Ikigai Tech Stack

Generative AI platform for forecasting, planning, and data reconciliation

Software Development San Francisco, California 51–200 employees Founded 2019 Privately Held

Ikigai builds generative AI for operational decision-making on tabular and time series data. The tech stack—Python, PyTorch, TensorFlow, Kubernetes, PostgreSQL, DynamoDB, with Ray for distributed ML—reveals a compute-heavy platform designed to handle messy, multi-modal datasets at scale. Active projects center on data transformation pipelines, forecasting workflows, and ML optimization, while hiring remains minimal (6 roles, mostly data and engineering roles at mid-level), suggesting the core product is mature and the immediate focus is on deployment and client support.

Tech Stack 40 technologies

Core StackAWS Python NumPy Pandas Kubernetes Helm C++ Rust PyTorch TensorFlow Docker PostgreSQL Elasticsearch DynamoDB AWS RDS Terraform TypeScript JavaScript React SQL AWS EKS Apache Arrow Dremio Ray Git Jupyter Hub Apache Superset Plotly Dash HTML CSS+10 more

What Ikigai Is Building

◆Challenges

Troubleshooting complex issues
Ensuring high client satisfaction
Data-related challenges
Optimizing ml performance
Scalable data integration
Cloud-native deployment challenges
Cleaning messy data
Data reconciliation

▲Active Projects

Data transformation pipelines for aicast ingestion
Reporting and dashboarding solutions
Forecasting and analytics workflows
Predictive modeling platform
Ml optimization and deployment
Cloud-native deployment

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Data

Engineering

Support

Seniority

Mid

Junior

Senior

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About Ikigai

Ikigai is a generative AI platform founded in 2019 and based on MIT research. It targets operational teams in supply chain, finance, and demand forecasting who need faster decisions from noisy or incomplete data. The platform operates across three workflows: data preparation (aiMatch), forecasting (aiCast), and scenario planning (aiPlan). The company handles both structured and unstructured datasets and works across small to large scales. Ikigai is privately held, 51–200 employees, with engineering and data science concentrated in the United States and India.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2019

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Ikigai use?

AWS, Python, PyTorch, TensorFlow, Kubernetes, PostgreSQL, DynamoDB, Elasticsearch, Ray, and Apache Arrow. Frontend built on React, TypeScript, and Plotly Dash for visualization.

Is Ikigai hiring engineers?

Yes, 2 active engineering roles (minimal hiring velocity). Also hiring 3 data roles and 1 support role. Positions posted in United States and India.

What does Ikigai's platform do?

Generative AI for forecasting, data preparation, and scenario analysis on tabular and time series data. Serves supply chain, finance, and demand sensing teams managing messy or incomplete operational data.