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When your AI model is data-driven, accuracy is not an option, it’s a necessity. That’s where we come in. Jellyfish Technologies offers AI Data Annotation Services tailored for next-gen AI applications. Our team carefully labels every tag, frame and element, giving your algorithms the structured input they need to perform in real-world scenarios.
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We deliver high-quality, cost-effective data labeling and annotation solutions that fuel intelligent automation. From structured inputs, our AI data annotation solutions help with model learning, offering accurate, efficient, and enterprise-grade capability.
We offer premier image annotation services using bounding boxes, polygons, and segmentation to help AI models detect objects, classify images, and ensure accurate computer vision performance at scale.
Our audio annotation specialists transcribe and annotate speech data by accent, speaker, and tone to help voice AI models recognize spoken language, enhance precision, and support multilingual voice applications.
We tag entities, sentiment, and intent in unstructured text, helping natural language processing models understand language, extract meaning, and automate content analysis for large-scale applications.
We annotate videos frame by frame to label actions, movements, and objects, training AI models for use in surveillance, autonomous navigation, behavior identification, and advanced video content comprehension.
We annotate LiDAR and point cloud data using cuboids, lines, and segmentation—enabling AI to understand depth, recognize objects, and operate in complex environments like autonomous driving and robotics.
We provide synchronized annotation across text, image, audio, and video, building training datasets that power AI systems capable of interpreting cross-modal data and delivering contextual, intelligent responses at scale
AI is only as robust as the approach guiding it. Our team combines technical excellence with domain insight to deliver AI-driven solutions that optimize workflows, improve decision-making, and hasten digital transformation.
Jellyfish Technologies partnered with a global enterprise to develop an AI-powered SaaS platform, integrating AI models, automation, and real-time analytics to optimize workflow automation, customer engagement, and data-driven decision-making.
TECH: Python | LangChain
Jellyfish Technologies partnered with a global enterprise to develop an AI-powered SaaS platform, integrating AI models, automation, and real-time analytics to optimize workflow automation, customer engagement, and data-driven decision-making.
Jellyfish Technologies built an AI-powered document intelligence system for a leading community care provider, using NLP, OCR, and machine learning to automate validation, enhance accuracy, and streamline Medicaid approvals while reducing errors and fraud.
TECH: NLP | OCR | Python
Jellyfish Technologies built an AI-powered document intelligence system for a leading community care provider, using NLP, OCR, and machine learning to automate validation, enhance accuracy, and streamline Medicaid approvals while reducing errors and fraud.
Jellyfish Technologies partnered with a top InsurTech firm to build an AI-powered entity extraction system. Using AI models, OCR, and GraphDB, the solution seamlessly automates document verification, reduces manual effort, and enables real-time data extraction.
TECH: Gen AI | Neo4J | OCR
Jellyfish Technologies partnered with a top InsurTech firm to build an AI-powered entity extraction system. Using AI models, OCR, and GraphDB, the solution seamlessly automates document verification, reduces manual effort, and enables real-time data extraction.
Jellyfish Technologies built an AI-powered track monitoring system using computer vision and edge computing. It detects obstacles, identifies faults, reduces manual inspections, and enables proactive maintenance with real-time processing and seamless integration.
TECH: OPENCV | ONNX
Jellyfish Technologies built an AI-powered track monitoring system using computer vision and edge computing. It detects obstacles, identifies faults, reduces manual inspections, and enables proactive maintenance with real-time processing and seamless integration.
Generic outsourcing won’t scale AI. That’s why our data annotation services combine contextual tagging, project-specific QA, and industry logic to create accurate datasets and position your machine-learning models for high performance.
We deliver precisely labeled data that’s ready for immediate use in training AI models. This reduces rework, cuts errors, and improves prediction scores, resulting in higher accuracy and faster development cycles for your team.
Our annotation infrastructure scales seamlessly, whether you have thousands or millions of data points. This ensures timely delivery, even in the tightest timelines, empowering the enterprise to grow without compromising speed, cost efficiency, or data quality.
Our workflows aren’t one-size-fits-all, just like your data isn’t. Every annotation project is customized to your model type, accessibility needs, and regulatory requirements, allowing you to maintain relevance, control, and complete business alignment.
Our annotation outputs plug directly into your machine learning environment—no formatting, no lag. That simplifies data movement, speeds up the actual deployment of AI, and minimizes engineering overhead—so your team can build, not break things.
Generic outsourcing won’t scale AI. That’s why our data annotation services combine contextual tagging, project-specific QA, and industry logic to create accurate datasets and position your machine-learning models for high performance.
We deliver precisely labeled data that’s ready for immediate use in training AI models. This reduces rework, cuts errors, and improves prediction scores, resulting in higher accuracy and faster development cycles for your team.
Our annotation infrastructure scales seamlessly, whether you have thousands or millions of data points. This ensures timely delivery, even in the tightest timelines, empowering the enterprise to grow without compromising speed, cost efficiency, or data quality.
Our workflows aren’t one-size-fits-all, just like your data isn’t. Every annotation project is customized to your model type, accessibility needs, and regulatory requirements, allowing you to maintain relevance, control, and complete business alignment.
Our annotation outputs plug directly into your machine learning environment—no formatting, no lag. That simplifies data movement, speeds up the actual deployment of AI, and minimizes engineering overhead—so your team can build, not break things.
Backed by cross-industry experience, our data annotation services India deliver value beyond labeling—bringing technical depth, operational consistency, and quality frameworks tailored to meet your AI model’s training needs.
