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Hiboo

Mixed-fleet data platform unifying multi-brand heavy equipment and vehicle telematics

Hiboo logs into 100+ OEM and sensor telematics systems on a customer's behalf and normalizes the data into one dashboard and API, giving contractors, equipment rental companies, and software integrators a single view of location, utilization, idle time, maintenance needs, and CO2 emissions across mixed-brand fleets of heavy equipment, trucks, and light vehicles.

€9.3M Series A (~$10.2M), closed January 2024, led by Emerald Technology Ventures and Nabtesco Technology Ventures with ISAI, Future Industry Ventures, Ring Capital, and Citizen Capital participating. Third-party trackers (Crunchbase, Tracxn) list ~$10.9M total raised across 4 rounds including earlier seed/grant funding. Nabtesco's announcement references its investment thesis being defined "in partnership with the Bouygues Group," but Bouygues is not listed as a direct investor in any public funding round. raisedGrowth Stage
Founded 2017 · Named customers/case studies include Yprema (French recycling and materials group), Bernasconi (Swiss contractor, shortened its invoicing process by one week/month), and GAP Group (UK equipment rental); vendor also cites an unnamed "major industrial equipment rental company" that identified equipment over-usage worth roughly 700 billable days/month. Vendor states 60,000+ pieces of connected equipment tracked across 100+ countries and 100+ integrated OEM/sensor data sources; ZoomInfo lists ~40 employees. Exact number of distinct paying customer accounts is not publicly disclosed. Founded 2017 (9 years old), but only one significant disclosed funding round and modest total funding relative to age - assessed as Growth Stage rather than Established given the ~$10-14M funding level is below the $50M+ typically associated with Established AEC vendors, and a specific customer count (e.g., 200+) is not confirmed.
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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction contractors and equipment rental companies run mixed fleets of heavy equipment, trucks, and light vehicles from dozens of different OEMs, each with its own proprietary telematics portal and login. Fleet managers must check many separate manufacturer dashboards to see machine location, hours, and fuel use, making it hard to spot idle equipment, plan preventive maintenance from real usage data, or produce a single utilization or CO2 report across a whole fleet.

The Solution

Hiboo authenticates into each OEM and sensor telematics system on the customer's behalf and normalizes the data - location, engine hours, fuel/energy use, error codes - into one platform and REST/Kafka API. It builds a digital inventory of the fleet that updates automatically, groups equipment into "workspaces" by project or site, flags idle or out-of-geofence equipment in real time, and schedules preventive maintenance from actual hour-meter data rather than fixed calendar intervals.

USAGE

How You Use It

Delivery Method
SaaSAPI
Integrations
Procore (marketplace listing)SAP (listed technology partner)CaterpillarKomatsuVolvoJohn DeereLiebherrJCBHitachiGeotabover 100 OEM/telematics/sensor data sources total per vendor
Disciplines
Construction
Workflows
Coordination & Delivery, Operations & Facility Management
Project Phases
Construction Administration
Project Types
Commercial, Infrastructure, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Telematics/OEM account credentials or data-sharing consent for connected equipment, Equipment fleet list (makes, models, serial numbers)
Optional:Manual equipment records for non-connected/older machines, Custom fields, Attached documents (manuals, certificates)
Formats:Live telematics API/CAN-bus feeds from 100+ OEM and sensor sources, CSV import for manual equipment records
Output
What you get
Format:Web dashboard plus REST/Kafka API feed of normalized fleet data
Fields:Equipment location/GPS position, Engine/operating hours, Fuel or energy consumption, Idle time and utilization rate, Geofence and inactivity alerts, Maintenance due dates (from hour-meter data), Error/fault codes, CO2 emissions estimate
Algorithm
How it works
Model:Not publicly specified as an AI/ML model - Hiboo is fundamentally a telematics data-integration and analytics platform: it authenticates into 100+ OEM/sensor telematics systems, normalizes their differing data schemas into one standard format, and applies rules-based analytics (thresholds, benchmarks) rather than a disclosed machine-learning model. No computer vision, NLP, or predictive-ML methodology is documented on the company site.
Accuracy:Not publicly specified - no independently benchmarked accuracy figures are published; the company cites customer-reported outcomes instead (e.g., a rental customer identifying equipment over-usage worth roughly 700 billable days/month, another shortening its invoicing process by one week/month)
Privacy
How your data is protected
Retention:Personal data retained "for as long as necessary to provide the Services" per the privacy policy (no fixed duration disclosed). Separately, production system backups are kept on a rolling 7-day continuous backup plus one month of weekly backups, per the API security documentation.
Training:Not publicly specified - no statement found on whether customer equipment/telematics data is used to train AI or analytics models
Compliance:ISO 27001 certified, GDPR-compliant privacy policy (French/EU company), Data encrypted at rest (AES-256) and in transit (TLS/HTTPS), Annual third-party penetration testing (latest by Bastion.tech, January 2025), Hosted on AWS infrastructure, which is itself SOC 1/SOC 2, ISO 27001, and PCI DSS Level 1 accredited (inherited from the cloud provider, not an independent Hiboo audit)
API
Integration
Endpoint:REST API and Kafka streaming API, documented at docs.hiboo.io / spec.hiboo.io (requires account access; no public base URL disclosed outside the authenticated developer portal). Documentation emphasizes polling-strategy guides rather than a webhook/push product.
Method:REST (GET/POST) for equipment and fleet data, plus a Kafka-based streaming API for real-time updates
USE CASES

Use Cases

  • ·Consolidating multi-brand heavy equipment and vehicle telematics into a single fleet dashboard
  • ·Identifying idle or underutilized equipment to right-size a rental or owned fleet
  • ·Scheduling preventive maintenance from actual engine-hour data instead of fixed calendar intervals
  • ·Automating equipment invoicing and billing accuracy based on real usage data
  • ·Tracking fleet-wide CO2 emissions for sustainability and decarbonization reporting
  • ·Sharing standardized equipment data between general contractors and equipment rental partners
PRICING

Pricing

Free
No free tier or published trial; all plans require contacting sales ("Start now" leads to a contact form)
Pro
Platform plan - dashboard for organizing, tracking, and reporting on fleet equipment (jobsite/equipment profiles, custom fields, zones inventory, global map, alerts, email reports); price not publicly listed, contact vendor
Enterprise
Bundle plan (vendor's "Popular" tier) combines the Platform and API plans; an API-only plan (data collection, transforms, sandbox, rate limiting) is also available separately. All pricing is custom/quote-based and not publicly listed.
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Research Sources & Data QualityLast verified: 2026-07-16
Data Sources (17)
Verified Data (11)
problem, solution, deliveryMethod, yearFounded, fundingTotal, customerBase-named-accounts, algorithm-approach, privacy-compliance, api-auth, disciplines, projectTypes
Not Found (6)
pricing-specific-amounts, exact-customer-count, ai-training-data-use, webhook-support, specific-api-base-url, accuracy-benchmarks
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.
ALTERNATIVES

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