AISmartz

We partner with disruptive sports analytics, pharmaceutical and healthcare AI research companies to provide high-quality, secure, and HIPAA-compliant data enrichment solutions. Our Computer Vision and Natural language processing experts work on case-based medical hardware source images and text/audio data to label and enrich datasets that enhance ease of record-keeping and add to the understanding of complex medical information.

Bounding Boxes
(CV)

Computer Vision experts outline artifacts in 2D & 3D for in-depth recognition to identify and classify objects in images and videos for machine learning processes, in use cases such as retail, robotics, drone imagery, and autonomous vehicles.

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Polygon Annotation
(CV)

Our data labeling team outlines the exact shape of the target object to annotate its precise edges effectively by drawing pixel-perfect polygons.

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Semantic Segmentation
(CV)

We classify and label each pixel of an image for fine-grained understanding. It enables image classification with pixel-wise annotation to localize images with intense precision. AIsmartz team segments multiple types of objects in images belonging to a single class at a pixel level.

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Point of Interest Marking
(CV)

CV applications with neural networks need to identify important points of interest work best with data inputs that carry coordinates of landmark points and include temporal changes and behavioral trends. We specialize in Point of Interest Marking for Geospatial Technology and landmarking for facial imagery labeling.

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Audio and Text Transcription
(NLP)

Providing the most accurate and cost-effective way to understand your audience with clarity and consistency. From medical and legal write-ups to noisy discussions, our experienced transcription teams cover it all.

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Data Transformation
(Data Enrichment)

Data mining experts at AIsmartz convert unstructured data into uniform formats, to homogenise and combine it with structured data for dashboard tool analysis, and to aid new cloud data warehouses.

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Partnering on a sergical voice assitant

VAIM Technologies wanted to simplify the point-of-care experience for surgeons and optimize hospital workflows with a comprehensive speech-to-text assistant for surgeons. They partnered with AIsmartz to transcribe audio data and build a real time learning capable coice assistant.

AIsmartz designed the application using Python; the voice assistant worked on Speech-to-Text comprehensive ML cabilities.
The Team identified reasons for low speech-to-text conversion accuracy, and implemented best practices to develop exhaustive surgical lexicon ready datasets.
We made it sure that our labelling and application solution is beneficial both in terms of cost and time for their VAIM's go to market plan.

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Jack

Co-Founder
VAIM Technologies

“When I initially approached AIsmartz, my focus was only to avail their expertise in speech-to-text transcription services. But, with their recommendations based on the use case task analysis, I was convinced to seek their support on complete development of our AI based surgical voice assistant.”

Data Annotation Workflow

Instructions Set

You share your sample data with business rules.

Task Analysis

Our annotation experts share their opinion on workforce hours and tools required for the job

Data Labelling with Checks

Once signed up, our teams work in close contact with you for initial 8 weeks to understand edge cases

Production Grade Annotation

QA Managers monitor throughput closely with gold standards, consensus and sampling

Exported Training Data Feedback

Finished training data run by you for feedback and info on model iterations

SUGGESTED READS

Choosing the right Data Annotation Tool

Since the performance of your ML model is as good as the data that trains it, understanding the tools used for annotating this data becomes especially important. These tools determine the quality of the data and can have implications on the success or failure of your model. … read more

Key Factors to find synergy with Labeling Partner

When we think about AI and Machine Learning, we naturally tend to think of self-driving cars, delivery drones, robot-assisted precision surgeries, and all the technological innovations that have been doing the rounds lately.… read more

Use Cases

Finance and Insurance Tech

We partner with asset management, legal, finance and insurance firms to assist them to embark on their journey of robotic automation of gathering quick insights on lengthy legal, structural and financial data. … read more

Customer Service Automation

With the advent of new generation AI enabled chatbots and virtual assistants, efficient and warm handling of basic queries, assistance replies to product/service oriented feedback is just the tip of the iceberg… read more

Government

Be it e-auction sites, public tenders, taxation, documentary record repositories, or nature, animal, people & demographics information, database management and enrichment is an essential facet of building data authenticity and enhancing user experience... read more

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Planning a machine learning project? AISmartz can help.