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Speqta CEO Fredrik Lindros Teaches Us How to Say No to Black Box Bidding on PLAs with Their New AI-Based Bid-Optimization Tool Bidbrain™

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Stand out from the crowd by investing in Speqta’s new SaaS tool, Bidbrain™! An AI-based solution for Google Shopping ads that specializes in bid optimization. Developed specifically for the e-commerce industry and dedicated to getting you ahead of the competition by optimizing your Product List Ads (PLAs.)

In the interview below with Speqta’s CEO, Fredrik Lindros, learn more about this smart new tool and how you can bid more confidently and feel more secure about your businesses’ growth.

Please tell us something that not everyone knows about yourself!

Fredrik Lindros: I’ve always been personally driven by innovation and change, obsessed as I was over sci-fi shows like Star Trek and Battlestar Galactica, both of which instilled upon me an acceptance and an inclination towards new technology and innovation. .

As for my passion for being equally strategic and creative, I have my time as a magician to thank for that. Unorthodox, yes! But I did, in fact, work as a professional magician some time ago. And, after working odd gigs at kindergartens, company gatherings, and various other stages, I developed skills that would later show itself in my business work as a talent for presentation, communication, and marketing.

And how do you usually start your days? (Are you a proactive or reactive type?)

Fredrik Lindros: I would say that I am a bit of both. I have a very particular schedule that I follow to the ‘T’ most days as a result of my waking habits. But, I’m flexible enough that I can deal with the unexpected when they come.

More specifically, every day, I wake up while the rest of my family is still asleep. Usually in the time between 4 AM and 5 AM. I start things off with a cup of coffee and then work entirely at home until it’s time to go to the office to catch up with whoever is there for the day — we’ve done a lot of juggling to account for the global pandemic, but the work must go on.

The rest of the workday is spent hosting meetings, regularly communicating with others through email or Slack, and just working as efficiently as possible so that I can go back home and spend time with my children before the day ends and the routine starts anew.

Please introduce Bidbrain™! What is it? And, how can we use it?

Fredrik Lindros: In short. Bidbrain™ is a SaaS solution outfitted with both artificial intelligence and machine learning. We at Speqta developed it for the e-commerce industry to use for optimizing bids for Google Shopping Ads.

How would you say Bidbrain™ compares to manually bidding on PLAs?

Fredrik Lindros: E-retailers that show a preference over manual rule-based bidding on Google PLAs usually prize control over their bidding strategies. After all, at least then, they won’t have to suffer through Google’s automated black-box bidding strategies.

However, the main issue with manually bidding on PLAs, at least, when compared to BidBrain™, is that it just cannot beat the kind of results that you can achieve with an AI-based system. There’s no question there. Bidbrain not only optimizes your bidding strategies to receive the best outcomes, but it is also capable of product feed optimization in order to increase the quality score of your PLAs. Furthermore, all you need to do to keep it working is to continue feeding it data in order to fuel its intelligence.

I know that there are many e-retailers out there that are reluctant to use new technology like this. But, there’s no denying that compared to those who work manually, those who use AI-based optimization tools like Bidbrain, in the long-run, will always win over their competition.That’s just how technology advances.

How about those e-retailers that already use the automated bidding tools provided by Google? What kind of benefits would Bidbrain™ offer to them?

Fredrik Lindros: One thing that we addressed during the creation of Bidbrain is transparency. Many online retailers that use Google’s own tools can never be fully confident that the program is working for them at 100%. In fact, if you dissect the bids made by Google’s Target-ROAS or Smart Shopping, you’ll find that they are extremely high CPC-bids worth around 30-50 Euros each that result in very few conversions. 

As a retailer, it’s just hard to feel secure with such black box bidding methods. Which is where Bidbrain™ comes in. Unlike Google’s tools, Bidbrain was designed to reveal all data. So, e-retailers will always know where their bids are going, and they can rest easy knowing that the AI is 100% on their side. All while enjoying the extra functionalities provided by our sophisticated product feed optimization tools, the helpful insights given for future campaigns, and so on.

What advice would you give to fellow business owners looking to release their own products?

Fredrik Lindros: Bidbrain™ was only developed to be as dynamic and as insightful as it is today with communication. And so, my advice to fellow business owners is simple: communicate. Talk to your team, talk to your key customers, just talk. 

