Fully-managed, end-to-end data services - inclusive of AI data annotation/labelling, dataset validation, data collection, surveys, market research, ethnographic intelligence, etc. across a wide variety of use-cases.
Accurately labelled data translate to better model performance - an underlying truth about machine learning and its functional potential. We partner with AI enterprises to co-create workflows, provide human-in-the-loop, pixel-accurate data labeling services, and deliver robust training datasets.
+ Single-pass quality check
+ 1x workforce supervisor
+ 95% accuracy guarantee
Appropriate for standard CV, NLP, LLM, and/or ASR recognition tasks utilising our labeller workforce.
+ Multi-pass quality checks
+ 2x workforce supervisor
+ 98.5% accuracy guarantee
Appropriate for complex workflows pertaining to large datasets requiring high accuracy.
+ Key domain experts
+ 1x project manager
+ 1x data engineer
Fit for medical, agronomy, legal, financial, among other use-cases requiring expert support.
Special pricing for university faculty members and PhD pursuants.
Academia partner packages are customised based on their needs and research expectations.
We accommodate free pilot projects to understand quality and velocity parameters of all assignments, and provide both instance-based and hourly pricing packages.
DO A FREE PILOTCHECK OUR OPEN DATASETSWe support our partners with a myriad of data collection, analysis, and research.
Uncover consumer behavior, brand perception, and competitive dynamics through targeted surveys, focus groups, and segmentation analysis.
Transform raw data into actionable insights using advanced analytics or spatial pattern recognition, predictive modeling, and interactive dashboards.
Deliver deep-dive analyses focused on sectors such as technology, healthcare, and finance to address specialized market challenges.
Monitor online trends, digital behavior, social sentiment and salience to guide effective digital strategies pertaining to advocacy and product mobilisation.
Integrate aerial and spatial imagery, street mapping, and advanced GIS analysis to deliver insights for urban planning, logistics, and environmental monitoring.
Design, execute, and analyse custom surveys that capture critical data - such as on market sensitivity, behaviors, engagement efficacy - aided by our AI tools.
Acme AI works with models surrounding computer vision, natural language processing, and automatic speech recognition in urban planning, construction, banking, national security, healthcare, transportation, retail, manufacturing, acoustic healthcare, consumer electronics, agriculture, robotics, etc.
All of our projects have dedicated project and customer support for smoothing out experience and communication.
Introductory conversation with a client to understand brief and gather requirements for the data project.
Develop initial work guidelines and setup project. Additional personnel training ascertained if the assignment calls for it.
Mobilise a demo production run, share questions with the client for clarification and fine-tune data quality parameters.
Setup project based on approved workflow in addition to creating and assigning tasks for annotators/surveyors/data workers.
Delve into the data work and complete tasks - be it data collection, validation or labelling - for the project, either in batches or collectively.
Operationalise a single-pass or multi-pass quality check process in parallel to production to isolate inconsistencies.
Final quality assurance check to confirm 95% accuracy with project files handed over to the client as a final delivery.
Data razed 10 days after delivery or earlier based on client requirement and our data protection policies.
Tools we frequently use.
Accurate labeling is a critical part for any algorithm to perform as intended. We strive to provide pixel-accurate datasets within cost-effective packages for our clients across different industries. Following are some example of annotations done on different industries.
Geospatial detection use-cases are one of the key avenues where AI is breaking barriers. Iterations of object detection from EOS multispectral and radar imagery can be many, inclusive of land use and land cover, vegetation mapping, vehicle detection and types, oceanic vessels, urban planning, and even detecting pollution spread trajectories.
Popular Labelling Forms.
Bounding Box
Polygon/Polyline
Classification
We refer to transportation as a progenitor space for machine learning - revolving around AI iterations of autonomous vehicles, fleet management, number plate detection, smart accessories, traffic management and road infrastructure management.
Popular Labelling Forms.
Semantic/Panoptic Segmentation
Polygon/Polyline
Video/Sequence Annotation
3D Cuboid in LiDAR/ Bounding Boxes
Automation in manufacturing and industrial production lines are increasingly being explored, ranging from defect detection in consumer goods to developing computer vision systems that guide manufacturing automatons. Retail and warehousing work in a similar context with real-time feedback on customer experience or clusters, and predicting stock surplus or shortages to name a few.
Popular Labelling Forms.
Bounding Box
Polygon/Polyline
Classification
Optical Character Recognition
Document processing is a big part of banking and insurance sectors which can often become an arduous endeavor. Thankfully, NLP and computer vision can change the game and we are here to make sure that they do it right.
Popular Labelling Forms.
Optical Character Recognition
Classification
Precision medicine, diagnosis automation, remote surgeries, treatment modelling, prescription analysis and emergency medicine deliveries are just a few of the enormous wealth of medical innovations currently in the process of development and scaling in the world. Annotation on DICOM or multi-layered TIFF images paired with robust deep learning algorithms is expected to make the next generation of medical AI systems.
Popular Labelling Forms.
DICOM Annotation
Polygon/Polyline
Audio Transcription
Do a pilot before starting the project for checking quality and accuracy parameters and bottlenecks.
Detailed task guidelines for resources to minimize roadblocks once work commences.
Provide a project manager who takes ownership of the work and can be reached at any time.
Single-pass and multi-pass QA, ensuring global standard quality control prior to releasing data.
We provide fully managed annotation services. Our skilled annotators are rigorously trained and our team leads have extensive experience in managing image annotation workflows and coordinating with clients. The perks mentioned here are services we provide which are included in our standard pricing model.
All of our workforce are certified in CDC/NCHS Confidentiality Training to PIIs. This is critical for medical data and is also interoperable to banking and retail use-cases.
Our operational leaders are certified in Total Data Quality from the University of Michigan - adopting best practices to assimilate into client's use-cases and inform on possible data and bias issues.
faster work per
hour by our certified annotators
Acme AI only employ workers who pass our rigorous certificate training programme. In comparison to the average labeller, certified annotators work faster - translating to hourly cost savings.
certified workers
What started out as a team of four people in 2020 scaled to a taskforce of over 270 people in a span of two years. Our workforce grows by at least 7% every month.
on-demand workforce scaling potential
Based on requirement and business value, we can scale our on-prem and remote workforce by upto 30% of its current capacity. Examples include increasing workforce by 13% in a week's notice.
Get high-quality data or training dataset for your AI models or research/monitoring endeavours. We bring the best-in-class, scalable, and adaptive data processing services.
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