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Dextro

Full company profile

uuid000kwim

Namestring
Dextro
Websiteurl
dextro.co
Company typeenum
Private
Founded yearint
2013
Descriptiontext

Dextro is a New York-based, privately-held for-profit technology company founded in 2013. Its product is positioned as a system that enables users to analyze and filter through very large video datasets, suggesting a focus on video search, indexing, and content retrieval at scale. The company has not published detailed product specifications, technical architecture, or pricing in the available data sources, and no customer logos, case studies, or named users are disclosed.

With a headcount in the 11-50 range, Dextro operates at small scale. The only documented capital event is a 2014 funding round of $1.71M from a syndicate that included RRE Ventures, Two Sigma Ventures, Connecticut Innovations, MDC Ventures, and YEI Innovation Fund — all notable NYC-area or quant-adjacent investors. No subsequent funding rounds, acquisitions, partnerships, leadership changes, or product launches have been disclosed in the aggregated input data.

The commercial mechanics are not specified: no pricing model, revenue model, GTM motion, distribution channel, customer segment, or sales motion data is available. The company maintains a web presence at dextro.co but no detailed information about its current operating status, revenue generation, or product roadmap is reflected in the source material. Overall, the available evidence points to a small, privately-held video analytics venture whose recent strategic activity, growth signals, and financial position are not visible from public sources.

Short descriptiontext

Dextro is a New York-based private technology company founded in 2013 that builds systems for analyzing and filtering large video datasets, enabling users to search and extract insights from massive video collections.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Keyword5 values
video analytics, video dataset analysis, video content analysis, video search platform, large-scale video processing
NAICS code2 codes
  • Custom Computer Programming Services541511
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services5182
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Video Analytics Software
Social media profiles2 records
Cost components2 values
Personnel, Technology or R&D
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Dextro offers a unique system that lets users analyze and filter through huge video datasets. The platform applies video analytics to make large volumes of video content searchable and processable.

Differentiator
Functional benefit
Problem solved
Product and service1 record
1Dextro Video Analysis System
CategoryVideo Analytics Software
Recent move1 record

Each record includes

Date, Type, Title, Description, Source

Expansion highlight2 records

Each record includes

Type, Description

Peers10 records
1Clarifai
TypeDirect peer
Description

Independent computer vision platform offering image and video recognition APIs and tooling. Closely comparable to Dextro as a standalone video/image AI provider serving enterprise developers and analysts.

2Valossa
TypeDirect peer
Description

Video AI platform providing automated content analysis, scene detection, and metadata generation for media and entertainment. Comparable as a focused video analytics vendor.

3Hive
TypeDirect peer
Description

AI platform offering visual content moderation, tagging, and video understanding for enterprise customers. Overlaps with Dextro in applied video analytics use cases.

4Datagen
TypeEmerging player
Description

Synthetic visual data platform for computer vision teams. Comparable as a tooling provider that helps CV practitioners work with large image/video datasets, partially overlapping with Dextro's dataset analysis positioning.

5Twelve Labs
TypeDirect peer
Description

Video understanding AI startup that lets users search, classify, and analyze video content. Direct peer in the video analytics/computer vision category.

6Mux
TypeEmerging player
Description

Video infrastructure platform with analytics for streaming workloads. Adjacent but comparable, as it serves developers building video-centric products and offers data and analytics on video.

7Voxel51
TypeDirect peer
Description

Open-source-focused computer vision platform for video and image dataset curation, search, and analysis. Direct peer in tooling for analyzing large visual datasets.

8Microsoft Azure Video Indexer
TypeBroad incumbent
Description

Microsoft's cloud video analytics service extracting insights like faces, speech, and topics. Overlaps with Dextro in the video analytics workflow category.

9AWS Rekognition
TypeBroad incumbent
Description

Amazon's computer vision service including video analysis features. Comparable as a broad incumbent offering overlapping with Dextro's video analytics capabilities.

10Google Cloud Video Intelligence
TypeBroad incumbent
Description

Hyperscaler video AI service offering shot detection, label detection, and explicit content detection. Comparable as a video analytics offering, though bundled into Google Cloud's broader platform.

Market position
Strengths3 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key risks4 records

Each record includes

Headline, Details, Source

Key highlights4 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors5 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Dextro

Video Analytics Softwaredextro.co

Dextro is a New York-based private technology company founded in 2013 that builds systems for analyzing and filtering large video datasets, enabling users to search and extract insights from massive video collections.

What Dextro does

Dextro is a New York-based, privately-held for-profit technology company founded in 2013. Its product is positioned as a system that enables users to analyze and filter through very large video datasets, suggesting a focus on video search, indexing, and content retrieval at scale. The company has not published detailed product specifications, technical architecture, or pricing in the available data sources, and no customer logos, case studies, or named users are disclosed.

With a headcount in the 11-50 range, Dextro operates at small scale. The only documented capital event is a 2014 funding round of $1.71M from a syndicate that included RRE Ventures, Two Sigma Ventures, Connecticut Innovations, MDC Ventures, and YEI Innovation Fund — all notable NYC-area or quant-adjacent investors. No subsequent funding rounds, acquisitions, partnerships, leadership changes, or product launches have been disclosed in the aggregated input data.

The commercial mechanics are not specified: no pricing model, revenue model, GTM motion, distribution channel, customer segment, or sales motion data is available. The company maintains a web presence at dextro.co but no detailed information about its current operating status, revenue generation, or product roadmap is reflected in the source material. Overall, the available evidence points to a small, privately-held video analytics venture whose recent strategic activity, growth signals, and financial position are not visible from public sources.