As a team, we got to know exactly what our customers were looking for and why they were looking for certain things. And this would not have been possible if our work environment had not been conducive to open dialogue. A significant portion of the developmental process of our service also involved just talking directly with our customers. It wouldn’t be a stretch to say that these key customers more or less designed Bidbrain together with us. So, the more open you are to understanding the opinions of others, the better.

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

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Business

Click for Counsel: YesLawyer Wants to Make Lawyers as Accessible as Wi-Fi

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Photo Courtesy of: YesLawyer

Byline: Andi Stark

For many people facing a legal problem, the most difficult part is not understanding their rights but finding a lawyer willing to speak with them in the first place. Long wait times, unclear pricing, and administrative hurdles often delay even the most basic consultations. YesLawyer, an AI-enabled plaintiff firm operating across all 50 states, is testing whether technology can shorten that gap.

Founded in 2024 by 25-year-old entrepreneur Rob Epstein, the platform offers free intake, automated screening, and, in many cases, same-day conversations with licensed attorneys. The idea is simple: reduce the friction between a client’s first request for help and an actual legal discussion. In this interview, Epstein explains how the system works, where artificial intelligence fits into the process, and what problems the company is trying to address in the broader legal system

Q: When you say you want lawyers to be “as accessible as Wi-Fi,” what does that mean in practical terms?

A: It’s a way of describing speed and availability. Someone dealing with a workplace dispute, a serious injury, or an immigration issue should be able to move from an online form or phone call to a real conversation with counsel in hours, not weeks. YesLawyer is structured so that a client begins with a free case evaluation, goes through automated conflict checks and basic screening, and, in many instances, speaks with a lawyer the same day.

Q: How does the process work once someone contacts the platform?

A: We use a structured workflow. It starts with a short questionnaire and an initial conversation to capture basic facts. That information feeds into conflict checks and internal review. The system then proposes a match with a licensed attorney and provides a calendar link for a virtual consultation, often within 24 hours. After the meeting, the client receives a written legal plan outlining next steps, deadlines, and estimated fees.

Q: Where does artificial intelligence fit into that process, and where does it stop?

A: AI is used for organizing and routing information, not for giving legal advice. It helps with conflict checks at scale, case categorization, and structured summaries so attorneys can focus on the substance of the matter. Every consultation is conducted by a licensed lawyer, and all decisions about strategy or next steps are made by humans.

Q: What problem is this model trying to solve in the current legal system?

A: Delay and cost are still major barriers. Many civil plaintiffs face long waits just to get a first appointment, along with high retainers and hourly billing that make early legal advice risky. We try to respond with faster consultations, flat-fee options, and financing. The idea is to remove administrative friction so lawyers spend less time on logistics and more time speaking with clients.

Q: Some critics say platforms like this blur the line between a technology company and a law firm. How do you describe YesLawyer?

A: We describe ourselves as a national, AI-enabled plaintiff firm that connects clients with independent attorneys. That structure does raise regulatory questions, especially around responsibility and oversight. We focus on licensing verification, attorney-written case plans, and clear communication about fees and services.

Q: You’ve said the main bottleneck is “systems” rather than people. What do you mean by that?

A: The issue isn’t that lawyers don’t want to help more people. It’s that the systems around them make it hard to scale their time. Intake, scheduling, and document handling take hours. Automating those parts means attorneys can handle more matters without being overwhelmed by repetitive tasks.

Q: Does this model risk favoring only the most profitable cases?

A: That’s a real concern in legal technology. Automation often works best for repeatable, high-volume disputes. Our view is that lowering administrative cost can actually make it easier to take on smaller or more complex cases that might otherwise be turned away. Whether that holds over time depends on the data.

Measuring Impact Over Time

YesLawyer’s attempt to compress the timeline between inquiry and consultation reflects broader changes in how legal services are being delivered. As artificial intelligence becomes more common in administrative work, firms are experimenting with new ways to reduce wait times and clarify costs.

The company’s early growth suggests that many clients value faster access to an initial conversation, even before considering long-term representation. Whether this platform-based model becomes widely adopted or remains one of several emerging approaches will depend on regulatory developments, lawyer participation, and measurable outcomes for clients. For now, YesLawyer’s experiment highlights a central question in modern legal practice: how quickly can help realistically be made available to the people who need it.

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