Are You Ready for the Future? 




Turn unstructured data into insights

Research & Development

Innovation is the key to advancement. Modern NLP will change the way you work or optimise existing processes.

Software development

Our applications scale with your data. We care about software design, security, user experience and testing.

Deep Learning

Tomorrow’s leaders will understand AI and be able to use it effectively. We share our expertise, so follow our blog to keep learning about NLP and deep learning.

Process Automation

Optimise your existing processes so that you can continue to focus on what you do best.

the importance of nlp

80% of the worlds data is

in unstructured formats

This includes things like emails, social media posts, PDF documents, audio and video files. While this type of data can be incredibly valuable for gaining insights and making decisions, it is often difficult to analyze and understand.

Natural language processing is here to help

Turn Your Data Into Insights

Our cutting-edge technology uses natural language processing to transform your unstructured data into actionable insights, giving you a deeper understanding of your customers, competitors, and industry.  With our easy-to-use API or platform, you can quickly and easily extract valuable information from text, social media, customer reviews, and more. 

Your Data Is Gold

Data is your most valuable resource; use it well.

Natural Language Processing

Never read another document.
NLP will do it for you.

Data Driven Decisions

Stop guessing and start making informed decisions with your data.

Natural language processing experts

Products & Services

Document & Text Processing API

Our deep learning systems understand language, structures and relationships between elements. This allows them to accurately extract nearly anything.

Document Processing Platform

Our specialised platforms are designed with one simple use case in mind. This keeps the UI simple and easy to work with for everybody. 

Data Modelling

In order to extract data accurately, we use state-of-the-art modelling techniques. So even when your document’s format change our models continue to work

NLP Consulting

We evaluate what you already have, design, and implement a roadmap to give you the innovative edge you require to remain on top.

Deep Learning Expertise

We share our knowledge, so stay up to date with the newest techniques by following along on our blog. Our content will make you a pro in no time.

Self-learning Systems

All of our systems are built so that they automatically learn from new information as it comes in. This means our models are never outdated. 

Client Testimonial

I have been using Spot Intelligence’s platform, The Doc Hawk, for the past year, and it has been a game changer for me.

I was constantly being bothered by other departments for reports. Being the “data guy” was taking up a significant amount of my time. Now I’m able to focus on my role.

I have even been able to get other departments to use it.



Read the latest from our blog

Most Powerful Open Source Large Language Models (LLM) 2023

Open Source Large Language Models (LLM) – Top 10 Most Powerful To Consider In 2023

What are open-source large language models? Open-source large language models, such as GPT-3.5, are advanced AI systems designed to understand and generate human-like...

l1 and l2 regularization promotes simpler models that capture the underlying patterns and generalize well to new data

L1 And L2 Regularization Explained, When To Use Them & Practical Examples

L1 and L2 regularization are techniques commonly used in machine learning and statistical modelling to prevent overfitting and improve the generalization ability of a...

Hyperparameter tuning often involves a combination of manual exploration, intuition, and systematic search methods

Hyperparameter Tuning In Machine Learning & Deep Learning [The Ultimate Guide With How To Examples In Python]

What is hyperparameter tuning in machine learning? Hyperparameter tuning is critical to machine learning and deep learning model development. Machine learning...

Countvectorizer is a simple techniques that counts the amount of times a word occurs

CountVectorizer Tutorial In Scikit-Learn And Python (NLP) With Advantages, Disadvantages & Alternatives

What is CountVectorizer in NLP? CountVectorizer is a text preprocessing technique commonly used in natural language processing (NLP) tasks for converting a collection...

Social media messages is an example of unstructured data

Difference Between Structured And Unstructured Data & How To Turn Unstructured Data Into Structured Data

Unstructured data has become increasingly prevalent in today's digital age and differs from the more traditional structured data. With the exponential growth of...

sklearn confusion matrix

F1 Score The Ultimate Guide: Formulas, Explanations, Examples, Advantages, Disadvantages, Alternatives & Python Code

The F1 score formula The F1 score is a metric commonly used to evaluate the performance of binary classification models. It is a measure of a model's accuracy, and it...

regression vs classification, what is the difference

Regression Vs Classification — Understand How To Choose And Switch Between Them

Classification vs regression are two of the most common types of machine learning problems. Classification involves predicting a categorical outcome, such as whether an...

Several images of probability densities of the Dirichlet distribution as functions.

Latent Dirichlet Allocation (LDA) Made Easy And Top 3 Ways To Implement In Python

Latent Dirichlet Allocation explained Latent Dirichlet Allocation (LDA) is a statistical model used for topic modelling in natural language processing. It is a...

One of the critical features of GPT-3 is its ability to perform few-shot and zero-shot learning. Fine tuning can further improve GPT-3

How To Fine-tuning GPT-3 Tutorial In Python With Hugging Face

What is GPT-3? GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI, a leading artificial intelligence research...

Free eBook

Designing and building data science solutions

This book contains two frameworks designed to make your projects succeed.

1. How to define success — increase impact, reduce risk
We all know data science projects come with a certain amount of uncertainty, but this crucial first step will set you up for success.

2. Step-by-step guide — how to design and execute a successful plan
This comprehensive guide will walk you through the entire procedure. Keeping you within time/budget while delivering the planned results

We have open-sourced this book about our methodology so that more people could benefit and have impactful data science projects.

Please contact us for your personalised plan.

In need of NLP expertise?

Building natural language processing (NLP) solutions is what we do. Tell us about your project.

Interested in our products?

With over 10 years of experience building products and solving complex AI problems, we have a suite of products ready to use and the expertise to quickly build new ones.

nlp trends

2023 NLP Expert Trend Predictions

Get a FREE PDF with expert predictions for 2023. How will natural language processing (NLP) impact businesses? What can we expect from the state-of-the-art models?

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