Ikigai Labs
Ikigai Labs is a San Francisco-based enterprise AI company, founded in 2019, that builds a SaaS platform powered by patented Large Graphical Models for forecasting, scenario planning, and data reconciliation across Fortune 500 retail, manufacturing, financial services, and healthcare customers; acquired by Celonis in May 2026.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Ikigai Labs does
Ikigai Labs is a San Francisco-based enterprise AI company founded in 2019 by MIT Professor Devavrat Shah and Kamal Ahluwalia to commercialize nearly two decades of MIT research in decision intelligence, causal inference, and large graphical models. Its core technology is a patented foundation model called the Large Graphical Model (LGM), purpose-built for multivariate tabular and time series data, which the company claims operates with greater computational efficiency and less data than general-purpose AI models or spreadsheet-based forecasting. On top of the LGM, Ikigai built an end-to-end generative AI platform comprising three core modules: aiCast for multivariate time series forecasting, aiPlan for what-if scenario planning and optimization (evaluating up to 10^19 scenarios via reinforcement learning), and aiMatch for data matching and reconciliation across disparate sources. The platform also includes a low-code AI App Builder, an AI Co-Planner agent for unified demand-supply-finance planning, and an eXpert-in-the-loop mechanism for human-in-the-loop model reinforcement. The offering is delivered as enterprise SaaS on AWS and Azure marketplaces, with 200+ pre-built data connectors (SAP, Shopify, MongoDB, Google Drive, MySQL) and a Python SDK/API for developer integration. The platform is SOC 2 Type II and HIPAA compliant.
The company targets Fortune 500 enterprises across retail (American Eagle, Spirit Halloween), manufacturing, financial services (HSBC), and healthcare/life sciences (Cardinal Health, Medica), addressing pain points such as forecast inaccuracy across large SKU hierarchies, supply-chain stockouts, fraud detection, and reconciliation workloads. Revenue is generated through quote-based enterprise SaaS subscriptions, sold via direct field sales, co-marketing with cloud and ERP partners (AWS, Azure, SAP, OpenCrowd), and a pharma-focused collaboration with CustomerInsights.AI. The company raised approximately $30M+ in venture funding, anchored by a $25M Series A led by Premji Invest in August 2023. In May 2026, Celonis signed a definitive agreement to acquire Ikigai Labs, folding its decision intelligence capabilities into the Celonis Context Model; founder Devavrat Shah became Celonis's Chief Scientist of Enterprise AI.
Ikigai Labs firmographics
Firmographics- Name
- Ikigai Labs
- Legal name
- Ikigai Labs
- Website
- https://ikigailabs.io
- Company type
- Private
- Founded year
- 2019
- Operating status
- Acquired
- Headcount range
- 11–50 employees
- Short description
- Ikigai Labs is a San Francisco-based enterprise AI company, founded in 2019, that builds a SaaS platform powered by patented Large Graphical Models for forecasting, scenario planning, and data reconciliation across Fortune 500 retail, manufacturing, financial services, and healthcare customers; acquired by Celonis in May 2026.
- Ownership category
- akta.pro rank
Ikigai Labs industry classification
Industry- Product category
- Enterprise AI Decision Intelligence Software
- NAICS
- Software Publishers (513210), Software Publishers (5132)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Model Deployment, Serving & Inference Platforms (HDAAABAF)
Keywords
Where Ikigai Labs is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Ikigai Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Platform Subscription: Cloud-based AI platform delivered as SaaS. Subscription model with no maintenance costs or IT support required for implementation. Available on AWS and Azure public clouds.
- Enterprise Licensing: Enterprise deployment options with API toolkits for custom integration into existing business process applications and BI platforms.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS Platform |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels6 records
Ikigai Labs product offering
Product offeringCore offering
Ikigai Labs provides an enterprise SaaS AI platform built on patented Large Graphical Models (LGMs) for multivariate tabular and time series data. The platform delivers three core products — aiCast for demand/time series forecasting, aiPlan for AI-powered what-if scenario planning, and aiMatch for data reconciliation — alongside a low-code AI App Builder and an AI Co-Planner assistant. It serves Fortune 500 enterprises across retail, manufacturing, financial services, and healthcare with 200+ data connectors and on-premise or cloud deployment.
