AI Platform Revolutionizing Healthcare Insights

AI Platform Revolutionizing Healthcare Insights

A UK healthcare market intelligence company partnered with Dataforest to drive digital transformation. We developed an AI-powered enterprise management platform that automated core processes such as data collection and report generation with deep analytical insights. With dynamic web scraping, AI-based deduplication, and GenAI data enrichment, the solution cut 9,600+ manual hours monthly and doubled productivity—delivering significant operational gains.

Pharma

Digital Transformation

Business process automation

Pharma

Digital Transformation

Business process automation

9,600+

hours/month of manual work eliminated

2x

increase in overall productivity

About the client

Solici is the strategic competitive intelligence division of Cambridge Healthcare Research, based in the UK. It delivers critical strategic insights to pharmaceutical, biotech, and healthcare organizations worldwide. By tracking trends, regulations, and scientific breakthroughs, their team of experienced analysts helps organizations anticipate change and make smarter decisions in an evolving industry landscape.

Tech stack

Langchain

OpenAI

RAG

Python

Django Admin

The client's needs

To support their business transformation, Solici sought an advanced web platform to automate critical processes such as data collection, preparation, and report generation. Their vision was to embrace digital transformation, driving operational efficiency and revenue growth. The focus was on automating key workflows, ensuring data integrity, and enabling seamless collaboration across teams—all while maintaining the highest security standards.

Challenges & solutions

Challenge

Solici's analysts were spending valuable time manually collecting data from various sources—drug news, releases, research papers, social media, industry websites and historical data. This labor-intensive process not only slowed down operations but was also prone to errors.

Solution

We implemented an automated data collection solution using dynamic web scraping, seamlessly monitoring over 200 sources with a 10% monthly growth rate. The platform allows users to prioritize sources based on their needs. This solution eliminated the need for manual research, significantly boosting both data speed and accuracy. The system now tracks new content in real time, ensuring that the client has the most up-to-date insights at their fingertips.

Challenge

Duplicate content and repetitive information were clogging Solici’s data pipelines forcing analysts to waste time manually filtering results—slowing down crucial business processes.

Solution

We developed a dynamic deduplication engine that automatically filters out duplicates and redundant content. With customizable keyword similarity thresholds, the system delivers clean, actionable data that accelerates decision-making and streamlines business workflows. This solution not only enhances data quality but also reduces analyst workload, empowering Solici to move faster and more efficiently.

Challenge

Solici needed more than just raw data—they required enriched, historical, and forward-looking analytical reports to deliver actionable insights to their clients. The manual process of analyzing data and creating detailed reports was extremely time-consuming, making it a bottleneck in their core operations.

Solution

By leveraging GenAI, we transformed raw data into enriched, context-aware intelligence. This automation streamlined the creation of in-depth reports, alerts, and summaries—previously a complex, multi-step manual task. The solution significantly accelerated report generation, which is central to the company’s success, driving operational efficiency and increasing revenue by providing faster, more actionable insights to Solici’s clients.

Challenge

Fragmented client communications and report histories were spread across emails ( Microsoft Outlook) and SharePoint folders, making it challenging to access historical data efficiently.

Solution

We seamlessly integrated and reorganized all historical communications and reporting data, creating a unified, searchable, and structured repository within the platform. This streamlined access improved workflow efficiency and empowered teams to find vital information quickly, enhancing decision-making and productivity.

Challenge

Dynamic project requirements and frequent task changes added complexity to project execution.

Solution

We adopted an Agile delivery approach, emphasizing strong client communication to ensure flexibility, transparency, and a rapid response to evolving project needs. This approach empowered us to adapt quickly and maintain seamless execution, driving better client satisfaction and results.

Challenge

Without a centralized dashboard, the client struggled to gain real-time visibility into operational metrics, which slowed down strategic decision-making across teams.

Solution

We developed an executive-level web platform with a customized dashboard that empowers fast, data-driven decision-making. By consolidating key data streams into one unified interface, leadership can now act on insights in real time, enhancing operational agility and improving overall strategy.

Challenge

Solution

Challenge

Solution

Results

Dataforest played a key role in the digital transformation process for a UK-based healthcare market intelligence company. We developed an AI-powered platform that automated key workflows in data collection, enrichment & management, generating analytical reports, and providing actionable insights through executive-level dashboards.

