Builds itself.Cold-call agent.
Most cold-call tools help you call more. Deals Machine helps your whole team call better, because it learns from every call, meeting, and doc you feed it.
Describe your customer in one sentence. The agent sources sharper leads from real-world signals, writes a script for each one, coaches you live on the call, and banks every insight so the next call is better than the last.
Cold-call sales is broken in three places.
Setup is the moat.
Spinning up a new vertical takes weeks. ICP research, signal hunting, expert framing, script writing, all before you ever dial the first number.
The script goes stale by Tuesday.
Reps write playbooks on Monday. The objections heard on Wednesday never make it back into the script. The next caller starts from zero.
The call itself is solo.
Reps wing it live. No real-time feedback. No memory of what landed for someone exactly like this prospect last quarter.
And the knowledge that would fix all three, your calls, meetings, and decks, leaks out the bottom. Nobody’s capturing it.
One paragraph in.A self-improving engine out.
Five steps. The fifth closes back to the first. That loop is the moat.
- 01
Build a vertical
Describe what you sell and who you sell to. The agent drafts the ICP, picks the signal sources, writes the voice, and pushes back on its own output: regulatory risks, title lists that skew wrong, coverage holes.
Vertical previewOps automation · Mid-market logisticsslug · ops-automation-logistics-usHead of OpsCOO50-500 empUnited States5 sourcesAgent considerationAccounts over 500 employees usually have in-house ops engineering, recommending the size cap hold at 500 to avoid build-vs-buy stalls. - 02
Source signals + leads
Scrapes RSS, Reddit, Hacker News, and live web search. Scores events for buyer urgency, builds consequence chains, pulls contacts from Apollo. Each lead tagged with the signal that surfaced it.
Live signal feedstreaming- Hiringchevron_rightPosted 3 ops coordinator roles this weekLinkedIn · 4h ago
- Fundingchevron_rightSeries A · $12M to scale operationsTechCrunch · 1d ago
- Toolingchevron_right9 SaaS tools live, no integration layerBuiltWith · 2d ago
- Hiring
- 03
Compose a playbook
Five opener variants, each keyed to a real signal like a funding round, a hiring spree, a competitor moving. Angles, an objection cheat-sheet, voicemail. The playbook auto-regenerates as the brain learns.
Playbook · openersHiring spree“Saw you're hiring three ops coordinators, usually that means the manual work is scaling faster than headcount can keep up. Where's most of that time going right now?”Funding round“Saw the Series A. Most teams that raise to scale ops hit a wall where the tooling can't keep up with volume. Is that starting to bite yet?”Tool sprawl“Noticed you're running a big stack with no integration layer, which usually means people are the glue between tools. How many hours a week is that costing you?”+ objection cheat-sheet · voicemail · close cues - 04
Coach the call live
Twilio rings your cell first. That's how people who call all day actually work. Speechmatics transcribes in real time. Claude Haiku 4.5 drops coaching cards into the cockpit every few seconds.
Live · Coach02:14“We don’t really have budget for another tool right now…”Coach · reframeAsk: “Is the budget the blocker, or the timing of when you’d see ROI? Most teams your size find one offsets the other in Q1.” - 05
Learn → regenerate
Tag the outcome, and the brain entries that fed the playbook get their weights bumped (60-day half-life). Thirty seconds later the playbook regenerates. The next call uses a better script.
Brain · weights updatedhistory30s after hang-upHours-saved reframe+22Hiring-signal opener+23Cost-cutting angle−22Playbook regenerates · 60-day half-life · per-section credit
You see the card before the prospect finishes the sentence.
Twilio rings your cell first, because that's how people who cold-call all day actually work. While you talk, Speechmatics transcribes the call live and Claude Haiku 4.5 drops coaching cards into your cockpit every few seconds.
Audio path mulaw / 8 kHz · auth via on-demand JWT · cards delivered through Supabase Realtime in under 2s end-to-end.
Every call rewrites the next call.
Other AI sales tools are still tools you have to drive. Deals Machine drives itself. The brain credits the right rows: what landed gets weighted up, what flopped drops out. Thirty seconds after you hang up, the playbook has rewritten itself.
turnaround.
60-day half-life. What worked yesterday outweighs what worked last quarter.
Every playbook section knows which brain entries fed it. Outcomes credit the right rows.
When the same outcome gets described different ways over time, the system still lines them up, so the loop never breaks on a stray phrase or typo.
Five on-ramps. One brain.
No rip-and-replace. Plug in what you already have. The brain does the rest. All five paths converge on one ingestion → extraction pipeline: stored encrypted, read by AI, turned into durable, reusable knowledge, not a transcript you’ll never reopen.
Three brains. One firewall.
An Outcome brain (what works), a Market brain (what's true about the vertical), and a per-rep Coaching brain (all shared, all kept PII-free) split from the per-deal memory where prospect data is quarantined. A proprietary data asset a generic GPT wrapper can't replicate.
PII firewall
Prospect data is quarantined to per-deal private memory. The shared brains capture the pattern, never the person. Verified pii_hits = 0.
Prompt-injection screened
A standalone screen (regex + a Haiku classifier) guards the extraction path before anything reaches the brain.
EU-hosted, GDPR-ready
Data export and guarded account deletion are built in. Compliant-by-design is the wedge, not a footnote.
A new rep inherits the team's entire playbook on day one.
Multi-tenant by design: organizations, roles, one-click invites, fully data-isolated per org. The team's collected market knowledge powers every new rep's first call, so ramp time collapses.
Learn morearrow_forwardSells in five languages, and listens in them too.
Per-user interface language (EN · DE · FR · ES · IT), transcription in the rep's language, and AI output in-language for scripts, coaching, and follow-ups. Most tools only translate the UI.
Learn morearrow_forwardStop calling more. Start calling better.
Describe your customer in one sentence. The agent sources the leads, writes the playbook, coaches you live, and gets sharper with every call.