Ikigai Labs

Ikigai Labs

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Launch date
Employees
Market cap
-
Net debt
-
Enterprise valuation
$100—150m (Dealroom.co estimates Aug 2023.)
United States (HQ)

Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-188 %
EBITDA00000000
Profit00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000
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DateInvestorsAmountRound
investor

$0.0

round
investor investor investor

$0.0

round
*

$25.0m

Series A
Total Funding000k

Recent News about Ikigai Labs

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Ikigai Labs is a tech startup that operates in the artificial intelligence (AI) market. Their primary offering is a low-code or no-code platform that enables businesses to deploy AI applications. The platform is designed to help businesses find probabilistic relationships and fill in gaps across datasets, even with sparse or limited data. This is particularly useful for tasks such as time series forecasting, demand planning, and new product forecasting.

Ikigai Labs primarily serves businesses that need to analyze large amounts of data quickly and accurately. These businesses range from sales and operations planning teams to insurance companies. The platform is also popular among teams learning AI, with a growing community of thousands of users.

The business model of Ikigai Labs is based on a software-as-a-service (SaaS) model. Customers pay a subscription fee to use the platform, which they can access via the cloud. The platform is designed to be user-friendly, with over 100 pre-built connectors that allow users to upload their spreadsheets or sync their data in real time. Users do not need SQL skills or any help from IT to use the platform.

Ikigai Labs' platform also includes a feature called "expert in the loop" (EiTL). This feature allows the AI models to learn from user feedback and improve over time. This means that the more a business uses the platform, the more accurate and useful the AI models become.

Keywords: Artificial Intelligence, Low-Code Platform, No-Code Platform, Data Analysis, Time Series Forecasting, Demand Planning, SaaS, Expert in the Loop, Real-Time Data Sync, User-Friendly.

Tech stack

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