Whoever sounds most certain wins
Decisions are made on experience and the mood in the room. No one can say what the buyer would actually think.
Synthetic, source-backed profiles of Swedish decision-makers, from the CEO and CFO to the head of sales, head of marketing, head of HR and venture capital investor. The library grows with new roles and buying situations. Paste in a quote, a message or a pitch. See what convinces, what stops the deal and what the answer is based on.
Weighs total cost, business value and delivery when an offer is to become an investment decision.
Swedish company · 50 to 199 employeesFrom the profile sheet in Svava.
You have already heard them, and have the answers ready.
Click and see what the profile is based on, with population and year.
Not weeks of interviews to understand a buyer.
The person writing the quote or leading the meeting rarely has access to what the organisation actually knows about the buyer. So things go the way they usually do.
Decisions are made on experience and the mood in the room. No one can say what the buyer would actually think.
Surveys and charts that need an analyst to make sense. By the time the interpretation arrives, the quote has already been sent.
What the organisation knows about its buyers sits with a couple of specialists, and never reaches the salesperson before the meeting.
Paste in the text and ask two profiles separately. The difference between the answers shows what the material needs to handle.
The quote or sales page is read by the person who will use the solution and the person who will pay for it. You see which two objections you have to address.
Campaign message or landing page. One sees the practical benefit, the other the business value. You choose the improvement that matters most.
The pitch is read by an investor looking for early-stage companies. You find out what is already clear and what it takes to get a second meeting.
Weighs total cost, business value and delivery when an offer is to become an investment decision.
Swedish company · 50 to 199 employeesSelected for the profile, supported by the source material.
In Svava you open each priority and see the source material, with source, population and year.
An in-depth profile builds on a role and adds source material about a specific buying situation. It answers as the person who will actually make that particular decision.
Weighs employee benefit, cost and administration when the company considers corporate travel cards, season tickets, a bicycle benefit or a combined mobility service.
Public transport, bicycle benefits or mobility services. Test the offer against the person who will introduce it and pay for it.
Book a walkthrough →Automated invoice handling that saves ten hours a week. SEK 130,000 in the first year.
“I say no to a contract now, but I am open to moving forward if the benefit can be substantiated. The seller’s promise of time saved is not a verified effect. What would change my decision is hard figures on the time we spend today.”
Constructed offer. The answer is abridged from a test conversation with the profile.
An ordinary AI cannot point to why it answers the way it does. Svava’s profiles are built on reviewed sources about how the role makes decisions, and you can open them.
Every data point shows who the survey covered and when.
Every answer is reviewed before you see it, so that the profile does not make up amounts, rules or mandates. If the information is missing, it asks a question instead.
New sources and data points are added and reviewed. The profiles get sharper over time.
In Deloitte and SEB’s Swedish spring 2026 sample, cost reduction is the top priority.
In PwC’s Swedish CFO sample for 2026, 59 per cent report high confidence in AI in key processes.
Published sources that the profiles are built on. Not partnerships or customers.
We are inviting a small number of startups to test their pitch against the profile of a Swedish venture capital investor. You find out what is already clear, what it takes to get a second meeting and what you should send afterwards. In return, you tell us how it went.
“I am happy to take a first exploratory meeting. My main objection is that the pilots have not yet shown verified time savings or willingness to pay.”
The library is the starting point. Then the profiles become your own, with in-depth additions for your market, your buyers’ voices and your data.
Decision-makers grounded in surveys about how the roles make decisions.
For example the employer assessing commuting and mobility benefits, with its own source-backed material.
Your real buyers are interviewed by voice. Their reasons and objections become part of the profile.
Won and lost deals and meeting notes make the profile more like your particular buyers.
An agent that has only been trained on your documents knows how you talk, but not how the customer receives it. The profiles become the agent’s test audience and advisers.
Run the agent’s conversations against the profiles. See where the tone grates and where the customer gives up.
Run the same profiles again and see whether the change turned out better for those who will meet it.
Via MCP the agent asks the profile before it answers. The customer perspective is there even when no human is watching.
Enter your web address. Svava suggests which buyers, decision-makers and influencers you should be able to ask.
We only read the public page you enter. The suggestions are produced by an AI model and are a starting point, not a profile sheet.
A quote, a message or a pitch. We test it against two profiles right there in the meeting and show what the answers are based on. 30 minutes. No sales slides.