Build, implement, and deploy Machine Learning models and algorithms that process high volumes of data to make applications smarter.
Extract information from the human language like - text, voice, figures, names, relationships. Speed up analysis and reporting.
Develop custom solutions that understand digital images and videos. Process and analyse objects, classify them into groups, and track them.
Integrate your mobile app(s) with services you are already using and extend their use cases for your employees and users.
Our services include digging into unstructured datasets, data processing, building predictive models, and turning these into actionable information.
Our competencies in commercial and open-source AI allow you to use tools and frameworks of your choice to rapidly develop AI products.
Simform 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 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.
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.
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.
Review your capabilities and define future goals to make recommendations for tools, technology, and architecture.
Demonstrate what is possible by analyzing datasets and building models using quick, efficient and iterative prototypes.
We run thousands of experiments in parallel to develop a machine learning model. A model is the core of a machine learning system.
Insert the ML system with a REST API or a front-end app, developing necessary features to access the model in a user-friendly way.
Leverage machine learning to detect weak links and delays in your supply chain for cheaper and efficient logistics.
Build a self-taught custom system to detect that can analyze client behaviour anomalies with deep learning models.
Provide personalized and efficient healthcare by processing wearable data with the help of AI-powered analytics software.
Smart home management system built using artificial intelligence service with sensor data analytics and face recognition.
Recommendation engine to engage subscribers, cross-sell with personalized promotional offers to increase per-user revenue.
Use predictive models to anticipate your customer's next move & make precise audience targeting for better ad impact.
Implement smart security using machine learning models that execute face & pose detection, recognition and tracking.
Apply big data analysis and predictive models for real-time fault detection in cases of network issues.
Expand or reduce your remote team size on demand.
Access vetted experts in the tech stack of your choice.
Simform’s average engagement duration is 2 years.
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