Technology
Continuous data on advanced polymers and patents.


Gain insights into emerging polymer innovations and IP trends — automated tracking that surpasses manual research methods
SOURCES
What polymer sources do we read?
We monitor a diverse range of sources including ScienceDirect, Springer, MDPI, ResearchGate, and Google Patents to gather insights on emerging advanced polymer materials, manufacturing process innovations, and intellectual property filings. This comprehensive coverage ensures that you receive continuous updates on the latest advancements in materials science, competitor R&D announcements, and relevant patent filings from across the globe.
100x faster
than manual data collection
DATASET
What polymer data does it find?
Our structured dataset includes crucial columns such as id, Source, Title, Authors, Affiliation, Abstract, Publication Date, DOI, License, Last Updated, and Status. This normalized dataset allows for in-depth analysis of the latest polymer innovations and patent activity, providing a clear view of the evolving landscape in materials science.
90%
faster than manual audits.
ANALYTICS
Understanding the polymer dataset
The dashboard features a variety of analytical widgets, including metrics like Total New Polymer Innovations and Total Patent Filings This Month. Additionally, visual representations such as the Emerging Material Trends Over Time line chart and the Top 5 Companies by R&D Announcements bar chart provide valuable insights into trends and competitive dynamics in the polymer sector.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get polymer alerts?
Stay informed with our enabled alert rules that notify you of significant updates in polymer innovations and patent filings. With 1 active alert rule, you can receive timely notifications via your preferred channels, ensuring you never miss critical developments in the field.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does polymer data go?
Our monitoring solution seamlessly integrates with various platforms, including API, Email, BigQuery, and Salesforce, facilitating efficient data management and analysis. With these integrations, you can easily incorporate the structured data into your existing workflows and enhance your decision-making processes.
100+
SERVICES TO CONNECT
INITIAL DEPLOYMENT
Limited-scope pilot
You can get started with free test data instantly!
Exact pilot scope and pricing depends on the geographic ranges and data breadth.
Most teams land around €3,000/month for these scoped deployments.
"Jsonify has saved us thousands of hours of manual data collection. The core AI data platform is powerful and versatile, automating nearly every process we need."

Cole Gottdank
Co-Founder, Helicone, YC W23
FAQ
Is Jsonify just a web scraping tool?
No. Jsonify is a market intelligence platform that collects publicly available web data and then processes, normalizes, and analyzes it to produce structured insights. While Jsonify uses automated agents to access public webpages and documents, the core value of the platform lies in what happens after collection: extracting structured product and price data, matching it to real SKUs, tracking changes over time, and delivering analytics through dashboards, exports, and APIs. Jsonify does not simply retrieve raw webpages. It transforms publicly accessible information into actionable intelligence for business use, under customer-defined instructions and compliance controls.
What kind of data can Jsonify collect?
Jsonify collects publicly available product and market data from the web, such as product listings, prices, availability signals, menus, catalogs, and related commercial information. This includes data from retailers, ecommerce sites, marketplaces, venues, and other public sources relevant to market visibility and competitive analysis.
How does Jsonify turn raw web data into something usable?
After collecting data, Jsonify extracts structured information, normalizes inconsistent naming, and matches it to real products or SKUs. The platform then aggregates and analyzes this data over time, making it usable through dashboards, charts, exports, or APIs — rather than leaving you with raw pages or unstructured text.
What makes Jsonify different from basic scraping or monitoring tools?
Most tools either collect raw data or monitor individual pages. Jsonify goes further by operating at scale across many sources, handling messy real-world data, matching it to product catalogs, and delivering analytics that answer business questions like coverage, pricing, and competitive presence — not just “what changed on a page.”
What kinds of use cases does Jsonify support?
Jsonify is used for market visibility and competitive intelligence use cases such as tracking product presence, pricing, and availability across markets; monitoring launches and distribution gaps; benchmarking competitors; and understanding how products are represented across channels and geographies.
How do teams actually use the outputs?
Teams use Jsonify through interactive dashboards in Jsonify Studio, scheduled exports (CSV or Excel), or APIs that feed internal BI tools and workflows. This allows insights to be shared across trade marketing, sales, category management, ecommerce, and analytics teams.
How quickly can Jsonify be set up?
Jsonify does not rely on rigid templates or manual page configuration. Once target sources and products are defined, data collection and analysis can begin quickly, with initial results often available in days rather than months. Coverage and update frequency can then be expanded over time.
USECASES






