Sahab Pardaz

What Sahab Pardaz does

Sahab Pardaz (legal name: Sahab Pardaz; brand: Sahab) is a privately held Iranian data science and enterprise analytics company headquartered in Tehran, founded in 2014 (1393 SH). It sells a portfolio of data-driven software solutions to large organizations in Iran across banking and financial services, retail and e-commerce, telecommunications and media, FMCG, tourism and hospitality, transportation and logistics, and healthcare. Its go-to-market is enterprise field sales with consultation and demo requests, and revenue is characterized as subscription/recurring on enterprise software implementations; pricing is not publicly disclosed.

The company's core platform is Neor (نئور), a proprietary data lake solution for designing, implementing, and deploying enterprise big data infrastructure. Built around Neor, Sahab offers six additional modules: an MLOps platform for ML lifecycle management; a Dynamic Pricing System for tourism, rail, and airline ticket pricing; a Bank Credit Scoring System that integrates with the National Government Services Portal and Central Bank APIs; Fraud Detection and AML Software for real-time transaction monitoring; a Recommender System; a Sales Forecasting System; and a Customer Data Platform (CDP). Underlying capabilities span data science, big data engineering, distributed systems, machine learning, predictive analytics, anomaly detection, recommendation, NLP, and optimization.

Sahab operates entirely within Iran, with no disclosed external funding, M&A activity, or public listings. It supports its commercial motion with a content-led ecosystem comprising Sahab Academy (including a mobile app), the Didgah Persian-language data science magazine, the Data Mondays podcast (42+ episodes), a technical blog at tech.sahab.ir, a data glossary, and open-source repositories under github.com/sahabpardaz. The only named leadership figure is Kaveh Yazdi Fard, Innovation Manager, who hosts the Data Mondays podcast.

Name

Sahab Pardaz

Legal name

Sahab Pardaz

Website

https://sahab.ir

Company type

Private

Founded year

2014

Operating status

Operating

Headcount range

51–100 employees

Short description

Sahab Pardaz is a privately held Tehran-based data science firm that sells enterprise data lake infrastructure (Neor) and a suite of AI/ML modules — including credit scoring, fraud detection, recommender, sales forecasting, dynamic pricing, and MLOps — to large Iranian organizations across banking, retail, telecom, FMCG, healthcare, and transportation.

Ownership category

akta.pro rank

Product category

Enterprise Data Analytics

NAICS

Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Professional, Scientific, and Technical Services (541)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374), Services-Prepackaged Software (7372), Services-Engineering, Accounting, Research, Management (8700)

akta.pro primary industry

Captive/Global In-House Center (GIC) Setup & Managed Services (BPAEAMAK)

akta.pro secondary industries

GraphQL, gRPC & Modern API Protocols (BPAMAOAK), IT Governance, Risk & Compliance (IT GRC) Platforms (HDAEALAK)

Headquarters

HQ city

Iran

HQ country

Iran

HQ region

Middle East

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Enterprise Software Solutions: Sahab generates revenue through the sale and implementation of enterprise data science solutions and platforms. Their offerings include data lake infrastructure, ML platforms, fraud detection systems, credit scoring tools, recommender systems, and sales forecasting solutions targeting organizations across banking, retail, telecom, and other industries in Iran.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels6 records

Core offering

Sahab Pardaz is an enterprise data science company that designs, builds, and deploys data-driven solutions for large organizations in Iran. Its core product is Neor, a data lake infrastructure solution for collecting, storing, and analyzing massive volumes of structured and unstructured data. Surrounding Neor is a suite of AI/ML-powered modules including an MLOps platform, Customer Data Platform, Bank Credit Scoring, Fraud Detection and AML Software, Recommender System, Sales Forecasting, and Dynamic Pricing. Solutions are sold and implemented for organizations across banking, retail, telecommunications, healthcare, transportation, tourism, and FMCG sectors.

Product overview

Sahab Pardaz is a specialized data science company offering a portfolio of data-driven solutions. The core product is Neor, a data lake infrastructure solution. Around this core, the company offers multiple specialized modules including an MLOps platform for machine learning operations management, a Dynamic Pricing System for supply-demand price optimization, a Bank Credit Scoring System for credit risk assessment, a Fraud Detection and AML Software for financial security, a Recommender System for personalized recommendations, a Sales Forecasting System for predictive analytics, and a Customer Data Platform (CDP) for unified customer data management. The solutions target industries including retail, banking, insurance, telecommunications, media and entertainment, tourism, transportation, and healthcare.

