vendor connect

Unlock Data Experimentation at Scale

Elevate your data evaluation capabilities with integrate.ai. Designed specifically for insurance carriers, Vendor Connect centralizes your data evaluations, connections with data providers, and data science tooling. Spend less time managing lengthy PoC’s, and more time improving your most critical models.

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Stop Guessing. Start Experimenting

Remove the guesswork associated with evaluating new data sources. With Vendor Connect, you can securely & rapidly experiment with new data products and see the real impact they have on your most critical models.

• Eliminate Lengthy PoCs •

Accelerate the data evaluation process by never having to move your data

• Increase Capacity for Vendor Evaluations •

Replace single vendor PoCs with the capability to evaluate and compare multiple vendors simultaneously in a single project

• Maintain Control of Your Data •

Unlike other privacy preserving methods, raw data never moves out of its local environment, meaning your data always remains secure.

Vendor Projects

Evaluate Multiple Datasets, Simultaneously

Increase your capacity to experiment with third party data and improve model outcomes by conducting one-to-many data evaluations. Say goodbye to limited 1:1 PoCs that don’t tell the full story of a datasets impact. Instead, unlock the ability to evaluate multiple datasets, across different sources, and see how each dataset contributes to model performance.

Alignment Briefs

Own the Evaluation Process & Invite Your Data Partners

Most data evaluation PoCs are a headache. With Vendor Connect, you can take back control of this process. Simply create an alignment brief with your desired features and formats, and invite any number of data vendors in your network to submit their data for evaluation.

Comparison Reporting & Complementary Modeling

Make More Informed Data Purchase Decisions

Traditional data evaluations are restrictive, often forcing you to commit to a purchase decision due to all the time & resources spent evaluating a single product. Because data doesn’t move, Vendor Connect removes these barriers to experimentation, enabling you to test more datasets against your most critical models and identify which data investments will have a real positive impact.

INTEGRATIONS

Seamlessly connects with your favorite data science tools & apps

Lightweight & easy to use with your existing data science technology stack. integrate.ai complements the data science tools you already use to power data experimentation

Azure

Use prepared datasets from Azure Storage in FL modeling and analytics. Use the best in cost efficient serverless technologies to run modeling and analytical tasks.

Snowflake

Use prepared datasets from Snowflake in FL modelling and analytics.

Databricks

Use prepared datasets from Databricks in FL modeling and analytics.

AWS

Use prepared datasets from S3 in FL modelling and analytics. Use the best in cost efficient serverless technologies to run modeling and analytical tasks.

GCP

Use prepared datasets from Google Object Storage in FL modelling and analytics. Use the best in cost efficient serverless technologies to run modelling and analytical tasks.

Jupyter

Configure and control FL modelling and analytics using our SDK in your Jupyter notebook

Cross-Cloud

On-Prem

Rapid Deployment

AI/ML Ready

Your data privacy, prioritized

Integrate.ai's federated data science platform enables collaborative data experimentation between data providers and consumers without compromising data privacy.

Data Never Moves

Unlike other privacy preserving methods in a federated data science system, raw data never moves out of the local environment, meaning your data always remains secure.

No Individual Data Exposure

No two parties can ever access individual data records from any participating dataset. Instead, they can only train models and perform analyses with full privacy-protection of the original data.

Rich Data Governance

Both parties can decide what data can be used for which tasks at what time. They are able to grant or revoke permission to any dataset at any time.

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