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Artificial intelligence (AI) software development services are becoming increasingly popular with businesses for extracting untapped value from vast amounts of data and boosting productivity by orders of magnitude. Self-taught systems sift through unstructured historical records easier, crunch the numbers faster, and help automate some of the most time-consuming tasks.
We are a crew of cognitive computing geeks who thrive on tackling complex problems with the best tools AI and ML have to offer. Combining our data science expertise with practical domain knowledge, we deliver AI consulting services and integrated solutions to address real business challenges.
Experts in ML and AI development, we use our multi-year cross-domain experience and custom know-hows to provide you with a software solution tailored to the specifics of your industry.
Didn’t see your specific area of interest mentioned? No worries! We have numerous other industry use cases where AI drives substantial productivity gains, such as:
Bank on AI opportunities to enrich your solution at every level
As experienced integrators, we can help clients retool an existing system or enrich the functionality of a cross-platform frontend application by splicing in a custom machine learning component or an open-source AI technology like TensorFlow.
From sports player tracking to exam proctoring to suspect identification, our computer vision solutions help companies from various verticals reimagine the ways they monetize visual content, scale up visual data analysis, and provide users with image-based functionality never before possible.
We help clients usher in digital transformation and improve decision-making through artificial intelligence-enabled optimization. By automating certain steps of your complex workflows, we can streamline task execution, implement content QC, teach the system to recommend actions based on previous experience, or even support full-scale robotic process automation (RPA).
We combine our deep learning know-hows with years of expertise in the video domain and cloud computing to develop superior video processing tools. Built to handle vast volumes of video content without compromising performance, these solutions provide features like continuous frame-to-frame face and object recognition, metadata extracting and management, and real-time video analysis.
We bring to the table our multi-year machine learning expertise to enable next-gen processing of any content type, including sports tournaments, movies, series, and TV shows. By augmenting your video solution with human-like ML capabilities, you can automatically detect the optimal place for ad insertion, generate engaging sports highlights within minutes, and deliver hyper-personalized content suggestions — all to revamp user satisfaction in real time.
We synergize our domain-specific expertise and leverage advanced LLM models such as OpenAI, LaMDA, and ChatGPT to craft innovative features and optimize workflows in EdTech, AdTech, media streaming, and various other sectors. Drawing upon both open-source and commercial LLM models, Oxagile develops customized LLM solutions tailored to fine-tune your specific processes, all powered by pre-trained datasets.
We’ll help you unlock the value in your data to not only solve current issues, but to anticipate users’ needs, identify and predict trends, and make strategic choices regarding pricing and marketing tactics. With a wealth of domain knowledge, we have a sense of how and when to better apply a comprehensive predictive analysis in each specific case: be it determining streaming service viewers’ future desires or predicting EdTech platform students’ performance and learning needs.
To provide unified access to all data sources and ensure a consistent overview of what is occurring across all levels and departments, we elaborate custom reporting systems from scratch, embed systems based on leading BI tools, or provide technological enhancements to the existing analytics solutions.
Tensorflow • PyTorch • MXNet • Nvidia Caffe • Caffe2 • Chainer • Theano
Microsoft Cognitive Toolkit • Core ML • Kurento’s computer vision module
Sonnet • Tensorlfow probability • Tensor2Tensor • tf-slim
Supervised/unsupervised learning • Clustering (density-based, Hierarchical, partitioning) • Metric learning • Few-shot learning
CNN • RNN • Representation learning • Manifold learning • Variational autoencoders • Bayesian networks • Autoregressive networks
BERT • Falcon 40B • Galactica • GPT-3 • GPT-3.5 • GPT-4 • LaMDA • Llama • Orca • PaLM • Phi-1 • StableLM