Custom AI development and research for startups

Custom AI solutions that will help you to fully develop your project without the need to hire an in-house team.

20
Projects in 20+ countries
150+
AI projects delivered
85%
Project success rate
Gartner
recognized vendor

Trusted by governments, leading telecoms and banks

Custom AI development and research

AI projects come with many unknowns, and you may not have the in-house talent to execute them. We are with you from idea to final solution: from validating ideas with the business side and building a strategy around them, getting your data ready in quality and scale, to developing the AI models and the applications that use them, and setting up the MLOps infrastructure to run pilots and scale the successful ones.

We also do AI research and development. Where existing methods fall short, we carry out advanced product research in the field of artificial intelligence: we test new AI methods on real data and turn the results into working products.

Our customers appreciate that we provide more than just regular AI services. Besides our AI specialists, we have a team of expert business consultants who help you reach your business goals and build an AI solution that meets your stakeholders’ expectations.

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.

 

Our projects

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

Testimonials

Testimonials

Frequently asked questions

Frequently asked questions
How do I know that I need AI to solve my problem?

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.

Who is responsible for data collection and labeling?

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.

How much times does it take to execute an AI project?

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.

Do you guarantee the success of the project?

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.

 

 

This field is for validation purposes and should be left unchanged.
(Required)