SYNQ AI
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Investment proposal · first round, $500K

Between a business and its money
the human is gone

A platform of AI employees for sales in chat.
Six messaging apps, our own AI CRM, payment right in the chat.

12 Paying customers
3 enterprise,
9 on subscription
$126K Per month
Customer sales run through AI employees
5 Months of development
No outside money, no ads
Works where your business works
Prodamus Cryptomus PayPal Dodo Payments Google Calendar Notion Salesforce
Problem

The invisible tax

Between a business and its money there has always been a human who:

  • sleeps
  • gets tired
  • gets sick
  • quits
  • gets distracted
  • never replies

The money for that customer is already spent. Everything after that depends on whether someone replies.

You can only hire another one just like him. What would make him stronger?

*** monthly bill ***
period:daily
register:chat
itemamount
Adscharged
Timecharged
Namecharged
total
0000 0000 0000 0000
*** no receipt issued ***

The market sold an agent that talks about the product and asks questions. It has no pipeline and never gets to payment.

The sales rep is still there, and every change in the business sends you back to the integrator:

  • raised a price
  • changed the hours
  • dropped a service

The road to the money now has two tollgates.

Pilates studioDM
Marina
Hi! Can I book a trial class for Saturday?
AI agent
Sure. We are open from 10:00 to 21:00
The studio no longer opens on Saturdays

The agent will hear about it from the integrator. The customer will hear it at a locked door.

Sales repalways therecloses the deal by hand Integrator+1 personsets up the agent Businesschat Moneypayment
Solution
SYNQ AI

We removed the middleman completely. Between you and your customer there is only the AI employee

An AI employee that walks the customer from “hi” to paid on its own.

You describe your business in plain words. It does the rest: runs the conversation, issues the invoice, takes the payment, grants access. No integrator, no developer.

SYNQ AI See how it worksA short video about the platform YouTube
Team

The two who built the product

Savva Kulakov
Savva Kulakov
Co-founder · CEO
Left Russia in 2022 
ETU “LETI”, St Petersburg, 2016Advertising and Public Relations
Path to SYNQ4 roles · MemeFi, KlikKlak, TheQrew
  • World Tobacco OriginalMarketing and Advertising Director, 2018
  • TheQrew ProductionFounder of the production studio: 9 years, 1000+ videos.
    Commercials, YouTube videos, live streams
  • Creative and executive producer
    of YouTube projects    KlikKlak 7M subscribers, Watermagic 3.61M,
    plus 3.2M across other socials
  • MemeFi, YouTube channel3.6M subscribers, 370M views. One of the first to build an AI content factory back in 2024, when AI models
    were only going mainstream
Produced commercials for Samsung, Huawei,
Lenovo, Bybit, Suzuki and other brands
Anton Grenkov
Anton Grenkov
Co-founder · CTO
Left Russia in 2022 
Bauman Moscow State Technical University, 2017Aircraft Control Systems
Path to SYNQ4 roles · Roscosmos, GoodBoy Swap, Barq
  • Roscosmos, Software engineerBuilt flight control software for aircraft
  • GoodBoy SwapBuilt the entire IT infrastructure of a crypto exchange.
    2 years on BestChange
  • BarqIT infrastructure for a charging station network in Tajikistan
  • 15+ projects, Fullstack + AI developerFrom architecture to deploy.
    Integrations with AmoCRM, Bitrix24, HubSpot
RAG pipelines, vector search,
GPU clusters

What two people built in 5 months

The platform builds the AI employee itself. The owner simply describes the business in plain words, the way you would brief a new hire.

The owner talks “We build hangars and carports. Free site survey.” Plus a link to the website and the Instagram profile Takes 5-15 minutes
SYNQ AIPlatform setup
The result The AI employee sells with zero manual setup Replies to customers across six messaging apps and takes them to payment

SYNQ AI asks questions, reads what you send, builds the AI employee and tests it on a live dialogue in front of the owner.

Works with what the business already has
Where the
AI employee replies Now TelegramWhatsAppInstagramFacebookVKMAX Coming soon Calls iMessage SMS
Business
tools 15+toolsbusiness tools work with SYNQ AI
Our own MCP server In testing
Run your sales straight from your own chat
Ask about a customer, launch a broadcast, fix the pipeline. Right inside a chat with ChatGPT or Claude, without opening SYNQ AI.
MCP is the standard AI chats use to connect to services. Notion and GitHub have their own servers. Competitors have none.
ChatGPT Claude
Our edge
SYNQ AI
Takes it to payment
Sells, takes the money and grants access
SYNQ One
Our own model, trained on data nobody else has: everyone else’s agent stops before payment. Today we run on a rented model and train ours in parallel. It learns from the dialogues that closed.
Sales pipeline
The AI builds the pipeline and moves the deal through the stages
Our own AI CRM
130+ fields, filled in on the fly
Referral system
For every customer
Payment and access
Invoice, payment and delivery inside the chat
“We sell an online English course, discount if you pay for a year”
AI employee assembled in an hour
pipelinepromptsknowledge baseauto-test
Competitors
Everyone promises the full cycle. The details are what matter
gets therewith a catchnever
SYNQ AI
Services in our classrespond.io · SleekFlow · Athena
Bot buildersManyChat · Chatfuel
Big tech
Meta Business Agent
Telegram
Proof

The product already earns

Twelve companies pay. Nine of them are in their second month at full price.

