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Company profile: BigML

1.1 - Company Overview

BigML Logo

BigML

Headquarter: United States
Founded: 20XX🔒
Employees: 100-500🔒

Company description

  • Provider of a consumable, programmable, scalable Machine Learning as a Service platform that helps businesses make highly automated, data-driven decisions. Offerings include a no-code Dashboard, REST API, image processing for classification and computer vision, private scalable deployments integrating with enterprise systems and meeting data security and privacy requirements, collaborative Organizations, and WhizzML to automate ML workflows.

Products and services

  • BigML API: REST-compliant service enabling integration and programmatic building of machine learning models in various programming languages using BigML’s scalable platform
  • BigML Private Deployments: Enterprise-grade private, scalable machine learning products that integrate with enterprise systems while meeting data security and privacy requirements
  • BigML Dashboard: No-code web interface for creating and visualizing machine learning models without coding on BigML’s consumable, programmable platform

Key contacts

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Financial details

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1.2 - Competitors and similar companies to BigML

InfoCentricity Logo

InfoCentricity

HQ: United States Website
  • Description: Provider of analytic solutions that help clients discover and leverage key insights hidden in their data.
  • Rationale: This competitor operates in a highly similar market segment with overlapping features.
  • Company type: Private company
  • Employees: ●●●●●
  • Total funding raised: $●●●m
  • Backers: ●●●●●●●●●●
  • Acquisitions: ●●
View full InfoCentricity company profile →
TeraHelix Logo

TeraHelix

HQ: United Kingdom Website
  • Description: Provider of an enterprise-scale platform accelerator and data infrastructure technologies for trading and risk management platforms, enabling rapid, scalable application development for petabyte-scale, complex financial instruments in global risk and regulatory environments. Offers SPEAR unified data model paradigm, Data Explorer for model cataloguing, ETL Mapper low-code mappings, and automated Data Quality management.
  • Rationale: This competitor operates in a highly similar market segment with overlapping features.
  • Company type: Private company
  • Employees: ●●●●●
  • Total funding raised: $●●●m
  • Backers: ●●●●●●●●●●
  • Acquisitions: ●●
View full TeraHelix company profile →
Diyotta Logo

Diyotta

HQ: United States Website
  • Description: Provider of a next-generation data integration platform that connects enterprises to all their data, offering a single, integrated solution to quickly and efficiently integrate enormous volumes of data from any source to any target across on-premises, cloud, and hybrid environments.
  • Rationale: This competitor operates in a highly similar market segment with overlapping features.
  • Company type: Private company
  • Employees: ●●●●●
  • Total funding raised: $●●●m
  • Backers: ●●●●●●●●●●
  • Acquisitions: ●●
View full Diyotta company profile →
Carpe Data Logo

Carpe Data

HQ: United States Website
  • Description: Provider of predictive scoring and data products for P&C and life insurers, harnessing emerging and alternative data with proprietary algorithms and AI. Offerings include ClaimsX Ultra for evidence-based alerts, validated customer data, and vendor risk analysis to detect fraud and streamline claims, and Minerva, a small-business underwriting data suite with classification and predictive indexes.
  • Rationale: This competitor operates in a highly similar market segment with overlapping features.
  • Company type: Private company
  • Employees: ●●●●●
  • Total funding raised: $●●●m
  • Backers: ●●●●●●●●●●
  • Acquisitions: ●●
View full Carpe Data company profile →
Trensant Logo

Trensant

HQ: United States Website
  • Description: Provider of real-time, relevant, actionable insights from structured and unstructured big data via a patented machine intelligence platform, linking and scoring billions of textual and numeric data points from over 25,000 sources daily to deliver contextual, linked information.
  • Rationale: This competitor operates in a highly similar market segment with overlapping features.
  • Company type: Private company
  • Employees: ●●●●●
  • Total funding raised: $●●●m
  • Backers: ●●●●●●●●●●
  • Acquisitions: ●●
View full Trensant company profile →
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2.M&A buyers

