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What is Extrieve?

Extrieve is an AI orchestration platform built for BFSI institutions that need to move AI from pilots into governed, auditable, production-scale operations. The platform governs how AI works with documents, systems, regulations, approvals, and business workflows so every action remains secure, traceable, and compliant. Extrieve is designed for banks and financial institutions where AI must navigate fragmented data, legacy infrastructure, internal governance, regulatory controls, human reviews, and operational procedures. It sits between foundation models, document intelligence, custom ML models, third-party AI APIs, banking systems, and operations teams. The orchestration engine includes maker-checker workflows, audit trails, consent management, DPDP logging, policy enforcement, policy controls, and low-code workflow templates. The integration layer connects with systems such as FinnOne, Finacle, Flexcube, Temenos, LOS, LMS, KYC, onboarding platforms, CRMs, compliance databases, document repositories, and core banking systems. Unified operations bring together case management, exception handling, validation intelligence, human-in-the-loop reviews, governance controls, risk oversight, and operational monitoring. Extrieve supports customer onboarding, identity verification, KYC and KYB review, risk assessment, lending workflows, credit underwriting, income verification, loan document processing, trade finance scrutiny, discrepancy management, customer operations, ReKYC, insurance claims, capital markets documentation, reconciliations, ESG reporting, and compliance monitoring. The platform is vendor agnostic, modular, and designed to integrate with existing AI models, banking systems, and technology investments without locking institutions into one stack.

What is Apache Airflow?

Airflow is an open-source platform that facilitates the programmatic design, scheduling, and oversight of workflows, driven by community contributions. Its architecture is designed for flexibility and utilizes a message queue system, allowing for an expandable number of workers to be managed efficiently. Capable of infinite scalability, Airflow enables the creation of pipelines using Python, making it possible to generate workflows dynamically. This dynamic generation empowers developers to produce workflows on demand through their code. Users can easily define custom operators and enhance libraries to fit the specific abstraction levels they require, ensuring a tailored experience. The straightforward design of Airflow pipelines incorporates essential parametrization features through the advanced Jinja templating engine. The era of complex command-line instructions and intricate XML configurations is behind us! Instead, Airflow leverages standard Python functionalities for workflow construction, including date and time formatting for scheduling and loops that facilitate dynamic task generation. This approach guarantees maximum flexibility in workflow design. Additionally, Airflow’s adaptability makes it a prime candidate for a wide range of applications across different sectors, underscoring its versatility in meeting diverse business needs. Furthermore, the supportive community surrounding Airflow continually contributes to its evolution and improvement, making it an ever-evolving tool for modern workflow management.

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Integrations Supported

Microsoft Dynamics 365 Business Central

Integrations Supported

Apache Druid
Ascend
Azure Marketplace
Cake AI
CrateDB
Dagster
DataHub
Decube
DoubleCloud
Fraoula Data Auditor
Google Cloud Managed Service for Apache Airflow
Netdata
OpenMetadata
Oxla
Tobiko
ZenML
emma
lakeFS
rudol

API Availability

API Availability

Pricing Information

$58,000
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Extrieve Technologies Pvt. Ltd

Date Founded

1996

Company Location

India

Company Website

www.extrieve.com

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

airflow.apache.org

Categories and Features

AI Orchestration

Not specified

Categories and Features

AI Orchestration

Not specified

Data Pipeline

Not specified

DataOps

Not specified

Job Scheduler

Not specified

Workflow Management

Not specified

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