AI & AUTOMATION INFRASTRUCTURE FOR REAL ESTATE

The deal you lost was answered slower than the one you won.

Jarvis Labs builds the deal-flow automation, AI-assisted underwriting, and inbox workflows that turn slow follow-up and copy-paste into hours back and faster deal velocity. We run the same self-hosted stack we install for you.

For operators in real estate · engineering · professional services

Built for operators in
  • Real Estate
  • Engineering & Construction
  • Professional Services
  • Local Service Businesses

What we build

Seven services that compose into one phased AI operating platform.

Each stands alone; together they become the layer your acquisitions or engineering team runs on — built from the ground up around your deal flow, underwriting, inbox, and IT.

Signature service

ML & Data Analytics

Investment-ranking models, market and portfolio analytics, and the automated ETL pipelines that feed them — the same work Adrian ships inside an institutional real-estate fund, built on the data you already license. Forecasting, comps, dashboards, and underwriting signals your team can actually trust.

Fluent in the institutional data stack

CoStarMoody's / ReisMSCI Real Capital AnalyticsAxiometricsJohn Burns ResearchNIC (Seniors Housing)Oxford EconomicsiLEVELRealPage

We integrate, clean, and model the sources you pay for — no rip and replace.

Process Optimization

Map where time leaks across your deal and ops workflows, then redesign the broken parts before automating them.

Automation Builds

n8n, Make, and custom pipelines that run the repetitive work end-to-end.

CRM Setup & Integration

HubSpot/CRM wired to your deal flow, with clean data and no double entry.

Knowledge Systems

Searchable memory across documents, deals, and comms so nothing gets lost.

Speed-to-Lead AI Agents

Instant, qualified responses to inbound so you never lose a deal to slow follow-up.

Custom AI Skills

Agents tuned to your underwriting, screening, and ops — not generic chatbots.

How It Works

From bottleneck to system in three steps.

01

Book a Call

A 30-minute working session. We map your stack, your deal flow, and where the hours and deals are leaking.

02

Your Automation Audit

A written, prioritized plan (a paid deliverable). You get the roadmap whether or not you hire us to build it.

03

Implement

We build, integrate, and hand off — or stay on to operate and keep improving the system.

The Deliverable

What you walk away with

The Automation Audit is a real document — specific tools, real numbers, and a plan you can act on. Not a sales pitch, not a deck of promises. You see the financial case and decide what to build before we build a thing.

You keep the report either way. Whether or not we build together, the analysis is yours.

Automation Audit — Contents
06 / 06
  • 01

    Executive Summary

    A clear overview of your automation landscape and the top opportunities.

  • 02

    Effort vs. Impact Matrix

    Visual prioritization of every workflow we analyzed.

  • 03

    Recommended Solutions

    Specific off-the-shelf tools matched to your workflows.

  • 04

    4-Day Quick Win Plan

    Concrete actions you can take in your first week.

  • 05

    Financial Impact Analysis

    Projected time and cost savings per automation.

  • 06

    Implementation Roadmap

    A phased plan for full rollout.

Who Builds This

Engineering-grade AI and ML, proven inside institutional real estate.

Adrian Kay is an engineer turned data scientist who has spent six years inside Madison International Realty, a global real-estate private-equity investor — building the AI models, machine-learning deal-ranking, and data infrastructure an institutional shop actually runs on. This isn’t theory; it’s the day job.

Before that he sourced and underwrote NYC acquisitions at Megalith Capital and built their ground-up algorithmic deal-sourcing platform. He started as a civil engineer at Arup (MEng, UCL), killing manual design work with Python and VBA — the same instinct, a different domain.

What’s rare is the range. From the GPUs, NAS, and networking in his own self-hosted AI lab down to the models, pipelines, and agents running on top, he works the full stack — hardware to software. Most teams have one side or the other; his systems reach production because he owns both.

Jarvis Labs is how he brings that in-house capability to operators who can’t staff a data-science team: a phased AI operating platform — deal flow, underwriting, inbox, then the IT backbone — built from the ground up around how you already work.

Hardware + software · one operator

Unraid NASGPU + agentsn8n workflows

He uses what he sells — so you get a system that already works, not a pitch.

Track Record

  1. Senior Data Scientist

    Madison International Realty2020 — Present
    • Built and run a real-time commercial real estate analytics platform across 50+ US & European markets and multiple property types.
    • Designed automated ETL pipelines (Airflow, AWS Redshift, Microsoft Fabric) that cut data-processing time ~90% across 15–20+ sources.
    • Built ML investment-ranking models — Random Forest, ensembles, multi-year CPPI forecasting, backtesting — feeding Power BI/Tableau decision dashboards.
  2. Data Scientist

    Megalith Capital Management2019 — 2020
    • Sourced and underwrote NYC residential & commercial real estate acquisitions.
    • Lead data scientist on Megalith's ground-up, algorithm-based deal-sourcing platform.
  3. Consultant & Engineer

    Arup2015 — 2019
    • Deployed a TensorFlow object-detection model for highway traffic analysis in Hong Kong.
    • Led a 10-person team across 5 residential projects; VBA/Python automation cut design time & cost ~20%.

Education

  • MEng, Civil Engineering · University College London (UCL)
  • Data Science Fellow · NYC Data Science Academy

Stack

PythonSQLAirflowAWS RedshiftMicrosoft FabricPower BIMLflown8nClaudeNext.jsPostgresHubSpot

Engagement

Three ways to work together.

Automation Audit

A paid, fixed-scope audit of your operation. Executive summary, impact matrix, quick wins, and a full roadmap.

Fixed fee · credited toward a build

  • Executive summary and effort-versus-impact matrix
  • Specific off-the-shelf tools matched to your workflows
  • 4-day quick-win plan and implementation roadmap
  • Projected time and cost savings you keep, build or not
Start with an audit
Most Popular

Build Sprint

We implement the roadmap. Fixed-scope automation builds, integrations, and AI agents shipped in focused sprints.

Scoped per project

  • Automation builds, CRM and inbox integrations
  • Speed-to-lead and underwriting AI agents
  • Built on tools you own and control
  • Shipped in focused, value-first sprints
Scope a build

Operate / Retainer

Ongoing partnership. We run, monitor, and extend your automation stack as your operation grows.

Monthly retainer

  • Monitoring and upkeep of your automation stack
  • Continuous extension as deal flow scales
  • Priority support on the systems we installed
  • New skills and agents added as needs emerge
Talk retainer

Every engagement starts with the audit.

Questions

Before you book.

Get Started

Let's find the hours your team is losing.

Book a 30-minute working session. We'll map where slow follow-up and copy-paste are costing you deals — and you'll leave with a concrete next step, whether or not we build anything together.