ACCELERATE SIGNAL DISCOVERY. expand alpha opportunities.

Unify fragmented data into one trusted layer. Onboard new sources in hours, backtest more signals across markets, and validate strategies faster so you can capture opportunities before competitors do.

OutcomeCatalyst

Platform

Problem/Solution Split

Problem/Solution Split

Accelerate signal generation across commodities, equities, and derivatives. Unify fragmented data, surface signals faster, and give PMs and quants novel insights for faster profitability.

Accelerate signal generation across commodities, equities, and derivatives. Unify fragmented data, surface signals faster, and give PMs and quants novel insights for faster profitability.

Problem

Fragmented trading, risk, and third-party data systems take months to integrate and hinder signal discovery.

Problem

Fragmented trading, risk, and third-party data systems take months to integrate and hinder signal discovery.

Solution

OutcomeCatalyst unifies all data into one governed layer. PMs can find signals sooner and validate their thesis faster.

Solution

OutcomeCatalyst unifies all data into one governed layer. PMs can find signals sooner and validate their thesis faster.

HOW IT WORKS

HOW IT WORKS

How Our Agents Drive Capital Markets Workflows

How Our Agents Drive Capital Markets Workflows

OutcomeCatalyst agents plug into your stack to transform raw data into actionable signals — so portfolio managers, quants, and risk teams spend less time wrangling data and more time trading profitably.

OutcomeCatalyst agents plug into your stack to transform raw data into actionable signals — so portfolio managers, quants, and risk teams spend less time wrangling data and more time trading profitably.

Ingest + Orchestrate

Real-time data pipelines that scale automatically with new sources

Automate

Audit-ready lineage and compliance

Featurize

Feeds your backtests and models with high-quality inputs aligned to your data model

Converse

Query your entire data layer in plain language

CASE STUDIES

Use Cases Examples

Backtest drift strategies by unifying estimates, filings, and alt data

5X Acceleration of Signal Generation in Investment Research


5X Acceleration of Signal Generation in Investment Research


CUT BACKTEST PREP TIME BY 60%

Parse trustee/indenture reports to model waterfalls and OC triggers

Cut data ingestion time by 24X, reducing data engineering overhead by 40%

REDUCE MANUAL MODELING EFFORT BY 40%

Parse trustee/indenture reports to model waterfalls and OC triggers

REDUCE MANUAL MODELING EFFORT BY 40%

Onboard FX/commodity feeds quickly to test carry and correlation trades before markets move

Reduced CFO time spent on financial analysis from weeks to hours


TEST NEW MACRO SIGNALS 5X FASTER

$50m rev/year clinical trials
portco

$50m ARR clinical trials portco

Onboard FX/commodity feeds quickly to test carry and correlation trades before markets move

$50m rev/year clinical trials
portco

Benefits

Three Key Outcomes

Faster Data Onboarding

Reduce onboarding from weeks to under an hour per source. Accelerate time-to-backtest so you can move from data to decisions faster.

Reduced Risk Exposure

Automated QA and complete audit trails ensure data integrity, giving you confidence in every trade and lowering risk exposure.

Quicker Investment Decisions

Shorten the cycle from idea to backtest. Validate more strategies, test more ideas, and uncover more paths to alpha.

Faster Data Onboarding

Reduce onboarding from weeks to under an hour per source. Accelerate time-to-backtest so you can move from data to decisions faster.

Reduced Risk Exposure

Automated QA and complete audit trails ensure data integrity, giving you confidence in every trade and lowering risk exposure.

Quicker Investment Decisions

Shorten the cycle from idea to backtest. Validate more strategies, test more ideas, and uncover more paths to alpha.

Faster Data Onboarding

Reduce onboarding from weeks to under an hour per source. Accelerate time-to-backtest so you can move from data to decisions faster.

Faster Data Onboarding

Reduce onboarding from weeks to under an hour per source. Accelerate time-to-backtest so you can move from data to decisions faster.

Reduced Risk Exposure

Automated QA and complete audit trails ensure data integrity, giving you confidence in every trade and lowering risk exposure.

Reduced Risk Exposure

Automated QA and complete audit trails ensure data integrity, giving you confidence in every trade and lowering risk exposure.

Quicker Investment Decisions

Shorten the cycle from idea to backtest. Validate more strategies, test more ideas, and uncover more paths to alpha.

Quicker Investment Decisions

Shorten the cycle from idea to backtest. Validate more strategies, test more ideas, and uncover more paths to alpha.

FAQ

WE ANSWER YOUR QUESTIONS

What types of data sources can you integrate?

What types of data sources can you integrate?

What types of data sources can you integrate?

What types of data sources can you integrate?

How fast can we onboard new datasets?

How fast can we onboard new datasets?

How fast can we onboard new datasets?

How fast can we onboard new datasets?

Does this replace our existing quant stack?

Does this replace our existing quant stack?

Does this replace our existing quant stack?

Does this replace our existing quant stack?

How does this improve backtesting?

How does this improve backtesting?

How does this improve backtesting?

How does this improve backtesting?

Is it secure and compliant?

Is it secure and compliant?

Is it secure and compliant?

Is it secure and compliant?

What measurable outcomes should we expect?

What measurable outcomes should we expect?

What measurable outcomes should we expect?

What measurable outcomes should we expect?

How quickly will we see ROI?

How quickly will we see ROI?

How quickly will we see ROI?

How quickly will we see ROI?

How does this help different teams (PMs, Quants, Risk)?

How does this help different teams (PMs, Quants, Risk)?

How does this help different teams (PMs, Quants, Risk)?

How does this help different teams (PMs, Quants, Risk)?

Can this scale across multiple PM pods?

Can this scale across multiple PM pods?

Can this scale across multiple PM pods?

Can this scale across multiple PM pods?

What if our data sources are highly unstructured?

What if our data sources are highly unstructured?

What if our data sources are highly unstructured?

What if our data sources are highly unstructured?

Ready to Deploy Your AI Agents?

Query in your native language and let your favorite LLM do the heavy lifting. Dig into new insights in seconds.

Ready to Deploy Your AI Agents?

Query in your native language and let your favorite LLM do the heavy lifting. Dig into new insights in seconds.

Ready to Deploy Your AI Agents?

Query in your native language and let your favorite LLM do the heavy lifting. Dig into new insights in seconds.

OutcomeCatalyst

all your enterprise data in one trusted layer.

Get instant, trusted answers across finance, operations, and capital markets — all from a single source of truth.

© 2025 OutcomeCatalyst. All rights reserved.

OutcomeCatalyst

all your enterprise data in one trusted layer.

Get instant, trusted answers across finance, operations, and capital markets — all from a single source of truth.

© 2025 OutcomeCatalyst. All rights reserved.

OutcomeCatalyst

all your enterprise data in one trusted layer.

Get instant, trusted answers across finance, operations, and capital markets — all from a single source of truth.

© 2025 OutcomeCatalyst. All rights reserved.

OutcomeCatalyst

all your enterprise data in one trusted layer.

Get instant, trusted answers across finance, operations, and capital markets — all from a single source of truth.

© 2025 OutcomeCatalyst. All rights reserved.