Product overview
Ikigai Labs offers an end-to-end generative AI platform built on patented Large Graphical Models (LGM) for enterprise tabular and time series data. The platform consists of three core AI models: aiCast for multivariate time series forecasting, aiPlan for what-if scenario planning and optimization, and aiMatch for data reconciliation. Additional modules include AI App Builder for low code/no code solution development and eXpert-in-the-loop for integrating human domain expertise. The platform connects via 200+ pre-built data connectors and provides both business user interfaces and developer APIs. As of May 2026, Ikigai Labs has been acquired by Celonis, with its technology being integrated into the Celonis Context Model.
Differentiator
Problem solved
Functional benefit
Brands
- aiCast: Multivariate time series forecasting product using Large Graphical Models for accurate demand forecasting with limited historical data.
- aiPlan
- aiMatch
- AI Builder
- AI Co-Planner
- AI Academy
Products and services
- Ikigai Platform End-to-end generative AI platform for enterprise tabular and time series data, powered by patented Large Graphical Models. Enables business users and data scientists to transform enterprise data into predictive and actionable insights across forecasting, planning, and reconciliation.
- aiCast Multivariate time series forecasting product that delivers 20%+ more accurate forecasts than traditional methods, working with as little as 2 months of historical data and adapting to dynamic market conditions. Used by enterprises for demand sensing and forecasting.
- aiPlan What-if scenario planning module using reinforcement learning to evaluate up to 10^19 scenarios and identify optimal plans based on business goals and constraints, including cost, labor, and inventory optimization.
- aiMatch AI-powered data matching and reconciliation product that connects and reconciles data from disparate sources, fills in missing data, and harmonizes internal and external datasets without requiring common columns. Used by financial services and healthcare organizations.
- AI App Builder Low-code/no-code platform for rapidly prototyping and building AI solutions with drag-and-drop functionality, integrated aiLLM for Python code generation, custom facets, and workflows. Includes a robust API toolkit for data scientists and developers.
- AI Co-Planner AI agent-powered planning assistant that unifies demand, supply, finance, sales, and revenue into future-based plans, transforming multi-week forecasting cycles into 30-second insights with always-on scenario exploration.
- Ikigai Connectors 200+ pre-built data connectors for major enterprise data sources including AWS, Azure, SAP, Shopify, MongoDB, Google Drive, and MySQL, enabling data import/export across cloud, ERP, e-commerce, and data pipeline systems.
Quantifiable outcome
- 90%+ forecast accuracy across all product categories
- +5 more outcomes
Companies that use Ikigai Labs
Customer profileNamed customers6 records
Segments7 records
Ideal customer profiles4 records
Ikigai Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability9 records
Feature8 records
Ikigai Labs partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core, secondary and primary.
- CeloniscoreCelonis acquired Ikigai Labs to provide the Context Engine for enterprise-wide AI adoption. Ikigai's decision intelligence, simulation, and forecasting capabilities became part of the Celonis Platform, specifically the Celonis Context Model. Ikigai founder Devavrat Shah joined Celonis as Chief Scientist of Enterprise AI, and co-founder Vinayak joined as Field CTO.
- MITcoreMIT became a Celonis shareholder as part of the Ikigai Labs acquisition. MIT-owned patents previously licensed to Ikigai Labs are now exclusively licensed to Celonis. Ikigai was founded on nearly two decades of MIT research led by Professor Devavrat Shah.
- CustomerInsights.AI (CIAI)secondaryStrategic collaboration to innovate AI solutions for the pharmaceutical industry. Joint development of AI-powered solutions for pharma-specific use cases.
- AWS (Amazon Web Services)primaryCloud infrastructure partner. Ikigai platform is available on AWS public cloud marketplace. Partnership page dedicated to AWS integration capabilities.
- Azure (Microsoft)primaryCloud infrastructure partner. Ikigai platform is available on Azure public cloud marketplace. Partnership page dedicated to Azure integration.
- SAPprimaryEnterprise software integration partner. Dedicated partnership page for SAP integration connecting to SAP data sources and ERP systems.
- OpenCrowdsecondaryChannel partner for Ikigai solutions distribution and implementation services.
