What your boss doesn’t understand is how difficult it is to sift through all that data and come to a conclusion. Some data is in spreadsheets. Others are in legacy database schemas. And as you sift through one dataset, you’re responsible for overlaying data from other siloed datasets simultaneously. It's months worth of work, and now your boss is expecting an immediate answer.

It doesn’t matter which specific advanced industry you’re working for; any engineer or scientific researcher or financial analyst could relate to the above scenario. What does matter is finding ways to save time extracting insights from complex datasets, so that you can focus your brainpower on making important decisions accurately. That’s where AI for advanced industries comes in.

AI for advanced industries is strategically deployed to crawl large, complex datasets in varying file formats and extract insights multimodally. This approach revolutionizes the way complicated sectors like aerospace, engineering, and life sciences can interpret their various datasets without spending weeks or months sifting through complex datasets.

It replaces guesswork with predictive precision to optimize everything from heavy-duty R&D to subsurface analysis to high-speed manufacturing.

You’ve undoubtedly tried some of the generic answer engines to support your complex business decisions; so you’ve seen exactly where it’s lacking when it comes to nuanced information and decision-making.

The core problem: most LLMs are trained on public data and optimized for text-heavy, software-native environments. Outside of PDFs, spreadsheets, CSVs, and other common file formats, platforms like ChatGPT are unable to crawl many of the complex file types regularly used in advanced industries. And even these common file formats can be rendered uncrawlable by general AI platforms once they hit a certain size.

Extracting insights from a spreadsheet with a maximum file higher than 512 MBs? Consider that dense Excel document you paid thousands for rendered useless for ChatGPT.

But beyond challenges with file types and sizes, general AI fails to deliver for advanced industries because it lacks the sophisticated understanding of these sectors. If they get something wrong, the results could result in catastrophic consequences.

Advanced industry leaders can’t trust a “jack of all trades” AI platform. They need one with a repeatable model and domain-specific expertise, where they know exactly how the AI came up with the answers.

That’s only possible if with platforms like Lium making it possible for advanced teams to embed their own domain expertise and tools into the model in a multimodal capacity to make sure it’s reliable.

We’ve all seen the general AI platforms spit out misinformation with complete confidence. If you upload bad data to these platforms, the LLMs will produce wrong answers that can be devastating for your organization.

When Lium crawls and absorbs the information, it will specifically call out and disregard bad data, giving you accurate answers you know you can trust.

Lium’s ability to crawl and extract large, complex datasets opens up the door for analysts and business leaders from any information-centric organization to leverage.

It is not vertical-specific, and can answer prompts with a nuanced understanding of any role using advanced data.

Here are some of the many advanced industries that are using Lium as their AI harness:

Governments, insurers, agriculture, and electric utility providers use a wide-range of geospatial datasets to analyze a specific area of Earth’s surface. When you’re assessing data like satellite imagery, vectors and attributes, and point clouds simultaneously, things can get complicated.

Geospatial data analysis HAS to be multimodal; the way to extract insights is to overlay various data points about the current state of a certain geographic location. It only works when all of the specific pieces of the puzzle are paired together.

Historically, overlaying that data takes significant time for analysts; costing organizations thousands of hours that analysts could otherwise spend extracting insights. And when you're studying something like the everchanging weather in a specific neighborhood, datasets can quickly be rendered useless.

Lium helps geospatial teams to crawl their proprietary data alongside publicly-available datasets. And once it is quickly integrated, analysts and organization-wide teams will be able to ask industry-specific questions and get nuanced, accurate answers.

When you’re performing analysis on the surface of a meteorite moving 150,000 miles per hour or launching a spaceship, there’s a lot of moving parts.

Teams in the space industry can suddenly collect terabytes of telemetry data when an orbital pass occurs; but it can be rendered effectively useless if not extracted within a tight transmission window. And to make matters worse, issues like signal attenuation can skew your datasets.

Lium has the ability to work with these complex physics and mathematical datasets and call out where issues have degraded the data. Overlay this with your historical space data, and you can move quickly to extract critical insights.

Subsurface analysis requires an overlay of a variety of complex datapoints, from decades-old borehole data and well logs to enormous seismic surveys. All of this is used to inform decisions around geothermal exploration, carbon sequestration, mining, and other costly and high stakes types of underground work.

There’s no room for error and a real need to move quickly when analyzing subsurface data. Lium has proven results integrating all of the standard subsurface data formats and turning them into actionable insights fast.

Energy companies require a variety of dense datasets. Energy data analysts utilize everything from spatial imagery to SCADA logs to publicly released energy data, and need precise accuracy; think of the toll on society if a misread grid anomaly results in a regional blackout.

