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Kale AI

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uuid0004ae8

Namestring
Kale AI
Legal namestring
Kale AI
Websiteurl
kale.ai
Company typeenum
Private
Founded yearint
2021
Descriptiontext

Kale AI is a London-based artificial intelligence company founded in 2021 that builds software intelligence layers for urban delivery operations, with a specific focus on enabling the transition from vans to cargo bikes and light electric vehicles (LEVs). The company develops AI-powered routing engines, dispatch automation systems, and predictive analytics tools that integrate with existing Transportation Management Systems (TMS) without replacing them. Its technology stack includes specialized cargo bike routing using GPS trace data and surface-type analysis (asphalt, cobblestone, dirt), urban micro-region embeddings built on Uber's H3 hexagonal indexing combined with OpenStreetMap data and the GeoVex model, and vehicle-specific predictive models that account for how vans and cargo bikes perform differently across diverse urban environments. The company claims quantifiable outcomes including 90% dispatcher workload reduction, 10x faster operational decisions, and 2x optimization efficiency for its delivery management system.

The company's business model centers on a SaaS-based AI Delivery Management System offered through enterprise sales with custom quote-based pricing; the product is currently in beta with early access available via Typeform. Kale AI also generates non-dilutive revenue through EU and government grants, most notably the €1.7M CARGOBIKE-SCALE consortium funded by EIT Urban Mobility in February 2026. Its customer base consists of European cargo bike operators (Urbike in Belgium, Cargonautes in France, Bikelogic in Spain, Pedal Me in the UK, KGS Group in Belgium) and academic research partners (ITU Copenhagen, University of Westminster), with the company leveraging research publications and earned media in outlets like Wired, The Guardian, and Bloomberg as primary marketing channels. The go-to-market combines a product-led beta program with community-led engagement through the CARGOBIKE-SCALE operator consortium, targeting urban delivery operators and LEV fleet operators as primary segments.

Short descriptiontext

Kale AI builds AI-powered delivery management software that optimizes urban logistics and mixed cargo bike/van fleets. It serves European last-mile delivery operators and light electric vehicle (LEV) fleet operators with routing engines, dispatch automation, and predictive analytics that integrate with existing TMS systems.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersLondon, United Kingdom
HQ citystring
London
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI urban logistics, delivery management software, last-mile route optimization, mixed fleet orchestration, cargo bike routing
Industry3 codes
1AI/ML Decision Intelligence & Automated Recommendations
CodeTLAEAKALPrimaryYes
2Urban Micro-Mobility & Courier Routing (Bike/Scooter)
CodeTLAEAGALPrimaryNo
3Routing, Optimization & Dispatch Engines
CodeBPAMANAIPrimaryNo
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Computer Integrated Systems Design7373
Product category
Urban Logistics Software
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1AI Delivery Management System
TypeSubscription Recurring
Description

SaaS-based intelligence layer that integrates with existing TMS systems. Pricing not publicly disclosed. Beta program available for early access.

kale.ai
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Pricing details1 tier
1Beta program for early access
ModelSubscriptionBilling cadenceAnnual
Notes

Early access program available via Typeform. Enterprise-focused pricing with custom quotes expected for full launch.

kale.ai
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Kale AI develops an AI-powered delivery management system that acts as an intelligence layer integrating with existing Transportation Management Systems (TMS) to automate dispatch decisions and optimize mixed fleet (cargo bikes and vans) routing for urban delivery operations. The platform transforms dispatcher expertise into algorithms, performs real-time route optimization, orchestrates operations across micro-hubs and dynamic hubs, and provides data-driven insights for fleet transition to light electric vehicles (LEVs). It is sold as a subscription SaaS product to enterprise logistics operators and is currently available via a beta program.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 12 values shown
  • Cargo bikes deliver 30-75% faster than vans in dense urban areas
+11 more records
Product overview1 text field

Kale AI offers an AI-powered delivery management system (the core product) that integrates with existing Transportation Management Systems to automate dispatch and optimize mixed fleet routing for urban delivery operations. The product suite also includes specialized sub-products: a specialized cargo bike routing engine built from GPS trace data that models speed patterns accounting for surface type and road characteristics, and an urban micro-region embeddings framework that uses machine learning to predict vehicle performance across diverse urban contexts. Together these components address the full intelligence stack for urban logistics — from real-time route optimization to strategic fleet composition decisions.

Product and service3 records
1Kale AI Delivery Management System
CategoryDelivery Management Software
Description

An AI-powered intelligence layer for urban delivery operations that transforms dispatcher knowledge into algorithms, automates dispatch decisions, and optimizes mixed fleet routing across cargo bikes, vans, and multi-hub infrastructure. Integrates seamlessly with existing Transportation Management Systems without replacing them. Targeted at urban delivery operators, last-mile logistics providers, and LEV operators. Currently available via a beta program.

2Urban Micro-Region Embeddings Framework
CategoryPredictive Analytics Framework
Description

A machine learning framework using Uber's H3 hexagonal geospatial indexing and OpenStreetMap-derived vector embeddings (GeoVex model) to predict delivery vehicle performance across diverse urban environments. Enables operators to evaluate vehicle performance in specific urban contexts and make data-driven fleet composition decisions between vans and cargo bikes.

