Building Value Preservation Services, Inc.
Super Intelligence for building value preservation.
BVP SI brings experienced building value preservation operators together with domain experts, engineers, software, AI and operating data to create capabilities individual companies cannot reasonably build alone.
- Experienced operators
- Domain expertise
- Engineering
- Software + AI
- Operating data

The Sector
A large physical-world industry hiding in plain sight.
Building value preservation is the recurring work required to protect the value, function, safety, usability and reputation of existing professionally managed buildings.
The Work
Maintain, repair, restore and protect existing buildings.
Exterior and interior restoration, waterproofing, inspection, maintenance, emergency response, access, protection, documentation and recurring capital work.
The Buildings
Professionally managed assets.
Multifamily, commercial, institutional, healthcare, education, hospitality and other managed properties.
The Pattern
The job ends. The building does not.
Conditions recur. Maintenance continues. History matters.
The Problem
The sector is rich in experience, evidence and judgment. Its systems are not organized to take full advantage of it.
01
Knowledge lives in people.
Experienced operators, tradespeople and managers accumulate decades of judgment that remains difficult to capture, share and reuse.
02
The operating record is fragmented.
Photos, estimates, schedules, inspections, messages, documents, software and human memory each contain only part of the story.
03
The next generation of capability is difficult to build alone.
Useful AI requires operating context, software, data, permissions, evaluation, implementation and continuous work inside real operating environments.
How BVP SI Builds It
Human expertise and machine capability working inside the same operating context.
Participating companies bring real operating environments, experience, judgment and evidence. BVP SI combines that domain knowledge with engineering, software, AI and implementation capability.
Discover
Find valuable operating problems inside real companies.
Capture
Learn from experienced people, evidence and repeated work.
Connect
Organize the context needed to understand a decision.
Build
Create software, agents and intelligent machinery.
Deploy
Put the machinery into actual operating workflows.
Evaluate
Measure outcomes and improve the system continuously.
The People
Super Intelligence for a physical-world industry requires an unusual mix of people.
Technical Fluency
Build the machinery.
Software, data, AI, agents, integration, evaluation, security and reliability.
Understanding People + Work
Listen before changing.
Ask useful questions, explain difficult ideas clearly and earn the trust of people who have spent decades mastering their work.
Domain Expertise
Understand the physical world.
Buildings, restoration, operations, estimating, safety, logistics, scheduling, procurement, finance and field work.
The Partner Model
Scale without selling first.
Participating operators keep the companies they built while gaining shared capabilities that are difficult to build alone.
Keep
The company you built.
Identity, customers, employees, local market, raw company data and operating autonomy.
Gain
Shared capability + leverage.
Software, AI-assisted workflows, engineering, data infrastructure and purchasing leverage.
Participate
Help shape and own what comes next.
Participant partners contribute real operating environments, expertise and evidence and can participate in BVP SI ownership.
From Existing Work to BVP SI
Swivu is where much of this work started.
Swivu is operating software built against real building value preservation workflows. Developing it gave us direct exposure to the people, decisions, evidence, coordination problems and operating conditions that BVP SI is now organizing around.
What Happens Next
The company around that foundation is now being assembled.
Participant Partners
Serious building value preservation operators willing to help shape, test and use the machinery.
People
The technical, operational and interdisciplinary talent required to build and deploy it.
Capital
The resources required to develop, deploy and scale the capability.