Free SampleGive your business instant, high-quality labeled data as it is ingested, streamed, or captured—across text, images, video, audio, sensor, or transactional streams. This allows downstream systems such as fraud detection models, autonomous navigation engines, or customer support platforms to act on data instantly rather than waiting for batch processing.
Most organizations struggle to build this capability in-house: manual labeling is too slow, existing tools are built for static datasets, and integrating annotation into live pipelines requires specialized data engineering and ML ops expertise. We close that gap by embedding AI-driven annotation, reinforced with human validation where required, directly into streaming infrastructures like Kafka, Flink, and Spark Streaming. Our real-time annotations, ranging from bounding boxes and entity tags to live transcription and risk scoring—equip your systems to make instant decisions, power operational dashboards, and drive continuous model improvement.
Faster ML deployment and iteration
No more annotation backlogs; Annotated data feeds directly into training pipelines.
Domain-trained annotators on demand
Domain experts ensure precision where it matters most.
Trust & compliance-first
Data stays under your control, handled with industrial-grade security.
Seamless MLOps integration
Annotated data flows directly into your model retraining and monitoring pipeline.
Lower data ops cost
Automates repetitive labeling tasks and reduces reliance on manual labor.
Reduced operational risk
Anomalies or critical signals are flagged immediately.
We support multimodal real-time annotation across a wide range of structured, unstructured, and semi-structured data streams-tailored to your industry and use case, including:
Real-time Annotation for Image Streams
Our real-time image annotation process combines automated labeling with human validation to deliver precise, frame-level outputs. Each image is processed as soon as it’s captured, where AI models first detect objects, classify regions, or extract text. Ambiguous or domain-critical cases are then refined by expert annotators to ensure accuracy. Finally, structured metadata such as timestamps, geolocation, or sensor details is appended, making the annotations ready for immediate ingestion by downstream models or monitoring systems.
Use Cases: Industrial quality inspection, retail shelf tracking, medical imaging, aerial drone surveillance, and manufacturing automation.
Annotation Capabilities:
Real-time Annotation for Video Streams
Our real-time video annotation services deliver continuous, frame-by-frame labeling of live video feeds, allowing systems to track objects, recognize behaviors, and detect events as they happen. The pipeline is built to process high-throughput footage while maintaining temporal consistency and low latency, ensuring accurate insights across rapidly changing video streams.
Use Cases: Autonomous vehicles, live surveillance, robotics navigation, broadcasting compliance, public safety analytics.
Annotation Capabilities:
Real-time Annotation for Audio & Speech Data
We annotate streaming audio to identify speakers, detect sentiment, and generate live transcriptions that integrate directly into downstream systems. Beyond transcription, our annotations capture intent, tone, and contextual cues, providing structured insights from spoken interactions as they occur. By structuring audio data in real time, organizations gain the ability to monitor conversations continuously, surface actionable insights, and automate responses with accuracy and speed.
Use Cases: Customer service, compliance monitoring, smart assistants, transcription services,
Annotation Capabilities:
Real-time Annotation for Text Streams
We annotate live text data to extract sentiment, intent, and entities from varied sources such as chat conversations, social feeds, and transactional messages. By enriching text streams with structured labels, we enable you to detect fraud patterns, automate moderation, and deliver personalized interactions as messages are received. These annotations provide the context required for intelligent automation, enabling systems to respond accurately and adapt in real time.
Use Cases: Chatbots, social monitoring, sentiment tracking, fraud detection, customer engagement platforms.
Annotation Capabilities:
Real-time Annotation for Sensor Data
We annotate continuous streams of IoT and machine-generated signals to detect anomalies, state changes, and operational patterns in real time. By transforming raw telemetry into structured events, we help you gain visibility into equipment performance, environmental conditions, and system behaviors as they happen. These annotations enable predictive maintenance, optimize robotics workflows, and improve fleet and logistics operations by surfacing actionable insights directly from live sensor data.
Use Cases: IoT platforms, robotics, predictive maintenance, logistics, smart infrastructure.
Annotation Capabilities:
Real-time Annotation for Transactional Data
Our real-time annotation services enrich transactional and tabular data with behavioral tags, risk scores, and contextual metadata as each record is created. This gives your fraud detection systems, decision engines, and analytics platforms the intelligence they need to act immediately, before risks escalate or opportunities are missed. By embedding live annotations into your data stream, we help you reduce fraud losses, make faster decisions, and unlock more precise personalization at scale.