Scale indicators8 records
Recent moves6 records
Expansion highlights5 records
Ikigai Labs competitors and assessment
Company assessmentBroad incumbents
- C3.ai: C3.ai is an enterprise AI application platform with pre-built industry solutions for demand forecasting, supply chain, and financial operations — overlapping Ikigai's verticals and use cases but at much larger scale and broader portfolio.
- Celonis: Process mining and execution management leader that acquired Ikigai in 2026 to embed AI-driven forecasting and planning into the Celonis Context Model. Direct strategic parent and adjacent platform.
- Palantir Technologies: Palantir's Foundry and AIP platforms integrate enterprise data and run predictive/prescriptive analytics for operations and decision support. Comparable to Ikigai's decision-intelligence positioning across Fortune 500 customers.
- Databricks: Databricks Mosaic AI offers model training, serving, and forecasting on the data lakehouse. Comparable to Ikigai as an enterprise AI/ML platform operating on tabular enterprise data, though much broader in scope.
Emerging players
- Aible: Aible provides enterprise AI for business users with rapid model building and scenario analysis on tabular data. Direct niche overlap with Ikigai's low-code/no-code App Builder and aiPlan scenario planning.
Direct peers
- ThoughtSpot: ThoughtSpot offers AI-powered analytics and natural-language search over enterprise data, with embedded forecasting capabilities. Comparable to Ikigai's analytics-first, business-user-oriented AI platform.
- H2O.ai: H2O.ai provides an enterprise AI platform with automated machine learning, feature stores, and predictive modeling on tabular data — a close technical analog to Ikigai's LGM-based forecasting and decision intelligence.
- Anaplan: Anaplan is a connected planning platform for sales, supply chain, finance, and HR forecasting. Highly comparable to Ikigai's aiCast forecasting and aiPlan scenario planning for enterprise business users.
- DataRobot: DataRobot delivers an enterprise AI/ML platform with automated model building, deployment, and monitoring for predictive analytics — directly overlapping Ikigai's AI App Builder and time series forecasting on structured data.
- o9 Solutions: o9 Solutions is a planning and decision-making platform for demand sensing, supply chain forecasting, and scenario planning. Closely comparable to Ikigai's aiCast forecasting and aiPlan what-if analysis for retail/manufacturing.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Ikigai Labs social profiles
Digital presenceIkigai Labs compliance and trust
Trust signalCompliance2 records
Ikigai Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ikigai Labs leadership team
Management profileNumber of profiles
Ikigai Labs funding detail
Funding detailFunding overview
Funding rounds3 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ikigai Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Ikigai Labs
What does Ikigai Labs do?
Ikigai Labs provides an enterprise SaaS AI platform built on patented Large Graphical Models (LGMs) for multivariate tabular and time series data. The platform delivers three core products — aiCast for demand/time series forecasting, aiPlan for AI-powered what-if scenario planning, and aiMatch for data reconciliation — alongside a low-code AI App Builder and an AI Co-Planner assistant. It serves Fortune 500 enterprises across retail, manufacturing, financial services, and healthcare with 200+ data connectors and on-premise or cloud deployment.
Is Ikigai Labs a public or private company?
Ikigai Labs is a private company. It is classified as corporate owned and is currently acquired.
When was Ikigai Labs founded?
Ikigai Labs was founded in 2019. It employs 11 to 50 people.
Where is Ikigai Labs based?
Ikigai Labs is headquartered in San Francisco, United States, in the North America region.
How does Ikigai Labs make money?
Two revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are enterprise Licensing.
Who are Ikigai Labs's main competitors?
Broad incumbents on record are C3.ai, Celonis, Palantir Technologies and Databricks. Aible is listed as an emerging player. Direct peers are ThoughtSpot, H2O.ai, Anaplan, DataRobot and o9 Solutions.
Does Ikigai Labs have an API?
Yes. Ikigai provides a robust API toolkit that enables data scientists and developers to build robust solutions that can be standalone or integrated with existing business process applications and BI platforms. The API toolkit provides controlled access to Ikigai's powerful aiMatch, aiCast, and aiPlan models. Developer documentation is at docs.ikigailabs.io.
What industry is Ikigai Labs in?
Ikigai Labs's product category is Enterprise AI Decision Intelligence Software. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI). Its NAICS code is 513210 and its SIC code is 7372.