Ikigai

Built upon years of MIT research, Ikigai is a generative AI platform for tabular and time series data. It helps operational teams make faster, better decisions under uncertainty and works with any data: structured or unstructured, clean or dirty, small or big. Unlock the power of AI within a few clicks to: - Prep your data with aiMatch - Predict with aiCast - Do scenario analysis with aiPlan.

ikigailabs.io

Ikigai

ikigailabs.io

HQUS

Team Size124

Open Jobs1

Total Funding-

Latest FundraiseUnknown

TL;DR

What: Generative AI platform for tabular and time-series data (aiMatch, aiCast, aiPlan)

Founders: Devavrat Shah and Vinayak Ramesh

Funding: $38.2M total (including $25M Series A led by Premji Invest)

Origin: Built on MIT research

Company Overview

Problem Domain

Enterprise analytics for tabular and time-series data (forecasting, reconciliation, scenario planning, optimization).

Industry

Software Development

Funding Track Record

Seed- Dec 9, 2021

$13M

Reported seed round announced Dec 9, 2021

Series A- Aug 24, 2023

$25M

Series A led by Premji Invest with participation from Foundation Capital and e& capital

Investor Signal

“Participation from prominent VCs (Premji Invest lead; Foundation Capital participated and has board representation)”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Ikigai

ikigailabs.io

Ikigai

ikigailabs.io

HQUS

Team Size124

Open Jobs1

Total Funding-

Latest FundraiseUnknown

TL;DR

What: Generative AI platform for tabular and time-series data (aiMatch, aiCast, aiPlan)

Founders: Devavrat Shah and Vinayak Ramesh

Funding: $38.2M total (including $25M Series A led by Premji Invest)

Origin: Built on MIT research

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Company Overview

Problem Domain

Enterprise analytics for tabular and time-series data (forecasting, reconciliation, scenario planning, optimization).

Industry

Software Development

Funding Track Record

Seed- Dec 9, 2021

$13M

Reported seed round announced Dec 9, 2021

Series A- Aug 24, 2023

$25M

Series A led by Premji Invest with participation from Foundation Capital and e& capital

Investor Signal

“Participation from prominent VCs (Premji Invest lead; Foundation Capital participated and has board representation)”

Founders

What we do

Related Companies

Company	HQ	Industry	Total Funding
Akaike Technologies	🇮🇳Bengaluru, IN	Data and AnalyticsDeepTechInformation TechnologySoftware	-
OxygenAI	🇹🇭Bangkok, TH	Data and AnalyticsDeepTechEducationInformation TechnologySoftware	-
DevRev	🇺🇸US	Administrative ServicesData and AnalyticsDeepTechInformation TechnologyProfessional ServicesSales and MarketingSoftware	$151M
Ennoventure, Inc.	🇺🇸US	Data and AnalyticsDeepTechInformation TechnologySales and MarketingSecuritySoftware	-
Luzia	🇪🇸ES	—	-

Join the Team

Data Engineer

On-SiteBengaluru East, Karnataka, IN

On-Site • Bengaluru East, Karnataka, IN

We are seeking a Data Engineer who excels in cleaning, transforming, and preparing complex data for integration into machine learning models. In this role, you will work closely with clients to understand their data and ensure it is properly formatted, validated, and optimized for use in our data pipelines.

This position emphasizes data hygiene, reconciliation, and transformation—turning raw, messy data into structured, reliable datasets that flow seamlessly through our systems. The ideal candidate will combine analytical thinking with strong technical skills in Python (NumPy, Pandas) and SQL, bringing a software-engineering mindset to data quality and operational efficiency.

Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

DevOps Engineer

InternshipHamburg, DE

Internship • Hamburg, DE

Software Engineer

InternshipNovi Sad, RS

Internship • Novi Sad, RS

Software Engineer

Full-timeTel Aviv

Full-time • Tel Aviv

Frontend Developer

Part-timeNew York, US

Part-time • New York, US

Product Designer

InternshipUtrecht, NL

Internship • Utrecht, NL

Technical Writer

Full-timeJerusalem

Full-time • Jerusalem

1–3 years of experience in a data-focused role (data scientist, software engineer, data analysis, data operations, or data engineering).
Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field preferred.
Strong proficiency in Python, particularly NumPy and Pandas for data manipulation and transformation.
Solid experience with SQL for data querying, joining, and reconciliation across multiple sources.
Experience building or maintaining ETL/ELT pipelines or data wrangling workflows.
Attention to detail and a commitment to maintaining high data quality and consistency.
Ability to interpret and clean messy or incomplete data for use in production systems.
Excellent communication skills for collaborating with both technical and non-technical stakeholders.

About Ikigai Labs Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.