The People Behind the Machinery
Super Intelligence for a physical-world industry requires an unusual mix of people.
BVP SI is assembling people who can work across software, AI, buildings, business operations and the practical realities of how companies actually run. The team is operating, technical and interdisciplinary by design.
On this page
The Mix
Different kinds of intelligence belong in the same room.
See the mixThe Standard
People experienced operators will want in the room.
See who you will work withThe Work
Discover, capture, understand, build, deploy and improve.
See the workWho May Fit
The best people may come from very different backgrounds.
See who may fitDifferent Kinds of Intelligence
Technical Fluency
Build dependable machinery.
Software architecture, programming, data, APIs, AI models, agents, information retrieval, evaluation, security, observability and systems reliability.
Understanding People + Work
Understand how work really gets done.
Listen well, ask useful questions, understand incentives and resistance, explain difficult ideas clearly, and earn the trust of people who have spent decades mastering their work.
Domain Expertise
Understand the physical world.
Building systems, restoration, construction methods, property operations, estimating, safety, logistics, scheduling, procurement, finance and field operations.
Useful backgrounds can come from business, operations, engineering, software, research, writing, teaching, economics, psychology, history, the trades and other fields that help people understand how organizations make decisions, communicate, learn and get work done.
The People You Will Be Working With
BVP SI should be the kind of organization an experienced operator wants in the room.
The people doing this work need to be comfortable in an office, a warehouse, on a jobsite, in a truck, or sitting across the table from someone who has spent forty years building a company.
Listen First
Curious without being arrogant.
Learn why the work is done the way it is before proposing how to change it.
Be Useful
Technically strong. Grounded in the work.
Comfortable with imperfect information, real constraints and doing the unglamorous work required to make something function.
Follow Through
Dependable after the demonstration.
Care whether the machinery actually improves the company and stay with the problem long enough to make it work.
Respect Expertise
Decades of practical judgment matter.
Valuable knowledge often lives in people who never wrote it down, never turned it into a process map and may not use the vocabulary of software or AI.
Protect Trust
Treat access as something earned.
Protect information entrusted to the team, disagree without becoming difficult, admit uncertainty and understand how quickly trust can be lost.
- Curiosity
- Investigative instinct
- Intellectual humility
- Practical imagination
- Adaptability
- Ownership
- Collaboration
- Respect for accumulated expertise
The Work to Be Done
The work spans more than software development.
These are overlapping responsibilities, not ten separate jobs. A small number of versatile people can cover several areas, working closely with experienced participant partners.
Discover Opportunities
Find problems worth solving.
Observe real operations, interview people, study workflows, test assumptions and identify expensive problems or coordination failures existing technology has not solved well.
Mine Human Knowledge
Capture expertise before it disappears into the work.
Observe experts, record demonstrations, examine decisions and exceptions, and turn judgment, timing, routines and situational awareness into knowledge intelligent systems can use.
Understand Intent + Engineer Context
Know what the organization is trying to accomplish.
Map goals, priorities, constraints, authority and exceptions, then connect the schedules, budgets, drawings, conditions, people, equipment and history needed for a good decision.
Build + Deploy
Turn understanding into working machinery.
Create software, agents, integrations and interfaces, then work directly with participant companies to prototype, implement, troubleshoot and improve them in real operating environments.
Evaluate + Maintain Reliability
Judge the quality of the decisions, not just whether a task completed.
Test unusual conditions, measure outcomes, investigate failures, monitor systems, maintain safeguards and make sure humans can step in when necessary.
Protect Knowledge + Help Organizations Adapt
Preserve what is valuable and make the change stick.
Protect company knowledge and intellectual property while helping managers and employees change workflows, build trust, learn new tools and turn technical capability into better operations.
Discover the opportunity → capture the knowledge → understand the intent → engineer the context → build and deploy → evaluate and improve.
Who May Fit
Many of the capabilities required barely have established job titles.
Some people will arrive through software or AI. Others will come through operating companies, the trades, engineering, research, business, teaching, quality, safety or security. The strongest combinations may not look like a conventional technology team.
- Software + AI engineers
- Technical founders
- Operators
- Tradespeople
- Business problem-solvers
- Researchers
- Teachers + communicators
- Quality + safety people
- Security + reliability people
- Investigative generalists
The common requirement is an interest in understanding difficult real-world problems deeply enough to make new machinery genuinely useful.