Our data annotation services are tailored to your industry and AI model objectives, ensuring each dataset delivers measurable value, faster training, and stronger outcomes in real-world machine learning applications.
As a leading data annotation company, we provide expert services for annotating images, videos, audio, and text, enabling diverse use cases and allowing your AI systems to learn from highly accurate and structured data.
We combine advanced data annotation tools with specialist-led QA to ensure scalable, high-quality data labeling and annotation services that accelerate time to market and reduce costly rework.
From healthcare to autonomous systems, our machine learning data annotation workflows are entirely configurable—designed to process any data type, domain, or security requirement efficiently, accurately, and consistently.
Our data annotation solutions are designed for seamless integration with leading data annotation platforms and machine learning pipelines, making it easy to move from raw input to model-ready training data.
We don’t just label data—we stay with you. As your model develops, our team improves outputs, grows projects, and optimizes your AI annotation services to ensure long-term performance and economic benefits.
From self-driving cars to medical AI, our data annotation services power high-stakes industries with structured, high-quality datasets specifically designed for precision, compliance, and production-ready performance across various use cases.
We combine annotation automation, QA tooling, and cloud-native infrastructure, providing you with a dependable and scalable tech foundation that ensures correctness and speeds up datasets for high-performance AI development.
Tensorflow
Streamlit
RAY
PyTorch
ONNX
MLflow
MetaGPT
LlamaIndex
JAX
Haystack
Gradio
Flask
AWS
AZURE
GCP
Cohere
Dalle
Databricks
Mistral
OpenAI
Replicate
Runpod
Salad
Vast AI
Coqui
Deepspeed
Fairscale
LoRa
Xformers
LobeHub
Clients choose our data annotation firm for more than just labeling; they appreciate our process transparency, subject expertise, and swift adaptability to evolving AI model needs and timelines.
Launch faster with high-quality, labeled data. Our AI data annotation tools enable you to go boldly from R&D to scaled AI implementation across sectors, rapidly train models, and minimize rework.
Trusted by startups, enterprises, and global teams, our AI data annotation tools provide consistent datasets that enable your AI projects to have precise labeling, hence improving model correctness and lowering rework for quicker deployment.
At Jellyfish Technologies, we offer flexible engagement models tailored to your business objectives, technical requirements, and budget. Whether you need full-time experts, on-demand specialists, or a defined project scope, we’ve got you covered.
Ideal for long-term partnerships, our offshore dedicated team model provides you with full-time access to seasoned AI data annotation engineers who work exclusively on your project, just like an in-house team, but with absolutely no overhead.
Best suited for companies with clear goals and defined timelines, our project-based model delivers end-to-end AI data annotation solutions from planning to deployment, on a fixed budget, with full accountability and milestone-oriented progress tracking.
Our project-based delivery model suits companies with clearly defined objectives and timelines for deploying a complete AI annotation solution — from planning to deployment — on a fixed budget, with 100% accountability and progress tracked at milestones.
We deliver precision at scale. Combining expert teams, bespoke workflows, and multi-stage QA, our annotation services generate consistent, high-quality data, powering accurate AI training and enabling businesses to accelerate from raw input to production-grade intelligence.
Our image annotation services company in India is AI vision-ready. From object detection to semantic segmentation, we provide pixel-level accuracy by leveraging domain-specific methodologies, endowing computer vision models with the much-needed visual acuity required for real-time detection, learning, and action.
We use a versatile tech stack, including CVAT, Labelbox, and custom-built tools, adaptable to any format or volume. Our platforms are safe, API-compatible, and optimized for intelligent workflows that allow you to get labeled data faster and with less overhead.
Yes—it’s built for scale. Whether the task is labeling thousands or millions of data points, our platform provides rapid throughput, automates your workflow, and offers real-time tracking, so you can receive consistent, enterprise-grade annotation without sacrificing speed or quality.
We're not just a service provider—we're a strategic AI partner. With deep domain knowledge, flexible delivery, and airtight QA, we fuel team efforts to build better models through clean, contextual, and consistent data annotation that scales confidently.
Our audio annotation services support multi-language AI with linguistic precision. Native annotators, smart tagging, and contextual labeling ensure that even nuanced speech, accents, and dialects are accurately captured for training multilingual voice recognition systems.
Your data stays safe, always. We enforce strict access controls, encryption, secure cloud environments, and NDA-backed teams. Whether it's PII or proprietary training data, security and compliance are baked into every step of our annotation workflow.
Quality is our signature. Every dataset is subject to layered QA, expert validation, and AI-assisted checks to remove bias and errors. The result? We provide clean, structured annotations that translate directly into measurable performance gains in your AI models.
Yes—fully. Whether by annotating radiology scans, legal transcripts, autonomous driving footage, and more, we tailor our annotation workflows to fit your industry, data type, and model needs — delivering maximum relevance, accuracy, and value at every stage.
Choose expertise over volume. The right data annotation company combines scalable solutions, technological expertise, subject knowledge, and process transparency. At Jellyfish Technologies, we transform complex data into intelligent inputs your AI can learn from. Among leading data annotation companies in India, we focus on delivering outstanding service that yields AI-driven results.
Partner with our specialists to streamline data labeling, reduce bias, and boost model accuracy with human-in-the-loop precision.
Partner with our specialists to streamline data labeling, reduce bias, and boost model accuracy with human-in-the-loop precision.
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