Analytics Engines

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Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2009

Year Founded

ABOUT ANALYTICS ENGINES

Human-centric technology

We specialize in AI Strategy, Data Science, Data Engineering, and Delivery Enablement. Our team excels not only in developing advanced technology but also in grasping business needs. Our expertise extends beyond AI and data; we evaluate, advise, and help build technological capabilities for you, your products, and your clients. Our services are grounded in extensive domain knowledge and proficiency. We empower our clients to take effective actions to find, connect, understand, analyze, and even predict—aimed at delivering innovative solutions for various challenges. Whether dealing with messy data, formulating a comprehensive data strategy, or tackling advanced topics like AI-driven search and discovery, we have you covered. We enable progressive organizations to unlock value, outperform their competitors, and elevate their performance through AI and data.

LANGUAGES SPOKEN

CatalanEnglish

HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2009

Year Founded

Services

Focus

Industries

Clients

Services Provided+1 Services

25% LLM Integration & Prompt Engineering

20% Generative AI

20% Machine Learning Model Development

15% AI Strategy & Roadmap Consulting

10% Custom AI Chatbot Development

10% BI & Big Data Consulting & SI

100% Data Strategy Consulting

60% Custom Web Application Development

About the Team

OUR STORY

At Analytics Engines, our leadership team combines deep expertise in Data and AI with a profound understanding of people, business dynamics, and progress. Guided by seasoned professionals such as Dr. Scott Fischaber, our Chief Operating Officer, Matthew Russell, Head of Engineering, and Dr. Aislinn Rice as Non-Executive Director, we strive to accelerate growth for our clients. Our mission centers on acting as a catalyst, leveraging cutting-edge analytics and insights to drive meaningful advancement. By engaging closely with our customers, we ensure tailored solutions that foster innovation and success. Connect with our data experts to explore how we can empower your organization's journey toward growth and transformation.

Portfolio

Using AI to Identify Story Leads for Journalists

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Analytics Engines is assisting a leading media organization, particularly its investigative journalism team, by providing a system that can collect, integrate, analyze, and display extensive public-interest data. This system aims to aid in generating story ideas and conducting research. The client specifically needed a comprehensive news, research, and investigative database capable of managing large-scale big data projects and internet research that was previously unfeasible. The project's objectives include the efficient and consistent identification of newsworthy data, facilitating story lead discovery without requiring direct journalist input. The solution automates and simulates intricate investigative queries to pinpoint potential leads and utilizes a range of external and internal data sources. A data extraction layer restructures the data to allow for the merging and linking of datasets while making them accessible to typical users. It accommodates users with varying skill levels and access permissions, permitting database interrogation without coding knowledge for basic users, while also equipping advanced users with tools to execute complex queries. This system addresses one of the significant challenges in modern research: efficiently and thoroughly analyzing large datasets for newsworthy information. Ultimately, our solution enhances the ability to discover and deliver more targeted, relevant content to audiences in a more effective, thorough, and cost-efficient manner.

Using Computer Vision to Verify Identities

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Analytics Engines is collaborating with an organization that offers identity verification services to both public and private sector entities. Their platform delivers background verification solutions for businesses. The client observed that government departments utilize a diverse array of identity services, which necessitated individuals to repeatedly input the same information to access different services. This resulted in increased inefficiencies, a subpar user experience, loss of business oversight, and diminished ability to combat fraudulent activities. Handling failed identity checks often involved manual human efforts, leading to costly and time-consuming processes. The client sought a solution that could conduct identification checks more effectively and efficiently. In response, Analytics Engines developed an AI-driven document classification module capable of differentiating between various types of identification, such as passports, bus passes, and electoral cards. This solution operates as a 'multi-class' classification module, enabling automatic document processing with superior efficiency and effectiveness compared to human processing, thus decreasing reliance on third-party manual intervention. It can identify and verify the type of uploaded document in milliseconds with high accuracy. Additionally, the solution is designed for seamless integration with the client’s existing products and platforms.

Efficient Data Matching

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In 2022, Analytics Engines initiated a project for a software company based in the United States. This client provides services aimed at helping large enterprises gain insights into their utilization of hardware, software, SaaS, and cloud assets, which allows them to optimize their IT expenditures and achieve maximum return on investment. In light of an ambitious modernization plan, the client sought a development partner to create internal microservices that would replace some repetitive, manual tasks within their current workflow. The client suggested that a Machine Learning-based solution could address this challenge. However, drawing from past experience, our data scientists concluded that an algorithmic, rules-based method could achieve comparable, if not superior, results. Our team also felt that a rules-based method could resolve many challenges linked to Machine Learning, such as higher costs, more complex deployment, and the necessity for ongoing maintenance. We ran an experiment using a sample dataset provided by the client, where we tasked both the Machine Learning model and the rules-based algorithm to identify and classify software version numbers in the dataset. The results revealed that the rules-based approach achieved a success rate exceeding 99%, while the Machine Learning method only reached 70%. Based on these findings, we developed a solution that employed a rules-based strategy to integrate data cleansing with automatic evidence matching. This algorithm is scalable and retains the high accuracy of the manual matching process, successfully automating the identification and classification of software versions with an accuracy rate above 99%. Consequently, the solution has automated a considerable portion of the project and significantly diminished the need for manual processing.

5 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

“

"Analytics Engines delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

MOST COMMON PROJECT SIZE

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Select a service

LLM Integration & Prompt Engineering

Generative AI

Machine Learning Model Development

AI Strategy & Roadmap Consulting

Custom AI Chatbot Development

BI & Big Data Consulting & SI

Data Strategy Consulting

Custom Web Application Development

API Development & Integration

Locations

Headquarters

1 Chlorine Gardens

Belfast, Northern Ireland, United Kingdom BT9 5AJ

+442890669022

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