Become AI-native before the market forces you to. We deploy AI engineers inside your team to build the exact infrastructure, tools, and workflows your organization needs.
The problems / 01
Most software is built for the average company. Your firm underwrites, manages projects, and makes decisions its own way, so the product never quite fits. Your team fills the gaps by hand.
Teams without AI engineers can turn good ideas into working drafts. But those drafts often stall, or create security, reliability, and integration problems, because no experienced AI engineer is there to take them into production.
SaaS makes the business fit the software. Teams end up changing their workflows to fit the product instead of getting software built around the business.
What we do / 02
We deploy engineers into your firm. They learn how the work gets done, then build the AI systems around it.
Our engineers work with the people doing the job. They study the systems, data, and decisions behind the operation.
Embedded / Technical / FlexibleWe connect the information AI needs, build the workflow, and deploy it inside your network, your cloud or on-premises.
Your network / Your systems / Your dataThe engineers stay as priorities change. The team grows or shrinks with the work instead of leaving you with another rigid product.
Built for the firm / Refined in useWhere we work / 03
We know the documents, decisions, and handoffs behind the work.
Rent rolls, T12s, credit agreements, underwriting, deal pipelines, lender coverage, and asset reporting.
RFIs, submittals, change orders, project controls, field reporting, and the handoffs between office and job site.
Capital plans, bids, contracts, work orders, inspections, compliance records, and project reporting.
It reads the documents, checks the numbers, and keeps the deal pipeline in one place.
Reads rent rolls, T12s, and credit agreements and produces structured, checked data. When a number does not reconcile, it flags it instead of guessing.
Monolith runs in your network, works with your existing systems, and uses your data and models. We build for you, not for a product line.
How we start / 05
We look at the current systems, data, documents, and how the team actually works.
We identify the work AI can take on, what needs better infrastructure first, and what is not worth doing.
Our engineers build inside your environment and refine the system as the business changes.
The team / 06
Founder and builder with a long career in financial technology, with work spanning Deutsche Bank and Google. Former PhD candidate in AI; traded academia for industry.
Formerly Head of Marketing and Technology at Marcus & Millichap’s New York Multifamily, overseeing the marketing of over $4B in investment sales.
Start here
We review your systems, data, and how the team operates, then tell you what to build and why. If it is not worth doing, we say so.