Built on MIT research. Production-ready at Fortune 5 scale.

Meet Your AI Co-Workers

One foundation model. Multiple enterprise applications.

Planning

AI Co-Planner

● Live Now

Unify demand, supply, and operations into future-based plans. Generate forecasts, run scenarios, and optimize ahead of issues.

For CPG, Retail & Manufacturing

See It In Action

✓ 3 weeks → 30 seconds per forecast

✓ 99%+ forecast accuracy

✓ Instant what-if scenarios

✓ Automatic optimization

Operations

AI Co-Operator

Automate supply chain execution from procurement to delivery.

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Analytics

AI Co-Analyst

Transform business analysis across FP&A, operations, sales, and marketing.

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Trusted by Fortune 5 Companies

One Model, All Your Enterprise Tasks

Stop buying separate tools for every business function. One foundation model learns your business and applies everywhere.

Today

Separate Tools for Each Task

  • Forecasting Tool
  • Optimization Tool
  • What-If Tool
  • Planning Tool
  • Analytics Tool
  • Collaboration Tool

The Problem:

  • 3+ weeks per forecast
  • Manual data integration
  • Siloed teams & systems
  • Always reacting, never ahead
WITH IKIGAI

One Foundation Model for All Tasks

AI Co-Workers

Zero-shot across all functions

The Result:

  • 30 seconds per forecast
  • Automatic data unification
  • Real-time collaboration
  • Proactive, future-based

From fragmented tools to unified intelligence

One foundation model unifies internal and external data, learns your business patterns, and enables proactive planning across all functions.

Forecasting

Generate accurate forecasts across categories with zero-shot transfer.

What-If Analysis

Run instant scenarios across any variable to understand impact.

Explainability

Understand what drives outcomes and validate AI decisions.

Recommendations

AI suggests optimal actions based on your goals and constraints.

Alerts & Optimization

Identify issues automatically and optimize against constraints.

Collaboration

Teams work together on plans in real-time with full transparency.

"What used to take our team 3 weeks now takes 30 seconds with Ikigai's AI Co-Workers."

— VP Supply Chain, Fortune 5 Retailer

90%

Reduction in Time

From 3 weeks to 30 seconds

99%+

Forecast Accuracy

Across all product categories

$2.4M

Annual Cost Savings

Per Fortune 5 customer

Why Structured Data Needs Its Own Foundation Model

LLMs transformed text. But enterprise operations run on structured data that LLMs can't handle.
LLMs
LGMs (Ikigai)
Feature
IKIGAI solution
Other solutions
Designed for
Text sequences
Lime checkbox
Relational graphs
Best for
Unstructured data
Lime checkbox
Structured data
Use cases
Writing, translation, summarization
Lime checkbox
Forecasting, planning, optimization
Examples
ChatGPT, Claude
Lime checkbox
Ikigai AI Co-Workers

Ikigai's patented Large Graphical Models understand:

Causal Relationships

Automatically discover what drives what in your business

Business Constraints

Respect inventory limits, capacity, and business rules

Temporal Patterns

Understand seasonality, trends, and time dependencies

Cross-Functional Dependencies

Model how supply, demand, and operations interact

Full-Stack Advantage: Foundation Model to Application

We built both the foundation model AND the applications - creating a defensible moat and superior customer outcomes.

Tighter Integration

Model optimized specifically for enterprise tasks, not generic AI

Better Performance

No API latency. Works with your data on-premise or in cloud.

Continuous Improvement

Every customer interaction improves the model for all customers

Defensible Moat

Can't be replicated by wrapping GPT-4 or other LLMs

The Foundation Layer for Enterprise AI

Just as foundation models unified text AI - replacing separate models for translation, summarization, coding, and Q&A - we're unifying structured data AI across planning, operations, and analysis.

One foundation model. Zero-shot transfer across business functions. Production-ready today.

Ready to Transform Your Business?

See how Fortune 5 companies replaced weeks of manual work with 30-second agentic workflows.