Real estate leads go cold in minutes—Rivet Gun calls instantly.

Launch Your First Campaign

Pricing line:
‍$0.30 per call + 3 Day Trial

‍Promotion Code: nail-it
$100/month free credit for your first 6 months.

Steps:
‍1. Pick a stream/playbook
2. Import contacts (CSV)
3. Launch humanoids
4. Review summaries + scores
5. Follow up and close

Free Trial

The Problem

Agents lose deals because:
‍
Leads come in after hours, during showings, or while driving

Follow-up is inconsistent and manual

Calendar slots fill with low-intent tire-kickers

CRM updates happen after the fact (if at all)
‍

Result: slower response → lower show rate → fewer signed clients → lost commissions.

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What Rivet Gun Does

Instant Response:
call new leads immediately (speed-to-lead).

‍Structured Qualification:
guardrailed probing to capture intent, timeline, financing status, needs, and objections.

‍Appointment Booking:
book a consult/showing when consent is given.

‍CRM Logging:
every call updates the contact record (summary, disposition, score, next step).

‍Persistence:
19-touch cadence protects the appointment and rescues missed connections.

01 Real Estate: Buyer intake & showing requests

Rivet Gun calls buyer leads instantly, confirms what they’re looking for, and runs structured pre-qualification before booking a showing or consult.
‍

02 Real Estate: Seller intake (agent listing leads)

Rivet Gun qualifies seller leads coming through your ads, landing pages, or referrals by capturing motivation, timeline, property basics, and decision readiness—then books a listing consultation and runs follow-up to protect the appointment.

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03 Real Estate: FSBO seller intake (For Sale By Owner)

Rivet Gun handles FSBO leads differently because the goal is to uncover pain, timing, and openness to representation without sounding pushy. It probes for why they chose FSBO, what’s working/not working, timeline pressure.

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04 Real Estate: Open house follow-up

Rivet Gun follows up the same day, captures what the visitor liked/disliked, qualifies intent, and schedules the next showing or consult—then protects the appointment with reminders and frictionless rescheduling.

05 Real Estate: Reception / inbound call answering

Rivet Gun acts as an always-on receptionist that answers inbound calls, collects the details that matter, routes the caller correctly, and books appointments when appropriate—without dropping calls after hours.

Smart Target Accomplishment

You have 1,000 contacts
and need 19 touches this month.
‍
That’s 19,000 touches total.
‍
One humanoid can do up to ~2,880 calls/month (96/day × 30).
‍
So you scale to ~7 humanoids
to finish on time.
‍
Then scale down when the list warms.

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Team

Atif Abdullah ben-Yosef Al-Siddiqi

Founder/AI

AI scientist and founder building Rivet Gun’s voice + LLM “system of action,” including guardrailed DAG playbooks, CRM intelligence, and scalable infrastructure.

Education:
B.A.Sc. Civil Engineering (Oklahoma State University);

Pursuing
M.S. Artificial Intelligence (Udacity)
M.A. Intelligence Studies (American Military University).

Madiha T Patek

Co-Founder/Operations

Operations lead responsible for execution cadence, onboarding, support processes, and turning product + GTM into repeatable operations.

Education:
Ed.D. Educational Administration;
M.Ed. Educational Leadership;
B.S. Education

Sara Getnet

Frontend

Frontend lead building the customer dashboard, contact intelligence views, history, reporting, and day-to-day workflow UI.

Education:
B.Sc. Computer Science (Adama Science and Technology University).

Michael Castillo

Backend

Backend engineer responsible for core APIs, lead ingestion, campaign state management, CRM/calendar integrations, and logging/attribution pipelines.

Education:
M.S. Computer Science (California State University, Fullerton);
B.S. Software Engineering (California State University, San Bernardino).

Faizan Rafiq

DevOps / Infrastructure

Infrastructure engineer supporting distributed systems, environment reliability, and scaling capacity as seats and call volume grow.

DevOps focused on production deployments, CI/CD, security, monitoring/observability, and reliable scaling of the voice system.

Education:
M.S. Computer Science (Machine Learning) (Imperial College London).

Certification: AWS Certified Solutions Architect – Professional (plus additional AWS certifications).