For investors
aVtonomus turns market data into concrete decisions
aVtonomus is Decision Intelligence for business: a system that shows the real market picture and turns it into priority, recommendation and action.
- Data
- Insight
- Opportunities
- Priority
- Decision
- Action
A working product
aVtonomus is already live
App: RU + EN
the public site is also in RU, KK and EN; the product is built for international use
There is more data. aVtonomus turns it into a decision.
Today a business has analytics, CRM, search demand, ad data, competitor information and general-purpose AI.
The most expensive stage is still largely manual: “What of all this actually matters for my business — and what should I do next?”
Most tools answer one separate question well. aVtonomus is built around the move from many scattered signals to a priority business action.
Why now
AI is moving from separate answers to sequential intellectual work. At the same time a category is forming: Decision Intelligence — software that turns data, analysis and AI into a concrete management decision.
aVtonomus does not build its value around one specific AI model. Models will get stronger and cheaper. Long-term product value should accumulate in the context of a specific business, the history of decisions, market changes and the results of actions.
The product is built and working
Today this is one working cycle, not two separate services: researching the situation and turning the conclusion into an implementation structure.
Research
Research
Shows the situation, demand, who captures demand, opportunities and priorities.
Blueprint
Implementation plan
Turns the conclusion into an implementation structure: brief, recommended cost and a ready commercial offer.
The TOP-3 priority opportunities sit at the top of the result. The detailed review, data and evidence sit below.
For each priority opportunity you see:
01
What was found
02
Why it matters
03
What supports it
04
What to do next
05
How strong the grounds are
From a one-time analysis to a standing decision system
Next the product should grow from a one-time review to a regular system. This is a trajectory, not a claim that every stage already works.
- 01
Research
NowUnderstand the situation.
- 02
Implementation plan
NowDecide what to do.
- 03
Monitoring
RoadmapSee material changes.
- 04
Growth
RoadmapRegularly find new opportunities and refresh priorities.
- 05
Autopilot
RoadmapFuture automation of selected repeating actions where that is justified and safe.
A global task, not a local service
The question “where should the business grow next?” exists in almost any market.
The starting audience is digitally mature small and medium companies, and part of the mid-market, that regularly decide on new products, services, markets, regions and development spend.
SaaS is cloud software that a client uses regularly and usually pays for on a subscription. Mid-market means companies of medium scale between small business and large corporations.
Team
aVtonomus is a product of a team from the Astana Hub ecosystem.
Monetization model
The analysis is paid for in the app and runs after payment. Its job is to give the user real value on their own business after they pay for the chosen analysis.
4 900 ₸
see what you are missing
9 900 ₸
see what to do
19 900 ₸
a brief to build or rebuild a site
59 000 ₸
Agency 20 — 20 client reviews
69 000 ₸
Agency 30 — 30 client reviews
119 000 ₸
Agency 50 — 50 client reviews
The client does not pay for AI tokens or a PDF. They pay for a clear result on their business. The first step is a one-time service: 4 900, 9 900 or 19 900 ₸. Agencies that regularly work with several client businesses have Agency 20, Agency 30 and Agency 50.
Where we are now
The product is built and working. The company is moving from building the product to a systematic commercial check.
What is being checked now is this sequence: value → payment → reuse → efficient acquisition → international repeatability.
Retention is whether the client keeps using the product after a month, a quarter and beyond. CAC is the cost of acquiring one paying client. These figures are still being checked, not presented as proven.
- 01
Value
- 02
Payment
- 03
Reuse
- 04
Efficient acquisition
- 05
International repeatability
Value above the level of one AI model
aVtonomus is not built on the assumption that one specific AI model will always be better than the rest.
Long-term value should accumulate in the context of a specific business, the history of found opportunities, the history of decisions, market changes and the actual results of actions.
A moat is a lasting advantage that makes a product harder to replace or copy. This is long-term product architecture, not a claim that such an advantage is already proven.
- 01
Analysis
- 02
Recommendation
- 03
Action
- 04
Result
- 05
Learning
Open to a conversation with investors
aVtonomus looks at partners who share the potential of AI-native software and Decision Intelligence and can help not only with capital, but with experience scaling technology products and entering international markets.
A working product is already here. The next task is to accelerate commercial proof of the model and international growth.
The investment memorandum and additional materials are provided to potential investors on request.