Some companies begin with a team, a funding round and a business plan. Akhil Pamarthy’s began with a problem he couldn’t stop thinking about, a programming language he didn’t yet know, and a decision to start anyway.
Today, Pamarthy is introducing Offline Intelligence, an AI infrastructure company that builds software systems for data-sensitive environments and regulated industries. Its core idea is simple: organizations should own their intelligence, running it on their own hardware, inside their own environments, without depending on a network or an outside provider.
The company is completing its incorporation, with an official launch planned for November 2026. Behind it is a founder whose path has been defined less by shortcuts than by persistence.
The Wall That Started It All
Pamarthy’s career has covered an unusually wide range of roles. He has worked as a procurement executive and a frontend developer, served as a software developer intern at Texas A&M University-Commerce under Professor Dr. Mete Mutlu, and worked as an AI engineer at Gray Logic Technologies. Along the way, he earned a bachelor’s degree in mechanical engineering and a master’s degree in computer and information sciences.
It was while building computer vision systems for insurance claims that he found the problem that would define his next chapter. The technology worked, but projects kept stalling for the same reason. The data had to leave the customer’s environment to be processed, and in regulated industries, that was often a dealbreaker.
Pamarthy came to see this as a much larger issue. Software, research and automation companies were quickly gaining from AI, while the industries that protect human life and liberty were held back by privacy concerns and performance limits. He wanted to remove that friction.
Building Alone, Learning Everything
The hardest part, he says, was doing it without a team. His vision required an inference runtime that could run AI entirely on someone else’s hardware with no network connection, and the technology he needed didn’t exist in the form he required.
So he learned what the work required. Pamarthy taught himself Rust, a systems programming language known for its speed and reliability, and in March 2026 published the Offline Intelligence Library, a cross-platform local inference runtime with bindings for Python, JavaScript, Java and C++.
“Do not wait for the right person to join before you start,” he says. “The skill you are missing is usually learnable, and learning it yourself teaches you things about the problem that you would never get from delegating it.”
That persistence goes back years. As an undergraduate at Malla Reddy University, Pamarthy was part of Team Rudra, which took second place at the Fraternity of Mechanical and Automotive Engineers Formula Kart Design Challenge 2018. He worked on the engine and transmission, and under his guidance the team also won the award for best technical presentation. The experience taught him to engineer within hard physical limits, a skill he now applies to AI built for real-world hardware.
What Offline Intelligence Builds
Offline Intelligence’s core technology, operating system and legal software have been built, tested and validated. The company is now working with prospective pilot customers on letters of intent and proofs of concept.
Its technology spans three areas. Offline Counsel AI is purpose-built for law firms, in-house legal teams and legal practitioners, giving them private legal intelligence that keeps client files inside their own environment. Aurora OS is designed to deliver battlefield intelligence for mission-critical operations. And the company builds custom AI infrastructure and software for organizations with data-sensitive needs.
Pamarthy believes the real value lies not only in the AI model itself but in the systems built around it. Those systems decide which tools to call, how to operate and how to deliver reliable results. Offline Intelligence is starting there, building the infrastructure that harnesses AI’s capabilities, with longer-term plans to develop its own small language model and move closer to the hardware.
A Strategy Built for Two Worlds
Offline Intelligence follows a dual-use business model, serving both commercial customers and government and defense organizations.
On the commercial side, legal technology comes first. Law firms deal with highly sensitive information, which makes them a demanding proving ground for private AI. Success in this market is designed to generate recurring revenue, fund ongoing research and development, and demonstrate product-market fit in a zero-trust environment.
On the government side, Offline Intelligence is preparing proposals for national programs such as SBIR and DARPA. Contracts of this kind provide capital and validate technology at the highest security standards. They also serve the company’s long-term focus on defense, surveillance and national security operations, where systems often must work with no network at all.
The company is also choosing a different pricing model from much of the AI industry. Instead of relying only on recurring subscriptions, Offline Intelligence offers perpetual licenses for its legal software and custom deployments for larger organizations. Customers own what they deploy.
Pamarthy sees this independence as the company’s deepest advantage. Cloud providers, he argues, cannot easily build offline-first tools because their business models depend on keeping customers connected to their platforms. Offline Intelligence was built air-gapped from day one.
“Cloud service providers sell access to their intelligence,” Pamarthy says. “We get you deployed with your own intelligence on your own infrastructure.”
The Road Ahead
The company’s plan unfolds in phases. The first focuses on the application layer: software that solves specific business and mission problems, starting with legal intelligence, workflow automation, offline e-discovery, privileged document redaction, due diligence and secure contract analysis.
The second moves into hardware and compute. That includes hardened, on-premises AI appliances, such as rack-mounted servers and local workstations, that keep data inside the building. It also includes low size, weight and power edge devices capable of running AI in contested, disconnected environments such as drones, naval vessels and forward operating bases.
In the near term, Pamarthy is focused on launching the company, securing pilot agreements with legal teams, beginning the compliance and certification process, and hiring sales and engineering talent. He is also actively searching for co-founders who share his vision.
Over the next three years, he aims to establish Offline Intelligence as a serious competitor in legal technology, earn compliance certifications, and win projects with agencies such as DARPA, SBIR and the Department of Homeland Security.
Grit as a Founding Principle
Pamarthy’s story is still in its early chapters, but its defining trait is already clear. When he lacked a team, he built alone. When the technology didn’t exist, he learned the skills to create it. When the industry assumed AI must live in the cloud, he set out to prove otherwise.
His mission for Offline Intelligence reflects that same determination: to empower humanity to flourish and operate without relying on a network for intelligence.
For a founder who started with nothing but a stubborn problem, that mission is just getting started.