Use Cases: Financial fraud detection, e-commerce personalization, supply chain intelligence, and real-time decision systems.
Annotation Capabilities:
Our pipeline is designed for high-speed environments that demand both accuracy and adaptability.
01
Streaming Data Pipeline Integration
Ingest real-time data at scale
We configure and optimize your data infrastructure (e.g., Kafka, Flink, AWS Kinesis) to capture high-volume data streams with minimal latency.
Outcome: Foundation for seamless real-time data processing and annotation.
02
Model-Assisted Labeling
Automate initial annotation with AI
Pre-trained ML models generate first-pass labels, enabling rapid throughput and reducing human workload.
Outcome: Speeds up annotation while keeping costs under control.
03
Human-in-the-Loop (HITL) Validation
Validate and refine with human expertise
Expert annotators step in for tasks requiring nuance, context, or domain-specific judgment, especially in regulated or high-stakes environments.
Outcome: Ensures quality, reliability, and regulatory alignment.
04
Domain-Specific Annotation Expertise
Tailored workflows by vertical
We provide skilled annotators trained in your domain for validation—healthcare, finance, automotive, etc.
Outcome: Accurate, context-aware labels that enhance downstream model performance.
05
Compliance-Ready Data Labeling
Protect sensitive data
We implement PII detection, masking, audit logs, and data localization to meet industry-specific compliance needs.
Outcome: Annotation workflows that are secure, auditable, and policy-compliant.
06
Real-Time Feedback Loop Integration
Close the loop with live model improvement
Labeled data is routed directly to your MLOps stack—supporting live model retraining, drift monitoring, or decision automation.
Outcome: Smarter, faster systems that evolve with your data.
Average annotation latency: <200ms
Annotation accuracy: 95–98% (depending on modality)
Supported throughput: Optimized throughput
Uptime commitment: 99.9%
With 25+ years in data services, we’ve supported Fortune 500 companies and global enterprises in building AI systems fueled by accurate, real-time annotations. Our 500+ specialists handle multimodal data streams under ISO 27001, GDPR, and HIPAA-grade compliance, ensuring security and scale for critical applications. Here’s what sets us apart:
We combine model-assisted labeling with expert human validation to deliver annotations that are both fast and reliable. Built-in QA and real-time feedback loops ensure continuous accuracy in streaming environments—so your models learn and adapt without performance drops.
We align projects with domain-trained specialists—covering fields like finance, healthcare, mobility, and industrial operations—so tasks that demand nuanced understanding are executed with expert-level precision. This ensures that annotations aren’t just accurate, but contextually meaningful for your industry.
Our approach enables annotation workflows up to 10× faster than manual processes while maintaining expert-grade accuracy. This combination of speed and precision allows enterprises to keep up with the velocity of production data without sacrificing quality.
We operate under strict security and compliance standards, including ISO 27001 certification, NDA-backed engagements, and secure infrastructure. Sensitive data is handled with full governance, ensuring trust and regulatory alignment.
With over two decades of operational excellence in data and IT services, we bring deep institutional knowledge to every annotation project. Our legacy in enterprise delivery ensures predictable, SLA-driven performance—even in highly regulated or complex domains.
Our global delivery model ensures that annotation teams operate in sync with your preferred time zone, enabling real-time collaboration, faster turnaround, and seamless communication without delays.
See how we've delivered live annotation across image, video, audio, text, and sensor streams for enterprises.
Traditional annotation involves labeling static datasets and then feeding them into models. Real-time annotation labels data as it is ingested (images, video, audio, or transactions), so models and downstream systems can act immediately without waiting for batches to be processed.
Yes. Our annotation pipelines are optimized for scalability, capable of processing millions of events per second across image, video, audio, text, and sensor data while maintaining accuracy and low latency.
We use a hybrid approach—AI-driven labeling for speed, human-in-the-loop validation for nuance, and continuous QA checks. This combination ensures that accuracy is maintained even in fast-moving, high-volume environments.
Our workflows are built with enterprise security at the core. We support ISO 27001-certified processes, GDPR and HIPAA compliance, data masking for sensitive attributes, audit trails, and secure data localization when required.
We deliver annotations in a wide range of formats, including JSON, CSV, AVRO, XML, and API-based streaming outputs—fully aligned with your downstream systems.