Content Intelligence

Turn unstructured content

into intelligence at scale

Turn unstructured content into intelligence at scale

Turn unstructured content

into intelligence at scale

Storm is Rival's content intelligence engine. It tags, classifies, and structures large volumes of enterprise content faster and more consistently than language models alone, so AI systems can retrieve and reason without bottlenecks.

Storm is Rival's content intelligence engine. It tags, classifies, and structures large volumes of enterprise content faster and more consistently than language models alone, so AI systems can retrieve and reason without bottlenecks.

INGEST

Documents

Media files

Records

Logs

Storm

Content Intelligence

OUTPUT

Structured fields

Entity tags

Classifications

Signals

See How Storm Compares

Watch the Comparison

This short walkthrough compares Storm against a standard LLM-based tagging workflow on the same dataset. See how Storm processes more files, produces consistent structure, and avoids the latency and cost overhead of sequential model calls.

See How Storm Compares

Watch the Comparison

This short walkthrough compares Storm against a standard LLM-based tagging workflow on the same dataset. See how Storm processes more files, produces consistent structure, and avoids the latency and cost overhead of sequential model calls.

See How Storm Compares

Watch the Comparison

This short walkthrough compares Storm against a standard LLM-based tagging workflow on the same dataset. See how Storm processes more files, produces consistent structure, and avoids the latency and cost overhead of sequential model calls.

The Hidden Bottleneck

Unstructured content is the hidden bottleneck

Enterprises generate massive amounts of content across documents, media, logs, and records. Most AI systems struggle not because models are weak, but because the underlying content is poorly structured.

The Hidden Bottleneck

Unstructured content is the hidden bottleneck

Enterprises generate massive amounts of content across documents, media, logs, and records. Most AI systems struggle not because models are weak, but because the underlying content is poorly structured.

The Hidden Bottleneck

Unstructured content is the hidden bottleneck

Enterprises generate massive amounts of content across documents, media, logs, and records. Most AI systems struggle not because models are weak, but because the underlying content is poorly structured.

Before

Mixed formats, no structure

PDF

contract_draft_v3_final.pdf

mixed

DOC

meeting_notes_Q4.docx

text

LOG

server_2024-01-15.log

untagged

MP4

training_video_001.mp4

media

CSV

client_data_export.csv

tabular

No consistent schema • Manual classification required

No consistent schema • Manual classification required

After

Normalized fields and tags

entity: company

type: contract

date: 2024-01

status: active

score: 0.94

Consistent schema • Automation-ready

LLMs can help with small batches. At scale, they introduce latency, inconsistency, and

cost. Storm addresses this problem at the execution layer.

LLMs can help with small batches. At scale, they introduce latency, inconsistency, and cost. Storm addresses this problem at the execution layer.

Capabilities

Built for machine-speed content intelligence

Capabilities

Built for machine-speed content intelligence

Capabilities

Built for machine-speed content intelligence

High-volume tagging

Process millions of assets quickly

without sequential model calls.

Consistent structure

Apply the same schema across

datasets so downstream systems

behave predictably.

Entity and signal

extraction

Identify entities, topics, metadata,

and semantic signals in a

repeatable way.

Automation-ready

outputs

Deliver clean, structured data that

agents, workflows, and analytics

can use immediately.

Designed for Scale

Designed for scale, not prompts.

Designed for Scale

Designed for scale, not prompts.

Designed for Scale

Designed for scale, not prompts.

LLM-based tagging

Sequential calls

Variable outputs

Latency increases with volume

Higher cost at scale

Storm

Parallel execution

Deterministic structure

Predictable performance

Lower overhead at high volume

Built for Enterprise

Built for teams working with real content volume

Built for Enterprise

Built for teams working with real content volume

Built for Enterprise

Built for teams working with real content volume

FINANCIAL SERVICES

65%

Global financial services firm reduced a three-week content tagging bottleneck to hours by parallelizing execution across millions of documents.

View Case Study

Data and analytics teams

Prepare content for retrieval, reporting, and analysis without manual cleanup.

AI and ML teams

Feed models and agents structured inputs that improve reliability.

Enterprise operations

Automate classification and compliance workflows at scale.

What changes when content is structured

10x

10x

Faster retrieval and reasoning

Faster retrieval and reasoning

85%

85%

Lower processing time per asset

Lower processing time per asset

99.5%

99.5%

More reliable automation

More reliable automation

60%

60%

Reduced operational overhead

Reduced operational overhead

Integration

Content intelligence that runs on CortexOne

Storm runs on CortexOne's execution layer, which means tagging workloads are routed efficiently and scaled without manual tuning.

Integration

Content intelligence that runs on CortexOne

Storm runs on CortexOne's execution layer, which means tagging workloads are routed efficiently and scaled without manual tuning.

Integration

Content intelligence that runs on CortexOne

Storm runs on CortexOne's execution layer, which means tagging workloads are routed efficiently and scaled without manual tuning.

Storm

Content Intelligence

CortexOne

Execution Layer

Workflows

Agents

Marketplace

Storm is not a standalone tool. It is part of a unified execution platform.

Storm

See how Storm handles your content

See how Storm handles your content

See how Storm handles your content

Watch Storm run against real workloads or talk with our team about applying content intelligence in your environment.

Watch Storm run against real workloads or talk with our team about applying content intelligence in your environment.