Paitho
Stop paying agencies for generic outreach.

Turn bulk lead lists
into proposal-ready outreach. Automatically.

Paitho is an AI-native sales workflow that qualifies leads, extracts hidden pain signals, and drafts highly personalized pitches — at the volume you choose, without senior-sales time.

crm_export_2026-04.csv
2,431 rows
paitho.run() v1.14
qualify()✓ 847/2431
audit_site()
extract_signals()✓ 3.2 avg
draft_pitch()■ 214
runtime00:14:22
draft · 00142 · devtools
fit 92
Subject:
The 3 hrs/week your team loses re-keying POs from Amazon Seller Central
Body:
Leads qualified
2,431 → 847
Signals extracted
2,713 avg 3.2
Unique drafts
847 no templates
Operator hours
1.2 vs 40 agency
Acme
vellum
NORTHSTACK
Fieldwire&Co.
◆ Parallax
dealerline
+ 20 vertical leaders

Personalization
at scale
has always
been a lie.

A senior rep can write a great pitch, but they don't scale. An SDR can send volume, but generic copy kills reply rates. Bulk data tools give you the list — but 80% are poor fit and 100% are un-personalized.

Senior rep
SDR / agency
Paitho
Volume / week
~15
Volume / week
500+
Volume / week
1,000+
Personalization
High
deep, individual
Personalization
Merge fields
{{first_name}}
Personalization
Pain-grounded
observed, per-lead
Cost
$10k/mo
Cost
$5k/mo
agency retainer
Cost
$500–1,500/mo
+ your own LLM keys
Bottleneck
headcount
Bottleneck
reply rate
Bottleneck
none meaningful

Between the raw list
and the Send button.

Four deterministic stages. Each one inspectable, each one self-improving from your replies.
stage 01 qualify()

Deep Qualification

AI reads websites, socials, and public signals, then scores every lead against your exact ICP rules — not a 5-checkbox filter.

icp.yaml
employees: 10..80
stack: shopify | wc
channels: ≥ 2
revenue_tier: B
exclude: agency
scoring · last 6 leads
Rivet Fabrication Co.
92
Northpoint Supply
81
Maker's Block Inc.
74
Dash Micro LLC
38
OrbitalX Studios
22
Bellaterra Foods
88
Kept 847 / 2,431rejected in-loop
stage 02 extract_signals()

Pain-Signal Extraction

Structured web-audits find the hidden signals that trigger real need.

multi_system_scatter no_online_booking manual_po_entry marketplace_dependency portfolio_bloat slow_load_>3s stale_blog_>6mo no_dealer_locator + 42 more
stage 03 draft_pitch()

Solution-Specific Pitching

No generic merge fields. Angles grounded in the specific pain observed on the lead's site.

"Hi {{first_name}}, saw your company and thought we'd be a fit..."
+ "Your dealer-locator still points to 3 zip codes in WA. If you're relying on Amazon to reach the other 48, here's how Rivet cut marketplace dependency from 78% → 31% in a quarter."
stage 04 review()

Human-in-the-Loop

Review 200 unique, pain-grounded drafts in an hour. Keyboard-first triage. One click to send.

J next · E edit · approve · X skip
#
Lead
Top signal
Angle
Fit

Run a real lead through Paitho.
In a sandbox you control.

Pick a vertical. We spin up a clean Docker sandbox seeded with a sample list and 50 AI credits. Session lives 2 hours. No card, no email-list trap.

Prompts that
learn from
your pipeline.

Every LLM call is versioned. Every reply is tracked. Paitho tells you exactly which pitch angle converts best for which vertical — turning your outbound motion into a compounding asset.

LLM calls
142k versioned
Replies tracked
8.4% avg reply rate
paitho / analytics / pitch_angles
vertical: manufacturing
updated 2m ago · 1,284 replies live

Bring your outbound
in-house.

Replace your $5k/mo agency with one operator and Paitho. 30-minute demo, tailored to your vertical.

Tweaks
Theme
Accent color
Background tone
Hero headline
Display font