Financial Services
Track emerging tech adoption and investment.
Gain insights into technology trends and investment strategies — automated data access from global venture capital and innovation hubs
SOURCES
What InsurTech sources do we read?
We monitor critical data from leading sources such as PitchBook, CB Insights, Crunchbase, Statista, and InsurTech Hub. These platforms provide insights into emerging technology adoption rates, strategic investment patterns, and new InsurTech business models. Our monitoring focuses on key columns like ReportTitle, Funding, and BusinessModel, ensuring you receive the most relevant and timely information.
100x faster
than manual data collection
DATASET
What InsurTech data does it find?
The structured dataset includes essential columns such as id, Source, Company, AdoptionIndicator, and LastUpdated. This comprehensive data allows for detailed tracking of investments and trends in the InsurTech sector. By analyzing these data types, you can uncover valuable insights into the evolving landscape of technology adoption.
90%
faster than manual audits.
ANALYTICS
Understanding the InsurTech dataset
Our dashboard features 12 insightful widgets designed to visualize the latest trends in InsurTech. You can explore metrics like Total Investments in InsurTech (2026), Emerging Technology Adoption Rates Over Time, and the Top 5 InsurTech Business Models by Funding. Each widget provides a unique perspective, helping you make informed decisions based on current data.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get InsurTech alerts?
Stay updated with our enabled alert rule, which ensures you receive timely notifications on significant changes in the InsurTech landscape. Whether it's a new funding round or a shift in adoption rates, our system keeps you informed. Alerts can be customized to fit your specific interests within the InsurTech domain.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does InsurTech data go?
Our product seamlessly integrates with various platforms, including API, Email, Databricks, and Power BI. With these integrations, you can easily access and analyze the structured data on emerging technology trends. This flexibility allows you to incorporate insights directly into your existing workflows and reporting systems.
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
