Bridgewise’s Co-Founder and Chief Business Officer, Dor Eligula, believes that the “financial services industry remains far behind” when it comes to personalised artificial intelligence (AI) chatbots, while introducing an updated version of Bridget, the company’s AI-based market analysis chat solution, targeted for the global CFDs brokers.
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Improving the “CAC–LTV Equation”
“Capital markets are probably the most crowded when it comes to data,” Eligula said. “They’re extremely competitive on one hand, and overwhelmingly crowded on the other. That’s where AI can make a real difference.”
“From a broker’s perspective, the industry is fiercely competitive. Differentiation is critical. There’s also the CAC–LTV equation: customer acquisition costs are rising due to competition, while lifetime value remains limited. By integrating tools like those we build at Bridgewise, brokers can extend LTV significantly—not just by attracting more clients but, more importantly, by improving client satisfaction.”
With the updated Bridget solution, the company also aims to target contracts for differences (CFDs) brokers. It will be a part of Bridgewise’s broad product suite, which includes solutions such as AltWise, SignalWise, and StockWise.
AltWise is a new product offering customizable widgets offering deep coverage of
alternative asset classes, including crypto, forex, and commodities.
A screenshot of Bridget
Bridgewise currently has about 80 clients using its solutions.
“CFD brokers serve retail clients who often have a more limited understanding of the markets compared with institutional or more experienced traders,” Eligula added. “That’s exactly where AI can play a major role, as I mentioned earlier.”
“Most of these brokers operate globally, across multiple jurisdictions and regions. Bridgewise’s ability to deliver solutions in every language positions us as a turnkey partner. From both a product and a localisation perspective, we can support brokers who need to serve clients in Japanese, Arabic, German, Portuguese, or any other language—all through a single vendor and a unified solution.”
Read more: “The Stock Research Market Is Broken and Highly Concentrated”
“We’ve Built Our Own Models and Control the Entire Value Chain”
However, Bridgewise is not the only company to bring an AI-based solution for brokers. Its local competitor TipRanks, along with many other tech providers, also offers an AI-based stock analysis tool.
Counting the advantages of Bridget over the competitors, Eligula said: “We cover almost every asset class—stocks, funds, crypto, FX, commodities—giving brokers and their clients a very broad universe of analysis.” He further added that the tool from his company “delivers the same depth of analysis in any language”, which is essential for global CFDs brokers.
“We have a multi-channel approach,” he added. “We provide in-app widgets and embedded analysis tools, so users can access insights right where they trade.”
Furthermore, Bridgewise “invested heavily in compliance and accuracy,” according to its Chief Business Officer. “Hallucinations are a major problem in finance. Bridgewise avoids this because we’ve built our own models and control the entire value chain, instead of relying on GPT, Gemini, or other external systems. That allows us to reduce hallucinations essentially to zero, which is vital in this industry.”
Eligula revealed that a team of 20 people developed Bridget, working seven months on the project.
The company has a total headcount between 120 and 130 and is planning to grow to between 150 and 160 by the end of the year.
Bridgewise also explained that they have developed their native Small Language Model (SLM, not a Large Language Model [LLM]), which covers only the capital markets. “We only use whitelisted, best-in-class vendors to train our model,” Eligula elaborated. “On top of that, we build and enrich our own datasets to ensure reliability.”
“When we founded the company five years ago, we actually started by writing market analysis the traditional way—by hand. Those texts became the initial training data for our engine. That history is important: it means our models are built on original data, which helps us protect our intellectual property. We don’t rely on external codebases, which is a major issue today.”
Read more on AI:
“Around 300,000 Clients Are Exposed to Our Product in a Pilot Test”
Eligula further said that the Bridget tool can even handle brokerage-specific questions, which the company added to the initial version of the tool after receiving requests from one of its brokerage clients.
“Instead of calling the support team, clients can simply ask Bridget,” he said. “It creates a holistic AI chat solution—covering everything from market analysis to customer support.”
According to Bridgewise, it has already rolled out Bridget under pilot, but did not reveal the name of the broker(s).
“In one specific use case, the broker had around 300,000 clients exposed to our product in a pilot test,” Eligula said. “They split them into two groups of 150,000 for an A/B test. As far as I know—though I haven’t seen the very latest numbers due to the holidays—between 70% and 80% of those clients were using the product on a weekly basis.”
“Even more telling, the test group that had access to our tools was trading roughly 20% to 30% more than the control group. That’s the real value—for both the end user and the broker.”
