Performance Speaks
Louder Than Pitching
Performance Speaks
Louder Than Pitching
Performance Speaks
Louder Than Pitching
Let investors find your datasets through
proven results
Let Investors Find Your Datasets Through Proven Results
Make Every Trial Count
Make Every Trial Count
We qualify buy-side demand so you can focus on accounts that convert
We qualify buy-side demand so you can focus on accounts that convert
Product Intelligence
Learn where your data adds predictive value and understand its role in buy-side models.
New Inbound Channel
Reach new buy-side audiences who have already seen your data’s value in their workflow.
Faster Sales Cyles
Funds onboard already validated data with Quanted’s onboarding code and utilisation instructions.
Product Intelligence
Learn where your data adds predictive value and understand its role in buy-side models.
New Inbound Channel
Reach new buy-side audiences who have already seen your data’s value in their workflow.
Faster Sales Cyles
Funds onboard already validated data with Quanted’s onboarding code and utilisation instructions.
Onboarding
Without Overhead
Our Fastest Onboarding Pipeline Yet
Onboarding takes minutes through a semi-automated flow supervised by our team every step of the way
Onboarding takes minutes through a semi-automated flow supervised by our team every step of the way
Upload Data
You upload your files, and our agent structures and profiles them. We identify formats, key fields, and data quality patterns, then share a clear summary for your review.
Upload Data
You upload your files, and our agent structures and profiles them. We identify formats, key fields, and data quality patterns, then share a clear summary for your review.
Upload Data
You upload your files, and our agent structures and profiles them. We identify formats, key fields, and data quality patterns, then share a clear summary for your review.
Add Context
Using your data’s domain, we search academic and industry research to uncover how similar datasets have been used before. Our team reviews each source for relevance.
Add Context
Using your data’s domain, we search academic and industry research to uncover how similar datasets have been used before. Our team reviews each source for relevance.
Add Context
Using your data’s domain, we search academic and industry research to uncover how similar datasets have been used before. Our team reviews each source for relevance.
Insight Retrieval
The system connects your dataset’s variables to research patterns, followed by a human review to validate the relevance of each suggestion.
Insight Retrieval
The system connects your dataset’s variables to research patterns, followed by a human review to validate the relevance of each suggestion.
Insight Retrieval
The system connects your dataset’s variables to research patterns, followed by a human review to validate the relevance of each suggestion.
Research Summarization
We distil everything gathered so far into two short summaries: one about your dataset, and one highlighting promising signals from the research. These become the foundation for feature ideas.
Research Summarization
We distil everything gathered so far into two short summaries: one about your dataset, and one highlighting promising signals from the research. These become the foundation for feature ideas.
Research Summarization
We distil everything gathered so far into two short summaries: one about your dataset, and one highlighting promising signals from the research. These become the foundation for feature ideas.
Feature Design
The agent proposes new feature ideas based on the summaries, and our data experts review them with you, approving only those that make practical sense.
Feature Design
The agent proposes new feature ideas based on the summaries, and our data experts review them with you, approving only those that make practical sense.
Feature Design
The agent proposes new feature ideas based on the summaries, and our data experts review them with you, approving only those that make practical sense.
Feature Validation
Approved features are automatically turned into production-ready Python code. Our team runs validation checks to confirm the pipeline performs as expected before integration into data lake.
Feature Validation
Approved features are automatically turned into production-ready Python code. Our team runs validation checks to confirm the pipeline performs as expected before integration into data lake.
Feature Validation
Approved features are automatically turned into production-ready Python code. Our team runs validation checks to confirm the pipeline performs as expected before integration into data lake.
Our Referral Process
Receive Referrals Automatically
Receive Referrals Automatically
From our data lake to your sales team's inbox in three simple steps
From our data lake to your sales team's inbox in three simple steps
STEP 1
STEP 2
STEP 3
01
Tested By Funds
Hedge funds test all partner data in our data lake within their modeling workflows. When your data adds value, they request a referral.
STEP 1
STEP 2
STEP 3
01
Tested By Funds
Hedge funds test all partner data in our data lake within their modeling workflows. When your data adds value, they request a referral.
STEP 1
STEP 2
STEP 3
01
Tested By Funds
Hedge funds test all partner data in our data lake within their modeling workflows. When your data adds value, they request a referral.
Get Your Data In Front Of Funds
Get Your Data In Front Of Funds
Get Your Data In Front Of Funds
The fastest path to fund visibility starts with a discovery call
The fastest path to fund visibility starts with a discovery call
The fastest path to fund visibility starts with a discovery call
B2B Data
+13%
Interest
ESG
Sentiment
Population
Transactions
+5%
IoT Devices
IoT Devices
Macro
Commodity
+3%
Trends
Equities
+8%
Prospect
What Vendors Ask Us
What Vendors Ask Us
Topics that frequently come up in conversations with vendors
Topics that frequently come up in conversations with vendors
How does Quanted’s commercial model work?
How do you handle data confidentiality and IP protection?
Do you resell or redistribute our data?
What are Quanted’s data requirements and submission process?
When do we start seeing referrals, and how are they delivered?
How much data is needed for your platform to work, and how do we send it to you?
Can we see how our data is being tested or where it’s showing up?
How does Quanted’s commercial model work?
How do you handle data confidentiality and IP protection?
Do you resell or redistribute our data?
What are Quanted’s data requirements and submission process?
When do we start seeing referrals, and how are they delivered?
How much data is needed for your platform to work, and how do we send it to you?
Can we see how our data is being tested or where it’s showing up?