Megdoot reads every account before it writes a word — so the emails your prospects get are specific, checkable, and worth answering. No claim without a source. No send without a reason.
Free workspace · No card · Nothing sends until you approve it
Opened two regional hubs this quarter and posted four warehouse-automation roles.
careers.northwindfreight.com primary · 2d ago · 0.91Ops team grew from 6 to 11 since March; two hires titled "dock scheduling".
linkedin.com/company/northwind-freight secondary · 5d ago · 0.78Q2 letter cites "throughput at the second site" as the operating priority.
northwindfreight.com/investors primary · 9d ago · 0.86One prospect, researched live. A fictional company; the real pipeline. Every cited sentence in the draft points at a record that appeared above it.
Built on, and connected to, what you already run
Everyone can send a thousand “quick question about {{company}}” emails a day now. Your prospects have learned to delete them on the first line.
A pattern-guessed address and a verified one look identical in most tools — until the bounces land on your domain, not theirs.
A model with no evidence writes a compliment about “impressive growth”. One wrong claim and the reader knows nobody was home.
That is the whole idea behind Megdoot. Here is what it means for the person on the other end — and for you.
Every account is resolved, the decision-maker identified, the address checked by an independent verifier. Verified stays verified; a guess stays labelled a guess — and your policy decides which may ever be sent to.
The writer is only ever handed evidence records — a claim, a source, a date, a confidence. No record, no sentence. When you review a draft, the exact records it was written from sit beside the words. Approving takes a five-second read.
To Priya Raman · Subject second hub, same dock team?
Priya — two hubs in one quarter is a lot of new dock doors. Most ops teams hit a scheduling wall at the second site, not the first…
Opened two regional hubs this quarter and posted four warehouse-automation roles.
careers.northwindfreight.com 0.91Q2 letter names "throughput at the second site" as the operating priority.
northwindfreight.com/investors 0.86A separate model grades every draft for specificity, hallucination risk and spam signals. Anything below your bar never reaches your queue — and what you reject teaches the writer.
A funding round, a hiring spike, a new office on a company you track — Megdoot researches and drafts on the signal, so you reach people in the week it matters. Sending still waits for your approval policy.
Funding round → research + draft
funding
Hiring spike → flag for review
hiringexpansion
New office → local intro
new_office
The same prospect, written two ways. Highlighted spans on the right trace to an evidence record. The merge fields on the left trace to nothing.
Hi {{first_name}},
I came across {{company}} and was really impressed by your growth in the {{industry}} space.
We help {{industry}} leaders cut costs by up to 40%. Would you be open to 15 minutes on Thursday?
Priya —
Two hubs in a quarter is a lot of new dock doors. Most ops teams we work with hit a scheduling wall at the second site, not the first — the first one gets everyone’s attention.
If that’s already showing up in your load planning, I can send the two things that fixed it fastest for a fleet about your size. Worth a look?
The tools that made cold email cheap made it worthless, and the mailbox providers are now enforcing what recipients already felt. The only outbound with a future is the kind that was worth sending.
Average cold-email reply rate in 2025, down from ~7% two years earlier.
Vendor-published benchmarks, 2023–2025Messages a day at which Google, Yahoo and Microsoft now enforce bulk-sender rules at the SMTP level.
Google & Yahoo (2024), Microsoft (2025)Estimated three-month churn at the best-funded "AI SDR" — the one that wrote emails it never checked.
TechCrunch, 2025An ICP, a list, or just a market you want to understand — the same research and the same evidence standard behind each door.
You have an ICP, not a list.
Describe who you sell to. Megdoot finds the companies and the decision-makers, verifies the addresses, then researches, writes, judges and sends inside your policy.
You have the names already.
Import the export you have. Every row gets researched from scratch and written to individually — no discovery, no merge fields, no guesswork.
You want the map before the outreach.
Score a market: signals, evidence, key people, ICP fit — with a hard guarantee that nothing is drafted and nothing is ever sent.
Most tools return one word: found. That word hides an enormous amount, and the bounce rate it produces is charged to your domain. Megdoot keeps six states apart the whole way through, and your policy decides which may ever be sent to.
If a bounce, a bad claim or a spam flag lands on your name and your domain, Megdoot was built with you in the room.
One paragraph, written like a brief to a colleague. Megdoot turns it into an ICP, personas and a sending policy you can edit.
Companies resolved, decision-makers found, addresses verified, evidence filed with sources. Live, on screen.
Each draft arrives with the exact records it was written from and a judge’s score. Nothing sends until you say so.
Mostly about your domain, and whether the machine can be trusted with it.
That is the failure mode the product is built around. Addresses are verified before anything sends, and inferred ones are labelled inferred — your policy decides whether they may ever be used, and the default is no. Each mailbox has its own daily cap and warmup ramp, sending rotates across connected mailboxes, and the suppression list is checked before every individual send. You also set the window: which hours, which timezone, weekdays only or not.
The writer is never handed a free-text impression of a company. It receives evidence records, each carrying a claim, a source URL, a timestamp, a quality grade and a confidence — and it writes from those. A prospect Megdoot could not learn anything checkable about is skipped and reported to you, rather than padded with a compliment about their impressive growth. A second, independent model then grades the draft before a human sees it.
A sequencer starts from the email and fills in blanks. Megdoot starts from the account: resolve the company, find the decision-maker, verify the address, research what is actually going on, score whether it is worth writing to at all — and only then write. Most of the work happens before a draft exists, and a large part of the value is the prospects it tells you not to email.
No. Three modes over one intelligence core. Manual runs a stage at a time, on demand. Copilot researches, writes and judges everything in advance and hands you a review queue with the evidence attached. Auto works the mission inside the policy you set — score floors, quality floors, daily caps, which email statuses may ever be sent to. It is a per-mission setting and you can move it in either direction at any time.
Model spend is tracked per prospect, per mission and per day, and shown to you. Work is routed by task across cheap, mid and frontier models rather than sending everything to the most expensive one — scoring does not need the model that writes the email. Every record carries the cost that produced it, so the unit economics are visible rather than inferred at the end of the month.
In your own workspace. Signing up provisions a private workspace that only you belong to; workspace membership is re-checked on every single request, so nothing leaks between accounts. Connecting a Gmail mailbox is a separate consent from signing in, and it is the only thing that grants sending access.
Import a list or describe who you sell to. Every claim it makes will have a link next to it, and nothing sends until you say so.
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