B2B sales without
human sales staff
Build a fully automated B2B client acquisition conveyor. AI finds the right people who make decisions (decision-makers), studies their business and writes personalized letters with conversion open rate over 60%.
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Search for LPR in LinkedIn, Apollo and specialized catalogs
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Hyper-personalization of each letter based on client publications
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Automatic scheduling of meetings in your Google Calendar / Calendly
Why is this critical right now?
Spam templates do not work
Clients immediately recognize typical template letters and either send them to the basket or complain about spam
Salespeople do not have time to write manually
High-quality research of one client and writing an individual letter takes 30-40 minutes. Sales burn out.
Blocking email mailboxes
Mass email campaigns from one domain destroy email reputation, and all important company emails start going to spam.
What does it give to business?
Why is the implementation of this technology taking off in the first months.
Hyperpersonalization of each email
AI analyzes the LinkedIn post of the decision-maker, the latest news about his company, and makes a native compliment or relevant hook.
Secure infrastructure for domain names
We create separate satellite domains with warmup, so the main domain never risks its reputation.
Multi-channel chains
Combination of touches: add to LinkedIn ➔ like post ➔ personalized letter ➔ message in chat.
Automatic response processing
AI classifies responses ("interesting", "write later", "not relevant") and automatically answers or calls the manager.
Full integration with Calendly
The bot independently suggests free slots from your calendar and guides the client to confirm the meeting.
Scalability to international markets
Easy access to US, Europe, and the UAE markets with native speaker neural network language.
How We Implement It
No magic. Just a clear engineering process
Definition of ICP (Ideal Customer Profile): we fix positions, industries, company sizes, and geography.
Email infrastructure setup: domain purchase, DNS configuration (SPF, DKIM, DMARC) and 14 days of warming up.
Parsing and verification of the database: collection of up-to-date contacts without failures (Bounce Rate < 2%).
Creating generative AI prompts: training the model to write short, persuasive emails without fluff.
Testing and A/B testing: checking 3-5 offer variants on test cohorts.
Scaling and transferring meetings: putting the system into a stable flow 20-50 new leads per month.
Frequently asked questions
WILL MY LETTERS END UP IN SPAM?
No. We create an isolated postal infrastructure with full technical heating, use address rotation and limit volumes to safe 30-40 letters per box per day.
Where Do You Get Your Contact Base?
We use premium B2B databases (Apollo, Sales Navigator), verify the validity of each email through SMTP pings before sending.
What Does the AI Do in the Distribution Process?
AI reads the person's profile, finds common topics, identifies the company's current pain points, and creates a unique first paragraph that cannot be distinguished from a letter written by a live person.
Does this work for the Ukrainian market?
Outreach performs best for B2B in Ukraine (especially IT, logistics, manufacturing, wholesale), and also scales ideally for export markets.
When will we see the first leads?
After the infrastructure warming up, the first responses and booked calls arrive already in the first week of active mailing.
Ready for Implementation?
Describe your task. We will conduct a free audit and propose an AI solution architecture specifically for your business.