# Stibnite

> Stibnite builds Keystone, a company's AI-native acquisition engine, on its own first-party data. The engine learns exactly who pays the company and finds more of those people — so the cost to acquire holds profitable as the company scales, and gets sharper every cycle instead of resetting. Done-for-you: we build it, run it, and hand over the keys.

## What We Do

Stibnite builds AI-native customer-acquisition engines for B2B companies doing $10M+ in revenue. We onboard a client's winners and losses — real customers, real lost deals, and the calls and emails behind them — and model exactly who pays and who doesn't (green vs. red). Then we find everyone in the market who mirrors the winners and put the client's offer in front of them across paid and owned channels. Because we only spend on prospects who look like proven winners, CAC holds profitable as the company scales. The engine is named Keystone, and it is run by a roster of agents — including MarketWriter, the owned-email writer.

## The Problem We Solve

Acquisition gets more expensive the bigger a company gets. The enemy is "activity without memory": companies run acquisition that starts over every cycle, paying full price to learn who pays them, throwing it away, and paying to learn it again. Spending on people who'll never buy ("red") is why CAC climbs as you scale. Doing nothing isn't free — the status quo is the expensive option, and the gap to a competitor whose engine is learning widens every month.

## What We Build (the moat)

- First-party data onboarded into a structured data asset — the client's truth, machine-readable.
- A win/loss model that separates who pays (green) from who never will (red).
- A seed pool of confirmed winners and losers that sharpens the model with every new win.
- A TAM built by running the model across an identity graph of 269,011,873 people and 11M companies.
- SiteVisitor (resolves identity of the client's site traffic) + MarketPulse (surfaces live buying behavior), both filtered against the TAM.
- A Compound Learning Loop: every win drops back into the seed pool, sharpening the model, improving targeting, producing more wins.

The client's data, embeddings, model, and seed pool are theirs — first-party, exportable, isolated. The only thing rented is the match against Stibnite's identity graph plus resolution/intent infrastructure. No data lock-in.

## Programs & Pricing

- [Starter](https://stibnite.co/#programs): From $5K/month plus a one-time build. The full engine activated on the client's own paid channels (Meta, Google, LinkedIn).
- [Full](https://stibnite.co/#programs): Custom pricing — contact us. Adds Stibnite-run owned email with MarketWriter (send volume scales with the client's mailbox fleet and health-gated daily caps) — the dual-channel flywheel.
- Media spend is the client's and billed separately; ad spend is never bundled into the fee.

## The Guarantee

Every qualified Starter or Full engagement is a 90-day pilot against a baseline and win condition set up front (booked calls, funded deals, orders, or a target CAC), with measurement spelled out in the order form before launch. Hit the win, we continue. Miss it, we run one additional 90-day cycle at no extra charge — or the client walks with their data, model, and seed pool and owes nothing further. One remedy per signed pilot. The clock starts at go-live, not signature, and the guarantee holds as long as the client meets the data-access, spend, and approval commitments in the order form.

## Who This Is For

US-based B2B companies doing $10M+ (sweet spot $15M–$75M, 50–400 employees) with a real sales motion (or B2B-ecom order motion) and a paper trail to learn from: roughly 50+ wins and 50+ losses plus the conversations behind them, a defined offer, a CRM to integrate, and leadership ready to act on what the model finds.

## Who This Isn't For

- Pre-revenue or sub-$10M companies still finding product-market fit
- Companies with a handful of deals and no record of the conversations behind them
- Anyone wanting a one-off campaign instead of a compounding asset
- Teams unwilling to let the data move the budget, or pure B2C

## Why Not The Alternatives

- Agencies run activity without memory, optimize clicks, never model who pays, and nothing they build is yours.
- Point tools (Clay, 6sense, Apollo, RB2B, Warmly) sell the parts and hand you an empty box to assemble and maintain.
- In-house build means hiring data/ops talent to do in months what we do in weeks — and starting from zero on the data (a ~$500K AI hire is the benchmark alternative).
- Do nothing: keep spending into rising CAC while the gap to a learning competitor widens.

## Free Tools

- [Assessment](https://stibnite.co/assessment): A free 3-minute assessment of how AI-ready your operating model is — a low-friction way to see where your acquisition stands before a fit call.
- [Identity Graph / Data Platform](https://stibnite.co/data): A natural-language person & company data API.

## Benchmarks (not Stibnite results)

- ~$500K: the going rate for a Chief AI Officer hire — the talent you'd otherwise need.
- ~160 bps EBITDA improvement within 24 months — a transformation benchmark.
- Most AI budgets show no ROI when AI is bolted on instead of built in.

## Early Traction

- 6 live engagements (3 running, 3 onboarding). Named results added as clients consent.

## Founders

- **Matt Newbill** — Co-founder & CEO. First employee at TSheets (acquired by Intuit for $340M); on the early growth team; ~15 years running a growth practice (Newbill Consulting); software-engineering and data background; deep in win/loss modeling, identity data, and email deliverability. LinkedIn: https://www.linkedin.com/in/mattnewbill/
- **Tommy Liantonio** — Co-Founder. In identity-based marketing since 2007; built several identity graphs from the ground up; a founding member of the 5x5 Co-op. Founder of ClickCertain (early real-time-bidding ad platform — tens of billions of daily impressions, run white-label) and LiftCertain (resolved anonymous web traffic into in-market buyers); his technology quietly powered adtech and martech across 2,000+ agencies — the identity-resolution and intent foundation Keystone's SiteVisitor and MarketPulse are built on. LinkedIn: https://www.linkedin.com/in/tommyliantonio/

## Contact

- [Book a fit call](https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ0PfCvTsyvNYMnAJW3wRyFumOm2HNM2lQQxOc5Qn6PT-jSWAehdDZCmplZurJsFLdzu7QxVqm7q)
- [Contact Form](https://stibnite.co/#contact)
- Email: matt@stibnite.co