Custom Artificial Intelligence solutions for Startups.

Trusted by governments, leading telecoms and banks

Unlock the value of your data with Custom AI software

There are lots of unknowns and risks when it comes to machine learning. And you might not always have enough talent in-house to successfully execute your AI project.

We delivered more than 135 custom AI solutions in 20 countries worldwide and developed the AI strategy for the Estonian government, so we have enough competence to support you.

We are with you from the start to the finish of the final solution.

From validating ideas on the business side to creating a strategy that is based on them. Making sure everything is ready from the data side from quality, quantity, engineering and scalability.

We set up all the necessary MLOps infrastructure for initial pilots and scale successful pilots. Of course, we develop the actual AI models producing the desired output and the supporting applications to exploit the output of those models.

Our customers appreciate that we provide more than just regular ML services

Besides being top-notch specialists in machine learning we have a team of expert business consultants ready to support you in achieving your business goals and help to develop the final AI solution that matches your stakeholders’ expectations.

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Machine learning services

Natural language processing

One of the key values provided by machine learning is processing unstructured data like speech and text to extract facts and insights, removing the reliance on inaccurate keyword searches and sluggish processing of audio recordings.

AI-based natural language processing (NLP) solutions allow machines to perform these tasks at a speed that is unmatched by humans. This allows us to classify entire documents, divide them into sections by topic, understand the user’s intent in a conversation, or extract pieces of information from long texts.

Our services include

Natural language understanding
Summarization
Semantic Search
Sentiment Analysis

NLP Services

Computer vision

Here at MindTitan, we develop computer vision applications focused on deriving meaningful information from visual inputs like images and videos at a scale and speed impossible for humans.

Our experience in this domain allows us to provide our partners with solutions tailored to their specific datasets, scale and performance needs.

Our services include

Video recognition
Object tracking
Face recognition
Video analytics
Image recognition
Object detection

Computer vision services

AI recommendation engine

AI-powered recommendation engines can make recommendations based on tens of thousands of data points. This means highly relevant results for the end-user. This area of machine learning is especially relevant for the aviation, retail, banking and telecom industries where it’s used for.

Our services include:

Personalized marketing and sales offers
Location-based recommendations
Recommendations based on recent/past activity
Recommendations based on real-time activity
Matching people with interests or with other people

Data science services

Our services include:

Predictive maintenance
Predictive analytics
Process mining
Pattern recognition
Cluster analysis
Information retrieval

Data engineering and Big Data

The term itself is loosely defined, but quite clear from the perspective of the challenge – handling big data requires different, and far more complex, tools from small data.

At MindTitan we’ve had to deal with all kinds of data and have the experience to know when using the more complex toolset is merited and worth the extra cost in development and maintenance. And if you really need it, we can help you make the right choices and build the system that helps you solve your problems.

See our data engineering services

Speech Analysis

At MindTitan, we’ve spent years developing speech recognition solutions for both widely spoken languages like English and lesser-known ones like Estonian. We also specialize in working with compromised audio, such as phone calls and noisy surroundings or phone calls made in noisy surroundings.

We help our clients extract information from their speech data, either by using our existing speech recognition solutions or by developing custom models for their specific use cases, such as a specific recording environment, domain-specific vocabulary, regional accents, etc.

Our services include:

Speech to text
Text to speech
Speaker identification
Emotion detection

MLOps

With MLOps we use a set of techniques that aim to deploy and maintain ML models in production reliably and efficiently.

Our services include:

Getting data to data scientists in an orderly fashion, ensuring they all work on the same data and know what data was used for what model
Getting models from a notebook to production
Getting feedback from the models to data scientists
Monitoring the deployments
Improving the deployments
Making it all work as a cycle with model versioning and continuous deployment without manual work

Our projects

Elisa Call automation bot in Telecom

A conversational interface with its own voice, Annika takes calls from clients, listens to what they have to say, and directs them to the best course of action.
This is done using multilingual speech recognition to translate speech to words, transformer based NLP models to understand the content of a customer’s sentence and non-autoregressive Transformer based text to speech models that provide Annika with her signature voice.

Customer service

CV and job description processing

Building a job search and career development platform requires quite a bit of data collection - user profiles, job descriptions, cover letters, etc. We designed a system that takes user provided documents - CV-s, cover letters, job and education descriptions, etc. - as input and, using transformer based language models, extracts the relevant information that fits the data model of the platform.

Recommendation Engine

AI model for tax fraud detection

The machine learning system learns from expert auditors and helps to detect potential tax fraud. This solution is deployed at the Estonian Tax and Customs Board of Estonia.

Tax fraud detection

Computer vision for power lines maintenance

Our system helps power line utilities to inspect their power grids with the help of drones to capture data and a specialized inspection platform called uBird to analyze it.

