Predictive quality metrics · multifamily real estate

Stop reacting to maintenance. Start predicting it.

Augrented synthesizes millions of public records and portfolio data into predictive quality scores. Foresee building violations, protect your NOI, and increase resident NPS — 12 months ahead.

Request a pilot View pricing & API docs
Chicago Austin Orlando Kansas City New Orleans
Portfolio health monitor
Q4 2025 · MidWest REIT Holdings · 1,247 properties
Improving
18%
risk
Low risk
↓ 64 pts since Q1 intervention
was 82% · 0 violations predicted
800 N Michigan Ave
Chicago · 240 units
0 predicted
4000 N Broadway
Chicago · 167 units
1–9 predicted
2200 S Cottage Grove
Chicago · 88 units
10+ predicted

145,000+

Properties analyzed

80%+

Forecast accuracy

5

Major metros

50M+

Data points processed

7yr

Training history

The shift

Reactive management is already too late.

The reactive way
How most portfolios still operate
  • Portfolio averages mask outliers. "66% of repairs done in 24h" hides the buildings where tenants churn.
  • Violations surface after inspectors or residents complain — months after the underlying issue appeared in public data.
  • Emergency repairs cost 4–6× planned maintenance. Non-renewals hit before any dashboard shows why.
The Augrented way
Predictive · 12-month horizon
  • Gradient-boosted ML trained on 7-year violation, complaint, and permit histories — per building, not portfolio averages.
  • Forecast severe class B+C violations 12 months out, with 80%+ accuracy. Intervene before residents feel it.
  • Delivered via dashboard, REST API, or MCP server — whatever fits your existing workflow and tech stack.

How you access it

Three ways in. One data model.

Dashboard and PDF reports for operations teams. REST API for PropTech integrations. MCP server for AI-first platforms.

Portfolio Predictive Health — Q3 2025.pdf
Augrented · Predictive Building Intelligence
Portfolio Predictive Health
Q3 2025 Report · MidWest REIT Holdings · 1,247 properties
Improving
78.4
Quality score / 100
↑ +12.3 vs Q2
1,102
Properties: 0 violations
88% of portfolio
122
Properties: 1–9 violations
10% of portfolio
23
Properties: 10+ violations
Requires action
Top risk properties — immediate action required
01
4000 N Broadway, Chicago
167 units · permit lapse 18mo · complaint spike +340%
10+ predicted
02
2200 S Cottage Grove, Chicago
88 units · chronic violation history · peer rank bottom 8%
10+ predicted
03
1415 W Division St, Chicago
54 units · 311 complaint rate elevated
1–9 predicted
HTTP 200 OK · application/json
──────────────────────────────────────────────────────
{
  "building_id": "CHI-17041250010000",
  "address": "4000 N Broadway, Chicago IL 60613",
  "predicted_violation_bin": "10+",
  "macro_f1_confidence": 0.808,
  "horizon_months": 12,
  "risk_factors": [
    {"feature": "complaint_spike_30d", "delta": "+340%", "severity": "high"},
    {"feature": "permit_lapse_months", "value": 18, "severity": "medium"},
    {"feature": "peer_percentile", "value": 0.08, "severity": "high"}
  ],
  "recommendation": "High priority — schedule preventative inspection Q1",
  "webhook_alert_sent": true
}
> Connecting to Augrented MCP server...
✓ Authenticated · MidWest REIT Holdings

User: Which Chicago properties are at severe violation
      risk next quarter?

> augrented: select_city("chicago")
✓ City set: Chicago, IL

> augrented: find_landlords("MidWest REIT Holdings")
> augrented: list_landlord_buildings()

  Scanning 23 properties in portfolio...
  Running 12-month violation forecasts...

Severe risk (10+ violations predicted):

  4000 N Broadway       · confidence 0.84 · 167 units
  2200 S Cottage Grove  · confidence 0.81 ·  88 units
  1415 W Division St    · confidence 0.77 ·  54 units

  Shared factor: permit lapse > 18 months
  → Schedule preventative inspections Q1.

Measured outcomes

The numbers you'll take to your board.

88%+
First-time fix rate

Predicting equipment failure before it becomes an emergency means your team arrives knowing exactly what to fix.

15%
Higher lease renewals

Residents renew when maintenance doesn't surprise them. Proactive intervention drives NPS before renewal season.

4–6×
Emergency cost savings

Every dollar spent on preventative maintenance saves $4–$6 on emergency repairs. Predictive scheduling pays for itself.

Pricing

Priced for how you work.

All tiers share the same predictive model. You choose the access layer that fits your team.

SME

$99/mo

100 premium reports / month

No annual commitment

For small landlords & managers

  • Up to 10 buildings monitored
  • 100 premium building reports
  • 12-month violation forecasting
  • Risk score & alert emails
  • Self-serve · no minimum
Get started — $99/mo

Insights UI

$1.50–$2.00

per unit / month · billed annually

Minimum 1,000 units

For operations & asset managers

  • Interactive portfolio risk dashboard
  • 12-month predictive violation forecasting
  • Automated weekly PDF compliance reports
  • Per-building quality scores & risk bins
  • Multi-city portfolio support
Book a demo

Developer API

$850/mo

platform fee + $0.10 per API request

Volume tiers available

For PropTech & enterprise IT

  • JSON access to 145,000+ ML predictions
  • Webhooks for real-time risk alerts
  • Full historical data access across all 5 metros
  • Yardi & RealPage integration support
  • SLA & dedicated technical support
Book a demo
Most advanced

AI / MCP server

$2,500/mo

flat rate · up to 50,000 queries/month

Overage pricing available

For AI-first PropTech platforms

  • MCP server for Claude, GPT-4, custom LLMs
  • Natural language portfolio queries in real time
  • Semantic search across building histories
  • Portfolio aggregates & geographic hotspots
  • Everything in Developer API included
Book a demo

3-month pilot

Run a pilot. See your blind spots before your residents do.

We onboard your portfolio, run three months of predictive reports, and show you exactly which properties were at risk before any complaints hit your desk.

Request a pilot