Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

Aspaara® AI-Copilot is AI planning software for automotive bodyshops. Optimize staffing, job prioritization, workshop utilization, and on-time delivery with intelligent, data-driven planning.

News

Blog 1 year ago
REP-TALK ist da - und aspaara dabei!
REP-Talk ist da! Die erste Talkshow für die Schweizer Auto- und Carrosseriebranche ist jetzt online und bereit zum Streamen! In...
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Report
Blog 1 year ago
Model Update!
Release 3.2 Model Update: 75% less planning effort thanks to automated damage classification. With the latest update of our AI-powered...
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Report
Blog 1 year ago
aspaara beim IfA Autohausgipfel 2025
Der Institut für Automobilwirtschaft (IfA) Autohausgipfel 2025 steht vor der Tür - und wir von aspaara AG freuen uns besonders auf...
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Report
Blog 2 years ago
Improved prediction through MatchingCore Model Update
New model update at MatchingCore in version 2.8: On average 24% improved prediction
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Report
Blog 2 years ago
Verbesserte Vorhersage durch MatchingCore Model Update
Neues Modell Update bei MatchingCore in Version 2.8: Im Durchschnitt 24% verbesserte Vorhersage
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Report
Blog 2 years ago
Ankündigung: EXPERTsuisse Jahrestagung 2024 - Künstliche Intelligenz in Wirtschaftsprüfung, Steuerwesen und Treuhand!
Wir freuen uns sehr, bekannt zu geben, dass wir bei der diesjährigen EXPERTsuisse Jahrestagung vertreten sein werden! Diese...
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Report
Blog 2 years ago
aspaara MatchingCore - AI-Copilot for Resource Planning for Automotive Repair Now Available in Microsoft Azure Marketplace
Microsoft Azure customers worldwide gain access to the only holistic AI-Copilot for Resource Planning in Automotive Repair Workshops-...
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Report
Blog 2 years ago
aspaara MatchingCore - AI-Copilot for Resource Planning for Professional Services Now Available in Microsoft Azure Marketplace
Microsoft Azure customers worldwide gain access to the only holistic AI-Copilot for Resource Planning in Audit and Assurance - aspaara...
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Report
Blog 2 years ago
Die Grenzen der Mandatsplanung in der Wirtschaftsprüfung: Können sie überwunden werden?
"Viele Wirtschaftsprüfer arbeiten bereits an der Effizienzgrenze" In der Mandatsplanung gibt es verschiedene Zielkonflikte zu...
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Blog 2 years ago
Die Bedeutung einer holistischen Mandatsplanung in der Wirtschaftsprüfung
Die Bedeutung einer holistischen Mandatsplanung in der Wirtschaftsprüfung
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Tech stack

Technologies named in job postings at aspaara over the last 12 months, by layer, with the share of postings for each.
Technologies in use
11
Postings analysed
2
Stack modernity
75/100
Languages
Python
Frameworks & libraries
PyTorch
Scikit-learn
Cloud & platforms
Kubernetes
MLFlow
Developer tools
Docker
Practices & domains
Machine Learning
Time Series Forecasting
AI Agents
Digital Twin
RAG
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Growth

Hiring Momentum
28/100
Slowing
Open positions
2
0 opened / 2 closed in 30 days
Median time-to-fill
227 days
faster than 9% of the market
ATS activity
Every ~7 hours
Today
Hiring Dynamics 0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
50% ▼
Solutions
50% ▼
Activity Timeline
Added BPMN to stack Sep 2026
Added Machine Learning to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Zurich
Zurich Switzerland
HQ
2 open roles 50% engineering 10-50 est. staff
hires for AI/ML, Solutions
219 Josefstrasse, Zürich, ZH, 8005, CH
seen since Dec 2025 company site, job postings

Jobs

≈ $103k – $232k per year (Estimated) • In office • Full-Time • Master's Degree • Zurich
Python
MLFlow
Scikit-learn
AI Agents
PyTorch
RAG
Time Series Forecasting
Machine Learning
DevOps
Docker
Kubernetes
Robotics
Digital Twin
Apply
≈ $61k – $163k per year (Estimated) • In office • Full-Time • 2+ years exp • Zurich
BPMN
Apply

Financials

Total raised
$2.2M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
Round Announced Amount
Venture - Series Unknown 2022 $2.2M Details