The insights you need for that competitive edge; in record-time.Fast. Objective. Scalable.BrainBridge is an AI Start-Up delivering fast, objective and scalable insights. We transform complex data into actionable intelligence, helping leaders make data-driven decisions, predict risks, and achieve growth. Whether you’re a research organization or a business navigating uncertainty, our solutions deliver results with speed, clarity and objectivity – granting you the edge over traditional surveying.Find out more about what we do ->
Brainbridge Solutions LTD. Appleby Court Adenmore Road, London, England, SE6 4EJ. Company number 15227437
How Can We Help?
BrainBridge is here to help you navigate risk, maximize opportunities, and become more resilient. We leverage topic modelling and sentiment analysis - methods utilized by global players - to bring you the competitive edge you're after, through the following workflow:
1. BriefClient outlines a query for investigation in a discussion with us, often in reference to a pain point, or in pursuit of valuable intel. For example, a telecom company wanting to know their customers’ thoughts on data packages.
2. Data ExtractionWe extract publicly available data, plus any data supplied by client, if available, to build a database.
3. Insight GenerationWe optimize our algorithms to client’s needs, and produce insights, tailored to the clients needs and market.
4. ReportWe deliver the bespoke intelligence to client, helping them gain competitive advantage.
Why Brainbridge and Not Traditional Methods?
While traditional surveys suffer from long lead times and risk of biased answers to leading questions, our methods deliver objective and scalable insights, and fast.
Here is a breakdown:
| . | Traditional Surveys | BrainBridge |
|---|---|---|
| Sample Size | Thousands of Data Points | Up to Millions of Data Points |
| Lead Time | Weeks | 48 Hours |
| Bias | Possibly Yes | No |
Methods Verified by Giants
Topic Modelling and Sentiment Analysis are methods already heavily utilized by big players; below are some examples.
We bring the same methods, hence the same competitive edge, to you.
Used Sentiment Analysis on data extracted from Twitter to yield 158% annual return, in contrast to only 4% return with an index ETF.
Bloomberg describes Sentiment Analysis as “improves strategy performance significantly”.
Microsoft utilized Sentiment Analysis on user reviews across support forums and Reddit to identify top pain points in Windows 11. This revealed issues regarding software compatibility, taskbar annoyances, and missing features.
This user Sentiment Analysis helped Microsoft prioritize fixes and enhancements for Windows 11 updates.
Google applies Topic Modeling to analyze search queries and user content across its vast ecosystem. By identifying trending topics and user interests, Google refines its search algorithms, enhances ad targeting, and improves content recommendations.
This has bolstered Google’s dominance in search and advertising by ensuring its services remain highly relevant to user needs.
About BrainBridge
Behind BrainBridge is a team of experts, sharing a vision of helping businesses and institutions gain more knowledge and make better decisions, with the help of our methods. We provide intelligence that informs critical decision-making and strategies, turning complex data into actionable insights; make your business more responsive to its customers' needs and more resilient to market and political movements.
Case Studies
Pick an Industry:
Telecom Case Study: Mobile Phone Packages (Tariffs) in Cyprus
We were asked by KKTCELL, the Turkish Republic of Northern Cyprus (TRNC) branch of Turkish telecom giant Turkcell, to investigate customers' opinions on their mobile packages (tariffs).We searched social media and other websites, such as an official complaints page, and extracted customers' views on KKTCELL's packages and on KKTCELL in general. We fed this data our algorithm to reveal popular topics of discussion around mobile packages amongst KKTCELL customers.
What KKTCELL customers are saying
Opportunity:The features included in packages (e.g., SMS, data, minutes) can be advertised more prominently or reconfigured according to patterns of usage. This would help ease consumers' concerns about being unfairly charged or paying for unused features.
What KKTCELL customers are saying
Opportunity:There seem to be a significant portion of refund/cancellation requests, and customers are wishing that matters are address promptly. Therefore, Refund and customer service channels can be improved. By using an AI chatbot, faster and more satisfactory service can be provided to customers, gaining an advantage over competitor companies.
We were also asked to investigate how KKTCELL can gain a competitive advantage over its main competitor, Telsim, in the current (March 2025) price war. Hence, we ran the same analysis for Telsim, to gain an insight on what their customers are saying, to offer KKTCELL more knowledge and therefore, help them navigate the situation.For context: KKTCELL and Telsim dominate the TRNC telecom market, with KKTCELL having the larger market share.
What Telsim's (the competitor's) customers are saying
What can KKTCELL do?KKTCELL's advertising campaigns can emphasize that unused services will not be charged, or that any unfair charges will be promptly refunded. Since Telsim customers complain about this, this might attract their attention, while helping retain KKTCELL's existing customers.Suggested price war strategy:
Quality > PriceKKTCELL can gain a competitive advantage by offering high-quality packages and services tailored to customer needs instead of lowering prices. Research shows that customers frequently request refunds and complain about paying for unused services. Therefore, KKTCELL can rely on its larger market share and offer a better quality service, while also addressing Telsim's customers' issues, and keep the same prices.
Electric Cars Case Study: The Rise of BYD Electric Cars in the UK
We wanted to investigate why Chinese electric cars are taking over the UK market and outperforming Tesla.We analysed the top 50 most popular YouTube videos and top 20 comments from each (~1000 people) to uncover the popular topics around BYD and how people feel about them.
Opportunity for EV makers:
When advertising EVs in the UK market, emphasizing battery, interiors and quality can target UK consumers more effectively, potentially increasing market share.
