Tensor Planet
Tensor Planet is an AI software company that delivers predictive maintenance for commercial vehicle fleets, using machine learning on existing telematics data to forecast component failures weeks in advance and automate work orders across waste, construction, freight, and municipal fleets.
- Company typePrivate
- Founded2025
- HeadquartersFreehold, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Tensor Planet does
Tensor Planet is a Delaware-incorporated, US-headquartered (Freehold, New Jersey) AI software company that provides predictive maintenance for commercial vehicle fleets. Founded in 2025, the company applies machine learning to real-time telematics data (sensor readings, fault codes, and historical repair records) to forecast component failures two to three weeks in advance across engine, exhaust/aftertreatment, hydraulics, battery, PTO, drivetrain, and body-equipment systems. Its core differentiator versus traditional preventive maintenance and fault-code-based systems is the ability to detect hidden degradation before fault codes trip, prioritize vehicles by risk and downtime cost, and automatically generate technician-ready work orders. The platform integrates natively with the four major commercial telematics providers (Geotab, Samsara, Motive, Verizon Connect) and three CMMS/maintenance platforms (RTA Fleet, Fleetio, WhipAround), requiring no new hardware and going live in days.
The product is delivered as a single unified SaaS platform sold via annual or multi-year subscription on a quote-based, per-vehicle pricing model, with an 8-week free trial offered as the standard onboarding path. Go-to-market is enterprise field sales targeting fleets of 100+ medium and heavy-duty commercial vehicles, with primary verticals being waste management (founding beachhead), construction, and freight/logistics, plus a government/municipal pursuit through Sourcewell and state cooperative purchasing. The company cites documented customer outcomes including a 41% reduction in exhaust-related repairs, $1,600 in annual savings per vehicle, and 10X ROI for a typical 100-vehicle fleet, anchored by named deployments at Troiano Waste Services and an anonymized Maine waste-hauler case study. The company is backed by the Entrepreneurs Roundtable Accelerator (Winter 2025, $150K post-money SAFE) and the Cleantech Open program; founder and CEO Ganes Kesari previously co-founded Gramener (a 250+ person AI services firm acquired by a PE-backed buyer in 2023).
Tensor Planet firmographics
Firmographics- Name
- Tensor Planet
- Legal name
- Tensor Planet
- Website
- https://tensorplanet.com
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Tensor Planet is an AI software company that delivers predictive maintenance for commercial vehicle fleets, using machine learning on existing telematics data to forecast component failures weeks in advance and automate work orders across waste, construction, freight, and municipal fleets.
- Ownership category
- akta.pro rank
Tensor Planet industry classification
Industry- Product category
- Fleet Predictive Maintenance Software
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Integrated Systems Design (7373), Measuring & Controlling Devices, Nec (3829)
- akta.pro primary industry
- Predictive Maintenance & Condition Monitoring Services (CBM/Vibration/Fluid Analysis) (TLAKAGAL)
- akta.pro secondary industries
- Maintenance & Diagnostics Telematics (OBD/CAN, Predictive) (TLABAJAH), Predictive Maintenance & Condition Monitoring (IMAIAMAD)
Keywords
Where Tensor Planet is headquartered
LocationHeadquarters
- HQ city
- Freehold
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Tensor Planet business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure
Revenue model
- SaaS Subscription: Annual or multi-year subscription model for AI fleet predictive maintenance platform. Fleets pay based on vehicle count and duration of service. 8-week free trial offered for initial onboarding.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | 8-week trial with free cancellation |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels5 records
Tensor Planet product offering
Product offeringCore offering
Tensor Planet sells an AI-powered predictive maintenance SaaS platform for commercial vehicle fleets. The software ingests real-time telematics sensor data, fault codes, and historical repair records via APIs from existing telematics devices (Geotab, Samsara, Motive, Verizon Connect) and predicts component failures 2–3 weeks in advance. It delivers risk-prioritized vehicle health scores, technician-ready repair recommendations, and automated work order creation within connected CMMS systems (RTA Fleet, Fleetio, WhipAround).
Product overview
Tensor Planet offers a single unified AI Fleet Predictive Maintenance Platform for commercial fleets. The platform ingests real-time telematics data and historical repair records from connected vehicle systems to produce early failure predictions, prioritized vehicle health scores, and technician-ready repair recommendations. The platform's three-step workflow — Detect, Diagnose, and Save — operates as an integrated system: detection spots degradation weeks before fault codes appear, diagnosis surfaces a prioritized vehicle list with clear component-level guidance, and the save step generates automated work orders in connected CMMS tools. There are no add-on modules; all capabilities (sensor-based failure prediction, telematics integration, automated work orders, ROI estimation) are delivered within the single platform, which integrates natively with telematics providers (Geotab, Samsara, Motive, Verizon Connect) and CMMS platforms (RTA Fleet, Fleetio, WhipAround).
Differentiator
Problem solved
Functional benefit
Products and services
- Tensor Planet AI Fleet Predictive Maintenance Platform AI-powered SaaS predictive maintenance platform for commercial vehicle fleets that ingests real-time telematics data and historical repair records, predicts component failures 2–3 weeks in advance, delivers risk-prioritized repair recommendations, and auto-generates work orders in connected CMMS systems. Designed for enterprise fleet operators with 100+ medium and heavy-duty vehicles in waste management, construction, freight, and municipal sectors.
