The AI sales workspace

The AI workspace for outbound that actually did the research.

Saqua is where your team researches prospects, drafts grounded emails, and refines them by chatting — reading a company's site, positioning, and who they serve like a person would. No templates. No sequences. Nothing invented.

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saqua.app / workspace
Research Stripe and draft an intro email.
Fetched stripe.com
Read product & positioning
Found decision-maker
Writing the email
Draft
CopyEditRegenerate
stripe's range

Hey Patrick, payments for a two-person store and half the Fortune 500, on the same rails. Most companies pick one.

Quick reason I'm writing: I built a thing that does the research and writing part of cold outbound, so the first email actually sounds like a person looked. Still early, but it's landing replies.

Are you the right person for this, or should I be bugging someone else?

Draft email
CopyEditRegenerate
stripe's range

Hey Patrick, payments for a two-person store and half the Fortune 500, on the same rails. Most companies pick one.

Quick reason I'm writing: I built a thing that does the research and writing part of cold outbound, so the first email actually sounds like a person looked. Still early, but it's landing replies.

Are you the right person for this, or should I be bugging someone else?

What you get

A real email, not a mail merge.

Every draft is researched, grounded, and written to sound like you — then yours to refine.

  • Personalized research
  • Company-specific hooks
  • Founder voice
  • ICP targeting
  • Custom instructions
  • Human-quality writing
  • Conversation refinement
  • One-click regeneration
The problem

Buyers can smell a template
from the first line.

Real personalization takes an afternoon per prospect. So teams automate it — and the automation is exactly what gets ignored. The result is more volume, fewer replies, and a brand that reads like a robot.

Hours per lead

Genuine research doesn't scale by hand. One good email can eat an afternoon.

Templates that ignore

Mail-merge tokens aren't personalization. Prospects delete them on sight.

Hallucinated detail

Generic AI invents facts. One wrong claim and the trust is gone.

The approach

Every sentence is grounded
in something real.

Saqua reads the actual company, extracts verified facts with the quote that supports each one, and stops as soon as it knows enough to write. If a detail isn't on the page, it never appears in the email.

Adaptive research

Reads only as many pages as it needs — often just the homepage — then stops.

Quote-grounded

Each fact carries the exact quote it came from. No claim without a source.

One human email

Short, specific, in a founder's voice. It refuses to send anything generic.

How it works

A name in. A grounded email out.

01

Name or website

Type “Stripe” or paste a URL. Saqua resolves the official site before it starts.

02

Adaptive research

It reads the site, extracts verified facts with sources, and stops the moment it knows enough.

03

Draft in your voice

One short, personal email built only from what it actually found.

04

Refine by chatting

“Make it shorter.” “Target the CTO.” “Drop that line.” It edits — never re-researching what it already knows.

FAQ

Questions, answered

No. Every fact is grounded in a quote from a page it actually read. If a detail isn't there, it's left out rather than guessed.

Mail-merge inserts tokens into a template. Saqua researches the company first and writes one email from what it found — closer to how a person would.

A company name or website. It resolves the official domain, researches it, and drafts — then you refine by chatting.

Founders and lean go-to-market teams who want personal outbound at more than one-at-a-time speed, without sounding automated.

See it research a company you know.

Bring a name. Watch it work. Read the email it writes.

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