Built by real CRE operators & AI researchers with experience across:
Custom AI SystemsThat Scale Your Operations
Trusted by Professionals at
Our Services
Three Ways to Put AI to Work.
Find Where AI Actually Pays Off.
We map how the work actually gets done, then find where AI adds real speed and quality without breaking process.
- Workflow design - where AI adds speed without breaking process
- License adoption - real value from Claude, ChatGPT, Copilot, Gemini
- Governance & safe use - inside your policies, data rules, and controls
AI Across Your Whole Deal Pipeline.
A hands-on course for the people who run deals, not engineers.
- Built for deal people - no coding or engineering background needed
- Claude as the foundation - the same skills carry into ChatGPT, Copilot, and Gemini
- The full pipeline - lead gen and marketing through underwriting, diligence, asset management, and much more
The AI Employees That Run the Work.
ARC builds custom AI employees for the teams whose time is most expensive.
- Enterprise-grade security - the work runs inside your own environment, and nothing you send is used to train any model
- No variable costs - no usage meter, no per-seat charge, the busy month costs the same as the quiet one
- You own everything - the outputs, the data, and the environment stay yours
The Roster
Meet Your AI Employees.
AI Lead Gen
Runs personalized outreach in your voice, qualifies inbound against your criteria, sequences the follow-ups, and keeps the CRM clean - only warm, qualified replies land on your desk.
- Personalized outreach in your voice
- Inbound qualification to your criteria
- Multi-step follow-up sequencing
- CRM enrichment - warm leads to you
The Specification
Five Things That Never Vary.
On the way to SOC 2.
One fixed monthly fee.
Upkeep is ours. You stay on the deals.
Measured against frontier pricing.
Your data, your outputs, your environment.
The Difference
One Model. One System.
A universal model does everything adequately. A system of specialists does each thing well. Pick any question to compare.
The same generalist takes every task, whether it suits the task or not.
Each task goes to the specialist suited to it. The system is the sum of those specialists.
Why ARC
Strong Tools, Separate Windows. None of Them Talk.
ARC Brings Them Together. One Native System.
AI employees that orchestrate the tools you already use into one system, working your CRE deal pipeline end-to-end.
The Math
More Output. A Fraction of the Cost.
The Proof
A Few Workflows. Real Returns.
Security and Data Residency
Your Data Never Leaves Your Environment.
The System Works Here
Your AI employees run inside the boundary. Finished work is delivered inside it too.
The safest data is the data that never moves
On the Path to SOC 2Before You Ask Your IC
The Questions Your Committee Will Raise.
01Why ARC vs Claude, ChatGPT, or our internal tools?
Off-the-shelf AI is a strong individual assistant - but it still needs a person to drive it, copy outputs between tools, and check the work. ARC ships AI employees that run the whole workflow inside your stack, in your templates, with enterprise protection and a source trace on every number: managed, integrated, and accountable.
02Who owns the data?
You own all of it - every input the AI employee works from and every output it produces. Your models and documents are never used to train public AI models.
03How does it pull comps and market data?
You have two options: work with the sources you already license and the documents you already have - OMs, rent rolls, T-12s, your CRM, and your data providers - or we help you stand up the right tech stack to get the data behind the results you're after. Either way, every figure is cited back to where it came from.
04Is this just for underwriting?
No. Underwriting is the common starting point because the ROI is obvious, but the same approach runs sourcing, prospecting, IC memos, asset management, investor relations, and ops. We scope your highest-leverage workflow first, then expand from there.
05Can it aggregate data from multiple sources into one model?
Yes. Pulling scattered inputs - PDFs, spreadsheets, emails, provider feeds - into one source-traced model is exactly the kind of work an AI employee is built to do.
06We run a specialized strategy. Can it handle that?
Yes. Each AI employee is built around your assumptions, templates, and process - not a generic template - so it handles your strategy, not a vendor's idea of it.
07Will it work with our templates and tools?
It works inside them. No dashboard migration, no new login - your Excel models, your CRM, your email, and your reporting templates, exactly as they are. If a tool has an API, we can connect to it.
08How fast can we start?
Your first AI employee is live in 5-15 business days once the workflow is scoped. Each one after that ships faster than the last.
09What does it cost?
A fixed monthly engagement - compute, infrastructure, hosting, and monitoring all included. We start with a low-risk pilot on one workflow, so you see the ROI before committing further.
10Can investors and LPs get automated reporting?
Yes. An AI Investor Relations employee produces LP reports, capital-account statements, and distribution notices in your templates, on schedule.
Pick a Workflow. Let's Build It.
A short call. Bring one deliverable that eats your team's time. We map the pipeline end-to-end and show what an ARC AI employee would do.