Powering the
Data Economy
Spectre is an AI-powered data platform designed to manage and monitor critical production-grade data.
TRUSTED BY
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Streamline data productization, drive accelerated business value.
The Spectre data platform manages your production-grade data ensuring that it is reliably sourced, seamlessly integrated with your internal systems, and monitored for good quality.
Data Productization
Spectre productizes batch data streams and APIs and integrates them directly into your data stack.
Pipeline Management
Spectre orchestrates data ingestion, cleaning, and normalization pipelines so that you don’t have to.
Data Monitoring
Spectre monitors all data and jobs across several dimensions and routes alerts appropriately.
With Spectre
Without Spectre
KEY FEATURES
Our Solution
Spectre Data Management
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Pre-built common data and enterprise system integrations ready out-of-the-box
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Productization of batch data streams and APIs integrated directly into your data stack
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Registration, version control, and computational resources guaranteeing reliability at every stage
Spectre Data Quality Monitoring
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Ongoing AI-powered data quality monitoring
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Automatic dataset evaluation for freshness, volume, completeness, and more
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Comprehensive root cause analysis for data quality failures
Spectre Data Pipeline Management
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Seamlessly normalize and clean raw data
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Easily enrich data from internal and external sources to deliver continuous insights
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Quickly create ETL pipelines on Spectre. Automatically gain insights into your data by measuring quality, running ML inference, and extracting metadata
KEY FEATURES
Data Engineering
Our AI-powered solution can solve your data engineering needs! We help data engineering teams with:
Data Orchestration
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Specifying scheduled data workflows and dynamically trigger data jobs as configured
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Deploying new containerized versions directly from code
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Accounting for data dependencies and data quality
Data Operations
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Improving the observability of data flow between datasets, jobs and quality checks
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Triaging when a process fails or an issue occurs with a dataset
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Rerunning of portions of the data network that were paused during a period of unhealthy dataa
Data Quality Assurance
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Monitoring of critical data to detect issues and anomalies that are hard to predict
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Prioritizing data issues based on SLAs and data importance
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Preventing unhealthy data from contaminating downstream systems
ROADMAP
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Data Operations Hubs
Our data operations hub will be available for larger scale use cases involving complex data and ML scenarios with interconnected dependencies.
Connectors & Integrations
Connectors and integrations to most commonly used enterprise and data systems for simplified onboarding to the Spectre platform.
ML Data Service Suite
Our Machine Learning Data Service Suite can be run as an added layer that performs data science tasks such as anonymization, entity extraction, and annotation on data at any step of every Spectre ETL pipeline.