Patternai

Patternai

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Helping people see the invisible details in their conversations. Learn more

Financials

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Revenues, earnings & profits over time
USD202120222023
Revenues000000000000
% growth-117 %-
EBITDA000000000000
Profit000000000000
EV / revenue00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x
R&D budget000000000000
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DateInvestorsAmountRound
-investor

$0.0

round
N/A

$350k

Seed
Total Funding000k

Recent News about Patternai

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PatternAI is a cutting-edge startup specializing in Data Science as a Service (DSaaS) for enterprises. The company offers outsourced data science services, machine learning (ML), and artificial intelligence (AI) consulting. PatternAI primarily serves businesses that are overwhelmed with data but struggle to extract meaningful insights from it. These clients span various industries, including retail, finance, healthcare, and more.

PatternAI operates in the enterprise AI and data science market, a rapidly growing sector as companies increasingly seek to leverage data for competitive advantage. The business model is based on providing pre-packaged AI solutions delivered through a unique Software as a Service (SaaS) platform. This means that clients don't need to hire in-house data scientists or invest in complex infrastructure. Instead, they can access PatternAI's services via the cloud, making it easy and cost-effective to implement.

The company makes money by charging subscription fees for access to its AI and data science solutions. These solutions include automated data diagnostics, data quality scoring, and advanced analytics that predict future trends rather than just reporting past performance. PatternAI's platform also includes tools like Ideal Customer and Ground Truth, which offer deep customer insights without requiring any coding or specialized knowledge from the user.

In summary, PatternAI simplifies the complex world of data science and AI, making it accessible to businesses of all sizes. By transforming raw data into actionable insights, PatternAI helps companies make better decisions and stay ahead of the competition.

Keywords: Data Science, AI, Machine Learning, SaaS, Enterprise, Analytics, Insights, Automation, Cloud-based, Predictive Analysis.

Tech stack

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