Another firm Unveils a new AI Outreach Platform, Prompting Spam and Ethics Concerns

Yet another entrant has joined the increasingly crowded cold outreach automation space: Mailgo, an AI-powered platform claiming to transform how marketers and sales teams run cold email campaigns. It recently launched on Product Hunt.

They claim to combine lead sourcing, email writing, inbox management, and deliverability optimisation into a single platform. It promises to help users “reach more leads, faster,” using AI to generate personalised messages and improve sender efficiency.

According to its marketing materials, Mailgo was founded by a team of “AI and email marketing experts from Google, Microsoft and more” – these claims remain completely and totally unverified. The company hasn’t disclosed founding team members or public LinkedIn profiles. In its website footer, Mailgo is listed as a product of LeadsNavi Pte. Ltd.

Mailgo positions itself as a more affordable alternative to tools like Instantly, Lemlist, and Smartlead, all of which aim to scale outbound efforts through automation.

Why Mailgo’s Launch Raises Concerns

While Mailgo’s feature set may appeal to SDRs, founders, and growth marketers, it also underscores some deep, long-standing concerns among email marketing, deliverability and compliance experts.

1. Scale Without Consent

Mailgo, like many outreach platforms, enables users to send high volumes of automated, “personalised” messages, often to scraped or third-party-sourced contacts. While this may drive short-term results, it erodes the channels value and trust, it throws out permission-based marketing principles and adds to the global glut of non-consensual email.

2. Deliverability Damage at Scale

Mailgo promises better deliverability, but platforms like it can do the opposite at industry scale by contributing to:

• Poor-quality, untargeted outreach
• Abuse of shared sending infrastructure
• Degraded domain/IP reputation
• Generally degrading the inbox experience for everyone

This hurts not only individual senders, but also undermines inbox trust across the ecosystem.

3. Ethical and Legal Blind Spots

Their site and materials are vague on key compliance and risk issues:

• How does it ensure GDPR, CAN-SPAM, or PECR compliance?
• What sources does it use to “find leads”? What kind of consent is implied or otherwise?
• What does its “email warm-up” features simulating engagement, how does it work, does it rely on shared inboxes and other practices that may violate Gmail, Outlook, or third-party terms?

This lack of transparency raises legal and ethical questions, especially for users in regulated industries.

4. Weaponising AI for Cold Email

AI-generated personalisation might boost open rates, but if thousands of users send templated messages that mimic human tone without offering real relevance, it is likely crossing into deception. Recipients are more likely to feel manipulated, and to mark these messages as spam, as likely they rightly should.

A Broader Pattern in Outreach Tech

This recent announcement is just part of a wider shift in cold outreach:

• More volume, less accountability
• More automation, less transparency
• More tools, lower trust

By making it faster and easier to flood inboxes with AI-generated emails, platforms like theirs may deliver short-term wins, but at the cost of long-term channel health.

Final Thoughts

Mailgo arrives with slick UX, strong marketing, and a tempting promise: help sales teams scale faster. But its approach raises critical questions about sustainability, ethics, and trust in email as a marketing channel.

As more AI tools enter this space, we face a growing risk of personalised spam at scale, a future where inboxes are filled with messages that look human but feel hollow.

The bottom line?
The platform accelerates the very problems email experts have spent years trying to solve: inbox fatigue, poor sender reputations, and user mistrust.