Computer vision case study

Monitoring social media influencers

AI model that will identify illegal ads on social media. Prohibited advertising includes, the use of living beings and emotions in alcohol advertising, or advertising financial services without certain disclaimers.

AI that helps to detect politicians misusing public money

MindTitan is developing an AI to detect illegal usage of public money to promote political individuals or parties.

AI forecasts emergency calls for Estonian police

The AI-powered tool will provide an operational, multifactorial, and dynamically changing forecast of emergencies that will allow Police to meet the ever-growing challenges.

Personalized education path

We have developed an AI system that recommends suitable materials to students and gives a great overview to teachers to create a personalized education system.

Call topic analysis

Based on the calls, the AI model can be used to give an overview of what people ask and how to solve their issues. This model has been implemented in the Estonian state helpline 1247.

Automatic fault inspection

Finding defects from electrical components requires too much manual work from experts. Computer vision AI system suggests the most likely faults to experts so they only review those.

Banglalink data pipelines

We developed a high-performance data ingestion and processing pipeline that ingested the network data of 35 million users of a large telecommunications company totaling about 5TB of data daily.

Elisa network data analytics platform

A complete data analytics platform that ingests the network logs of about 300 000 clients into Google Cloud Platform

Efficient Process

Mapping the problem

Working closely with your company, we will identify the key areas where AI can bring the most value. This involves meetings with all stakeholders and developing a roadmap for action together.

Data exploration and proof of concept

We will evaluate if you have the business data needed to train relevant machine learning models. If required, we identify additional frameworks for data collection in your company.

Proposal for deliverables

Based on our meetings and data analysis, we’ll share with you the possible AI use cases for your company. We will work hand-in-hand to agree on the desired outcome.

Model development

We will build and apply various machine learning models to your business data, to find the best solution. As a result, we will develop algorithms that accomplish the desired goal.

Application deployment

We integrate the machine learning model with an API or front-end product, making it user-friendly and accessible to the end-user.

Maintenance

Any system might require time to time maintenance, and we are happy to support our customers with that.

Testimonials

MindTitan is kinda the same as having an in-house team. Working with them helped us to kickstart the AI development faster, we had experts and MindTitan just started creating the data and creating the models much faster than getting a new person in the team and training them on the use case and so on. So kickstarting the process was faster using MindTitan’s help”

German Bidzilja

Head of product

They didn’t need us to adapt to their product, it was the other way around. They listened to what our actual problems were and then built a solution for our actual business problems. That’s the key to most of the issues we have. And most of the projects are so successful thanks to that.

Mailiis Ploomann

Head of Telecom Services at Elisa

It’s good to know that when we want to take our language models to the next level, we can call on MindTitan’s expertise.

They feel like an extension to our team, rather than just consultants. I know I can reach out and get an answer to my question the very same day

Atte Keinänen

Head of Engineering at Fuzu Ltd.

We turned to MindTitan to create a data flywheel using NLP. In our case, the more contracts the Avokaado platform processes, the more automatic the process of drafting and structuring contracts becomes

Mariana Hagström

CEO, Co-founder Avokaado

“MindTitan is involved in shaping the long-term strategy for Estonia, giving an expert opinion about AI capabilities and possibilities for multiple public sector organizations and being a partner for developing the defined AI use cases.”

Marten Kaevats

National Digital Advisor

Frequently asked questions

Discovering the right process to be enhanced with AI may be an unusual task for business people.

People should come to us when they have a business problem where they intuitively feel that the solution could be hidden in data and that it can not be solved by writing a couple of simple rules. If this is the case, AI might be the solution.

To actually define an AI use case, business leaders will need the help of an AI team, who judge if and how to proceed with the problem enhancement; the problem owner who knows the most about the issue; and technical specialists who understand how the problem described by the problem owner can be interacted with in the technical world.

Data collection is most often on the client side as it is connected to the peculiar business problem to be solved we help as much as we can, especially if it is a data source we have worked with before.

Labeling can be on the client side if very specific knowledge is required for labeling or it can be outsourced to a labeling company or us. Hybrid solutions are also available, and in all cases, we provide proper labeling training and guidelines tailored to the computer vision task.

If you imagine the process made up of iterations of the cycle: data collection, labeling, model development + training, testing & evaluation and deployment into the final solution, usually the first 2 steps take 20-50% of the time (the smaller the project / standard problem, the higher the percentage) while the split between the latter 3 is really dependent of the novelty of the problem being solved, the required performance level and the complexity of deployment. The AI project range is from 3 months to multi-year collaborations.

During the project evaluation, we provide a feasibility assessment, and for problems in which we have experience, we can provide a more precise prediction and discuss the forecasted minimum level of performance.

Speed up your machine learning project with Turnkey AI solutions

Send us a request and get a free consultation with our AI experts to

Evaluate your AI use case;
Determine whether AI should be used to solve your issue;
Find out how to improve the efficiency of data collection and labelling;
Learn about time and investment estimates.