Automated data collection from 200+ sources with dynamic, ongoing /web scraping, improving speed and insight quality.
Integrated a deduplication engine, reducing analyst workload and ensuring clean, actionable data.
Leveraged GenAI to enrich data streams, automating reports, alerts, and summaries generation tailored to Solici's clients' needs.
Integrated and reorganized all historical communications and reporting data, creating a unified, searchable, and structured repository within the platform.
Designed and implemented UI dashboards for effective business management, allowing Solici to make faster, data-driven decisions

‍

The web platform became an integral part of the client's business transformation, eliminating over 9,600 hours of manual work per month and doubling productivity, driving measurable improvements in their operations and ROI.

AI Platform Revolutionizing Healthcare Insights

Steps of providing
data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

How we provide data integration solutions

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

At this stage, we need to ensure that we understand the full scope of the project. We receive from you or perform a set of interviews and prepare the following documents: integration pipeline (which data we should get and where to upload), process logic (how system should work); use cases and acceptance criteria; solution architecture. Ultimately we make a project plan which we strictly follow.

Step 3 of 5

Solution development

At this stage, we build ETL pipelines and necessary APIs to automate the process. We attract our DevOps team to build the most efficient and scalable solution. Ending up with unit tests and quality assurance tests to ensure that the solution is working properly. Focus on Results is one of our core values as well.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we are expecting client’s participation in the project. While developing the integration system, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

Steps of providing web applications services

Step 1 of 7

Web development discovery

In the initial stage of the web-based development project, professional business analysts make detailed documentation of the project requirements and the approximate structure of the future web application. DATAFOREST is a custom web application development agency, guided by extensive experience in multiple industries. We give you detailed project documentation and then assemble the team according to your time and budget.

Step 2 of 7

UX and UI design

Based on your wishes, the needs of your target audience, and the best web application design and development practices, our UX and UI experts create an aesthetically pleasing and user-friendly interface for your app to satisfy even the most demanding users.

Step 3 of 7

Web-based application development

At DATAFOREST we are following the best programming design principles and approaches. Being a data engineering company, we build high load platforms, with a significant level of flexibility and result orientation. We keep our deadlines and follow SOC 2 compliance requirements.

Step 4 of 7

Integration

With DATAFOREST, integrating the application into your business won’t stop your processes for a minute. We provide seamless integration with your software infrastructure and ensure smooth operation in no time.

Step 5 of 7

Quality assurance

We use a multi-level quality assurance system to avoid any unforeseen issues. Working with DATAFOREST, you can be confident that your web app development service solutions arrive to the market polished and in full compliance with all certification requirements.

Step 6 of 7

24/7 support

Once a product is released to the market, it’s crucial to keep it running smoothly. That’s why our experts provide several models of post-release support to ensure application uptime and stable workflows, increasing user satisfaction.

Step 7 of 7

Web app continuous improvement

Every truly high-quality software product has to constantly evolve to keep up with the times. We understand this, and therefore we provide services for updating and refining our software, as well as introducing new features to meet the growing needs of your business and target audience.

The way we deal with your task and help achieve results

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.

Step 3 of 5

Solution development

The work starts with data gathering, data cleaning and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.

Step 4 of 5

Solution delivery

Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

The way we deal with your issue and achieve result

Free consultation

Step 1 of 5

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.

Depending on project objectives, DevOps activity requires auditing the current approach, running metrics measurement, performing monitoring and checking logs. By having a set of interviews, we ensure that we understand the full scope of the project. Ultimately we make a project plan which we strictly follow. We are a result-oriented DevOps service provider company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, our certified DevOps engineers refine the product backlog. We deliver great results within digital transformation, cost optimization, CI/CD setup, containerization, and, last but not least, monitoring and logging. We are a result focused company – it’s one of our core values.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Demand forecasting

We built a sales forecasting system and optimized the volume of goods in the warehouse and the range of goods in different locations, considering each outlet's specifics. We set up a system that has processed more than 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.

88%

forecasting accuracy

0.9%

out-of-stock reduced

Andrew M.

CEO Luxury Goods Retail

View case study

I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.

Insurance Profitability Analysis Tool

This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.

> 10TB

data processed

89%

accuracy improvement

Sean B.

CEO Insurance provider

View case study

Insurance Profitability Analysis Tool case preview image

Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.

AI-Powered Web Platform for Data-Driven E-commerce Decisions

Dropship.ai is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.

3M+

total unique users

600M+

products monitored

Josef Ganim

Founder & CTO dropship.io

View case study

Dataforest has been our go-to development partner for 6+ years. They've played a key role in building and scaling our platform to over 3 million users. Consistently reliable, fast, and technically sharp—exactly what you want when the stakes are high.

Streamlined Data Analytics

We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.

1.5mln

DB entries

integrated sources