Mobile App Development involves creating and deploying applications for smartphones.
Mobile app development services involve designing, developing, and launching custom iOS and Android applications for smartphones and tablets. We create secure, scalable, and user-friendly mobile apps with seamless UI/UX to enhance customer engagement and drive business growth.
Innverse helps private and public mobile app development leaders make
better, more affordable, and more accessible for millions of people around the world.
Unlock the value of your data with mobile app development software
Machine learning projects often involve uncertainty, technical complexity, and significant execution risks. Without the right in-house AI expertise, it can be challenging to successfully plan, develop, and scale a custom AI solution that delivers real business value.
We have delivered more than 100 custom AI solutions across 20 countries worldwide and developed the national AI strategy for the Government of Estonia. With proven experience in AI development services and enterprise AI implementation, our team has the expertise to confidently support and execute your AI project end-to-end.
Our customers appreciate that we provide more than just regular mobile app development services
Besides being top-notch specialists in custom AI solutions and machine learning development, we offer a full spectrum of AI consulting and business strategy services. Our team of expert business consultants works closely with you to understand your unique business challenges, align AI initiatives with your strategic goals, and ensure the final AI solution meets both technical requirements and stakeholder expectations.
By combining enterprise AI implementation, predictive analytics, and end-to-end AI development services, we help organizations maximize ROI, streamline operations, and scale AI-driven solutions effectively. From data engineering and computer vision to natural language processing, our solutions are tailored to deliver tangible business outcomes and long-term competitive advantage.
We provide mobile app development solution
Data labeling
Data Labelling involves adding tags or annotations for machine learning.
Data architecture
Data architecture designs the structure and flow of information systems.
AI strategy
AI strategy outlines plans for implementing artificial intelligence initiatives effectively.
Piloting
Piloting involves testing small-scale implementations to assess feasibility and effectiveness.
Scaling
Scaling refers to expanding and optimising systems or operations for growth.
NLOps
Natural Language Processing, involves analysing and understanding language data.
Data collection
Data collection entails gathering information for analysis, often from diverse sources.
App development
App development involves creating software applications for various platforms and devices.
It means that we are with you from the start to the finish of the final web development
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.
AI for business: Reinvent what's possible
AI is rapidly accelerating into a global mega-trend, transforming industries, reshaping businesses, and redefining how we live and work. Organizations that invest in a strong data and AI foundation are positioned to lead this new era of digital innovation, enabling them to reinvent processes, enhance decision-making, and achieve unprecedented levels of performance, efficiency, and scalability
At Accenture, companies are guided from AI interest to actionable strategies that deliver measurable business value. Through responsible AI adoption and clear business-use cases, organizations receive end-to-end support—preparing their data, teams, and workflows for AI-driven transformation. With a secure, cloud-first digital core, businesses can unlock continuous reinvention, improved resilience, and sustainable growth powered by advanced analytics, automation, and enterprise AI solutions.
Artificial Intelligence
A new era of generative AI for everyone
In today’s fast-evolving digital landscape, generative AI is reshaping how businesses innovate, operate, and grow. At INNVERSE, we believe we are entering a new era where generative AI is no longer limited to tech giants or research labs—it is becoming an accessible, practical, and transformative resource for everyone.
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 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 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.
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 services
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
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 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
MLOps
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
Our projects
Creating custom mobile applications with ease
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.
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.
Tool for synchronising data and functionality across multiple mobile
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.
Consultancy service providing expert guidance and support for mobile app development
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.
The Innverse team brings extensive experience in machine learning development, AI implementation, and custom AI solutions, enabling us to hit the ground running on your project. With a team of highly qualified specialists, we don’t waste time figuring out how to work efficiently — we already know the best practices, tools, and workflows to deliver results quickly and effectively.
We carefully allocate the right experts to your project based on their specific skill sets, whether it’s for one day or six months, ensuring that your AI initiative progresses smoothly and efficiently. By leveraging our deep expertise in AI project execution, predictive analytics, and enterprise AI solutions, we can significantly shorten your learning curve and accelerate the delivery of high-impact, business-ready AI solutions.
Unlocking the potential of AI
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.
Waseem Ahmad
Frequently ask question
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.
How can we help you?
Are you ready to push boundaries and explore new
frontiers of innovation?
Let's Talk
Why contact us?
Validate your situation with our business advisors and IT executives
Understand business results, not just technical implications
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