Generative AI generates new content such as
images, text, or music autonomously, using machine
learning algorithms trained on large datasets.
Innverse helps private and public generative AI leaders make better, more affordable, and more accessible for millions of people around the world.
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 20 countries worldwide and developed the AI strategy for the Estonian government, so we have enough competence to support you.
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.
Data Labelling involves adding tags or annotations for machine learning.
Data architecture designs the structure and flow of information systems.
AI strategy outlines plans for implementing artificial intelligence initiatives effectively.
Piloting involves testing small-scale implementations to assess feasibility and effectiveness.
Scaling refers to expanding and optimising systems or operations for growth.
Natural Language Processing, involves analysing and understanding language data.
Data collection entails gathering information for analysis, often from diverse sources.
App development involves creating software applications for various platforms and devices.
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.
AI is accelerating into a mega-trend, transforming industries, companies and the way we live and work. Organizations that build a strong data & AI foundation will be better positioned to reinvent, compete and achieve new levels of performance.
Accenture helps companies move from AI interest to action to value, in a responsible way with clear business cases. We help companies get their data, people and processes ready for AI, with a secure, cloud-based digital core that allows for continuous reinvention and greater growth, efficiency and resilience.
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
Here at Innverse, 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. Computer vision is a field of artificial intelligence that enables computers to interpret and understand visual information from the real world. It involves tasks such as image recognition, object detection, and scene understanding, using techniques like deep learning and image processing algorithms to extract meaningful insights from images or videos.
Our services include:
_ Video recognition
_ Object tracking
_ Face recognition
_ Video analytics
_ Image recognition
_ Object detection
Computer Vision Services
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.
An AI recommendation engine analyses user data to suggest products, services, or content tailored to individual preferences. It utilises machine learning algorithms to predict user behaviour and offer personalised recommendations, enhancing user experience and increasing engagement. These engines are widely used in e-commerce, streaming platforms, and social media.
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
AI recommender
Data science is an interdisciplinary field that employs scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It encompasses various techniques such as data mining, machine learning, and statistical analysis to uncover patterns, trends, and correlations, aiding in decision-making and problem-solving.
Our services include:
_ Predictive maintenance
_ Predictive analytics
_ Process mining
_ Pattern recognition
_ Cluster analysis
_ Information retrieval
Data science services
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 Innverse 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.
Our services include:
_ Data analytics and insights
_ Data pipeline development
_ Data integration services
_ Data processing frameworks
_ Data storage solutions
Data engineering and Big Data services
With MLOps we use a set of techniques that aim to deploy and maintain ML models in production reliably
and efficiently.
MLOps, short for Machine Learning Operations, is a practice that combines DevOps and data engineering
principles to streamline the deployment, monitoring, and management of machine learning models in
production environments. It focuses on automation, collaboration, and continuous improvement to ensure
the reliability and scalability of ML systems..
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
MLOps services
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.
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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.
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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.
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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.
Read MoreThe Innverse team works with machine learning projects all the time, and has highly qualified specialists on board; thus, we can start implementing the project right away, not spending time learning how to be more efficient.
We already know who is good at what and who to include to efficiently deliver your project. This might mean including a specific person with a particular skill set for 1 day or 6 months.
Since our inception, we’ve successfully built a reputation of trust, reliability and of delivering exceptional services. We are progressively diversifying into new markets with our battle-hardened methodologies. Every day, we work to empower our customers to get the maximum out of technology.
We challenge, we innovate, and we continue to deepen our knowledge and expertise to realize the best value for our customers. We do this through a culture that cultivates a relationship-based approach to helping people and businesses be successful.
Why contact us?
Shaping the Future of Technology Your Gateway to Innovation and Excellence
65-E Sir Syed Town, FSD
+92 300 786 2325
info@innverse.io
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