Bridgewise’s Co-Founder and Chief Business Officer, Dor Eligula, believes that the “financial services industry remains far behind” when it comes to personalised artificial intelligence (AI) chatbots, while introducing an updated version of Bridget, the company’s AI-based market analysis chat solution, targeted for the global CFDs brokers.
Join IG, CMC, and Robinhood in London’s leading trading industry event!
Improving the “CAC–LTV Equation”
“Capital markets are probably the most crowded when it comes to data,” Eligula said. “They’re extremely competitive on one hand, and overwhelmingly crowded on the other. That’s where AI can make a real difference.”
“From a broker’s perspective, the industry is fiercely competitive. Differentiation is critical. There’s also the CAC–LTV equation: customer acquisition costs are rising due to competition, while lifetime value remains limited. By integrating tools like those we build at Bridgewise, brokers can extend LTV significantly—not just by attracting more clients but, more importantly, by improving client satisfaction.”
With the updated Bridget solution, the company also aims to target contracts for differences (CFDs) brokers. It will be a part of Bridgewise’s broad product suite, which includes solutions such as AltWise, SignalWise, and StockWise.
AltWise is a new product offering customizable widgets offering deep coverage of
alternative asset classes, including crypto, forex, and commodities.
A screenshot of Bridget
Bridgewise currently has about 80 clients using its solutions.
“CFD brokers serve retail clients who often have a more limited understanding of the markets compared with institutional or more experienced traders,” Eligula added. “That’s exactly where AI can play a major role, as I mentioned earlier.”
“Most of these brokers operate globally, across multiple jurisdictions and regions. Bridgewise’s ability to deliver solutions in every language positions us as a turnkey partner. From both a product and a localisation perspective, we can support brokers who need to serve clients in Japanese, Arabic, German, Portuguese, or any other language—all through a single vendor and a unified solution.”
Read more: “The Stock Research Market Is Broken and Highly Concentrated”
“We’ve Built Our Own Models and Control the Entire Value Chain”
However, Bridgewise is not the only company to bring an AI-based solution for brokers. Its local competitor TipRanks, along with many other tech providers, also offers an AI-based stock analysis tool.
Counting the advantages of Bridget over the competitors, Eligula said: “We cover almost every asset class—stocks, funds, crypto, FX, commodities—giving brokers and their clients a very broad universe of analysis.” He further added that the tool from his company “delivers the same depth of analysis in any language”, which is essential for global CFDs brokers.
“We have a multi-channel approach,” he added. “We provide in-app widgets and embedded analysis tools, so users can access insights right where they trade.”
Furthermore, Bridgewise “invested heavily in compliance and accuracy,” according to its Chief Business Officer. “Hallucinations are a major problem in finance. Bridgewise avoids this because we’ve built our own models and control the entire value chain, instead of relying on GPT, Gemini, or other external systems. That allows us to reduce hallucinations essentially to zero, which is vital in this industry.”
Eligula revealed that a team of 20 people developed Bridget, working seven months on the project.
The company has a total headcount between 120 and 130 and is planning to grow to between 150 and 160 by the end of the year.
Bridgewise also explained that they have developed their native Small Language Model (SLM, not a Large Language Model [LLM]), which covers only the capital markets. “We only use whitelisted, best-in-class vendors to train our model,” Eligula elaborated. “On top of that, we build and enrich our own datasets to ensure reliability.”
“When we founded the company five years ago, we actually started by writing market analysis the traditional way—by hand. Those texts became the initial training data for our engine. That history is important: it means our models are built on original data, which helps us protect our intellectual property. We don’t rely on external codebases, which is a major issue today.”
Read more on AI:
“Around 300,000 Clients Are Exposed to Our Product in a Pilot Test”
Eligula further said that the Bridget tool can even handle brokerage-specific questions, which the company added to the initial version of the tool after receiving requests from one of its brokerage clients.
“Instead of calling the support team, clients can simply ask Bridget,” he said. “It creates a holistic AI chat solution—covering everything from market analysis to customer support.”
According to Bridgewise, it has already rolled out Bridget under pilot, but did not reveal the name of the broker(s).
“In one specific use case, the broker had around 300,000 clients exposed to our product in a pilot test,” Eligula said. “They split them into two groups of 150,000 for an A/B test. As far as I know—though I haven’t seen the very latest numbers due to the holidays—between 70% and 80% of those clients were using the product on a weekly basis.”
“Even more telling, the test group that had access to our tools was trading roughly 20% to 30% more than the control group. That’s the real value—for both the end user and the broker.”
