Persistonal™ - Opt-In Memory That Actually Follows You

Persistent + Personal Memory for AI
= 85–95% Less Compute & Energy

PERSISTENT MEMORY UNITS™ (PMU)

“This could save hundreds of millions of dollars per year in compute costs for a large AI company, plus massive reductions in energy usage and carbon footprint.” – GROK analysis

The Problem

Current AI systems are extremely inefficient at long-term persistent memory. Persistonal solves this at the foundational level - delivering potentially 85–95% savings on exactly the workloads that are currently the most expensive. This isn’t another RAG technique. It’s a new memory layer that makes everything above it (including CUDA/GPU compute) far more efficient.

AI is Inefficient

Exploding Costs, Zero Long-Term Memory

High reprocessing costs

Reprocessing Everything, Every Single Time

0 Continuity

No Memory = 0 Context and Endless Spend

Why Persistonal Is Better

Capability

No loss in capability and actually provides a better user experience

Tremendous savings

potentially 85–95% reduction in tokens and energy per conversation

Easy to implement

Dramatic savings at scale - lowering carbon footprint

Persistonal is opt-in persistent + personal continuity - the thing that was always promised in sci-fi but never properly delivered: AI that actually knows you over time, remembers what matters to you, and does it effectively and efficiently.

AI companies are burning hundreds of millions of dollars every year on wasted compute.

For AI Data Centers In Space

Persistonal becomes extremely valuable.

Persistonal dramatically reduces the amount of data that needs to be kept “hot” in memory or re-tokenized repeatedly (potentially 85–95%+ savings on long-context workloads).

Allows each satellite to do more useful work per watt and per kilogram launched.Makes the entire orbital fleet far more efficient – which directly improves the economics of the whole project.

Enables better personalized, long-term memory for users/agents even across orbital systems (e.g., your Optimus robot on Earth talking to orbital compute).

Power and cooling are only half the battle. The other half is memory efficiency. Persistonal attacks that second half at the foundational level.

Persistonal would make that orbital bet much more viable and profitable by squeezing way more performance out of every satellite launched.

For Banks and Financial Services

Persistonal helps lower the ‘History Tax’.

The banking and financial services industry is one of the largest potential markets for foundational AI efficiency.

Every day, banks re-process enormous amounts of transaction history, spending patterns, risk profiles, and customer behavior data. This “history tax” is one of the most expensive parts of running modern financial AI systems.

Persistonal™ is built to solve exactly this problem – delivering a persistent memory layer that dramatically reduces compute and energy costs while enabling true long-term personal continuity for customers and institutions.

In an industry where data is abundant but efficient recall is expensive, the opportunity is massive.

For Robots

Persistonal gives Optimus (and others) true long-term personal memory at extremely low cost.

You walk into O’Hare, grab a coffee from the McDonald’s robot, then fly to Nashville. You stop at another McDonald’s on Dickerson Rd, and the robot says, “Welcome back Robert – another coffee?”

Later, your plans change. You need to fly to LA instead. At the counter, the robot says, “Welcome back Robert, I know you prefer seat A22 – can I book that for you?”

You check into the Hyatt, and the robot at the front desk says, “Welcome back Robert, your usual room is ready and the AC is set at 74 degrees, just like you like it. Would you like the chocolate snack you enjoy? I’ll have it brought up to the room.”

Back in your room, you remember something important you discussed with Grok two years ago. You open your laptop and say, “Hey Grok, find that one thing from a couple years ago…” and it pulls it up instantly, in full context.

All of these interactions are running 85–95% more efficiently – potentially using dramatically less compute and energy – because of Persistonal.

This isn’t the future. It’s built.

Opt-in Persistent + Personal memory that actually follows you.

Every LLM / Agent System Needs This

Every AI agent today wastes enormous compute constantly reloading and re-processing context from previous interactions.
 
Persistonal fixes this at the foundational level by creating evolving, lightweight Persistent Memory Units (PMUs) per user or agent.
 
Instead of re-processing history on every turn, agents instantly recall relevant context with minimal overhead.
 
The result is potentially 85–95% lower compute and energy costs, faster responses, and truly consistent behavior across time and platforms.
 
Every agent framework – from customer service bots to autonomous robots – performs significantly better with Persistonal sitting underneath it.

For Chat Boxes and Help Desks

Persistonal is the answer!

 
Anywhere an AI (or robot) needs to remember personal, long-term, user-specific information without it becoming prohibitively expensive, Persistonal can deliver massive efficiency + much better user experience.
 
This is why the potential value is so large – it’s not limited to one company or one product. It’s a foundational memory layer that can sit underneath many different AI/robotics systems.

Potential Outcomes:

Persistonal is currently in stealth and protected as a trade secret under the Uniform Trade Secrets Act (UTSA). We have validated the core method through extensive testing and are open to licensing or strategic partnership with the right teams pursuant to a non-binding term sheet with initial access, followed by full technical disclosure under NDA.

If you’re ready to start making more money by saving more resources (compute / energy), let’s have a chat.

contact@persistonal.com

Persistent & Personal

That's Persistonal