Differentiator

Problem solved

Functional benefit

Brands

• Neor (نئور): Data lake solution for designing, implementing, and deploying data infrastructure
• Sahab Academy (آکادمی سحاب)
• Didgah (دیدگاه)
• Data Mondays (دوشنبه‌های دیتایی سحاب)

Products and services

• Neor Data Lake Solution (دریاچه داده نئور) Enterprise data lake solution that designs, implements, and deploys big data infrastructure for collecting, storing, and analyzing large volumes of structured and unstructured data for organizations in Iran.
• MLOps Platform (راهکار MLOps) Platform that shortens time-to-market by automating ML model deployment and monitoring, increases accuracy and efficiency through lifecycle oversight, and provides elastic processing capacity for large-scale ML operations.
• Dynamic Pricing System (سامانه قیمت‌گذاری پویا) Decision-support system that finds equilibrium between supply and demand for ticket pricing in tourism, rail, and airline sectors by analyzing competitor prices, market conditions, and customer behavior.
• Bank Credit Scoring System (ابزار اعتبارسنجی مشتریان بانکی) AI-powered credit scoring engine for banks that continuously monitors customers using demographic, financial, and transaction data to predict important events and credit behavior with high accuracy.
• Fraud Detection and AML Software (نرم‌افزار شناسایی تقلب و جلوگیری از پولشویی) Software that monitors millions of transactions in real-time using behavioral pattern modeling to detect fraud and prevent money laundering, increasing transparency and regulatory compliance for financial institutions.
• Recommender System (سامانه توصیه‌گر) System that collects large volumes of user behavior data, filters based on interests and preferences, and matches users with products or content using content-based, collaborative, and hybrid filtering approaches.
• Sales Forecasting System (سامانه پیش‌بینی فروش) System that creates insights about business events and enables managers to make smarter decisions on capital allocation, workforce management, and cash flow through real-time predictive analytics.
• Customer Data Platform (CDP) (پلتفرم داده‌های مشتری) Software providing a unified, comprehensive customer database accessible to other systems. Collects data from multiple online and offline sources, processes and integrates it to create single customer profiles for integrated marketing.

Segments7 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature8 records

Scale indicators1 record

Recent moves5 records

Expansion highlights5 records

Direct peers

• Tiger Analytics: Global data science consulting and AI solutions firm with strong BFSI, retail, CPG, and healthcare focus. Closely comparable to Sahab's verticalized ML/AI consulting and product model serving regulated industries.
• Tredence: Data analytics solutions provider specializing in retail, CPG, manufacturing, and BFSI with ML engineering and MLOps capabilities. Direct overlap with Sahab's industry focus and module-based offering.
• Fractal Analytics: AI analytics services and product company serving BFSI, CPG, retail, and healthcare with both consulting and packaged AI offerings. Comparable breadth of vertical solutions and data science delivery model.
• LatentView Analytics: Global analytics and AI consulting firm serving BFSI, CPG/retail, and tech with data engineering and ML model deployment. Highly comparable enterprise data science services business model.
• AbsolutData: AI and analytics solutions provider with focus on CPG/retail, BFSI, and telecom — including recommendation engines, forecasting, and customer analytics. Direct functional overlap with Sahab's recommender and forecasting products.
• Algonomy (formerly Manthan): Retail/CPG-focused AI analytics platform offering recommendation, personalization, and customer analytics. Directly comparable to Sahab's retail recommender and CDP offerings.
• H2O.ai: Enterprise AI/ML platform company offering automated ML, MLOps, and applied AI solutions for banking, insurance, and telecom. Closely comparable to Sahab's MLOps and predictive ML product suite.

Broad incumbents

• Palantir Technologies: Large established data analytics platform serving enterprises and governments with data integration, ML, and operational analytics. Comparable data infrastructure and ML deployment capabilities, but at much larger scale and broader scope.
• Databricks: Unified data lakehouse and analytics platform with strong ML/MLOps capabilities. Directly comparable to Sahab's Neor data lake and MLOps modules, but operates as a global incumbent with vastly broader scale.
• Sisense: Embedded analytics and BI platform with data pipeline and ML capabilities for enterprise customers. Comparable as a packaged analytics platform though broader in scope than Sahab's verticalized offerings.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/sahabpardaz
• YouTubesahab.ir/podcasts

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Sahab Pardaz