Tech
Email Verification Company Kickbox Launches its New Partner Portal
Email address verification company, Kickbox, has announced the release of its new partner portal. The step has been taken in order to provide agencies, brands, and ESPs the option to provision as well as manage the accounts of their customers and teams. Kickbox’s initiative has come after receiving its feedback from its strong partners and it will remove the hindrance due to traditional onboarding in various brands.
With the help of this new partner portal, it will become easier for various companies’ clients to import, verify and export all the genuine email addresses because of their shifting to the new ESP. Now, the emails of brands will see an improvement in the inbox placement in the new platform.
Keeping in consideration the importance of email verification in today’s digital world, this is considered an excellent move by Kickbox. Various popular email checker companies enjoy a large number of clients, who rely on their email verification services. So, this change will bring a new revolution to the functioning of brands, agencies, and organizations. This newly launched platform will give an organization based email data insights by recognizing deliverable, undeliverable, risky, role-based and disposable email addresses of various accounts of clients. It will be done by ensuring email address data security of clients or subsidiary companies.
Dan Stevens, CEO of Kickbox, said that many long-standing enterprise and agency partners were complaining to him about the challenges they face in maintaining sender reputation. He said with the working of the email verification system, it is possible to improve the marketing performance of any company. Further, he revealed that the new portal will enable their partners to use this single source in order to visualize and influence list verification data. Also, it would support reducing the friction of on-boarding new accounts and help to monitor critical email health data in large organizations.
Tech
My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations
By: Chelsie Carvajal
Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.
Turning Tasks Into Conversations
My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.
Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.
Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.
From Content Pipelines to Voice‑Led Workflows
The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.
Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.
Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.
Why Businesses See Conversation as Infrastructure
Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.
Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.
Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.
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