
RestructuredEnterprise AI platform for analyzing information and accelerating knowledge work.
Overview
Key features
- AI-powered document and data analysis
- Information extraction and summarization
- Support for large, mixed content repositories
- Knowledge synthesis for analyst workflows
- Enterprise-grade deployment options
- Structured outputs for downstream use
Pricing
- Model
- Free
- Category
- Data Analysis
- Rating
- 4.8 / 5 (5)
Use cases
Automate Real Estate Workflows
Use Kolena to automate due diligence, lease audits, contract review, and more to increase efficiency in real estate document processes.
Streamline Insurance Claims Processing
Kolena can help insurance companies streamline claims processing, risk profiling, loss run analysis, and policy/COI review to reduce manual effort.
Accelerate Financial Services Workflows
Automate financial model generation, investment memos, and due diligence with Kolena to increase efficiency in financial services document processes.
Improve Banking Compliance and Efficiency
Kolena can help banks automate regulatory review, compliance testing, UCC filings, and loan package review to reduce manual effort and improve compliance.
Pros & Cons
Pros
- Built for enterprise-scale information analysis
- Handles unstructured documents and mixed data sources
- Streamlines research and knowledge work
- Produces structured, decision-ready outputs
Cons
- Geared toward enterprises, not individual users
- Likely requires onboarding and configuration
- Pricing and access details not openly published
Reviews
Average from 5 ratings.
Sign in to leave a review.
Solid for our team
We rolled this out across the team last quarter and produces structured, decision-ready outputs. Information extraction and summarization fits neatly into how we already work, and knowledge synthesis for analyst workflows removed a step we used to do by hand. Pricing and access details not openly published, which is the main caveat, but it has held up under daily use.
Compared a few options
Evaluated this against two competitors. Where it wins: aI-powered document and data analysis and handles unstructured documents and mixed data sources. On balance the feature set — especially aI-powered document and data analysis — justifies the 5 stars for our use case.
Years in this space
I've evaluated a lot of these over the years. What stands out here is information extraction and summarization — handled better than most — and produces structured, decision-ready outputs. Worth the time if this is your use case.
Solid for our team
We rolled this out across the team last quarter and handles unstructured documents and mixed data sources. Enterprise-grade deployment options fits neatly into how we already work, and structured outputs for downstream use removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on structured outputs for downstream use, and produces structured, decision-ready outputs caught me off guard. still, I'd recommend giving it a real trial.
Q&A
What are the key benefits of using Restructured?
Restructured streamlines research and knowledge work, handles unstructured documents and mixed data sources, and produces structured, decision-ready outputs.
Asked by Mia Andersen · Apr 21, 2026
Is Restructured suitable for individual users?
No, Restructured is geared toward enterprises, not individual users.
Asked by Bartek Adamski · Mar 24, 2026
What type of content can Restructured analyze?
Restructured can ingest documents, data, and other content sources, including unstructured information, to surface insights and extract key facts.
Asked by Diego Fernández · Mar 21, 2026
Ask a question
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