Dextro firmographics

Firmographics
Name
Dextro
Website
https://dextro.co
Company type
Private
Founded year
2013
Operating status
Operating
Headcount range
11–50 employees
Short description
Dextro is a New York-based private technology company founded in 2013 that builds systems for analyzing and filtering large video datasets, enabling users to search and extract insights from massive video collections.
Ownership category
akta.pro rank

Where Dextro is headquartered

Location

Headquarters

HQ city
New York
HQ country
United States
HQ region
North America

Markets served

Dextro business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D

Dextro product offering

Product offering

Core offering

Dextro offers a unique system that lets users analyze and filter through huge video datasets. The platform applies video analytics to make large volumes of video content searchable and processable.

Differentiator

Problem solved

Functional benefit

Products and services

  • Dextro Video Analysis System

Companies that use Dextro

Customer profile

Ideal customer profiles1 record

Dextro technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Dextro partnerships and signals

Strategic signal

Recent moves1 record

Expansion highlights2 records

Dextro competitors and assessment

Company assessment

Direct peers

  • Clarifai: Independent computer vision platform offering image and video recognition APIs and tooling. Closely comparable to Dextro as a standalone video/image AI provider serving enterprise developers and analysts.
  • Valossa: Video AI platform providing automated content analysis, scene detection, and metadata generation for media and entertainment. Comparable as a focused video analytics vendor.
  • Hive: AI platform offering visual content moderation, tagging, and video understanding for enterprise customers. Overlaps with Dextro in applied video analytics use cases.
  • Twelve Labs: Video understanding AI startup that lets users search, classify, and analyze video content. Direct peer in the video analytics/computer vision category.
  • Voxel51: Open-source-focused computer vision platform for video and image dataset curation, search, and analysis. Direct peer in tooling for analyzing large visual datasets.

Emerging players

  • Datagen: Synthetic visual data platform for computer vision teams. Comparable as a tooling provider that helps CV practitioners work with large image/video datasets, partially overlapping with Dextro's dataset analysis positioning.
  • Mux: Video infrastructure platform with analytics for streaming workloads. Adjacent but comparable, as it serves developers building video-centric products and offers data and analytics on video.

Broad incumbents

  • Microsoft Azure Video Indexer: Microsoft's cloud video analytics service extracting insights like faces, speech, and topics. Overlaps with Dextro in the video analytics workflow category.
  • AWS Rekognition: Amazon's computer vision service including video analysis features. Comparable as a broad incumbent offering overlapping with Dextro's video analytics capabilities.
  • Google Cloud Video Intelligence: Hyperscaler video AI service offering shot detection, label detection, and explicit content detection. Comparable as a video analytics offering, though bundled into Google Cloud's broader platform.

Market position

Strengths3 records

Weaknesses4 records

Competitive moat3 records

Key risks4 records

Key highlights4 records

Customer concentration

Dextro social profiles

Digital presence

Dextro financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Dextro leadership team

Management profile

Number of profiles

Dextro funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors5 records

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

Dextro M&A and investment

M&A and investment

M&A

Investments

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

Frequently asked questions about Dextro

What does Dextro do?

Dextro offers a unique system that lets users analyze and filter through huge video datasets. The platform applies video analytics to make large volumes of video content searchable and processable.

When was Dextro founded?

Dextro was founded in 2013. It employs 11 to 50 people.

Where is Dextro based?

Dextro is headquartered in New York, United States, in the North America region.

Who are Dextro's main competitors?

Direct peers on record are Clarifai, Valossa, Hive, Twelve Labs and Voxel51. Emerging players are Datagen and Mux. Broad incumbents are Microsoft Azure Video Indexer, AWS Rekognition and Google Cloud Video Intelligence.

Does Dextro have an API?

No public API is recorded for Dextro.

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Live signals
TechCrunchWith AI investments, Taser could use its body camera division for predictive policingAfter acquiring two AI companies (Dextro and Fossil Group) in February, Axon (formerly Taser) has signaled its intent to leverage machine learning for police technology, despite publicly denying plans to build predictive policing tools. Industry reports and company documents reveal ambitions to automate the collection and analysis of public safety information using massive datasets, raising concerns about algorithmic decision-making in law enforcement. The company's newly established ethics board may face challenges in balancing its stated mission of 'protect life, protect truth' against the potential risks of predictive policing technology.GeekWireTwo Taser acquisitions create new ‘Axon AI’ group, boosting effort to analyze vast police video dataTaser International acquired Dextro Inc. and a Fossil Group computer vision team to launch Axon AI, a Seattle-based group of nearly 20 researchers. The acquisitions aim to analyze over 5.2 petabytes of police video data, with Axon's Seattle office as the epicenter. CEO Rick Smith said AI will streamline records management and reduce video preparation time.PR NewswireTASER Makes Two Acquisitions to Create "Axon AI"TASER International announced two acquisitions—Dextro, Inc. and a computer vision team from Fossil Group's Misfit acquisition—to launch a new artificial intelligence group called "Axon AI." The acquisitions bring approximately 20 researchers and engineers to form the technology backbone for AI-powered video analytics across the Axon network, which already hosts over 5.2 petabytes of customer data. This investment in AI is positioned to automate public safety records and streamline law enforcement workflows using computer vision and natural language processing, with financial terms not disclosed.