$25.7K
ARR
subscriptions and enterprise
9 of 9
in month two at full price
$126K
customer sales volume
through AI employees in a month
12
paying customers
9 on subscription, 3 enterprise
60 → 9
sign-ups became paying
conversion 15%, with no ads
7680 / 468
dialogues run, payments closed
How this is calculatedMRR, ARPU, plan mix and what goes into $126K
MRR
$2,141 = $1,200 enterprise + $941 subscriptions
ARR
$25,700 = $14,400 enterprise + $11,300 subscriptions
Subscription mix
7 × Basic $49 + 2 × Pro $299, full price
ARPU
$1,254 a year per subscription customer
What goes into $126K
customer sales volume processed through AI employees in a month. This is our customers’ money, not SYNQ AI revenue
Retention
second month at full price. No annual data yet
Data as of
5 August 2026

Every new customer makes the AI employees sharper for everyone else.

Live dialogues train the SYNQ AI models. That is why the first money of the round goes into acquisition.

Market

Every day business runs a billion chats.
AI was let into them only this year

We get compared to a sales rep’s salary, not to the price of a chatbot.

Sequoia Capital, 2026
200M
How many businesses are here
Message with customers
in WhatsApp every month
Meta. And that is one messaging app out of six.
1M
They already pay for chat
Businesses on ManyChat, just to have a bot reply to customers
$34.6M ARR. April 2025: a $140M round.
How many customers it takes to make money
10,000customers
$35Min annual revenue
That is what respond.io has in the same messaging apps.
The company is profitable.
June 2026
The market does not need creating
The chats are happening
The salaries are being paid
Competitors already earn

We take the part of the work they still hand to a human: closing the payment.

Start Southeast Asia Latin America Middle East CIS Next USA Europe
Economics

Four revenue streams

Subscriptions recur on their own. Messages and Qoins grow together with the customer. Enterprise brings the large tickets.

Subscription
Charged every month: Basic $49Plus $99Pro $299Ultimate $599
AI employee messages
Every reply to a buyer is metered. The customer sells more, and we earn more from the same customer without a new sale.
Qoins
The in-platform currency: part comes with the plan, the rest is topped up. Spent on: auto-testsbuilding the employeeknowledge basepipeline
Enterprise
We build a custom solution in 4-8 weeks. A large ticket up front and a way into companies that would never buy off the shelf.
1 monthCustomer payback Free and the promo month come back on the second payment. What is the margin?It is all calculated
Subscriptions Price per month. First month at promo, full price from the second.
Free
$0
10 days
100 messages
45 Qoins
Basic
$49
1st mo $19
2,000 messages
75 Qoins
$0.0245 per message
Plus
$99
1st mo $59
5,000 messages
125 Qoins
$0.0198 per message
All features
Pro
$299
1st mo $199
12,000 messages
195 Qoins
$0.0249 per message
Ultimate
$599
1st mo $399
30,000 messages
300 Qoins
$0.0200 per message

Pro costs more per message because it runs on the stronger model.

Margin at full price 100-300%

Lower plans 100%, higher ones up to 300%: price grows faster than cost.

Economics at scale ~500% on the top plans after the first thousand customers

We keep entry cheap on purpose while we gather the first thousand.

Costs are calculated for the worst case: the customer burns the whole message limit and every Qoin.

Margin grows together with the base
At the thousandth customer four levers switch on.
Prices upThe product is proven, cheap entry is no longer needed.
Our own modelOur own compute makes every AI employee reply several times cheaper.
DataThe AI employee gets it right the first time and spends less per dialogue.
UpgradesThe customer’s business grows and they move to a bigger plan.

This is an antibiotic

Competitors speed up the sales team.We remove its cost.
Three proofsSee for yourself
Vitamin: competitors
They hand the rep a convenient tool. The rep still closes the deal.
  • Answers questions. The rep closes the deal
  • Saves the employee time, but you pay the same salary
  • The sales team stays on the cost line. Easy to postpone the purchase
Antibiotic: SYNQ AI
We take the rep’s job ourselves. From the first message to the payment the deal is closed by the AI employee.
  • Sells: handles objections, pushes for the close, issues the invoice, takes the payment
  • Replaces the rep instead of speeding them up: the salary leaves the cost line
  • Costs less than one rep and scales without hiring

The cost of selling leaks every day: the team, the salaries, the training. Competitors speed that team up. We remove it.

