The AI operating system
Every expert you need.
Running 24 hours a day.
harperOS deploys expert AI agents trained on your company's knowledge, structured into your workflows.
Your agents running on your OS in 30 days.
100+
Expert AI agents deployed
20+
Department deployments across clients
2×
Output per team member, out the gate
The inflection point
Most companies are stuck between exploring and deploying.
73%
of companies have AI initiatives that never move past pilot stage
5-10h
per week wasted per employee searching for information across scattered systems
70%
of organizational knowledge is undocumented and lives only in employees' heads
Sources: McKinsey (2024), IDC
The platform
One system. Three layers.
harperOS sits above your AI tools and connects knowledge, agents, and workflows into a unified operating layer.
BaseOS
The operating system
- →Deployed on your Google or Microsoft cloud drive
- →Knowledge architecture and folder structure
- →Workspace integration, transcript capture, automation
- →QA, health checks, and scheduled agent runs
- →Model agnostic: Claude, ChatGPT, Gemini, or whatever comes next
Your knowledge
The expertise layer
- →Your knowledge captured, curated, and structured for AI
- →Transcripts, documents, and tribal knowledge ingested
- →The model provides intelligence, your expertise provides accuracy
- →Gets smarter over time as your team uses it
Expert Proxy Agents
The workforce
- →One agent, one role, deep expertise
- →Each agent has a job description, knowledge base, and rules
- →Built from your team's expertise or deployed off the shelf
- →You used to hire the expert. Now you deploy one.
Expert Proxy Agents in action
What your AI workforce looks like in production.
One agent, one job. Trained on your expertise. You direct. They execute.
People & Culture
Proxy Onboarding
From: New hires shadow for weeks, ask the same questions, and piece together tribal knowledge across the organization.
To: The proxy delivers your playbooks, answers onboarding questions on demand, and walks new hires through your systems. You approve the path. They produce in days.
Onboarding in days.
Marketing
Proxy Content Strategist
From: Your best marketer spends Monday morning researching what to write, scanning competitors, and prioritizing by gut.
To: The proxy pulls SEO data, ranks topics by audience signal, drafts the brief, and publishes a prioritized content calendar. You review Monday morning and direct the narrative.
3x content output. Same team.
Sales
Proxy BD Strategist
From: Every rep spends the first hour of every day researching accounts, reading news, and drafting outreach from scratch.
To: The proxy researches prospects overnight, writes personalized hooks, scores accounts, and updates your CRM before your team arrives. Your reps sell. The proxy prepares.
An hour back per rep, per day.
Legal & Compliance
Proxy Compliance Reviewer
From: Legal reviews every draft from scratch. Content waits several days. One person holds the queue.
To: The proxy pre-screens every ad and piece of content against your compliance rules and sends compliance reports to the compliance lead for final approval. Your team owns the judgment.
2x review velocity. Same rigor.
Operations
Proxy PM
From: One person tracks action items, deadlines, and follow-ups across every meeting. Things fall through.
To: The proxy extracts action items from every transcript, assigns owners, sends Slacks, and follows up on deadlines on your behalf. You manage the priorities.
5-10 hours back per week.
Executive
Proxy Executive
From: You spend two to three hours daily drafting emails, follow-ups, and strategic notes. Each one written from scratch.
To: The proxy classifies your inbox, drafts replies in your voice, and saves them for review. You scan, approve, and send. Three hours back before lunch.
2-3 hours back per day.
Two ways to build an expert agent
01
Built from your expertise.
We capture the knowledge of your best people — transcripts, documents, interviews — and build it into a custom agent.
02
Off the shelf, ready to configure.
Pre-built expert agents — SEO strategist, compliance reviewer, personal writer. The expertise is built in. You configure it with your context.
“This is just like hiring a person. This is such a different but common sense way of thinking about it.”
Head of Marketing, Series F WealthTech
How it works
Your operating system deployed in three steps.
Most AI projects take 12+ months to reach production. harperOS deploys in 30 days because the system is already built.
We deploy the BaseOS
The operating system — activated on your Google or Microsoft cloud drive. Knowledge architecture, folder structure, rules engine, and all platform capabilities ready to ingest.
You onboard us like an employee
We build the knowledge base from your team’s expertise: transcripts, documents, and tribal knowledge captured through structured conversations. This is where we train the agents.
We deploy the agents
Expert Proxy Agents deployed alongside your team members. Calibration, fine-tuning, and feedback loops. Deployed on Claude by default — or your internal platform.
The multiplier effect
The fifth agent takes a fraction of the effort of the first.
Every agent you deploy adds to a shared knowledge base. Each new agent launches faster and performs better because the foundation is already there.
85%
of knowledge reused by the fifth agent — built on the foundation of the first four
90%
of the work done by the agent. Your team approves the last 10%. That's the design.
0
knowledge lost when someone leaves. Everything captured, structured, and preserved in the system.
Why us
Built by operators. Proven in production.
We didn't build harperOS from a research lab. We built it from the inside: 24 months of enterprise-scale deployment with real stakes, real deadlines, and real budgets.
Our founders led growth at PayPal, Victoria's Secret, Chase, and Citibank before deploying AI across every department at a leading digital assets firm.
We've been in your seat. We know what works because we've done the work.
Your agents. Your OS.
Deployed in 30 days.
Book a free strategy session. Walk away with a deployment roadmap, regardless.