Quantifiable outcome
- 41% reduction in exhaust-related repairs
- +5 more outcomes
Companies that use Tensor Planet
Customer profileNamed customers2 records
Segments4 records
Ideal customer profiles4 records
Tensor Planet technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability2 records
Feature6 records
Tensor Planet partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core.
- GeotabcoreIntegration partner providing telematics data. Tensor Planet connects directly to Geotab devices and data streams for real-time vehicle health monitoring and predictive maintenance insights.
- SamsaracoreIntegration partner providing telematics data. Tensor Planet integrates with Samsara's fleet management platform to deliver AI-powered predictive maintenance using existing vehicle data.
- MotivecoreIntegration partner for telematics data. Tensor Planet connects with Motive's fleet management tools to enable predictive maintenance without requiring additional hardware.
- Verizon ConnectcoreIntegration partner providing telematics data for real-time vehicle monitoring and predictive failure detection.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Tensor Planet competitors and assessment
Company assessmentDirect peers
- Samsara: Samsara is a leading fleet management platform combining telematics, video, and equipment monitoring with growing native AI-driven maintenance and safety features. It is simultaneously a critical integration partner for Tensor Planet and a direct competitive threat as its platform expands into predictive maintenance.
- Uptake: Uptake is an industrial AI platform with predictive maintenance for fleets and heavy equipment, combining asset data, telematics, and machine learning to forecast failures — directly comparable in AI-on-telematics approach and enterprise fleet target buyer.
- Fleetio: Fleetio is a fleet maintenance and operations management platform that helps fleets track vehicles, schedule service, and manage work orders. It is a Tensor Planet integration partner but also an adjacent competitor as it expands analytics and predictive capabilities within its CMMS workflow.
- Augury: Augury applies AI-driven predictive maintenance to industrial assets, using sensor data to detect failures in rotating equipment and related systems. Comparable in its AI-on-time-series methodology and shift toward fleet/industrial verticals, though Augury's roots are in manufacturing rather than on-road vehicles.
- Preteckt: Preteckt provides AI-driven predictive maintenance specifically for commercial vehicle fleets, using telematics and sensor data to forecast component failures days to weeks in advance — the closest direct competitor to Tensor Planet in terms of customer, methodology, and use case.
- Pitstop: Pitstop is a predictive maintenance platform purpose-built for commercial fleets, using telematics and machine learning to forecast failures and reduce downtime. Directly comparable to Tensor Planet in target customer (fleet operators), methodology, and product surface area.
Broad incumbents
- C3 AI: C3 AI is an enterprise AI software provider with predictive maintenance applications across industrial and fleet verticals. While broader and enterprise-software oriented rather than fleet-native, it represents the high-end incumbent alternative for large fleets evaluating AI maintenance platforms.
- Geotab: Geotab is one of the largest commercial-vehicle telematics platforms globally, providing the data layer that Tensor Planet's models ingest. While not specialized in predictive maintenance, Geotab's MyGeotab SDK and partner ecosystem could enable it to embed similar AI capabilities natively, making it both an enabler and a broad incumbent threat.
- Verizon Connect: Verizon Connect is a large incumbent fleet telematics and fleet management platform serving commercial fleets of all sizes. It supplies data that Tensor Planet ingests but also competes in the broader fleet operations software market where predictive maintenance increasingly matters.
- Motive (formerly KeepTruckin): Motive provides fleet management, telematics, and equipment monitoring for commercial vehicles, including AI-driven safety features. Like Geotab, it is both an integration partner and a broad incumbent with the data, scale, and engineering resources to build native predictive maintenance.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Tensor Planet social profiles
Digital presenceTensor Planet compliance and trust
Trust signalCompliance1 record
Tensor Planet financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tensor Planet leadership team
Management profileNumber of profiles
Profiles5 records
Tensor Planet funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tensor Planet M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Tensor Planet
What does Tensor Planet do?
Tensor Planet sells an AI-powered predictive maintenance SaaS platform for commercial vehicle fleets. The software ingests real-time telematics sensor data, fault codes, and historical repair records via APIs from existing telematics devices (Geotab, Samsara, Motive, Verizon Connect) and predicts component failures 2–3 weeks in advance. It delivers risk-prioritized vehicle health scores, technician-ready repair recommendations, and automated work order creation within connected CMMS systems (RTA Fleet, Fleetio, WhipAround).
Is Tensor Planet a public or private company?
Tensor Planet is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Tensor Planet founded?
Tensor Planet was founded in 2025. It employs 11 to 50 people.
Where is Tensor Planet based?
Tensor Planet is headquartered in Freehold, United States, in the North America region.
How does Tensor Planet make money?
One revenue line is on record: saaS Subscription.
Who are Tensor Planet's main competitors?
Direct peers on record are Samsara, Uptake, Fleetio, Augury, Preteckt and Pitstop. Broad incumbents are C3 AI, Geotab, Verizon Connect and Motive (formerly KeepTruckin).
Does Tensor Planet have an API?
No public API is recorded for Tensor Planet.
What industry is Tensor Planet in?
Tensor Planet's product category is Fleet Predictive Maintenance Software. Its primary akta.pro industry code is TLAKAGAL, Predictive Maintenance & Condition Monitoring Services (CBM/Vibration/Fluid Analysis), with a secondary code of TLABAJAH, Maintenance & Diagnostics Telematics (OBD/CAN, Predictive). Its NAICS code is 54151 and its SIC code is 7373.