The ask

What we are raising

We reached paying customers and enterprise on our own money. The round accelerates what already works.

Round
$500K
for 7% of the company. Enough for 12 months across the four directions below
Investor ticket
$100K-500K
A seat in the first circle and direct access to the founders
Valuation
$7M
The entry cap. If we grow past it, your share is still counted at this cap
Instrument
SAFE
The money arrives now, the share is fixed at the next round

The next round will be raised at a higher valuation. The first circle enters at this one.

What do we need the investment for?

Four directions. Each one strengthens the next.

01 · Engineering
Speeding up the product
We hire two people and get the speed of ten.
In five months the two of us built a platform that already runs at customers. It goes this fast because of our AI pipeline: it carries a task from mockup to front end and back end. This is not vibe coding: underneath it sits solid knowledge of design, code and AI, so the product has no holes and the interface has no AI templates. The pipeline makes an engineer tens of times faster, which is why two more strong people are enough for us.
02 · Data
Building our own brain
Today we rent someone else’s intelligence. Tomorrow it will be ours.
The money goes into three lines: GPU compute for training and running the model, dialogue labeling by deal outcome, training our own model. The cost per reply drops several times over. It learns from live deals across six messaging apps: tested hypotheses, full labeling and an understanding of how to sell in a specific niche and a specific country. Data like that is not for sale and not copyable.
03 · Marketing
Scaling the channels
Paid traffic keeps getting more expensive. Our main channel is content. We know how to do that.
More customers, more data, a stronger model. The bulk of the money goes where our CEO is strongest: nine years of production, a thousand videos, channels with millions of subscribers. The growth scheme through an AI workflow is already built and tested on our own audience. The round puts it into production.
04 · Salespeople
Collecting selling experience
We bring in the best salespeople and put their experience into the AI employee.
The strongest sellers from different niches and countries train SYNQ AI on their own playbooks. What goes inside the AI employee is real selling experience, not invented scripts: how deals actually close in that niche and that country. After that they become ambassadors: whoever has an audience takes a cut of sales and brings in their own customers.
Where we are going

Soon an AI employee
in sales will be the norm

Working without online payments is no longer possible.

2015

Working without CRM is no longer possible.

2020

Working without an AI employee is no longer possi

now

We want that employee to be called SYNQ AI.

Now
First 200 customers by hand

We onboard them ourselves, through a demo on a call. This is where the product data and the first channels come from.

By the end of 2026
1000 paying customers

We open the door wider. Three channels at once: self-serve, enterprise, partners.

Next
Ready for an exit

An acquisition talk from a position of strength: the channels and the AI CRM are easier to buy than to catch up with.

The category is being bought up

Three deals in the niche in 18 months. Not one of the acquired companies takes a customer to payment.

$3.6B
Intercom · Fin
acquired by Salesforce, 2026

Support AI. $0.99 per reply plus a per-seat fee. It cannot sell.

$2.85B
Moveworks
acquired by ServiceNow, 2025

AI for your own staff: IT and HR inside the company. From $50K a year. It works inward, not toward the customer.

$955M
Cognigy
acquired by NiCE, 2025

Contact center bots. From $115K a year, and you need your own developers. The bot answers, it does not sell.

The buyers are already here. Three types of players are consolidating the category
Messaging commerce and broadcast platforms
Gupshup, Infobip, Sinch, Bird
CX platforms
Zendesk, NiCE, Genesys
Sales-engagement
Salesloft, Apollo, Gong

Salesforce, HubSpot, Meta and Telegram are aiming here too, but as big corporations they move slowly. That plays into our hands.

What the investor gets

Entry into the round: $500K on a cap of $7M.

Paying businesses
Annual revenue
Exit valuation
Your return
~4,000
~$5M
~$100M
~7x
~12,000
~$15M
~$300M
~21x
~24,000
~$30M
~$600M
~42x
The sudden unicorn
$1B at 20x needs ~$50M in annual revenue and ~40,000 paying businesses.
~$1B+~71x

The return is calculated after dilution by future rounds. The base case is a strategic exit, the upper bound depends on whether we reach leadership in the niche.

~$1,254
a year from one business
Blended price from our actual book: 7 × Basic and 2 × Pro.
0.012%
of the market is 24,000 businesses
Of 200M businesses in the world and 2.4% of ManyChat’s base.
×20
annual revenue is the valuation
Moveworks, at $100M+ in annual revenue, went to ServiceNow for $2.85B, and the market called that price a premium. So 20x here is the upper bound, not the middle.

The amounts are derived from the deals above. These are scenarios if the targets are hit, not a guarantee, but even the lower bound here is a strategic acquisition, not an acquihire.

You write straight to the founder, no application form. Savva, CEO, replies. Talk to the founder