Stream Engine

What Stream Engine does

Stream Engine is a private multimodal AI intelligence platform founded in 2019 and headquartered in Irvine, California. The company ingests and analyzes large datasets across video, audio, text, and still images in real time to detect behavioral patterns, threats, and influence signals. Its platform is built around three proprietary AI modules: ArgusAI™ (fully autonomous computer vision with 3D-precision signal extraction), OdinAI™ (voice recognition that tracks spoken keywords from persons of interest and performs real-time intent/tone analysis), and PsycheAI™ (live chat sentiment analysis with cross-channel mapping and emotional pulse detection). Together these modules are marketed as a unified, fused intelligence system.

Name

Stream Engine

Legal name

Stream Engine

Website

https://stream-engine.io

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

Stream Engine is a multimodal AI intelligence platform analyzing video, audio, text, and images in real time for threat detection. It serves law enforcement, the Department of Defense, intelligence communities, and Fortune 100 commercial clients via subscription-based enterprise contracts.

Ownership category

akta.pro rank

Product category

Multimodal AI Security & Threat Intelligence

akta.pro primary industry

Data Pipelines for GenAI (Curation, Filtering, Deduplication, Copyright) (HDAAACAJ)

Keywords

• Multimodal AI platform
• Real-time threat intelligence
• Computer vision analytics
• Voice detection AI
• Chat sentiment analysis

Headquarters

HQ city

Irvine

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Enterprise AI Intelligence Services: Provides real-time multimodal AI intelligence services to enterprise clients including law enforcement, government agencies, and Fortune 100 commercial companies. Revenue appears to be generated through enterprise contracts for security and threat monitoring services.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels1 record

Core offering

Stream Engine is a Multimodal AI Intelligence Platform that ingests large datasets to recognize behavioral patterns and threats in real time across video, audio, text, and still images. It delivers this capability through three proprietary AI modules — ArgusAI™ (computer vision), OdinAI™ (voice detection with intent analysis), and PsycheAI™ (chat sentiment and emotional pulse detection) — sold as integrated platform subscriptions to government and Fortune 100 enterprise clients.

Product overview

Stream Engine is a Multimodal AI Intelligence Platform that operates as a unified platform with three core AI capability modules. The platform ingests large datasets to recognize behavioral patterns and threats in real time across video, audio, text, and still image. The three named products—ArgusAI™ (computer vision), OdinAI™ (voice detection), and PsycheAI™ (chat sentiment)—work together to deliver full-spectrum understanding of influence and reach, with Vision Detection fused with Voice Detection and Chat Sentiment capabilities.

Differentiator

Problem solved

Functional benefit

Products and services

• ArgusAI™

Named customers1 record

Segments4 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature3 records

Partnerships

One partnership is on record.

• OutlyrcoreGTM or Marketing Partner · 24 November 2025Outlyr, an event management and security company, partnered with Stream Engine to provide unprecedented security at The ANNIKA Tournament at Pelican Golf Course. Stream Engine's real-time social media intelligence was used to monitor online threats and support law enforcement and security teams during the event featuring high-profile players Caitlin Clark and Kai Trump.

Scale indicators1 record

Recent moves3 records

Expansion highlights4 records

Direct peers

• Dataminr: Dataminr provides real-time event and threat detection across public social, text, and media streams for enterprise, news, and public-sector clients. It is directly comparable to Stream Engine's multimodal, real-time intelligence platform for Fortune 100 and government use cases.
• Babel Street: Babel Street offers cross-platform intelligence and OSINT analytics for defense, intelligence, law enforcement, and commercial customers, with strong text and identity analytics. It overlaps directly with Stream Engine's PsycheAI sentiment/monitoring and OdinAI voice tracking capabilities.
• Veritone: Veritone provides AI-powered analytics across video, audio, and text for government, legal, and media customers via its aiWARE platform. Comparable to Stream Engine's multimodal AI modules (ArgusAI, OdinAI, PsycheAI) and its dual-use commercial/government positioning.
• ZeroFox: ZeroFox delivers external threat intelligence and social media monitoring for brand protection, fraud, and physical security, including executive and event protection. Directly comparable to Stream Engine's real-time online threat monitoring use case demonstrated with Outlyr at the ANNIKA tournament.
• Primer AI: Primer provides AI for text, multilingual content, and event intelligence for defense, intelligence, and commercial customers. Comparable in its NLP/sentiment capabilities to Stream Engine's PsycheAI and in its mission of automating intelligence workflows at scale.

Broad incumbents

• Palantir Technologies: Palantir is a broad incumbent AI/data platform deeply embedded across DoD, intelligence, and large enterprises. While not focused solely on multimodal media, it competes for the same defense and Fortune 100 budgets and often sets the procurement baseline against which Stream Engine is evaluated.
• Anduril Industries: Anduril builds AI-driven defense and security systems across sensing, autonomous platforms, and command-and-control for DoD and DHS. It competes for defense AI dollars and signals the broader shift toward AI-native security vendors that Stream Engine is also pursuing.

Emerging players

• Skopenow: Skopenow offers OSINT and social media intelligence for investigations, fraud, and threat assessment used by law enforcement and security teams. It is an emerging player that overlaps with Stream Engine's law enforcement and threat-monitoring positioning.
• Datavisor: DataVisor focuses on AI-driven fraud, AML, and anomaly detection across large-scale transaction and digital channels. Comparable as an emerging AI platform applying real-time anomaly/threat detection to streaming data, similar to how Stream Engine's ArgusAI/PsycheAI flag anomalies in multimodal streams.

Others

• Databricks: Databricks provides a unified data and AI platform with strong streaming, ML, and governance capabilities used by large enterprises and government agencies. It is not a direct competitor on the finished multimodal intelligence product, but it represents the underlying data/AI infrastructure layer against which Stream Engine must position its application stack.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/streamengineai

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

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 Stream Engine