Powering the
Data Economy

Spectre is an AI-powered data platform designed to manage and monitor critical production-grade data.

Thanks for submitting!

Group 480954178.png
 

TRUSTED BY

LightBox.Logo_.png
Relativity6
Share This.png
Enigma
Rorange
Group 48095334.png
whiteneon 1.png
homepage_logo.09b06e44 1.png
2399080-1LOGO 1.png
intellizence

ABOUT

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.  

Group 480954139.png

Data Productization

Spectre productizes batch data streams and APIs and integrates them directly into your data stack. 

Group 480954140.png

Pipeline Management

Spectre orchestrates data ingestion, cleaning, and normalization pipelines so that you don’t have to.  

Group 480954141.png

Data Monitoring

Spectre monitors all data and jobs across several dimensions and routes alerts appropriately. 

With Spectre

Background-1.png
Logo.png
With Spectre.png

Without Spectre

Background.png
Without Spectre.png

KEY FEATURES

Group 480954225.png

Our Solution

Group.png

Spectre Data Management

  • Pre-built common data and enterprise system integrations ready out-of-the-box

  • Productization of batch data streams and APIs integrated directly into your data stack

  • Registration, version control, and computational resources guaranteeing reliability at every stage

carbon_data-vis-1.png

Spectre Data Quality Monitoring

  • Ongoing AI-powered data quality monitoring

  • Automatic dataset evaluation for freshness, volume, completeness, and more

  • Comprehensive root cause analysis for data quality failures

carbon_report-data.png

Spectre Data Pipeline Management

  • Seamlessly normalize and clean raw data

  • Easily enrich data from internal and external sources to deliver continuous insights

  • Quickly create ETL pipelines on Spectre. Automatically gain insights into your data by measuring quality, running ML inference, and extracting metadata

Manage your data with Spectre

Effortlessly manage the flow of your data by streamlining data quality management and data pipeline management into a simple, unified, autonomous solution.

KEY FEATURES

Data Engineering

Our AI-powered solution can solve your data engineering needs! We help data engineering teams with:

Group 480954258.png

Data Orchestration

  • Specifying scheduled data workflows and dynamically trigger data jobs as configured 

  • Deploying new containerized versions directly from code

  • Accounting for data dependencies and data quality

Data Operations

  • Improving the observability of data flow between datasets, jobs and quality checks

  • Triaging when a process fails or an issue occurs with a dataset

  • Rerunning of portions of the data network that were paused during a period of unhealthy dataa

Data Quality Assurance

  • Monitoring of critical data to detect issues and anomalies that are hard to predict

  • Prioritizing data issues based on SLAs and data importance

  • Preventing unhealthy data from contaminating downstream systems

Vector.png

ROADMAP

Group (1).png
Roadmap

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.

Contact Us

Thanks for submitting!