DatologyAI

DatologyAI

Automated data curation for AI training

About DatologyAI

Simplify's Rating
Why DatologyAI is rated
B-
Rated B on Competitive Edge
Rated A on Growth Potential
Rated D+ on Rating Differentiation

Industries

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$56.1M

Headquarters

Redwood City, California

Founded

2023

Overview

Company Does Not Provide H1B Sponsorship

DatologyAI specializes in automated data curation tools that enhance the training of Generative AI models. Its technology automatically selects high-quality and relevant data while eliminating redundant or harmful data points, which improves the accuracy and performance of AI models and reduces training costs. The company serves clients in various industries, including tech companies and research institutions, by offering its data curation tools as a service that can be easily integrated into existing data infrastructures. DatologyAI differentiates itself through its award-winning technology and support for immigrant founders, along with expertise from PhD students at Carnegie Mellon University. The goal of DatologyAI is to help businesses train better AI models more efficiently and cost-effectively.

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Funded Recently
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Significant Headcount Growth
Simplify Jobs

Simplify's Take

What believers are saying

  • Rising demand for data curation tools as AI models grow in complexity.
  • Opportunities in AI ethics and bias reduction align with industry trends.
  • Expansion into non-tech industries increases potential client base.

What critics are saying

  • Competition from established AI companies investing in data curation.
  • Over-reliance on venture capital funding may lead to financial instability.
  • Emerging privacy regulations could limit data curation capabilities.

What makes DatologyAI unique

  • DatologyAI specializes in automated data curation for GenAI model training.
  • Their technology removes redundant and harmful data, enhancing AI model accuracy.
  • Integration with existing infrastructures is seamless, requiring minimal code adjustments.

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Funding

Total Funding

$56.1M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$46M
DatologyAI
$100M
GitHub

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Unlimited Paid Time Off

Annual Wellness Stipend

Annual Learning and Development Stipend

Relocation Assistance

Growth & Insights and Company News

Headcount

6 month growth

↓ -4%

1 year growth

↑ 66%

2 year growth

↑ 66%
SiliconANGLE
May 9th, 2024
DatologyAI raises $46M to streamline AI model training data diets

DatologyAI raises $46M to streamline AI model training data diets - SiliconANGLE

Datology AI
Feb 23rd, 2024
Introducing DatologyAI β€” Making models better through better data, automatically

Models are what they eat. AI models trained on large-scale datasets have demonstrated jaw-dropping abilities and have the power to transform every aspect of our daily lives, from work to play. This massive leap in capabilities has largely been driven by corresponding increases in the amount of data we train models on, shifting from millions of data points several years ago to billions or trillions of data points today. As a result, these models are a reflection of the data on which they’re train

SiliconANGLE
Feb 23rd, 2024
DatologyAI raises $11.65M to automate data curation for more efficient AI training

DatologyAI raises $11.65M to automate data curation for more efficient AI training.

TechCrunch
Feb 22nd, 2024
DatologyAI is building tech to automatically curate AI training datasets | TechCrunch

A new startup, DatologyAI, claims to be able to automatically curate the massive data sets on which AI models train.

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