Zefram comes from Stealth – The future of negotiations


Welcome to the future of negotiations.

In negotiations, humans are likely to make long-term errors due to a number of factors such as stress, insecurity, or fear of rejection. When it comes to utilizing data, let’s face it, humans are not naturally great. The average short-term memory of a human being can only carry five things simultaneously, and for example, a rapid calculation is impossible. While these can be overcome with the help of computers, there is one main reason why computers are not invited into negotiations – natural language.

The Golden Era for computer-assisted negotiations

In the future, there will be no conflict or misinterpretation of facts when we talk to strangers. We believe computers will work as advisors that have all the necessary information for a successful negotiation due to efficiently analysing data sets as large, as everything is ever written. However, humans will remain as decision-makers for a good reason. Unlike computers, they experience desire, a dominant factor in decisions. The rapid development of NLP technology has created a Golden Era, where computers are invited to join human-to-human negotiations. 

In the golden era, sales processes are more efficient than ever before.

Identifying valuable conversations

The increasing help of technology will improve the quality of human interactions and yield value from conversations in multiple ways. The very same technological leap that is needed to guide negotiations will enable us to simulate them. By simulating negotiations and predicting the end result, we can also know beforehand whether the negotiation is worth our time. For example, in a sales situation, we would only enter negotiations in which the following conditions are met:

• The counterpart has a need for our offering
• The counterpart has the necessary resources to purchase our offering
• We can express that our offering meets and exceeds the expectations within the market

Let’s take a look at an example of successful negotiation:

Computers hold valuable data to enhance human negotiations.

At Zefram, we already have taken the first steps in our journey toward our ‘Grand Vision’. We want to fulfill the vision in a financially feasible way by initially entering the most addressable markets. These markets include those in which valuable conversations are continuously entered and progressed in large quantities every day. Some examples include leasable office spaces, insurance plans, and electric vehicles.

Within our operating markets, we are continuously analysing companies and building the strongest of arguments to guide negotiations. By connecting the strongest candidates with the most suitable offering in the marketplace, we are creating superior conditions for successful negotiations. While doing so, we are also ensuring that our technology remains as scalable as possible for future expansion.

Our journey begins with a single negotiation type:

Me: I would like to negotiate a new rental agreement for my currently vacant office space. Could you help me?

Computer: Sure thing. I’ll analyze all the leases from the past 30 years to find the best tenant for your office who will likely stay for five years.

Me: Thanks, sounds good.

Computer: I’ve processed your data and found 56 potential candidates to move into your premises this year. The top candidate is ‘Sam’s IT Software Inc’ with a 35.6% probability of accepting the ideal terms. They recently secured €4.8M in Series A funding and posted three software developer job openings on their website in the last two weeks. Would you like to contact CEO Sam Wright?

Me: Yes.

Computer: Great, here’s what you should say to CEO Sam via LinkedIn:

Hi Sam!
Congratulations on your latest funding news! Nicely done after only 23 months of existence. I wanted to ask whether you are looking for a new office to fit your team and all the additions you are currently hiring?

I would love to have an opportunity to show you this beautiful vacant space only a 3-minute walk away from Main St. 200. The last tenant had a similar background to Sam’s IT Software and now they are moving into a bigger space. You might actually know them, they are Lisa’s Robots Inc.

So what do you think, would you like to come and have a look, say next week?

Computer: Is this message okay for you?

Me: Yes.