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Leasi

Control center unifying machine telematics, maintenance, and rental billing for contractors

Leasi is a Norwegian cloud platform that pulls telematics data (location, hours, emissions) from connected heavy-machinery brands into one dashboard, and layers maintenance work-order tracking, rental order-to-invoice workflows, and cross-company job-site collaboration on top of that unified fleet view.

€1.1M pre-seed (~12.6M NOK / ~$1.22M total raised), closed July 2024, from StartupLab, Skanska, Gnist Capital, and Weseed, plus a grant from Innovation Norway raisedEarly Stage
Founded 2022 · Named customers/case studies include Skanska (Norway's largest contractor, using Leasi to manage 8,000+ machines and equipment units; Skanska Digital Director Christoffer Hernæs sits on Leasi's board following its investment) and NRC Group (rolled out first in Norway, then Sweden). Other logos shown on the marketing site: Rental One, Risa, Syltern, Vassbakk & Stol, Entreprenørservice, and Martinsen Duvholt. Vendor states 700+ users and 20,000+ managed machine/equipment objects across Norway, Sweden, and Finland, with self-reported customer results of a 177% increase in maintenance work orders processed and a 146% increase in rental order lines. LinkedIn lists a 2-10 person team; PitchBook lists 15 employees. Despite the high-profile Skanska relationship, funding remains pre-seed-only, the team is small, and the company is only about 4 years old, so it is assessed as Early Stage rather than Growth Stage.
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Why This Tool Exists

The Problem

Contractors, equipment rental companies, and public-sector fleet owners run mixed-brand machine fleets where each OEM (Volvo, Caterpillar, Liebherr, John Deere, etc.) has its own proprietary telematics portal. Fleet managers must check separate dashboards and spreadsheets to see machine location, hours, and emissions, and separately run maintenance scheduling and rental order-to-invoice processes on paper or in disconnected tools - making it hard to get one real-time view of utilization, maintenance status, and billing across machines and companies sharing the same project.

The Solution

Leasi authenticates into connected OEM telematics systems and normalizes machine location, operating hours, and emissions data into one "control center" dashboard. On top of that unified fleet view it adds a Maintenance module (service scheduling, checklists, work orders, and external-repairer coordination), a Rental & Orders module (resource calendars, customer registers, and order-to-invoice billing), and Collaboration Projects that let a general contractor and its rental/subcontractor partners share visibility into the same job-site equipment.

How You Use It

Delivery Method
SaaSWeb AppMobile App
Integrations
John DeereJCBHitachiLiebherrVolvoCaterpillarBomagBellTrackunitABAXDevinco (telematics/OEM data sources)Unit4 (ERP/finance)Ditio (site collaboration/reporting)Reginn / Sentralregisteret (Norwegian national machine register - data source)Statens vegvesen / Norwegian Public Roads Administration (data source)
Disciplines
Project Phases
Construction Administration
Project Types
Infrastructure, Commercial, Industrial

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Machine/equipment fleet list, Telematics or sensor connection per machine (where available)
Optional:Maintenance service history, Rental customer and order records, Project/site assignment data
Formats:Live OEM telematics feeds (John Deere, JCB, Hitachi, Liebherr, Volvo, Caterpillar, Bomag, Bell, via Trackunit/ABAX/Devinco), Manual data entry for non-connected equipment
Output
What you get
Format:Web dashboard plus mobile app for field maintenance and rental workflows
Fields:Machine location (GPS), Operating hours, Emissions data, Idle time, Maintenance work orders and service due dates, Rental order and invoice status, Fleet utilization rate
Algorithm
How it works
Model:Not publicly specified as an AI/ML model - Leasi is fundamentally a fleet-data aggregation and workflow platform: it normalizes telematics feeds from connected OEM/sensor brands and layers rules-based maintenance scheduling and rental billing logic on top. The company's own site lists a dedicated "Artificial Intelligence (AI)" module as "Coming" (not yet released as of research date), described only as offering "even smarter control" with no technical detail disclosed.
Accuracy:Not publicly specified - no independently verified accuracy benchmark; vendor cites self-reported customer usage increases (177% more maintenance work orders, 146% more rental order lines) rather than a model accuracy figure
Privacy
How your data is protected
Retention:Per Leasi's privacy policy, personal data "will not be stored for longer than needed for the purpose," and is erased upon termination of the customer relationship unless law requires longer retention. No fixed retention period (in days/years) is disclosed.
Training:Not publicly specified - the privacy policy makes no mention of using customer or fleet data to train AI/machine-learning models
Compliance:GDPR-referenced privacy policy (Norwegian/EU company), No SOC 2, ISO 27001, or other third-party security certification found on public sources
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Consolidating multi-brand heavy machinery telematics (location, hours, emissions) into one fleet dashboard
  • ·Scheduling and documenting preventive maintenance and repairs across a machine fleet
  • ·Managing machinery rental orders from booking through invoicing
  • ·Sharing job-site equipment visibility across general contractors, subcontractors, and rental partners on the same project
  • ·Tracking fleet-wide emissions and idle time for utilization optimization and sustainability reporting

Pricing

Free
"Start for Free" option referenced on the marketing site; no details on what the free tier includes are disclosed
Pro
Not publicly specified - site directs users to "Book a demo" / contact sales; no published rate card
Enterprise
Custom pricing for large fleets and multi-company collaboration deployments (e.g., Skanska's 8,000+ machine rollout); contact vendor
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Research Sources & Data QualityLast verified: 2026-07-16
Verified Data (10)
problem, solution, deliveryMethod, integrations, yearFounded, fundingTotal, customerBase, privacy-retention, privacy-location, privacy-compliance
Not Found (6)
pricing-dollar-amounts, api-documentation, soc2-or-third-party-certifications, ai-training-data-use, algorithm-accuracy-benchmark, exact-customer-count
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.