Help Center > Chat with set for detailed guidance. 

Click on Overview⁶ for better understanding of organizational landscape for key technologies. It helps you to:

Identify Key Players: Recognize all organizations (public and private) innovating in key technologies.

Identify geographical trends: Find out which regions are patenting more or less in your technology area.

Analyze Activity: Evaluate organizational activity by assessing patent volume and quality

Use "Chat with set" for Organization and Portfolio Analysis

Tracking workflows helps to monitor your technological domains and allows you to keep track of and analyze relevant new inventions automatically.

Initiate Workflow

Go to Tracking¹  > Add Tracking Workflow²

Add name and description of your workflow³

Set Up Trigger Node

Choose a schedule: daily, weekly, monthly, or yearly⁴

Add Action Nodes

Depending on your need select an action node⁵: 

LLM Agent: Applies a provided prompt to every new patent since the last run. Eg. "Describe in 5 sentences what is novel about the latest patent."

Get Latest Patents: Fetches all new patents added since the last run.

Summarize Patents: Generates summaries for each new patent since the last run.

Click on Add Node after each step to add them to your workflow

Configure Notification Node

Select "Send Email"⁶

Input recipient email addresses⁷

Test the Workflow

Click Test Workflow⁸ to check functionality.

Finalize and Activate

Save your workflow.

It's now scheduled to run automatically⁹

Visit Help Center > Tracking workflows for detailed information