Custom Artificial Intelligence solutions for Startups
NEUROSYS in numbers
Unlock the value of Your data and automate routine tasks services
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 100 custom AI solutions in 25 countries worldwide and developed the AI strategy for the Estonian government, so we have enough competence to support you.
Natural language processing
One of the key values provided by machine learning is processing unstructured data like speech and text to extract facts.
Computer vision
Here at NEUROSYS, we develop computer vision applications focused on deriving meaningful information from visual inputs.
Data science services
Our services include:
=> Predictive maintenance
=> Predictive analytics
AI recommendation engine
AI-powered recommendation engines can make recommendations based on tens of thousands of data points.
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.
Speech Analysis
At NEUROSYS, we’ve spent years developing speech recognition solutions for both widely spoken languages like English and lesser-known ones like Estonian.
Custom Artificial Intelligence solutions Services
- Call automation bot
- CV and job description
- AI model for tax
- Computer vision for power
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.
CV and job description processing
AI model for tax fraud detection
Computer vision for power lines maintenance
How we work?
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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.
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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.
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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.
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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.
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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.
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Maintenance
Any system might require time to time maintenance, and we are happy to support our customers with that.
Build Your First Dynamic AI Agent In Just A Few Clicks!
FAQ
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.
IT SERVICES
Related Services We Offer
AWS DevOps
Power BI
Power Apps
INDUSTRY EXPERIENCE
Industries We Serve
Manufacture
Education & E-Learning
Services
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Apply for a job
Send us your CV by filling in the form on the right or emailing us at [email protected]
We will get in touch with you if something comes up!