enteprise ready

Stay in your favorite, secure AI/ML environment and share model documentation easily.

Enterprise grade security and ecosystem.

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Works with your favorite AI/ML tools

Drop Vectice into your stack and start documenting your models in minutes

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Meet IT standards

and easily integrate via open API

Deployment

Deploy Vectice in your private cloud or use our SAAS environment

SaaS environment provides a cloud-native web app compliant with SOC2 (Type-II) standards, maintaining the same functionality, performance, and security. Flexible deployment options on Kubernetes cluster to fit your infrastructure needs with Virtual Private Cloud.

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Security

Ensure all data and IP remains private and secure.

Best-in-class security with SAML-based Single Sign-On (SSO), automatic user provisioning, and Role-Based Access Control (RBAC). Storing metadata and encrypting everything at rest and in-transit ensures all your confidential data remains secure.

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Open API

Leverage API to instrument your modeling and deployment pipelines

Pipeline instrumentation through the API ensures smooth and efficient collection of metadata from automated pipelines, to ensure documentation creation during modeling and deployment of models.

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Data Sources

Automatically gather datasets metadata from common datasources

Leverage a wide variety of data sources, both structured and unstructured, to facilitate comprehensive metadata gathering for all datasets. Easily extensible to add new data sources as needed.

Interoperability

Interact with your existing enterprise collaboration and documentation tools

Use existing workflows with out-of-box integration with enterprise tools: Office365, Google productivity suite, Confluence, JIRA and others…

Hear why customers love Vectice

“Vectice has revolutionized the way our data science teams operate. The platform's Data Science documentation and collaboration features have improved our productivity. The comprehensive documentation provided by Vectice ensures that our knowledge is secured and well managed, while moving faster with our AI/ML initiatives.”

VP Global Data Analytics

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“When we looked at Vectice, it really stood out. It not only saves time, it also provides all sorts of lineage and versioning capabilities integrated during the model development process itself. We looked at what else is on the market today, and found nothing looks as good as Vectice.”

Vice President

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Enterprise Grade
IT & Security

Instrument Model Training & Deployment Pipelines

Utilize Vectice APIs for easy instrumentation of model training and deployment pipelines, ensuring smooth and efficient metadata collection..

Use Vectice’s API to log all your models, datasets, versions, data transformation, lineage from your spark or python model training and serving pipelines, enabling automatic documentation and metadata collection of your automated jobs.

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Efficiency

Facilitate debugging by keeping track of all versions and changes.

Streamline the metadata collection process from model pipelines.

Reduce manual effort through automatic documentation.

Propagate security permissions from your Identity and Access Management System (IAM)

Ensure consistent and secure access to AI projects and documentation by propagating security permissions from your IAM system.

Utilize Vectice’s security features, including SAML-based Single Sign-On (SSO), automatic user provisioning, and Role-Based Access Control (RBAC), to manage and enforce security permissions. Permissions typically come from an enterprise's Identity and Access Management (IAM) system, such as Active Directory or LDAP, and need to propagate across all AI/ML projects and documentation in Vectice.

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Governance

Protect AI projects information with robust encryption and access controls.

Simplify the implementation and management of security permissions across various systems and projects.

Meet internal security standards

Integrate with your data warehouse or data lake using out-of-the-box connectors or extending Vectice APIs.

Facilitate seamless integration with your data warehouse to ensure comprehensive metadata collection and management.

Utilize Vectice’s out-of-the-box connectors or extend its APIs to integrate with your data warehouse, enabling automatic metadata gathering from structured and unstructured data sources.

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Efficiency

Easy to implement with out-of-the box connectors or custom extensions as needed

Improve metadata collection performance

Integrate with bespoke systems and legacy stores

Translate technical model monitoring data into plain English reports

Use Vectice to create easy-to-understand model monitoring reports that are accessible to business stakeholders, enhancing collaboration and review processes.

Leverage Vectice’s reporting capabilities to translate technical monitoring data into plain English reports that highlight key metrics and insights, making them accessible to non-technical stakeholders.

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Collaboration

Improve collaboration between operation, data science and business teams

Facilitate easier review and decision-making processes

Streamline documentation and review process for models in production