“What’s the deal with the federal government and big data? They’ve got all the resources, all the agencies, and still—no data! It’s like having a fridge full of groceries and ordering takeout every night. Am I right, or am I right?”

When you think of the federal government, do you imagine spy agencies in every corner, with the most advanced gadgets access to unlimited data, tracking your every move? The reality is far less Mission Impossible and much more Office Space.

Despite vast resources, the federal government struggles with data acquisition, inter-agency communication, and efficient data sharing—issues that hinder national security, waste taxpayer dollars, and miss opportunities to prevent threats. See, the problem at hand is the bureaucracy. 

In the real world, whether you run a Taco Bell, a Fortune 500 company, or are a crazy guy putting together an AI-powered big data startup, everything you do has consequences. Good, bad, or ugly, your success or inefficiencies and how you navigate them will dictate if you’re eating sushi for lunch or, as we said in college, “ham on hand sandwiches.”

The bureaucracy hasn’t had to deal with any consequences; therefore, there is no motivation to be efficient. At best, these inefficiencies have resulted in fragmented operations, delayed responses, wasted money, and exploitable vulnerabilities. At worst, they have cost lives.

The Challenges of Data Acquisition

Federal agencies manage vast amounts of law enforcement, intelligence, and defense data, yet some remain undigitized—still stored on paper in folders and filing cabinets. 

In a rapidly advancing world, the federal government straddles two eras—one foot in the digital age and the other in the pre-industrial past. They’re facing data fragmentation at every level, forcing them to scour the globe for additional data sources.

For example, imagine you’re part of a department in a federal agency and receive intelligence about an upcoming terrorist attack. To prevent it, you need as much data as possible. However, you’re already at a disadvantage, scrambling to source data and develop methods—often outsourcing—to make it searchable. The attack is thwarted, and you’ve saved the day. But once the operation is over, FISMA and the Privacy Act of 1974 require you to delete all the data.

Now, when a new threat emerges, you find yourself wishing you still had access to those databases. Instead, agencies are forced to repurchase the same data—wasting taxpayer money and disrupting national security operations.

Failure, after failure, after failure

Federal agencies operate in isolation, and in many cases, even internal departments within an agency function in seclusion. How many times have we heard ‘They were on our radar’—only after tragedy strikes? From 9/11 to the Parkland shooting, from Flight 253’s attempted bombing to the Pulse nightclub and Pittsburgh synagogue shootings—again and again, agencies had the warning signs but lacked the means, approval or desire to act in time. The problem isn’t just bad data—it’s no data, no coordination, and no accountability.

So what’s next?

We need to face the truth: government bureaucracy is criminally inefficient. Agencies need data but lack access to it. Privacy laws, in their current form, aren’t protecting privacy—they’re guaranteeing wasted money and creating dangerous gaps in national security.

We’ve built the largest data lake, spanning 130 countries, containing PII and biometric data—and we’ve been responsible stewards of it. What the government and private security firms need is a former Boy Scout and his brilliant, America-loving team to create an AI-as-a-service platform with all the data they require.

Oh wait—we’re already doing it.

We’re building the world’s first Large Intelligence Model (LIM)—a revolutionary AI that doesn’t just process data but thinks strategically, learns dynamically, and anticipates threats before they strike.

Soon, we’ll unveil exactly what a Large Intelligence Model is—and how it will redefine the way we detect and prevent threats, both foreign and domestic. We hope you’ll join us on this journey.

Until next time,
-JJP