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Granular.ai

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“Transforming unstructured data into actionable intelligence.”

ai is a San Francisco-based technology firm dedicated to transforming the vast landscape of unstructured data into precise, actionable intelligence. By leveraging advanced machine learning and computer vision architectures, the company empowers enterprises to bridge the gap between raw information and strategic decision-making. Their core mission centers on automating the extraction of high-value insights from complex data streams, allowing organizations to move beyond manual processing and embrace a future defined by automated, data-driven clarity.

At the heart of their value proposition is the ability to convert chaotic, non-standardized inputs into structured, machine-readable formats that integrate seamlessly into existing enterprise workflows. The company provides a robust suite of data products and services designed to handle diverse information types, including satellite imagery, drone-captured visual data, and complex document repositories. Their image ingestion service offers a scalable pipeline for processing large-scale geospatial and aerial datasets, ensuring that raw visual inputs are cleaned, normalized, and prepared for sophisticated AI analysis.

Complementing this is their insights generation engine, a powerful analytics platform that applies proprietary algorithms to detect patterns, anomalies, and trends within unstructured datasets. These capabilities are particularly vital for industries that rely on high-frequency, high-fidelity information to maintain a competitive edge. Target customers include firms within the financial services, investment, and global compliance sectors, as well as research institutions that require rigorous data processing at scale.

ai provides the tools necessary to monitor physical assets and economic activity through geospatial analysis, while compliance teams utilize their document processing capabilities to streamline regulatory reporting and risk assessment. ai is built for performance and reliability, utilizing modern cloud-native architectures that support high-throughput data ingestion and real-time processing. Their differentiation lies in the precision of their computer vision models, which are specifically tuned to handle the noise and variability inherent in real-world unstructured data.

By offering flexible delivery options, including API-based integration and custom data pipelines, the company ensures that their clients can consume processed intelligence in the format that best suits their operational requirements. ai serves as a critical partner for organizations seeking to unlock the latent value hidden within their data assets. ai continues to set the standard for intelligent data processing in the modern enterprise environment.

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Intelligence Score
40/100
Your Rating
Products

2

Type

data_provider

HQ

San Francisco, California

Founded

2018

Employees

25

Domain

granular.ai

Data Quality SignalsB

Freshness

Recently enriched

API Status

API Available

83Completeness

Compliance (vendor-reported)

SOC 2
ISO 27001
GDPR
CCPA

Quality Breakdown

Data Coverage
59
Documentation
85
Compliance
50
Pricing Clarity
100

Signal Analysis

Categories

AI/ML DataComputer VisionDocument ProcessingPredictive Analytics

Delivery Methods

REST APIPython SDKWeb UI download

Geographic Coverage

Global
Intelligence ScoresAll pillars scored
Market Presence
13
Trust & Compliance
31
Integration
22
Business Maturity
30
AI Readiness
31
Support & Ops
47
Product Quality
49
Extended Analytics
Price Clarity
100

Deep Intelligence

Enriched92% coverage

Web Authority

Emerging
15
9 mentions·2 platforms
LinkedIn
6 × 2 pts+12
linkedin company
3 × 1 pts+3
Evidence5 sources
LinkedIn

Introducing Skill Sets in Stepper for granular AI access

Introducing Skill Sets in Stepper for granular AI access · More Relevant Posts · Explore content categories.

LinkedIn

Exploring granular AI skills with Unix philosophy | Nathan O. ...

Exploring granular AI skills with Unix philosophy. View profile for Nathan O. Nathan O. Cloud Infrastructure Engineer at SAP | Developing Self-Healing AI ...

LinkedIn

Thinkers360 - Democratizing Granular AI Fine-Tuning

The Tinker Revolution from Thinking Machines Lab: Democratizing Granular AI Fine-Tuning https://buff.ly/Fn28Edg via Frank Morales Aguilera, ...

Trust & Compliance
Trust Score
48/100

Based on vendor-reported attestations, not verified by Vedex. Breach history is not scored.

SOC 2
ISO 27001
GDPR
Encryption: AES-256 for data at rest and TLS 1.2+ fo…Pen Test: Annual third-party penetration testing

These are the vendor's own attestations as collected from public sources, not Vedex's. Verify directly with the vendor.

SOC 2 Type IIIn progress
GDPRPartially
ISO 27001No
Risk ScoreNot disclosed
EncryptionAES-256 for data at rest and TLS 1.2+ for data in transit
Penetration TestingAnnual third-party penetration testing
Audit LoggingYes (on request)
Breach HistoryNo public incident found in our search (unverified)
Data Privacy OfficerNo
Compliance OfficerNo
Privacy LawsGDPR, CCPA/CPRA
Data ResidencyUS
Personal Data BasisLegitimate interest and contractual necessity
Sub-processor TransparencyAvailable on request

Products (2)

Insights Generation
discoveryAPI

AI-powered analytics engine that extracts actionable insights from complex, unstructured satellite and geospatial datasets.

Real-timeGlobalAPI
Value 43Coverage 75
Pricing (estimated)
~$87,500/yr est.
Image Ingestion
discoveryAPI

A service for ingesting satellite data, drone imagery, and other custom datasets for AI processing.

Real-timeGlobalAPI
Value 46Coverage 75
Pricing (estimated)
~$36,000/yr est.

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About Granular.ai

Granular.ai is a data provider vendor headquartered in San Francisco, California, founded in 2018 with approximately 25 employees. Granular.ai specializes in ai/ml data, computer vision, document processing, predictive analytics data. This vendor has a Vedex Intelligence Score of 40 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.

Data Categories

Granular.ai operates in the following alternative data categories.

AI/ML DataComputer VisionDocument ProcessingPredictive Analytics

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