Opportunities for EV makers:
Position your company as friendly to the UK, to reassure against concerns over national security.Emphasize that EV purchases will be subsidized through means such as marketing campaigns, in-store price tags, and brand websites.
Political / Econ. Case Study: Tariffs Imposed by Trump, 2025
Understanding the president’s constituency means understanding the president.We searched the “AskTrumpSupporters” Reddit Community (95,000+ members) for the keyword “tariff” and extracted the top 100 posts and their comments (~9500 comments). Next, we put this data into our algorithm to reveal popular topics of discussion around tariffs amongst Trump supporters.
Opportunity for Canadian policymakers:
Run a media campaign targeting Trump supporters, that emphasises measures taken against drug trafficking.
Potential risks:Supply chain delays, rise in production costs, decrease in profit margins.Value:Had policymakers used these insights, they could have adjusted messaging to shift public perception before tariffs were imposed.
Counter-Terrorism Case Study: Predicting ISIS Targeting Through Linguistic Analysis of Al-Naba Newsletter
Brainbridge collaborated with researchers to analyze the predictive power of ISIS’s public newsletter, Al-Naba, in identifying potential targets of terrorist attacks between 2015 and 2019.
A total of 316 issues of Al-Naba, from October 2015 to September 2021, were analyzed using Natural Language Processing (NLP) and Machine Learning techniques (all of which is now at Brainbridge's disposal).
The analysis revealed prominent topics in the newsletter issues and calculated the topics' correlations with actual ISIS attacks that happened. Some of the prominent topics were grouped into "Threats to Local Groups", "Unreachable Enemies" and "Religious Topics" in the graph below.
What does this graph say?The graph categorizes revealed topics into 3 classes: threats to local groups, unreachable enemies and religious topics (x axis). The y axis indicates the correlation of these topics to actual ISIS attacks, as a percentage, where 100% indicated perfect correlation. The graph indicates that while "Unreachable Enemies" and "Religious Topics" were negatively correlated with attacks, "Threats to Local Groups" were positively correlated with actual attacks.Main Findings:
> Analysis of text in Al-Naba about reachable groups (e.g., Alawites, Shias, Kurds) strongly predicted ISIS attacks, including correlations above 80%.
> Analysis of text regarding religious or distant enemies (e.g., Western nations) showed little to no link to attacks.
Diving deeper into what these topics were, and their meaning in the context of this study, revealed valuable insights into the motive behind ISIS attacks. The graph below lists some of the topics listed under each group.
Main Findings:> Threats to local groups, which comprises use of words indicating threat with Christians, Shias, Kurds (and more) are most highly and positively correlated with actual ISIS attacks.> Topics concerning religion and unreachable enemies indicate negative and less significant correlation with ISIS attacks.> This indicates that fear, not hatred or religion, drives ISIS targeting. This can offer actionable insights for security strategies.
Opportunities and Implications:
> Brainbridge’s NLP-driven approach enables governments to proactively identify and mitigate terrorist threats by analyzing public texts, enhancing security without invasive methods.
> Businesses operating in high-risk regions can leverage these insights to assess risks, protect assets, and ensure employee safety through data-driven threat forecasting.
> NGOs can use Brainbridge’s predictive analytics to support conflict prevention and humanitarian efforts, targeting interventions where threats are most likely to emerge.This case study demonstrates Brainbridge’s capability to apply advanced NLP and machine learning techniques to analyze complex textual data, providing actionable insights for governments and security agencies to anticipate and mitigate terrorist threats effectively.
Meet the Leadership
Meet Dr. Talip Al-Khayer, Our founder and director, with a PhD from the University of Bath and a profound expertise in political science and conflict studies. His pioneering work applies Machine Learning and Natural Language Processing to extremist rhetoric, with notable analyses like ISIS’s "Al-Naba" publication, showcasing AI's predictive prowess. His drive to merge AI with research has evolved from academic inquiry to practical applications, contributing to significant projects like KnowWar at the University of Vienna and XCEPT with UK AID.
Meet Professor Timo Kivimäki, A distinguished authority in International Relations with prestigious roles at the University of Bath and the Sejong Institute. His academic excellence, highlighted by positions at Helsinki and Copenhagen, complements a career rich in conflict resolution and peace studies. Prof. Kivimäki's expertise is not just theoretical; his consultancy with the UN, EU, and various governments showcases a practical application of his insights into preventing conflict and terrorism.
Meet Dr. Doğu Zaifoğlu, our Software & Data Visualisation Engineer, with a PhD in Mechanical Engineering from the University of Bath. His research introduced novel intra-operative medical ultrasound methods in a simulation-driven investigation, contributing to advancements in surgical technology. With expertise in programming and visualisation of complex datasets, Doğu excels at turning sophisticated data into actionable insights.
Meet Amr Mashlah, a machine learning engineer with a Master's in Artificial Intelligence, who has spearheaded the development of AI-driven solutions for startups over the past seven years. Specializing in computer vision, recommender systems, and generative AI.
An adept AI engineer and the founder of Patterned.ai. Amr’s impressive track record is adorned with the creation and scaling of startups, pioneering in the fields of generative AI, recommender systems, and computer vision.
Meet Dr. Haian Dukhan, is our esteemed political science expert, specializing in the subtle undercurrents of Middle Eastern politics. His scholarly work offers deep dives into the complex interplay of tribal and state dynamics within regional conflicts. Dr. Dukhan's academic prowess is further enriched by his educational contributions in politics and international relations. At the forefront of integrating AI with social science, Dr. Dukhan equips leaders with advanced tools for navigating political risks and unlocking market potential.