Artificial intelligence services

Use machine learning tools and algorithms to build intelligent AI-driven applications

Machine Learning

Build, implement, and deploy Machine Learning models and algorithms that process high volumes of data to make applications smarter.

Natural Language Processing

Extract information from the human language like - text, voice, figures, names, relationships. Speed up analysis and reporting.

Computer Vision

Develop custom solutions that understand digital images and videos. Process and analyse objects, classify them into groups, and track them.

AI-Driven ChatbotsIntegrate your mobile app(s)

with services you are already using and extend their use cases for your employees and users.

Data Science & Research

Our services include digging into unstructured datasets, data processing, building predictive models, and turning these into actionable information.

AI Product Development

Our competencies in commercial and open-source AI allow you to use tools and frameworks of your choice to rapidly develop AI products.

Build smart applications for smarter business

Lmond provides AI software development to apply smarter solutions to business problems. Our AI consulting can help you spot AI opportunities and eliminate barriers to AI. Together we can open up new AI opportunities that can – in a very real way – change the future.

We use the tools and frameworks of your choice without lock-in

Developing models faster using automated machine learning. Our machine learning powered business applications enable faster decision making, increased productivity, business process automation, and faster anomaly detection

Use-Case Model

Use-case model is ideal for identifying AI projects to drive the performance of existing activities. Our ML engineers analyze each use case and create highly-customized solutions, aligned with unique business goals.

Frameworks and technologies of your choice

We use all open source machine learning and big data frameworks (Tensor flow, OpenAI, Scikit-learn, Keras, Caffe, MLlib, Hadoop, Spark, etc) to ensure that AI technologies can be seamlessly adapted.

Quick POC (Proof-of-Concept)

We review your business and data well. Often times many vendors miss this part and go directly and try to build ML models. Build a small-scale system, proving the viability of the machine learningmodels for your problem.


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