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Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Observo AI Data Pipeline Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Alteryx Professional Services 2345 $1.0B United States Observo AI Observo AI Data Pipeline Security Information and Event Management (SIEM) 2024 n/a
In 2024, Alteryx deployed Observo AI Data Pipeline to optimize security telemetry ingestion into Azure Sentinel and Snowflake within the United States. The Observo AI Data Pipeline was positioned to support Security Information and Event Management (SIEM) workflows by separating high value detection events from full fidelity archives and by extending retention horizons beyond prior operational limits. The implementation incorporated ingestion and enrichment capabilities, event classification and routing, and archival orchestration as core functional modules, reflecting standard security observability pipeline patterns. Observo AI Data Pipeline performed selective enrichment and prioritization of events before forwarding, while simultaneously preparing full fidelity log streams for long term storage and analytics. Architecturally the deployment connected the pipeline directly into Azure Sentinel for detection and alerting, and into Snowflake plus a vendor agnostic data lake for long term storage and queryable archives. The configuration focused on routing high value events to detection platforms and offloading bulk telemetry to the data lake and Snowflake, reducing Sentinel ingestion load and preserving forensic log fidelity in a neutral storage tier. Operational scope covered security operations and incident response workflows in the United States, with configuration and retention policies adjusted to move from 90 day working retention to over a year of archived logs. Governance changes included updated ingestion policies and event prioritization rules to ensure security engineering and SOC teams received enriched, high signal events while archived data remained available for forensic and analytics use. Outcomes reported from the deployment include a reduction in Sentinel ingested volume of approximately 78 percent, a reduction in combined Azure and Snowflake consumption costs in excess of 50 percent, extension of log retention from 90 days to over a year, and improvements in incident detection and mean time to respond of approximately 35 percent by enriching and routing high value events to detection platforms while archiving full fidelity logs to a vendor agnostic data lake.
Bill.com Professional Services 2056 $1.5B United States Observo AI Observo AI Data Pipeline Security Information and Event Management (SIEM) 2024 n/a
In 2024 Bill.com deployed Observo AI Data Pipeline within its Security Information and Event Management (SIEM) tooling to support the finance and financial operations environment in the United States. The implementation positioned Observo AI Data Pipeline as a centralized ingestion and observability layer for security telemetry, with configuration focused on noise reduction and selective forwarding of high fidelity events. Observo AI Data Pipeline was configured to filter noisy telemetry streams before SIEM ingestion, reducing downstream ingestion volumes and costs. The deployment routed full fidelity data to a low cost S3 data lake while sending optimized, normalized telemetry to the SIEM, preserving forensic and hunting data without inflating Splunk ingestion. Integration points included Splunk as the primary analytics and correlation platform and Amazon S3 as the long term storage tier, with a migration completed in three weeks. The switch cut Splunk ingestion by over 50 percent, and operational reports noted improved threat detection and SOC efficiency alongside lower SIEM spend. Governance focused on centralizing ingestion controls and updating SOC workflows to consume tiered telemetry from the Observo AI Data Pipeline and the S3 data lake. Rollout was scoped to the finance and financial operations domain in the United States, with phased data routing and observability rules to enforce consistent telemetry hygiene and retention policies.
Informatica Professional Services 5200 $1.6B United States Observo AI Observo AI Data Pipeline Security Information and Event Management (SIEM) 2024 n/a
In 2024, Informatica implemented Observo AI Data Pipeline as its Security Information and Event Management (SIEM) ingestion layer to optimize multi cloud observability and security pipelines across AWS, Azure, and GCP. The deployment targeted DevOps and Security functions within Informatica in the United States, centralizing preprocessing and log ingestion for observability and detection workflows. Observo AI Data Pipeline was configured to act as an intelligent preprocessing layer, replacing Logstash in the onboarded pipelines and standardizing event parsing, enrichment, and normalization. Functional capabilities emphasized faster onboarding of sources, structured preprocessing for improved search performance, and enhanced detection readiness consistent with Security Information and Event Management (SIEM) ingestion patterns. The architecture integrated Observo across AWS, Azure, and GCP log streams, positioning the product as the front end of the observability and SIEM ingestion topology. Integrations focused on ingesting cloud native logs and telemetry, applying intelligent filtering to reduce noisy categories, and forwarding enriched events into downstream detection and analytics tooling. Rollout began as a two month proof of value that validated preprocessing and onboarding velocity before broader adoption. Governance changes included centralizing ingestion rules, standardizing parsing and retention policies, and coordinating DevOps and Security team workflows to accelerate source onboarding and tuning of detection searches. Explicit outcomes reported from the engagement included 70 to 80 percent reductions in some log categories and over 20 percent cloud cost savings in the United States, along with measurable improvements in onboarding speed and search and detection efficacy during the proof of value.
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FAQ - APPS RUN THE WORLD Observo AI Data Pipeline Coverage

Observo AI Data Pipeline is a Security Information and Event Management (SIEM) solution from Observo AI.

Companies worldwide use Observo AI Data Pipeline, from small firms to large enterprises across 21+ industries.

Organizations such as Informatica, Bill.com and Alteryx are recorded users of Observo AI Data Pipeline for Security Information and Event Management (SIEM).

Companies using Observo AI Data Pipeline are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using Observo AI Data Pipeline are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Observo AI Data Pipeline across Americas, EMEA, and APAC.

Companies using Observo AI Data Pipeline range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 100%, and global enterprises with 10,000+ employees - 0%.

Customers of Observo AI Data Pipeline include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Observo AI Data Pipeline customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Security Information and Event Management (SIEM).