KAYLEE LYNN STEIN

DOT 3416341MC 1103045ActiveIntrastate HazmatSAN FRANCISCO, CA

COMPANY

Authority since

2020-05-18

MCS-150

2021-05-31 · 2,809 mi (2021)

Fleet

10 units · 3 trailers · 16 drivers

ADDRESS

Physical

1 CHARLTON B GOODLETT PL
SAN FRANCISCO, CA 94102

Mailing

224 S VAN NESS AVE
SAN FRANCISCO, CA 94103

CONTACT

Phone

4158905873

KLSTEIN@PIPELINE.SBCC.EDU

OFFICERS

Primary Officer

KAYLEE LYNN STEIN

Title

DR.

OPERATION & CARGO

Operation classification

Private Property;private Passenger, Business;private Passenger, Non-Business;authorized For Hire;exempt For Hire

Specialty

Towing & Recovery / Driveaway

Cargo types

General FreightHousehold GoodsDriveaway / TowawayPassengersPaper Products

Self-reported by the company on its latest MCS-150 filing (FMCSA census). Reflects what the carrier is authorized and equipped to haul, not actual recent loads.

AUTHORITY

76 mo

Active authority

INSURANCE

None

No coverage on file

RISK GRADE

Moderate Risk

1 risk factors · 0 strengths

OOS RATE

0.0%

0 / 0 inspections

Fleet vs Reality

last 12 months · power-unit VINs from roadside inspections

Checking local VIN index…

Moderate Risk

25/100 risk points1 risk factor · 0 strengths · 2 data pointslow confidence

Weighted heuristic: crashes are decayed by recency and normalized per 100 power units, out-of-service and violation rates use a rolling 24-month window, plus FMCSA BASIC alerts and the CarrierIntel Safety Score (which also decays when compliance has not been verified by a recent inspection). Not the official FMCSA SMS score.

SAFETY PERFORMANCE

Crash Record

0 crashes · 0 fatal · 0 with injuries · 0 tow-away

Clean Inspection Rate

No inspection data

Out-of-Service Rate

—

COMPLIANCE & AUTHORITY

Operating Authority

Active operating authority on file

Authority Events

4 historical event(s) on file

MCS-150 Filing

Last filed 2021-05-31

INSURANCE

Active Coverage

No active insurance policies on file

SUMMARY

No active insurance on file

No inspections in the last 24 months — grade based on limited data