Unlock the value of AI with enterprise unstructured data.
Curate, label, and enrich unstructured data faster to fine-tune enterprise AI models securely and with higher accuracy.
Accelerate AI adoption by eliminating data bottleneck with our one-stop solution.
Customize your AI models for better capabilities with our data curation and labeling expertise. Structer has helped companies build and fine-tune domain-specific LLMs based on enterprise unstructured data that is business confidential and stored in raw formats.
Data Labeling and Annotation
Structer platform offers cost-effective, highly scalable, and accurate automated data labeling. Leverage our network of domain expert annotators and streamlined workflow.
Data Curation
Obtain AI-ready JSON datasets of prompt-response pairs from your private enterprise data or industry-specific unstructured sources.
Synthetic Data Enrichment
Power AI models with our synthetic data enrichment: increase accuracy, eliminate training biases, and ensure privacy compliance in one solution.
Fine-tune LLM
Fine-tune and customize LLMs with high-quality data to enhance performance for specific business use cases.
RHLF
Augment your model with reinforcement learning from human feedback (RLHF) to operate consistently and efficiently in different scenarios.
RAG
Build RAG-based LLMs by integrating the latest data into model responses using vector databases, and minimize hallucinations.
Build AI faster with the first GenAI data platform designed for unstructured data.
Create high-performing models with high-quality data.
Data Labeling and Annotation
Structer's AI-based labeling capability with human-in-the-loop is 100x faster than traditional labeling and highly accurate and scalable. Easily customize our models to adapt to your specific annotation requirements.
Data Curation
Structer delivers advanced curation and annotation solutions to create top-quality training data for your AI models. Extract, slice, and prepare smaller datasets like prompt-answer pairs from your raw unstructured data.
Synthetic Data Enrichment
Structer augments the training data with realistic characteristic properties to enhance your model performance and not allow regulations and lack of real-world data for specific scenarios to hinder AI adoption.
Deploy and run Structer locally and securely in your own environment in a few simple steps. It has Python SDK and UI.
It offers complete confidentiality of your business data with full compliance and security.
Pricing plan
Pay for what you use only.
Customer testimonials
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Brian Thompson
CEO – Technology Company
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Kevin Martinez
CTO – Financial Service Company
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Ethan Davis
ML Lead – Technology Company
FAQs
For text it can process PDF, WORD, TXT and PPT files. For images, it can process PNG, JPG, and PPT files.
1000 data units by using the Structer UI and 20 000 data units using the Pythong SDK.
Absolutely. You can mix self-labeling for certain batches with outsourcing others to Scale’s professional team for efficiency and quality balance.
Yes, you can. Structer enables you to integrate your team into our platform, complete with training modules and performance tracking.
No, you will be charged based on the number and type of label units and not per number of annotators.
Still have questions?
Structer curates and enhances your enterprise data to build the most effective AI models.
The success of enterprise AI hinges on domain-specific data and the business's proprietary data.