LIVE INTERACTIVE DEMO

Replace your SDR team's manual prospecting.
Without losing the personal touch.

The AI researches each prospect, drafts a message that doesn't sound AI-generated, sends it on the right channel, handles the reply, and books the meeting. Watch it work.

30+
Hours saved per SDR weekly
4×
Reply rate vs generic templates
47
Researched prospects per minute
See the journey
SCROLL

Outbound is broken at every layer.

SDRs spend 70% of their day researching, drafting, and chasing. Reply rates collapse. Reps burn out. Hiring more doesn't scale.

Without Mukh.1

SDRs as glorified email robots

  • Hours of LinkedIn scrolling for "icebreakers"
  • Generic templates that prospects detect in 2 seconds
  • 1.2% reply rate, 0.3% meetings booked
  • Manually copy-pasting into 5 different tools
  • Reps quit, you re-hire, you re-train, repeat
  • The meeting that does book → AE walks in cold
→
With Mukh.1

Genuinely personal at machine scale

  • AI reads every prospect's LinkedIn, news, hiring signals
  • Each message references a specific real detail
  • 5–9% reply rate, 1.8% meetings booked
  • One workspace — research, send, reply, book
  • Your AEs only do what only AEs can do
  • Auto-handoff to AE with full context

The 5 stages — from blank list to booked meeting.

Each stage is interactive. Scroll to see exactly how the AI thinks, drafts, sends, and books.

01
DEFINE TARGET

Tell the AI who to find

Skip lead lists and CSV exports. Describe your ICP in plain English — the AI takes it from there.

  • Searches LinkedIn, Apollo, Crunchbase, news in parallel
  • Filters out competitors, current customers, churned accounts
  • Surfaces fresh signals (funding, hiring, launches)
Under 10 secondsLinkedIn · Apollo · Clay
app.mukh.one/outbound
Define your target prospects
Industry
Location
Revenue
Title
02
AI RESEARCHES

47 prospects analyzed in real time

The agent enriches every match with intent signals. Each card shows you exactly why this person matters today.

  • Detects buying signals (funding, hiring, posts, launches)
  • Scores each prospect on fit + timing
  • Surfaces the "why now" angle for each one
Live signal detectionLinkedIn · CrunchBase · News
app.mukh.one/prospects
Researching · 0 of 47 enriched
SK
Sara Kapoor
Founder, Boutique Bel-Air
🔥 92/100
📈 Series A · Mar 2026🚀 Hiring CX Manager💬 Posted about WhatsApp last week
AR
Ahmed Rashid
CEO, Modwear Co.
🔥 88/100
📦 Launching new product line🌍 Expanding to KSA💼 Adding 12 jobs
MA
Maryam Al Falasi
Co-founder, LuxBag
🔥 85/100
💰 $3M raise · Apr 2026📱 Strong IG presence🏆 Award winner 2026
HK
Hassan Kazmi
Founder, Gourmand DXB
🔥 81/100
🍽 Reviewed in Time Out📈 Opening 2nd location👥 Hiring ops lead
03
MESSAGE DRAFTING

Personalized — without copy-paste templates

See the difference. Generic AI vs Mukh.1: every message ties to a real detail the AI uncovered in research.

  • Tone matches the recipient (B2B SaaS ≠ retail brand)
  • Each opener references something specific they did
  • A/B variants generated automatically for testing
Per-prospect personalizationGPT + your style guide
app.mukh.one/compose
Generic AI ✕
Mukh.1 ✓
RESEARCH-BACKED · PERSONAL
To: Sara Kapoor
Channel: LinkedIn DM
Hi Sara — saw Boutique Bel-Air just hit 50K followers and you're hiring a CX Manager. We just helped a Dubai fashion brand cut their support response time from 8 hours to 2 minutes with a WhatsApp agent — before they hired that CX role. Happy to share how they did it if useful — no pitch unless you want one.
Why this works
References 2 specific signals (follower milestone, hiring) → not generic. Frames the offer around her current pain (CX hiring) → relevant. Closes with low-pressure offer → not salesy.
04
OUTREACH + REPLY

Sends, listens, books — try it live

Bot doesn't just send — it handles every reply, on whichever channel they prefer. Tap a reply below to see how the AI handles it differently each time.

  • Same agent works across LinkedIn, WhatsApp, Instagram, Email
  • Handles objections with context (case studies, pricing)
  • Books directly via embedded calendar — no "send me times"
Interactive · pick the replyLinkedIn · WhatsApp · IG · Email

Sara Kapoor

Founder, Boutique Bel-Air · Active

05
AE HANDOFF

Full context delivered to your AE

The moment the meeting is booked, your AE gets a Slack DM with conversation transcript, account research, and a recommended pitch.

  • AE sees every message exchanged so far
  • Recommended pricing & relevant case studies pre-pulled
  • Calendar invite + Zoom link auto-created
Instant handoffSlack · Salesforce · HubSpot
DM · Maryam Al Falasi (your AE)
Meeting booked. Handing over to you.
Sara Kapoor · Boutique Bel-Air · Thu Apr 30 · 4:00 PM
Account Snapshot
Industry
E-commerce / Fashion
Size
~30 employees · ~$2M ARR
Funding
Series A · Mar 2026 · $5M
Pain shared
CX hiring + WhatsApp support
Suggested Pitch
Plan
Studio Advanced ($300/mo)
Lead with
DigitalMart fashion case study
Mention
WhatsApp Business API certified
Avoid
Don't ask "what do you do?" — already in research

Why teams ditch their SDR tools for this.

Real numbers from Mukh.1 customers running outbound across LinkedIn, email, and WhatsApp.

9.2%
Reply rate
vs 1.2% industry average
30+ hrs
Saved per SDR weekly
No more research + drafting
1.8%
Meetings booked / outreach
vs 0.3% industry average
$0
Spent on Apollo + Outreach + Lemlist
One platform replaces the stack

Replaces your entire outbound stack

LinkedIn Sales NavEmail (any)WhatsApp BusinessSalesforceHubSpotSlackApolloCrunchbaseCalendlyZoom

Ready to retire your SDR tools?

Show us your ICP. We'll spin up a working outbound agent for one of your target accounts — and book a meeting for you live.

Book a real demoSee more demos