Near-real-time energy datasets can be uploaded almost instantaneously to Lium, with bad data being called out and ignored, allowing precision to keep the grid functioning.

When it comes to construction of buildings and bridges, there’s millions of data points to crawl and no room for a single mistake. Lives are at stake, and this infrastructure can act as arteries for entire regions.

Ingest all relevant engineering datasets in a multimodal AI harness to make informed decisions with the backing of your most critical data overlaid to provide accurate answers to anyone on your team’s questions, from engineers to executives.

Not seeing your specific industry on the list? Fret not.

If you’re working in a complex, data-centric environment and have various datasets in different file formats that you need to crawl and extract insights from, Lium can provide you domain-specific modeling.

Key industries leveraging Lium for advanced data include:

• Cleantech and Green Energy
• Agriculture
• Pharmaceuticals and Life Sciences
• Aerospace and Aviation
• Mining and Natural Resources
• Environmental Science and Climate Research
• Advanced Manufacturing
• Maritime and Oceanographic Research
• Telecommunications and Network Infrastructure
• Autonomous Systems and Robotics
• Marketing Analytics
• Industrial & Process Manufacturing

Lium’s founders crafted the big data platform with a clear objective in mind: building the infrastructure that allows for data-dense industries to use artificial intelligence to quickly and accurately solve big problems.

Unlike a general model with an industrial skin, Lium is an agentic harness purpose built to support engineers, scientists, analysts, non-technical teams, and anyone working with complex data.

At a glance, here is how Lium is supporting businesses utilizing large, proprietary datasets:

Data compression and extraction:

Massive, complex datasets can get crawled by Lium in a moment, allowing users to prompt it with complicated questions and get accurate responses to extract insights as quickly as possible.

Domain-specific accuracy:

Lium was designed to accommodate ALL of the advanced industries listed above. While that may sound crazy, Lium accomplishes this by

• guiding users through a process of indexing and extracting signals from data
• building domain specific tools for analysis
• continuously developing subject matter expertise.

The result is a platform that has a much more in-depth and tailored understanding of your advanced industry and your specific organization, unlike general AI platforms.

Data security:

Advanced industries spend significant time and dollars on acquiring unique proprietary data. That data needs is highly-sensitive and could have a devastating impact on the company if it winds up in the wrong hands. When you upload internal data to Lium, it is solely stored within your personal environment; it won’t be utilized for training the platform nor accessible to any competitive organizations.

Automation of workflows:

With Lium’s multimodal AI platform, you’re getting more than just faster insights. By removing all of the data science bottlenecks, decision-making can happen immediately and advanced data analysis is available to your entire team in natural language.

Don’t waste another minute manually converting file formats or trying to make data-informed decisions with siloed datasets. Get started with Lium’s AI for advanced industries for free, to crawl your complex data and get to answer big picture questions in moments.

What is Advanced Industry AI?

Advanced industries are data-dense. High-stakes decision making requires a variety of complex data points, typically from different data sources.

Businesses using complex datasets require artificial intelligence with domain-specific expertise; an advanced industry AI platform that can crawl and overlay multiple datasets so you’re getting accurate answers to your questions that you can trust.

General AI won’t cut it, since it doesn’t

• Accept large datasets: Claude allows for files up to 30 MB and ChatGPT accepts 512MB files or smaller.
• Work with non-standard file formats: your legacy data might be stored in unique file formats that general AI can’t crawl. Lium writes code to convert to usable file types and can also compress your data into an agent ready data set that the LLM can reason over. The end result is users can “point and shoot” at non-standard file formats and get natural language answers in a matter of minutes.
• Understand your industry’s complexities: even if general AI could crawl your data, it lacks a nuanced understanding of your industry and the advanced problems you’re solving. Lium was built with advanced industries in mind and is designed to capture and compound your subject-matter expertise into a repeatable and reliable system where every answer is grounded in multimodal insights from your proprietary data.

Can You Share Proprietary Datasets with AI?

With certain AI models, your terms of service indicate that the platform you’re using can train on the content that you share with it. That means your proprietary data can get exposed to other users, potentially including your competitors.

When you’re spending millions of dollars and hundreds of hours gathering unique data, you can’t risk exposure. It’s why many advanced industry executives have deemed AI a security risk.

Your Lium environment is your organization’s alone. Once you upload proprietary data, it’s accessible to only you and your teams with permission to use it. Lium is an AI platform for advanced industry and intentionally built to keep your proprietary data secure.