AI for the real world
Software for real estate decisions in motion.
SiteTech AI connects private project data, field evidence, deal files, and market intelligence into one governed operating layer. Human teams and AI agents work from the same record, so decisions can move from meeting, site, parcel, model, and contract into action.
Topography · Grade · Buildable area · Setbacks · Ledger
01
Operational map
Projects, parcels, contracts, actions
02
Agentic workflows
AI that reads, reasons, and routes work
03
Deployment cell
AI engineers embedded with your team
Why SiteTech
Most AI never leaves the chat window. Real estate happens in the real world.
The name says it: technology for the site. The building, the parcel, the field, the deal. We take frontier AI out of the sandbox and put it to work in the physical, document-heavy, decision-heavy reality of real estate and construction, wired into the systems your team already uses. That connection to the real world is where the value shows up.
01
Grounded in reality
Agents work from your actual projects, field evidence, and documents, not a generic model guessing about your business.
02
Time back to your team
Repetitive research, reporting, and coordination run in the background so your people focus on judgment and relationships.
03
Fewer surprises
Variances, risks, and deadlines surface earlier, while there is still time to act on them.
04
Knowledge that stays
Decisions and context are captured in a ledger, so institutional knowledge does not walk out the door.
05
One source of truth
Field, office, and capital partners work from the same record instead of scattered inboxes and spreadsheets.
06
Compounds over time
As the underlying models improve, the same workflows get sharper without a rebuild or a repurchase.
Platform
An operational foundation for human and AI teams.
The objective is not a chatbot beside your business. It is a governed operating layer where agents can understand the entities, constraints, permissions, and actions that make real estate work real.
View the platform01
Project map
A typed map of projects, parcels, contracts, budgets, schedules, scopes, people, decisions, and approvals.
02
Agent runtime
Specialized agents read the operating layer, call approved tools, draft outputs, and escalate decisions that need human approval.
03
System-of-record ledger
Important actions, transformations, approvals, and model outputs are written back to a traceable record.
04
Interoperability layer
Connectors built on each system's API and exports to move data between tools like Procore, Autodesk, Yardi, Salesforce, SharePoint, Microsoft 365, and firm-specific systems.
05
Evals and controls
Workflows are tested against your documents, policies, permissions, and edge cases before stronger models are promoted.
06
Forward deployment
SiteTech AI engineers build, ship, monitor, and iterate the workflows alongside your team.
Who it is for
A private AI operating layer for the real estate stack.
Development
For teams coordinating capital, approvals, consultants, and delivery.
Construction
For field and office teams managing execution across active jobs.
Brokerage
For teams turning market knowledge and relationship data into action.
Private Equity
For investment teams managing deals, assets, partners, and reporting.
Appraisal
For valuation teams handling research, comps, and report assembly.
How we deploy
Not a demo environment. A system installed into your operating reality.
SiteTech AI builds and maintains private, workflow-specific AI systems for real estate and construction firms. We do not drop off software and leave. We install the operating layer, then stay close as the work changes.
01
Map the operation
We learn how decisions actually move through your firm: people, systems, approvals, data sources, and handoffs.
02
Connect the record
We create a governed operating layer across your project data, deal files, documents, and existing software.
03
Deploy the agents
We build workflow-specific AI systems that read context, prepare work, route outputs, and preserve traceability.
04
Stay embedded
Our AI engineers monitor, improve, and extend the system as your business changes and model capability improves.
Model progression
The same workflow becomes more capable as the frontier moves.
The operating layer stays constant while model capability improves. When a stronger model becomes available, we evaluate it against the workflow, permissions, and ledger, then route the right tasks to the right model.
Explore the platformInsights
Field notes from building real-world AI.
The chat window is the wrong place to run a project
General-purpose AI assistants are impressive in a demo and useless on a deadline. The reason is structural: they have no record of your project. Here is what real estate and construction teams actually need instead.
ReadReading the job site: vision agents and progress you can trust
Cameras and drones already capture the job site. The hard part is turning that footage into progress the field and office both believe. The answer is grounding vision in scope, schedule, and evidence.
ReadYour AI gets better while you sleep
When the underlying model improves, a well-built workflow should get sharper without a rebuild or a repurchase. That is only true if the system was designed to be model-agnostic from the start.
ReadThe financial case
Time is the most expensive input in real estate. AI is how you stop wasting it.
A development or construction project carries cost every single day it is open, whether or not it moves forward. When a decision waits a week or a problem hides for a month, that delay is not only operational. It is interest expense, eroded returns, and risk that compounds quietly until it is expensive to fix.
AI changes the math in two ways. It keeps continuous eyes on the project so risk surfaces early, and it shortens the time between question and answer so the work keeps moving. Less idle time means less interest paid and less capital exposed.
The mechanics
days saved × daily carry = interest avoided
Compressing the schedule converts directly into reduced carrying cost.
caught early = caught cheap
A variance found this week costs a fraction of the same variance found next quarter.
01
Time is interest
Every day on the construction loan accrues interest, and carry, insurance, and general conditions accrue with it. Clearing blockers and compressing the schedule reduces that cost directly, not in theory.
02
Always watching
Agents monitor budgets, schedules, field evidence, and contracts continuously, so variance and slippage surface early instead of at the next monthly reporting cycle.
03
Decisions in hours, not weeks
When the answer is ready the same day, a problem gets addressed before it compounds into a change order, a claim, or a delay that moves the whole schedule.
04
Capital you can defend
Fewer surprises and a traceable record mean steadier returns and more confidence from the lenders and investors whose capital is exposed.
Tell us how you work. We'll build the AI around it.
No pitch deck. A conversation about your workflows, your data, and where embedded AI would save your team real time.
Start a conversation