Autonomous outbound sales

Your First Autonomous AI B2B Sales Manager

Averlim Pulse finds target companies across the web, analyzes their business, writes perfectly personalized emails in the client's native language, and drives them to a booked call.

Go to login / register How it works

Average reply uplift

+4.2x

Languages

Any language

Lead process

24/7

Averlim Pulse

Action chain

AI workflow

Scout

Finds websites, contacts, and signals.

Write

Builds a message from real company data.

Dialog

Replies intelligently and books a meeting.

One autonomous workflow from first signal to calendar invite.

Gemini Calendar

How it works

Agent architecture

Three specialized agents coordinate like a sales team, but without delays, handoffs, or repetition.

Scouting

Searches websites, directories, and open signals, then extracts useful contacts and company context.

Website discovery and crawl
Contact enrichment and validation
Signal filtering for fit and intent

Personalization

Generates emails with Gemini API using real company facts, industry context, and the person's role.

Company-specific message logic
Native-language output
Multiple variants for testing

Negotiation

Answers objections, maintains context, and automatically books a meeting in your calendar when interest appears.

Instant objection handling
Calendar booking workflow
Human handoff when needed

AI Thought Process

A transparent, presentation-ready trace of how the agent evaluates the opportunity, finds the right buyer, and turns context into action.

Console Trace

Case: Eco-friendly packaging for e-commerce

Live

Step 1

Goal: find online stores and clothing brands in the region with turnover above X. Exclude competitors.

Step 2

Scanning Google Maps and registries. Match found: brand "EcoWear". Analyzing the website... Problem detected: they claim an eco concept, but use ordinary plastic tape in the delivery description. This is a hook.

Step 3

Parsing contacts. Found the procurement email and the LinkedIn profile of the decision maker.

Step 4

Writing a unique offer around their pain: switching to a biodegradable adhesive layer. Language: [Selected language].

Step 5

Response received: "We have a long-term contract." Launching Agent 3. Building a reply with a 15% savings calculation on our volumes without breaking the contract.

Step 6

Success. The client agreed to a demo call. The meeting was added to the calendar for Thursday at 14:00.

Why this works

The trace shows how the system converts weak signals into a relevant message, then uses negotiation logic to preserve value.

Readable operational trace

Signal quality

The agent does not stop at finding leads. It looks for contextual proof points that make the offer specific.

Buyer context

Contacts, roles, and procurement details are merged into one prompt so the message fits the real buying process.

Objection handling

Agent 3 responds with economics, not discounts, preserving margin while moving the conversation forward.

Result

The output is a measurable outcome: qualified call booked, not just another sent email.

Email Use Cases

Switch between real-world scenarios and see how the agent changes tone, proof points, and closing strategy without losing context.

How to read this

Each example is shown as an inbox-style thread: the first outreach email, the client reply, and the negotiation response from Agent 3.

Working with a price objection

Personalized analysis of the client's website with a logistics and packaging optimization angle.

Thread 01

Initial outreach

Subject: Optimizing packaging expenses for [Company Name] Good morning! My name is Anna, and I lead B2B logistics at Averlim Pulse. I spent some time reviewing your store today, and I want to start by saying you have a strong assortment and a clear brand. One detail stood out in the shipping section: you position the company as eco-conscious, but the current packaging still uses standard plastic bags and regular tape. That creates a small but important mismatch with the experience your customers expect. We manufacture certified biodegradable packaging and kraft boxes at wholesale scale. I mapped the main items in your catalog, especially jackets and hoodies, and I believe we can move your shipments to 100% eco-friendly materials while also reducing logistics spend by up to 15% through better box sizing and tighter fit to your delivery patterns. If this is relevant, could you point me to the person responsible for packaging or operations? I will send a precise calculation and a suggested rollout plan.

Client reply

Good morning, Anna. The concept is interesting and we have talked about it internally. The problem is that this quarter's budget is very tight, and eco packaging is usually more expensive. At the moment we do not think we can switch suppliers right away.

Agent 3 response

I understand. Budget pressure is the first thing everyone asks about right now, which is exactly why I framed this as optimization instead of a change for its own sake. The interesting part is that the packaging line is often only one part of the cost. In e-commerce, brands frequently overpay for courier tariffs because they ship products in boxes that are too large for the actual item and then fill the empty space with expensive bubble wrap. That is why I would suggest a free audit and a precise calculation based on your real shipping volumes. We will match formats specifically to jackets and other core items, and if the numbers do not work, you will at least have a clear comparison to your current setup. Would Thursday or Friday be better for me to send the numbers over?

Statistics

Conversion benchmark

See how personalization changes the economics of outbound without increasing manual workload.

Cold spam

2-4%

Typical reply rate from generic mass outreach.

Averlim Pulse

15-20%

Personalized outbound built on real company data.

Time to first reply

-68%

Less time spent writing, segmenting, and following up.

Conversion comparison

The chart below compares a generic cold-spam workflow with a personalized AI workflow across conservative, typical, and peak scenarios.

Cold spam usually stays near 2-4%, while Averlim Pulse reaches 15-20% when the signal and personalization are strong.

Cold spam Averlim Pulse | Scenario / Conversion rate, %

Pricing

Start small, validate fast, and scale only when the pipeline proves itself.

All Averlim Pulse features, including AI copywriting, objection handling, calendar integration, and analytics, are included in every plan.

Trial

Perfect for a quick test drive. Launch your first automated campaign, evaluate the accuracy of AI website analysis, and get your first replies in real-time with zero financial risk.

Choose plan

Current

$49/mo

Kickstart for micro-businesses and freelancers. Fully covers the lead generation needs for a single person, generating up to 40 highly personalized B2B outreaches every business day.

Choose plan