It turns your tools and everything your company knows into one brain your team can just ask. We build and run it, so you get answers, not another tool to manage.
Now onboarding a small number of founding clients for 2026.
The real problem
How you quote a job, why a customer churned, the workaround only Dave knows: it lives in people's heads and buried inboxes. The day someone's slammed or quits, it walks out the door.
The fix isn't another app to log into. It's making everything your business already knows answerable in one place. Not a dashboard you have to check, but a brain that's already watching.
What we do
AI projects rarely fail on the technology. They fail because nobody owns the whole path: from idea to production to the daily grind of running it. We own all three.
01: STRATEGY
We assess how your business really runs, then pinpoint the handful of use cases where AI moves revenue, cost, or speed, and ignore the hype that doesn't.
02: BUILD
We build the AI agents and workflows that do real work, wired into the tools you already use: your CRM, inbox, docs, and back office.
03: RUN
We host it, monitor it, secure it, and keep improving it. You get outcomes on a subscription: no internal AI team to hire, no maintenance headaches.
Most AI work stalls in strategy, dies before production, or quietly underdelivers. We own all three steps (strategy, build, and run) so yours actually ships and pays off.
How it works
No big migration, no rip-and-replace. We connect to the apps you already use, turn what's there into one brain, then build the automations that brain makes possible, and run them for you.
We securely connect to the apps you already use, read-only to start. Nothing moves or gets migrated; cloud or on-prem is your call. Usually an afternoon, not an IT project.
It learns from your docs, emails, and systems into one place your team can ask. You're not dumping data anywhere; we connect, it learns, and your data stays yours.
Our team reviews how your business actually runs and shows you the few tasks worth automating (with the ROI) before we build anything.
We build the automations on top of that brain (so they actually know your business) then wire them into your tools and run them for you. Your apps stay; we just add a smart layer on top.
Use cases
Six jobs, one brain. It already knows your customers, your process, and your tone, so what it does actually makes sense.
Click any job to watch the brain do it. They all run on the same brain.
Order #4471: 12 Aeron mesh task chairs for the Gunderson job.
Want me to split the shipment and get the 8 in-stock chairs out today?
3 quotes have gone quiet for 7+ days:
I've drafted a tailored follow-up for each. Say the word and they send, CRM updated.
5 of 6 are invoiced and sent.
Approve it and I'll send it, then reconcile against the 30% deposit already on file.
Straight from the 2024 Sales SOP (last updated August):
Want the exact clause pasted, or should I draft the reply to the customer for you?
February vs. January, a solid month:
The dip is all refurb pricing. Want the by-client breakdown, or a fix for the quote template?
2 issues today, both already handled:
Posted the summary to #ops and tagged the two PMs. Nothing needed from you.
What you actually get
AI models got good fast; what they lack is your business: your customers, your pricing, how things actually get done. The brain is that missing piece: not a search box or a chatbot over your files, but a living map of how your company works: how you quote a job, how a refund's handled, who signs off on an exception. Ask it in plain language or browse it like a wiki. That's the layer that lets AI do real work, and we build it on your data and run it for you.
Your own private instance: cloud or on-prem, your call, never a shared pool. It's never dumped into some AI vendor's index. Leave whenever you want: one button exports everything and wipes our copy.
Built from the ground up so each person only sees what they're entitled to, the AI included. Permissions come first, not as an afterthought.
Ask why it gave an answer and it points back to the exact sources, and what changed, and when. No black box.
We use the best model for each job (Claude, GPT, open-source) and switch as the field moves, so you're never locked in.
Testimonials
From the warehouse floor to the corner office, when everyone can just ask, the chasing stops.
I used to burn half my morning chasing project managers for the latest order specs. Now I just ask: it's right there, current, every time. No more guessing, no more rework.
Getting updates on approved quotes used to mean pinging the CFO and digging through Excel files that were already a version behind. Now it's automated and always up to date; I got my afternoons back.
I wake up and wind down knowing exactly how the day went and what's on for tomorrow. I can make the call and brief the team before a mistake is ever made. Honestly, I've never slept so well.
Eco Office, Northern California's #1 office furniture provider
The math
Rough out what one brain could be worth to your team. Your assumptions, your number: a starting point for the conversation, not a quote.
about $0 / month
Your assumptions, not a quote. A starting point for the conversation. Most engagements aim to pay for themselves within the first quarter.
