Collections Intelligence Platform

Everything is a
data problem.

We design modern data infrastructure and machine learning solutions for collections organizations that want measurable lift: not just smarter tools, but smarter systems.


AI is not failing the industry.
The data foundation is.

Collections organizations generate massive volumes of operational data: placements, payments, calls, digital engagement, and vendor activity. Yet most struggle to turn it into insight or scalable decisioning.

Information lives across disconnected systems, varies in structure and quality, and is rarely designed to support advanced analytics or AI in production.

Saige exists to solve that problem by delivering enterprise-grade data infrastructure and decision intelligence purpose-built for collections.

CRM / DialerSiloed
Payment ProcessorSiloed
Digital EngagementSiloed
Vendor FilesSiloed
🔒No unified decisioning layer. No production AI.

How we think about building durable advantage in collections.

01
Data = Opportunity

The key to growth is creating a foundation of clean, trusted, and well-organized data. Structure unlocks leverage.

Modern growth is constrained less by ambition and more by the structure supporting it.

02
Beyond Data-Driven

Modern agencies must be data-integrated, not just data-driven. Decision intelligence should live inside daily operations.

Intelligence only creates value when it lives inside daily workflows.

03
The Flywheel Effect

Continuous ingestion, curated structure, dynamic decisioning, AI optimization: compounding performance over time.

The difference between 5% lift and 25% lift often isn't the algorithm. It's the data environment.


Three layers. One compounding advantage.

Most vendors stop at data or stop at dashboards. Saige connects all three layers: the infrastructure, the intelligence, and the interactive tools that make decisions happen every day.

The foundation that makes everything else possible.

Collections organizations generate enormous volumes of operational data, but it lives across disconnected systems and rarely arrives clean. Saige ingests, normalizes, and governs that data from every source your operation depends on, building a production-grade warehouse purpose-built for analytics and AI.

Without this foundation, models are guessing and reports are unreliable. With it, every layer above has something solid to stand on.

Learn more

The layer that makes everything else reliable.

Most analytics platforms hand you data and leave interpretation to you. The semantic layer is where Saige encodes your business: what "liquidation" means in your context, how cost-to-collect should be calculated, which accounts belong to which strategy. That logic lives in the platform, not in someone's head.

The result: every model, every report, and every decision code is grounded in a single, consistent version of truth. Numbers mean the same thing to your analysts, your operators, and your leadership.

Learn more

Intelligence your team actually uses every day.

The infrastructure and intelligence mean nothing if they don't change how your team operates. Saige builds interactive, browser-based decision models custom-configured for each client's data, workflows, and operational reality, not generic dashboards adapted from a template.

Your operators open them every morning. No training required. No configuration. Just clear, defensible answers grounded in your own data.

See the models

Your data, made actionable.
Starting on day one.

Saige builds custom decision models for each client: interactive, browser-based platforms that turn complex operational data into clear daily guidance. No BI training. No dashboards to configure. Just answers.

Agent Analytics

Agent Performance Model

Queue-adjusted, decile-aware scoring that separates agent skill from portfolio quality. Stop guessing who your top performers really are, and who just has a better queue.

Queue-adjusted performance scoring
Decile alignment analysis
RPC rate, PTP rate, conversion attribution
Call analytics and talk-time efficiency
Coaching action recommendations
Request a Demo
Saige Analytics — Agent Performance Platform
⚙ Internal Use Only
Agent Scorecard
Quality Metrics
Call Analytics
Decile & Queue
Coaching Actions
Total Collected
$1.24M
Accounts Worked
8,412
Portfolio Liq %
14.8%
Avg RPC Rate
38.2%
#AgentScoreCollectedLiq %RPC %Avg DecileFlags
1Martinez, J.94$148k18.3%44.1%7.8
2Thompson, K.88$132k16.9%41.7%7.2
3Williams, D.71$119k15.2%37.4%6.1
4Patel, A.65$104k13.8%34.9%5.4
5Chen, R.48$88k11.2%28.6%4.9⚑⚑
Portfolio Economics

Client Profitability Model

Understand the real economics of your early-out portfolio by client, by placement cohort, and by workflow. See exactly where margin is made and where it's lost.

