A career spent
selling and building systems.
KRLR is a strategy and execution partner led by Khoja Rahimi, who spent more than eight years selling, architecting, and delivering enterprise systems before building them for owner-operated businesses. A small, named team works with him on every engagement that needs it.
Khoja’s career began on the enterprise side of security and IT: more than eight years selling, architecting, and delivering systems for public agencies and private companies, on programs that ran into seven and eight figures and often sat inside PCI, PHI, or PII compliance boundaries. He closed more than $16 million over that career, and he stayed on the projects through deployment and support — the part of the work that teaches what a proposal actually costs to deliver, and what a client remembers a year later.
That work covered multi-agency and multi-department operations, where the hard problems are rarely technical: agreeing who owns a decision, what a system may do on its own, and how a change gets approved. Those habits — scope in writing, explicit authority, an audit trail — are now the foundation of how KRLR designs anything that acts on a client’s behalf.
Alongside the enterprise years, Khoja built companies of his own. He founded and sold startups in AI robotics, and he led a 70,000-member online community and its subscription business (Icon Network) to $250,000 in monthly gross revenue — an operator’s education in acquisition, retention, and running a business on real numbers. He has also shipped an AI product in a regulated space and run its go-to-market from the first conversation to enterprise contracts.
He is a builder as much as a strategist. He writes code, designs interfaces, and assembles the agent systems he recommends; KRLR itself runs on them. That is deliberate: a recommendation carries more weight when the person making it has to live with the same system.
Khoja spent seven years in Texas and now works from Virginia with clients across the country.
What the enterprise years
left him with.
Security and IT systems for public- and private-sector organizations, from first meeting through delivery and support.
Solutions sold, scoped, and carried through to working deployments.
Multi-agency and multi-department programs, designed, deployed, and managed end to end.
Integrations, audits, and ongoing support inside compliance boundaries.
The leverage sold to large organizations
rarely reaches the businesses that need it most.
Years on the enterprise side showed the same pattern again and again: the tools, the process discipline, and the go-to-market machinery that large organizations buy as a matter of course almost never reach owner-operated businesses. Not because those businesses would not benefit — they would, often more — but because nobody packages the work at their scale, prices it honestly, or stays around to make it land.
KRLR exists to close that gap. The same commercial rigor and the same systems thinking, sized for a business where the owner is still on every consequential call, delivered by people who build the systems themselves and put their names on the outcome.
Four things he does
hands-on.
- 01Go-to-market
Positioning, pricing, sales process, and pipeline — the commercial engine of a business, designed so a small team can run it.
- 02AI agents and agent teams
Research, outreach, quoting, marketing, and operations agents with approval gates and an audit trail. Khoja builds these himself and runs them inside KRLR before recommending them to anyone.
- 03Websites and digital experiences
Storefronts, service sites, and the content and lead systems behind them, built to be maintained by the people who own them.
- 04Regulated systems and operations
Multi-agency and multi-department operations; PCI, PHI, and PII-regulated integrations, audits, and support. The enterprise years are where the habit of making scope explicit before work starts was formed.
Alejandro
Lead AI & Machine Learning Engineer
The intelligence layer of every agent KRLR ships.
Alejandro is responsible for how an agent thinks: model selection and evaluation, retrieval over a client's own data, the guardrails that keep an agent inside its brief, and the measurement that shows whether it is helping. When a project involves an agent or an agent team, he defines the approach with Khoja, builds the reasoning and data layers, and owns their reliability in production.
On an engagement you meet Alejandro at the design stage, where the job an agent will do and the information it needs are agreed, and again at testing and handoff, where the failure cases and the review points are demonstrated before release.
Sohrob
Full Stack SecOps Developer
The application code, the infrastructure, and the security posture of what KRLR deploys.
Sohrob builds and secures the systems the work runs on: application code, integrations with the tools a business already uses, hosting and deployment, access control, and the operational hygiene that keeps a system trustworthy after launch. He brings a security-first habit to everyday product work, so protection is designed in rather than added later.
On an engagement you meet Sohrob wherever code, data, or access is involved: integration planning, the build itself, the security review before go-live, and the documentation and handoff that let your team own the system afterward.
Founder-led,
with named collaborators.
Khoja leads every engagement and stays in it as the work develops. Alejandro and Sohrob join where a project needs their depth, and every proposal names who is doing what. There is no bench, no account manager, and no handoff to people you have not met.
- 01Understand the situation
The business, the people involved, and the constraints that matter — before any recommendation.
- 02Make the scope clear
Deliverables, required inputs, and responsibilities agreed in writing before the work starts.
- 03Build it to be used
Words, design, and the everyday workflow get the same attention as the system underneath.
- 04Stay through adoption
Handoff, documentation, training, or ongoing support — whatever the engagement needs to actually land.
you have in mind.