2.1 Potential strategic acquirers in the sector

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2.2 - Strategic buyer groups for BigML

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Buyer group 1: ████████ ████████

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Description: ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████
Key Products: ████████, ████████, ████████, ████████
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Buyer group 2: ████████ ████████

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Description: ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████
Key Products: ████████, ████████, ████████, ████████
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Buyer group 3: ████████ ████████

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Description: ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████ ████████
Key Products: ████████, ████████, ████████, ████████
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3. Investors and private equity firms

3.1 - Buyout funds investing in similar companies to BigML

2.2 - Growth funds investing in similar companies to BigML

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4 - Top valuation comps for BigML

4.2 - Public trading comparable groups for BigML

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4.3 - M&A Transactions similar to BigML

Selected M&A transactions

Date Target Description Buyer(s) Relevance EV EV/Revenue EV/EBITDA
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Frequently Asked Questions

About BigML

What does BigML do?

BigML is a provider of a consumable, programmable, scalable Machine Learning as a Service platform that helps businesses make highly automated, data-driven decisions. Offerings include a no-code Dashboard, REST API, image processing for classification and computer vision, private scalable deployments integrating with enterprise systems and meeting data security and privacy requirements, collaborative Organizations, and WhizzML to automate ML workflows.

Who are BigML's competitors?

BigML's competitors and similar companies include InfoCentricity, TeraHelix, Diyotta, Carpe Data, and Trensant.

Where is BigML headquartered?

BigML is headquartered in United States.

How many employees does BigML have?

BigML has 1,000 employees 🔒.

When was BigML founded?

BigML was founded in 2010 🔒.

What sector and industry vertical is BigML in?

BigML is in the Enterprise Software 🔒 sector and industry

M&A Buyers & Acquirers for BigML

Who are the top strategic acquirers in BigML's sector and industry

Top strategic M&A buyers and acquirers in BigML's sector include ████████, ██████████, ██████, ████████, and ██████████ 🔒.

Which M&A buyer groups are most relevant for BigML?

Top strategic M&A buyers groups and sectors for BigML include █████████████████ , ████████████████, █████████████, ████████████, and ████████████████ 🔒.

Financial Investors investing in BigML's sector and industry vertical

Which are the top PE firms investing in BigML's sector and industry vertical?

Top PE firms investing in BigML's sector and industry vertical include ████████, ██████████, ████████, and ██████████ 🔒.

Who are the top buyout funds acquiring in BigML's sector and industry vertical?

Active PE funds and buyout funds acquiring companies in BigML's sector and industry vertical include █████████, ██████████, ████████████, and ████████████ 🔒.

Who are the top growth equity funds investing in companies in BigML's sector and industry vertical?

Growth funds and venture capital funds investing in companies similar to BigML include █████████, ██████████, ████████████, and ████████████ 🔒.

Valuation benchmarks of companies in BigML's sector and industry

Which are the key public companies that are relevant trading comps benchmarks for BigML?

The key public trading comparables and valuation benchmarks for BigML include █████████, ██████████, ████████████, and ████████████ 🔒.

Which are the key trading comparable groups for BigML for public valuation benchmarks?

Our platform tracks detailed public trading comparable groups and valuation benchmarks for BigML with complete valuation multiples, growth metrics, and profitability data. Access the full database to benchmark your company against relevant public comparables.

What are recent M&A transactions in BigML's sector and industry vertical?

Our platform tracks relevant M&A transactions comparables and valuation benchmarks for BigML with complete deal terms, valuation multiples, and strategic rationale. Access the full database to benchmark pricing and identify active acquirers.

What are recent capital raises and funding rounds in BigML's' sector and industry vertical?

Access recent funding rounds and capital raises in BigML's sector and industry vertical including growth equity, venture capital, and buyout investments. Our database includes round size, lead investors and valuations.

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