Your lead estimator
gives notice.
Where does 10 years
of knowledge go?
Company Brain is a private AI knowledge system built from the documents your company already has — quotes, job notes, emails, SOPs, and vendor files.
No behavior change required. It reads what's already there and makes it queryable. When a key person leaves, the knowledge stays.
High-touch setup. Built for teams that already have too much context trapped in too many places.
Typical Week
The owner is still the system.
Your lead estimator gives notice. Half your pricing logic is in his head.
Your estimator asks if a quote was already sent to this client.
Your PM asks what got promised on a job from last spring.
Everyone asks you — because you're still the system.
As long as you're the system, you're also the ceiling. Every new hire and every expansion adds to the load.
Your company
already knows
the answer.
Ten years of knowledge is sitting in your sent folder, quote files, and job notes right now. Nobody can find it fast enough to use it — so they ask the person who already knows. Company Brain reads everything that's already there and returns answers with citations back to the source.
What it reads
The more you add, the sharper it gets. Knowledge compounds instead of walking out when someone leaves.
Every other solution
asks you to change first.
The tools already exist. The problem is they all require someone to start putting things in before they return anything useful. Company Brain starts with what's already there.
| Solution | Behavior change first? | Works on existing mess? | Conversationally queryable? |
|---|---|---|---|
Shared drive / Notion / wiki Someone has to write it first | Required | No | No |
Jobber / ServiceTitan Data entry required; job records only | Required | Partially | No |
Hire SOP consultant Major project; output still isn't queryable | Required | No | No |
Generic AI (ChatGPT, etc.) Paste context each session; no persistent memory | Required | No | No |
Company Brain Ingests what's already there | Not required | Yes | Yes — with citations |
Ready in weeks.
Built around how
you actually work.
Not a login we throw over the fence. The first version is scoped around real questions, connected to real sources, and tuned with the people who need it most.
Where we start
“What happens if your lead estimator leaves tomorrow? We start there — build his vault while he's still here, feed it with 5 years of quotes and emails, capture what's only in his head. Highest-risk gap first. Then expand.”
Map the knowledge mess
We find where answers live now — inboxes, folders, estimates, notes, vendor docs, and the owner's memory.
Build the first version
We structure a private Company Brain around the internal questions that cause real drag, not around generic AI demos.
Train and tune
We pressure-test it with real team questions, improve weak spots, and make it something people actually use.
Built for the company
with years of context
and nowhere to put it.
Tenure plus accumulated chaos — not just headcount. A 2-year startup doesn't have this problem. A 14-year GC with 3 PMs and 10 subs does.
See If You Fit5–25 person HVAC, plumbing, electrical, roofing, GC, or similar service team
In business 8+ years with context accumulated across hundreds of jobs
Owner still answers routine operational questions most days
Knowledge spread across email, notes, drives, and job folders — never formalized
Your documents
aren't for training
someone else's AI.
Most AI tools are consumer products. Uploading your quotes, contracts, and job history to them carries real risks that most business owners don't read the fine print on.
Your data may train the model.
Consumer AI tools — ChatGPT, Claude.ai free and paid plans — can use your inputs to improve future versions of the model. Your pricing, customer details, and internal processes become part of the training set.
Retention isn't guaranteed.
Consumer products have no committed deletion timeline. Your documents sit on third-party servers indefinitely unless you manually request removal — and even then it isn't always clean.
"Private" doesn't mean no one sees it.
AI providers reserve the right to review conversations for safety and trust purposes. Sensitive contracts, proformas, or personnel notes have no privilege protections once uploaded.
Air-Gapped
Nothing leaves your building.
The AI model runs entirely on your hardware using open-source models. No data ever touches an external server. Best fit for regulated industries or highly sensitive documents.
Tradeoff: lower model quality than cloud AI.
API — Secure by Design
Commercial-grade. Not the consumer chatbot.
We use Claude's commercial API — a contractually different product from Claude.ai. By default: your data is never used to train the model, retained for 7 days only, then deleted. No opting in required.
Best quality. Contractually clean. This is what we recommend for most clients.
Hybrid
Docs local. Queries go out, not documents.
Your source documents stay on your machine or internal network. When someone asks a question, only the question and the matched excerpt — not the full file — are sent to the API.
Best of both: local control with full model quality.
Your team is still
calling the owner.
Let's fix that.
We map the knowledge mess, build the first usable version, and tune it until the team asks the system before they ask you.
Book a Setup Call