Most startups are told to choose a lane. Serve businesses or serve government. Sell to companies or bid on contracts. Trying to do both too early, the usual advice goes, spreads a young company too thin.
Akhil Pamarthy has taken a more deliberate path. As founder of Offline Intelligence, an AI infrastructure company building intelligent systems that run without a network, he has designed his business to serve two worlds from the start: commercial enterprises with sensitive data, and government and defense organizations with mission-critical needs.
To Pamarthy, this is not a lack of focus. It is the strategy.
“A dual-use business model, commercial plus government and defense, is one of the most defensible and highly valued architectures in the current market,” he says.
Knowing Exactly Who the Customer Is
Pamarthy’s strategy starts with a precise definition of the customers he wants to serve. He separates them into two overlapping groups.
The first is data-sensitive environments: any system, network or organization where the confidentiality, integrity and availability of data are critical because the data itself is valuable, private or dangerous if compromised. A hospital’s electronic health records, a bank’s core platform and an HR department’s employee database all fit this description.
The second is highly regulated industries: sectors governed by extensive laws, regulations and oversight bodies, such as healthcare, pharmaceuticals, energy, defense, aerospace and telecommunications.
The distinction matters because the two groups worry about different things. Data-sensitive environments are driven by security risk, the danger of valuable information being exposed. Regulated industries are driven by legal obligation, rooted in their impact on society, the economy or national security. Not every sensitive environment is heavily regulated, but most regulated industries operate within sensitive environments.
Offline Intelligence is built for the space where those concerns meet. By running AI entirely on an organization’s own hardware, it addresses both the security question and the compliance question at once.
Two Revenue Engines, One Technology
Pamarthy’s dual-use model gives each side of the business a specific job.
The commercial side begins with legal technology. Revenue from law firms and in-house legal teams is designed to fund ongoing research and development and to prove product-market fit in a zero-trust environment, where no outside system is assumed to be safe.
The government side follows a different logic. National programs such as SBIR and DARPA provide capital and, just as importantly, validate technology at the highest security standards. Offline Intelligence is preparing to submit proposals to these programs, aligning its technology with defense, surveillance and national security operations.
Each side strengthens the other. Commercial customers provide steady revenue and real-world feedback. Government work brings credibility that is difficult to earn any other way. A system trusted with national security operations is easier to trust with client files, and a product proven in law firms offers a practical foundation for mission-critical deployments.
Starting With One Market Done Well
Dual-use does not mean doing everything at once. Pamarthy has been disciplined about where Offline Intelligence begins.
“Doing one thing well for one group of people will always beat doing five things adequately for everyone,” he says.
That is why the company’s first commercial product is aimed at a single industry. Offline Counsel AI is purpose-built for law firms, in-house legal teams and legal practitioners. Its focus areas include legal intelligence, workflow automation, offline e-discovery, privileged document redaction, due diligence and secure contract analysis.
Legal is a natural starting point. Lawyers handle large volumes of confidential documents and owe strict duties to their clients. The demand for AI is real, but many firms hesitate to send client files to outside cloud providers. A private system that keeps everything inside the firm speaks directly to that hesitation.
Alongside its commercial products, the company also plans to offer free software for developers and everyday local inference, helping build familiarity with offline-first AI across the wider technology community.
Selling Ownership, Not Access
The second pillar of Pamarthy’s strategy is the business model itself. Much of the AI industry runs on recurring subscriptions, where customers pay continuously for access to systems they do not control.
Offline Intelligence takes a different approach, built on perpetual licenses and custom deployments. Law firms can purchase lifetime licenses for its legal software, while larger organizations can commission custom software and hardware solutions based on their requirements.
“Our customers own their intelligence, on their infrastructure, inside their environments, with little compute, energy and, most importantly, money,” Pamarthy says.
For regulated buyers, ownership is more than a pricing preference. It means predictable costs, full control over where data lives and no dependence on a vendor’s servers staying online.
A Moat Built Into the Business Model
Pamarthy believes his company’s greatest advantage is one that larger competitors cannot easily copy. Major cloud providers have built their businesses around keeping customers connected to their platforms. Building truly offline-first products would work against that model.
Offline Intelligence, by contrast, was air-gapped from day one. Its technology runs entirely on local hardware, with no network dependencies. Pamarthy also emphasizes that the company’s technology is transparent and auditable, an important trust factor for organizations that must be able to explain and verify the systems they use.
He also sees a difference in capability. Rather than focusing only on inference, generating answers from a model, Offline Intelligence is focused on performing operations in real time, supporting decisions as they happen.
Sequencing for the Long Game
The company’s growth plan reflects the same discipline. The first phase centers on the application layer: software that solves specific business and mission problems, starting with legal. The second phase extends into hardware and compute, including on-premises AI appliances for organizations that want data to never leave the building, and compact, energy-efficient edge devices that can run AI in disconnected environments.
Offline Intelligence’s core technology and legal software have already been built, tested and validated, and the company is now working toward pilot customers and proofs of concept ahead of its planned launch in November 2026. Over the next three years, Pamarthy aims to compete with established legal technology companies, earn key compliance certifications and secure projects with agencies including DARPA and the Department of Homeland Security.
Lessons for Founders
Pamarthy’s approach offers useful lessons for entrepreneurs in demanding markets. Define your customer precisely, down to what they fear and what they are obligated to protect. Choose a first market and serve it exceptionally well. Design a business model that matches what your customers value most. And look for advantages that larger competitors cannot easily copy without undermining their own business.
Above all, his strategy shows that focus and ambition can work together. Offline Intelligence starts with one market and one product, but its structure is built for something much larger: bringing private, self-contained intelligence to the institutions that need it most.