How to start
Start with a low-risk pilot, then move to a fully managed engagement once the ROI is proven. We're taking a few founding clients in 2026: hands-on attention, founding pricing.
$2,500covers our time · 1–2 weeks · no commitment
$7,500 setupthen $750/mo · founding rate, locked in
Scoped per workflowcustom build · runs inside your monthly
You just saw what it's worth. This is what it costs to capture it.
Why Nocula
We grew Syncromatics from a dorm room to $25M in sales and sold it to GMV in 2018. We still operate it today, and its Intelligent Transportation Systems division now eclipses $100M globally. So we build AI that respects how a business really works, and we stay on the hook to keep it running, effectively your fractional AI officer.
That's why the fix isn't another app to log into: it's making everything your business already knows answerable in one place, so the company remembers, answers its own questions, and flags problems while you can still fix them.
"The AI isn't the hard part. Keeping it useful a year from now is, and that's the part we don't hand back to you."
Ian Sephton, Co-Founder
"We've met payroll and chased receivables, so we don't build AI demos. We build the kind that shows up in the P&L."
Josh Bigelow, Co-Founder
Questions
We connect it to the tools you already use, and it learns the facts, decisions, and know-how buried in them into one place. Your team asks it in plain language or browses it like a wiki, and it can run routine work for you, AutoMagically. We build, host, and keep it current; you just use it.
No. That's the entire point of "as a service." We handle strategy, building, hosting, and maintenance. Your team uses the results; they don't have to manage the technology.
Owner-run small companies (roughly 5 to 30 people, $1M–$15M in revenue) with years of knowledge trapped in inboxes, spreadsheets, and people's heads. If you're not big enough for an internal AI team but want the upside anyway, that's exactly who we built this for.
Almost certainly. We connect to the common ones (Slack, Gmail and Outlook, Google Drive, Notion, calendars, QuickBooks, HubSpot and the like) and we can add others as part of the build. Your data stays in those tools; we sit on top, we don't replace them.
It depends on the scope. You can start getting value within a couple of hours of connecting your tools, but most projects take one to two weeks to properly launch.
We agree on what success looks like before we build (hours saved, faster responses, fewer dropped balls, revenue touched) and report against it. If a use case isn't earning its keep, we change it or kill it. You shouldn't be guessing whether it's worth the spend.
Yes. It lives in your own private instance (cloud or on-prem, your choice, never a shared pool) and it's never used to train shared models. Access is controlled, every action is logged, and there are clear limits on what the AI can read or do.
Access is built in from the start, not bolted on. Each person only sees what they're entitled to, and the AI is held to the same rules, so it never surfaces something to someone who shouldn't see it. You decide who can access what, by role or person.
It updates AutoMagically as your business runs, so it reflects what's true now, not a snapshot from setup day. When facts change, it supersedes the old ones and shows what changed and when, with links back to the source.
You own it, full stop. Your source data already lives in your own tools; we're a layer on top. Leave anytime: one button exports everything we've built and permanently deletes our copy. No lock-in.
ChatGPT doesn't know your business or who's allowed to see what, and it forgets. Building your own means hiring, tooling, and upkeep most small companies don't want. Nocula is the in-between: a brain that knows your company, with access controls and maintenance handled, delivered as a service.
Because early is the advantage, and we've built this before. At Syncromatics, our last company, we turned live data from thousands of transit vehicles into one system agencies could ask and act on in real time. It's now GMV's flagship product, SYNC. Nocula is that same brain, built for your business. Founding clients get senior, hands-on attention, a system shaped around their business, and founding pricing, from operators who've built and sold companies. We only take a few at a time so we can do it properly.
We're model-agnostic. We pick the best model for each job (Claude, GPT, or open-source) and we're free to switch as the technology improves, so you're never locked in.
Our founding pricing is upfront. It starts with a $2,500 AI Assessment (1 to 2 weeks, no commitment), and $2,000 of that is credited toward your Brain if you move forward. The Company Brain is then $7,500 to set up and $750/mo at the founding rate. Custom workflows are scoped and priced per workflow and run inside that same monthly. You only scale spend once the ROI is proven.
Glad you asked: yes, we made a theme song. 🎵
Get started
Tell us a bit about your business and where the time goes. We'll come back with the one or two places AI is most likely to pay off: no jargon, no pressure.