Catalyst ingests millions of federal data points — procurement records, workforce metrics, program outcomes — and surfaces the patterns human analysts miss until the audit arrives.
47
Agencies
2.4B+
Data Points/Day
94%
Audit Time Saved
Grant Distribution
FY2026 · Federal Regions 1–10
Anomaly Detection
Procurement · Contract #7734
Workforce Attrition
↓ 12.4% YoY> SELECT anomalies FROM procurement
WHERE confidence > 0.92
AND fiscal_year = 2026;
✓ 14 anomalies detected · 2.3ms
Every row below is a conversation we've had with a program manager who recognized their own reporting in the left column.
| Domain | Legacy Reporting | Catalyst AI |
|---|---|---|
| Audit Prep | 6-week manual audit preparation | Continuous compliance scoring |
| Data Silos | Siloed spreadsheets across 14 offices | Unified data lake, single query |
| Fraud Detection | Reactive fraud detection post-incident | Predictive anomaly alerts, 72hrs early |
| Reporting | Static PDFs sent to oversight committees | Live dashboards, committee-ready exports |
| Budget Defense | Manual ROI calculation, 3 analyst-weeks | Automated program impact scoring |
| Workforce | Attrition trends discovered at exit interviews | Leading indicators flagged 90 days prior |
| Procurement | Vendor anomalies found in post-award review | Real-time bid pattern deviation alerts |
Recognized your reporting? → See how fast the transition takes
Federal data points ingested daily
Reduction in audit preparation time
Federal agencies deployed
Avg. anomaly detection lead time
The cost of not having Catalyst isn't a line item. It's the 3 AM before a committee hearing, the program that couldn't prove its impact, the attrition no one saw coming.
Your team has been pulling data from 6 disconnected systems for 3 weeks. The numbers are inconsistent. The committee will notice. You're defending a $40M initiative with a spreadsheet that contradicts itself on page 4.
Catalyst synthesizes every data source into a single authoritative record. Program impact scores update nightly. Your budget defense brief generates in 4 minutes, with source citations for every figure.
The program launched 18 months ago. You have outputs — training completions, site visits, reports submitted. What you don't have is outcomes. The evaluators want to know if the needle moved. You're not sure it did.
Catalyst traces program interventions to measurable downstream indicators — employment rates, service utilization, demographic shifts — across participating jurisdictions. Attribution models update as new data arrives.
Exit interviews told you why they left. What they didn't tell you is who's planning to leave next quarter. By the time the pattern shows up in HR reports, you've already lost institutional knowledge that takes 18 months to rebuild.
Catalyst correlates engagement indicators, project assignment patterns, and external labor market signals to surface flight risk scores for critical roles. Retention interventions happen before the conversation becomes an exit interview.
We walked into the Senate Appropriations hearing with a 4-page brief that answered every question before it was asked. The committee chair asked who built our analytics team. It's three people and Catalyst.
Marcus Delgado
Deputy CIO, Department of Labor
Before Catalyst, our quarterly program review took 11 days of analyst time. Now it runs overnight. I used those 11 days to actually read the results instead of producing them.
Priya Krishnamurthy
Program Director, HHS OASH
The anomaly detection caught a vendor deviation pattern that would have taken our contracting office 6 months to find manually. That one flag paid for the platform 40 times over.
James Okafor
State Director, WIC Program, Texas HHSC
Catalyst connects to your existing data infrastructure — FPDS, USASpending, HRIS feeds — without a systems integration project. Most agencies see their first anomaly flag within 72 hours of provisioning.
Security & Compliance
FedRAMP Authorized
IL-4 Compliant
FISMA High
SOC 2 Type II
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