Building
Temporal
World Models for the Financial Institutions

Time is the core dimension of reality. Kairosity transforms temporal patterns, context, and causality into actionable intelligence helping you forecast, simulate, and decide with foresight.

User
We keep running out of our top-selling sneakers before the end of the month. Predict the next demand spike.
Let's dig in starting with this graph.

Sales Funnel

Sales Funnel Graph
User
I'm not sure which channels from our last campaign drove sales.
This report breaks down the exact ROI for each channel and gives us clear recommendations.

Sales Funnel

Sales Funnel Graph
User
The board is asking how a potential interest rate hike would affect our portfolio.
"You can use this live dashboard to adjust the rate hike and see the projected impact on our assets instantly

Sales Funnel

Sales Funnel Graph

Our Vision

Revolutionizing how machines understand and predict the future through time-aware intelligence

Temporal World Models

Simulate futures, align historical patterns with current signals, and explore "what-if" paths across time. Our world models capture not just what happens — but when and why.

External Context

Enrich forecasts with real-world signals: macroeconomic data, news events, consumer behavior, and regulatory changes. Context-aware models reduce blind spots and anticipate shocks.

Causality

Move beyond correlation. Discover the drivers behind outcomes, trace impacts through causal graphs, and generate interventions that explain not just what changed but why it changed.

Core Capabilities

Most advanced temporal AI platform for forecasting, simulation, and root cause analysis

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Forecasting

Predict market moves, demand, and risks with explainability.

Our advanced AI models analyze historical patterns and real-time data to provide accurate predictions for market trends, demand fluctuations, and potential risks. Every forecast comes with clear explanations of the underlying factors and confidence levels.

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Chapter 1

Forecasting

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Chapter 2

Scenario Simulation

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Chapter 3

Root Cause Analysis

Our Research

Innovation drives our edge in temporal intelligence and forecasting

Research supported by:

AWS StartupsException Raised

TimeFrechet

Benchmark for reliability in internal semantics of time-series models

MASCA: LLM based-Multi Agents System for Credit Assessment(ACL 2025)

Multi agent framework for Credit risk assessment aligning borrower and macro context with fair lending principles

Cultural Temporal Evolution (CVPR 2025)

Evaluating VLMs on how culture evolves over time

Where Kairosity Works

Investment Banking

Forecast deal volumes, detect regime shifts, and run liquidity stress tests.

Credit & BNPL

Model delinquency, assess borrower risk, and manage repayment flows.

FP&A

Simulate cost shocks, demand fluctuations, and capital allocation strategies.

Asset Management

Identify cyclical risks, uncover causal drivers, and optimize hedging.

Energy & Supply Chain

Forecast demand, simulate disruptions, and align with climate & geopolitical shocks.

Insurance & Risk

Model catastrophic events, assess underwriting risks, and optimize pricing strategies.

Talk to the Founders

We are building the world's first Temporal Intelligence Layer. Let's explore how temporal AI can transform your business.

Our founders and creators are associated with....

Microsoft ResearchMicrosoft Research
IIT JodhpurIIT Jodhpur
BITS PilaniBITS Pilani
MIT Media LabMIT Media Lab
Carleton UniversityCarleton University
Georgia TechGeorgia Tech
CloudCVCloudCV
MITACSMITACS
AtlassianAtlassian
Microsoft ResearchMicrosoft Research
IIT JodhpurIIT Jodhpur
BITS PilaniBITS Pilani
MIT Media LabMIT Media Lab
Carleton UniversityCarleton University
Georgia TechGeorgia Tech
CloudCVCloudCV
MITACSMITACS
AtlassianAtlassian
Microsoft ResearchMicrosoft Research
IIT JodhpurIIT Jodhpur
BITS PilaniBITS Pilani
MIT Media LabMIT Media Lab
Carleton UniversityCarleton University
Georgia TechGeorgia Tech
CloudCVCloudCV
MITACSMITACS
AtlassianAtlassian