Net profitability by client and cohort
Overhead allocation and cost-to-collect
Commission and fee structure modeling
Break-even analysis by placement age
Scenario modeling with Save as Default
Request a Demo
Saige Analytics — Client Profitability Model
Overview
Client Detail
Cost Inputs
Scenarios
Heatmap
Gross Revenue
$2.87M
Net Profit
$641k
Net Margin
22.3%
Cost-to-Collect
$0.18/$
ClientPlacementsGross RevVar CostsFixed AllocNet ProfitMargin
Northstar Health3,241$842k$198k$124k$214k25.4%
Midwest Medical2,108$611k$162k$89k$148k24.2%
Valley Health Sys.1,876$524k$156k$79k$101k19.3%
Lakeview Clinic984$312k$104k$52k$38k12.2%
0–30d
31–60d
61–90d
91–120d
>120d
$0–500
38%
31%
24%
16%
9%
$501–1k
42%
36%
28%
20%
11%
$1k–5k
45%
39%
32%
23%
13%
$5k+
41%
34%
26%
17%
8%
Sales & Pricing

New Customer Pricing Model

Simulate fee structures and placement assumptions before you sign. Know your break-even, expected margin, and risk exposure on every prospective client relationship.

Fee structure and commission modeling
Break-even and margin simulation
Overhead allocation by workflow
Placement curve estimation
Scenario comparison and export
Request a Demo
Saige Analytics — New Customer Pricing Model
Draft Scenario
Placement Inputs
Fee Structure
Cost Assumptions
Projection
Compare
Projected Revenue
$384k
Projected Net
$91k
Projected Margin
23.7%
Break-Even Liq %
9.4%
Placement Volume2,400 accts
Avg Balance$1,240
Total Placed$2.98M
Expected Liq %13.2%
Commission Rate35%
Liq 8%→ -2.1% margin
Liq 10%→ 7.4% margin
Liq 12%→ 16.8% margin
Liq 14%→ 24.3% margin
Liq 16%→ 31.1% margin
Placement Intelligence

Placement Analyzer

Evaluate placement performance across age buckets, balance tiers, and account types. Identify where your strategy is working and where placements are quietly leaking value.

Placement curve by cohort and age
Balance tier performance breakdown
Liquidation rate benchmarking
Workflow assignment analysis
Decile distribution by placement batch
Request a Demo
Saige Analytics — Placement Analyzer
Placement Curves
Balance Tiers
Cohort Compare
Decile View
Total Placements
14,882
Avg Liq Rate
13.4%
Benchmark
11.1%
vs. Benchmark
+2.3pp
0d
180d
Balance TierAccountsLiq %vs BenchmarkAvg $ CollectedROI
$0 – $5004,21018.2%+4.1pp$682.1×
$501 – $1,0003,88114.7%+2.8pp$1123.4×
$1,001 – $5,0005,10211.3%+0.9pp$2844.8×
$5,000+1,6897.8%-1.8pp$1,2405.2×

How Collection Bureau of America increased dollars collected per account by 62%.

Saige replaced CBA's fragmented reporting with a unified ML-ready data platform, custom-built around their workflows, portfolios, and operational realities. Not a generic model. Not a dashboard. A purpose-built decisioning system.

62%
Increase in dollars collected per account
$1.69
$2.74 avg per account
80%
Of calls on top-2-decile accounts post-Saige
Feb '25
Saige implementation go-live
Monthly Performance — Jan 2024 through Dec 2025
Pure call performance · excludes digital-attributed payments
Dollars per Call
% in Top 2 Deciles
Saige Go-Live
$6
$4
$2
$0
Saige Live
100%
66%
33%
0%

"We went from not knowing why our numbers were moving to having a model that tells us exactly which accounts to work, in what order, every morning. The difference is night and day."

— VP of Operations, Collection Bureau of America

Request the Case Study →

Three common entry points.

Depending on your urgency, clarity, and internal capacity, most engagements begin one of three ways.

A
Full Platform

End-to-End Platform Engagement

Implement the full data and ML platform to drive immediate production lift. Best for organizations ready to move fast and invest in a lasting competitive advantage.

B
Structured Assessment

Structured Assessment

Evaluate your data quality, workflows, and analytics maturity with a clear roadmap to production value. The right start when you need clarity before commitment.

C
Targeted Project

Targeted Project

Start with a single high-impact initiative while building toward the full platform. Delivers immediate ROI and builds organizational confidence in the approach.


Built with purpose.
Driven by outcomes.

Mission

Enterprise-grade intelligence at a practical cost.

Saige Analytics delivers enterprise-grade data science and infrastructure at a practical cost, empowering agencies of any size to compete with the industry's most advanced platforms.

We are hyper-focused on our clients' success; building secure, scalable data systems and machine learning models that transform fragmented data into actionable insights, driving smarter decisions, stronger recoveries, and lasting operational impact.

Vision

A future where every agency operates like a Fortune 500 platform.

To redefine how the collections industry uses data, creating a future where every agency operates with the intelligence, automation, and efficiency of a Fortune 500-level platform.


Ready to build on better data?

Start with a conversation. We'll assess your current data environment and show you exactly where the opportunity is.

We'll send you the full case study and follow up shortly. No pitch deck.