Built for Complex, High-Value Sales

Helping ambitious companies leverage AI to drive sales

An AI signaling engine that watches your target accounts 24/7 for the events that create a timely reason to reach out — plus the hands-on expertise to make it fit how you sell.

Trusted by
DiligentPatientPartnerNXTERADr. Schulze's

Signals worth selling on

In complex, high-value sales, every message has to be earned.

We encode your niche signals, company knowledge, and network, then watch your accounts, and the market around them, for the reason to reach out.

Your team sells.

Why revenue teams
choose IntelligentNoise.

Signal, not noise

Most AI sales tools add noise — junk alerts, generic intent data, spray-and-pray sequences that burn a finite market. IntelligentNoise is the opposite: an intelligence layer that pulls the signal out of the noise — the account with a timely reason to engage, the person who owns the decision, the warm path in — so your team spends its time selling, not sifting.

Your accounts, and the ones you haven't found yet

We watch your target accounts continuously for the events that create a reason to reach out — and run the same signals across the market to surface high-fit companies that were never on your list. Both are tuned to your business, not pulled from a generic list, and the picture of every account gets richer over time.

The right person, the warm way in

For every signal account we find the people who own the decision, run your team's network against them to uncover a warm introduction, and draft the outreach from that account's history and circumstances — in your voice, ready to approve.

Built with you, not bought off the shelf

Every revenue org runs differently. We encode your ICP, stakeholder maps, and signal preferences with you in the first weeks, then keep tuning as real deals run through it. Technology plus the hands-on expertise to make it fit your motion — that is how the system gets sharper with real work.

Inside the workflow you already run

No new tab. No new habit. Signals land in Salesforce or HubSpot, drafts go out from the rep's own Gmail or Outlook, and every touch is logged back. The intelligence comes to your team where they already work, not the other way around.

Your signal engine, running in the background, 24/7.

Explore Platform
Currently in spotlight: Target-account watch. Your named accounts, watched continuously — the moment one shows a signal you care about, it surfaces with the why-now, the sources, and who to reach.

Helping ambitious teams turn real signals into real pipeline.

Days, on average, to a first meeting booked

<30

Hours of research saved per rep, every month

40+

More replies on signal-driven outreach than cold

68%

Higher conversion when multi‑threading the deal

2x

Built to remember.
Built to be trusted.

The foundation under the signal engine — context that compounds, and an architecture built for enterprise trust.

Memory that compounds

Every won deal, refined playbook, and corrected draft makes the next run sharper. Your team's ICP, objection answers, and won-deal patterns stack into a moat that grows with every run.

Sounds like your reps

IN learns each rep's writing style, deal cadence, and account history — so every draft sounds like the rep who'll send it, not a template.

Your data stays yours

Memory and context are isolated per tenant — your accounts, playbooks, and conversations never pool with another org's data. We never train models on your tenant, and everything you put in is yours to export, anytime.

Human-in-the-loop

IN proposes the action — your team approves it. Every send, every record update, every memory change can be gated. No “oops, the AI sent that.”

Audit-ready end-to-end

Who ran it, what tools it touched, who approved, what changed. Every IN action is recorded end-to-end — ready whenever your security, IT, or compliance teams want a look.

Discover What IntelligentNoise
Can Do For You

Learn More

Backed by industry-leading investors and advisors

Zell Lurie InstituteDesai AcceleratorUniversity of Michigan