Industrial AI, built in Houston

Your best people carry decades of know‑how in their heads. We put it to work for everyone.

Junipix builds AI agents that learn your quotes, your jobs, your systems, and your policies. Your team makes faster decisions, protects margin, and stops depending on the one person who knows everything.

Tell us a bit about your operation and we'll reach out to set up a time. Or read our plain answers on cost, security, and what AI can't do.

The problem

Running a $20–$300M operation shouldn't feel like guesswork.

If any of these sound familiar, you're exactly who we built Junipix for. If none of them do, congratulations, you run a tighter shop than most, and we'd honestly like to see it.

Margin surprises after the job closes

You won the work and the shop delivered, but the numbers still came in under. Nobody can say exactly why, so it happens again next quarter.

Quotes take days, not hours

Estimating lives in spreadsheets, disconnected systems, and institutional knowledge that was never written down. Every quote gets rebuilt from scratch, and the backlog costs you bids.

Knowledge walking out the door

Your most experienced people are retiring or getting pulled in ten directions. When they're out, decisions stall or get made wrong.

Regulations answered by guesswork

OSHA, DOT, PHMSA, FAA, FERC, FDA. Your operations people need one clear answer, and the right answer usually lives in two places: the regulation and your own policies. We combine both, so the answer they get is the one that actually applies at your company.

Why Junipix

A guide that's been on the shop floor, not just in the demo.

We're operators and engineers, not an AI hype shop. Junipix deploys working systems inside real industrial companies: quoting platforms that estimators defend in quote reviews, and agents that answer operational questions with the exact citation. We tell you where AI won't pay off just as plainly as where it will.

  • Deployed in production at industrial operating companies today
  • Your documents lead. A regulatory library covering OSHA, DOT, PHMSA, FAA, FERC, FSMA and more backs them up.
  • Enterprise security: private network, database-level isolation, full audit logging
  • Your data stays yours. It never trains public models.
A supervisor asks
"What's the minimum burial depth for a gas pipeline in a Class 2 location, and does our company standard require more?"
Junipix answers
"Per 49 CFR § 192.327(b), minimum cover is 36 inches in normal soil. Your Company Standard P-104 requires 42 inches. The stricter requirement controls: follow P-104."
✓ Sources: 49 CFR § 192.327 · Company Standard P-104, §3.2
The plan

Three steps. The first one costs $2,500 and takes a day.

1

The AI Operations Audit

We spend a day inside your systems and workflow, then hand you a detailed written assessment: the places AI would deliver measurable return, ranked by payoff, and the ones that don't fit yet. Then we walk you through it, one on one.

2

Land a quick win

We build the highest-return item first. Typically a 6 to 8 week pilot on your own data, with a success metric agreed up front. Prove it, measure it, and let it fund the next step.

3

Scale what works

Production rollout, adjacent use cases, or a retainer where we run your AI roadmap. Every step earns the next one. You're never locked into a big-bang program.

What we do

Four ways to work with Junipix.

Fixed price · $2,500

AI Operations Audit

One day on site. A ranked, tiered roadmap of where AI pays off in your business, quick wins first. The written report is yours to keep either way, and we review it with you one on one.

17 agents and growing

Pre-Built Agent Deployments

Proven agents for quoting, margin, procurement, logistics, safety, and compliance. Configured to your data and workflow instead of built from scratch.

Custom build

Custom AI Implementations

Purpose-built systems from your unique specs. Quoting intelligence, production analysis, knowledge capture. Deployed on your data with a measurable success metric.

Limited availability

AI Owner's Representative

Getting your AI from someone else? We sit on your side of the table: proposal reviews, troubled-project rescues, and vendor oversight against the same checklist we audit with.

How our answers work

Your documents lead. The regulations back them up.

The most useful answers in your company come from your own procedures, policies, contracts, and job history. That's where Junipix agents start. We supplement them with a regulatory library covering OSHA, DOT, PHMSA, FAA, FERC, FSMA, EPA and related domains, so your people get:

  • One controlling answer. When your policy and the regulation overlap, the agent returns the stricter requirement, with both citations.
  • Gap checks. Your manuals mapped against the regulations that govern them, with the gaps and silences flagged for review.
  • Plain English, with next steps. Who it applies to, where, when, and what to do about it.

Every answer traces to its source: a policy paragraph, a regulation section, or an operational record. It holds up in an audit, not just in a demo. And where the system isn't confident, it says so and routes the question to a person instead of guessing.

See how it works

Every quarter this waits, the same margin leaks and the same knowledge walks.

The companies that win the next decade in industrial work are capturing their expertise now, while the people who hold it are still in the building. The audit tells you exactly where to start, for the price of a set of tires. And if you'd rather just talk first, the first 30 minutes are on us.

They ask, we answer

The questions buyers actually ask us.

We answer the awkward ones in plain English: cost, limitations, security, and when not to hire us.

Audits are $2,500 fixed. Quick-win pilots typically run $10,000 to $40,000. Larger core systems run $25,000 to $100,000, and multi-quarter strategic programs $150,000 to $300,000+ per year. Full breakdown here.

Yes, in writing. Every audit report includes a section titled "What we did not recommend, and why." Roughly a third of the use cases companies bring us don't pencil out yet, and we say so.

Your data stays in a fenced-off private environment with database-level isolation and full audit logging, and it never trains public models. Details here.

Of course we did. We sell AI. Building this site by hand would be like a bakery buying its bread at the grocery store. The full confession is here.