3Specialized Cargo Bike Routing Engine
Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership10 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

Belgium's largest cargo bike delivery fleet operator in Brussels. Co-developed the Last Mile Delivery Study and urban micro-region embeddings research. CARGOBIKE-SCALE consortium partner. Beyond own operations, supports 500+ companies in cargo bike transition and develops CICLE training programme.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

One of France's largest cargo bike fleets across Paris with 40 trained employees. CARGOBIKE-SCALE consortium partner. Co-founder of Boîtes à Vélo and French Cycle Logistics Federation leaders. Advises French Transport Ministry on regulatory frameworks. During Paris Olympics, advised RATP on sustainable logistics operations.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

Cooperative fleet operations founded in 2022 in Sant Cugat, serving enterprise carriers like DHL and Nacex alongside local businesses. Barcelona regulatory environment makes it ideal testing ground for SME-focused intelligence tools. CARGOBIKE-SCALE consortium partner.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-02-01
Description

Software platform built specifically for cargo bike logistics operations. Developed by Cargonautes team, now serves 40+ operators across Europe. Provides specialized tools for cargo bike operations management. CARGOBIKE-SCALE consortium partner.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

Dr. Maria Astefanoaei, assistant professor in data systems group specializing in algorithms for spatial data with applications in urban computing. Part of ITU's Center for Climate IT. Research appears at NeurIPS, SIGSPATIAL, and CIKM. Previously collaborated on Climate Change AI-funded project on service time and delivery efficiency.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-02-01
Description

Academic research partner in CARGOBIKE-SCALE consortium. Collaborating on intelligence infrastructure development for cargo bike logistics operations across Europe.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Danish vehicle manufacturer of Bullitt cargo bikes. Partner in Last Mile Delivery Study providing vehicle data. Makers of e-cargo bikes used in Brussels research.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Vehicle manufacturer bringing automotive expertise to LEV production. New wave manufacturer ensuring robust and agile vehicles to overcome early prototype maturity problems.

9Belgian Cycle Logistics Federation (BCLF)
Strategic tierMinorTypeStrategic or Co-development Partner
Description

Federation representing Belgium's cargo bike logistics sector. Collaborated on 'Beyond theory' research analyzing data from Belgium's cargo bike transition.

kale.ai
Strategic tierMinorTypeStrategic or Co-development Partner
Description

Cargo-bike logistics operator in London providing novel data for urban micro-region embeddings research. Research collaboration partner contributing GPS data for vehicle performance modeling.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Last-mile delivery management software used by couriers and 3PLs. Comparable as a delivery management system, but designed for broader fleet types rather than LEV/cargo bike optimization.

TypeDirect peer
Description

AI-powered dispatch and route optimization platform for last-mile delivery fleets. Highly comparable on the AI routing and dispatcher automation layer, though it does not specialize in cargo bike or LEV operations.

TypeDirect peer
Description

Delivery route optimization engine focused on urban fleets with sustainability and efficiency metrics. Overlaps with Kale AI on urban routing, but without the cargo bike-specific vehicle performance modeling.

TypeDirect peer
Description

Software platform built specifically for cargo bike logistics operations, developed by Cargonautes and now serving 40+ European operators. Listed as a Kale AI consortium partner; competes for the same cargo bike operator accounts.

TypeBroad incumbent
Description

Supply chain visibility platform extending into last-mile orchestration. Comparable as a platform play for delivery operations but operates at a far broader supply-chain scope than Kale AI's urban micro-mobility focus.

TypeDirect peer
Description

Delivery and field service management platform with route optimization for fleets. Comparable on the operational management layer but more horizontal, without LEV-specific capabilities.

TypeBroad incumbent
Description

Mapping and routing platform providing vehicle-specific routing APIs including truck and commercial vehicle profiles. Broad incumbent providing infrastructure that Kale AI's specialized engine could complement or compete with.

TypeDirect peer
Description

Route optimization and dispatch software for delivery and field service fleets. Competes directly on real-time routing, dispatcher support, and multi-vehicle orchestration without Kale AI's cargo bike specialization.

TypeBroad incumbent
Description

Open-source routing and optimization toolkit used by many last-mile startups. Represents the baseline generic routing capability that Kale AI's cargo-bike-specialized engine competes against and claims to outperform by 20%.

TypeBroad incumbent
Description

Enterprise delivery orchestration platform powering large retailer and 3PL last-mile operations. Comparable on dispatch orchestration but addresses a much broader set of fleet types and use cases than Kale AI's LEV focus.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability6 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature9 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles5 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors2 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Kale AI

Urban Logistics Softwarekale.ai

Kale AI builds AI-powered delivery management software that optimizes urban logistics and mixed cargo bike/van fleets. It serves European last-mile delivery operators and light electric vehicle (LEV) fleet operators with routing engines, dispatch automation, and predictive analytics that integrate with existing TMS systems.

What Kale AI does

Kale AI is a London-based artificial intelligence company founded in 2021 that builds software intelligence layers for urban delivery operations, with a specific focus on enabling the transition from vans to cargo bikes and light electric vehicles (LEVs). The company develops AI-powered routing engines, dispatch automation systems, and predictive analytics tools that integrate with existing Transportation Management Systems (TMS) without replacing them. Its technology stack includes specialized cargo bike routing using GPS trace data and surface-type analysis (asphalt, cobblestone, dirt), urban micro-region embeddings built on Uber's H3 hexagonal indexing combined with OpenStreetMap data and the GeoVex model, and vehicle-specific predictive models that account for how vans and cargo bikes perform differently across diverse urban environments. The company claims quantifiable outcomes including 90% dispatcher workload reduction, 10x faster operational decisions, and 2x optimization efficiency for its delivery management system.

The company's business model centers on a SaaS-based AI Delivery Management System offered through enterprise sales with custom quote-based pricing; the product is currently in beta with early access available via Typeform. Kale AI also generates non-dilutive revenue through EU and government grants, most notably the €1.7M CARGOBIKE-SCALE consortium funded by EIT Urban Mobility in February 2026. Its customer base consists of European cargo bike operators (Urbike in Belgium, Cargonautes in France, Bikelogic in Spain, Pedal Me in the UK, KGS Group in Belgium) and academic research partners (ITU Copenhagen, University of Westminster), with the company leveraging research publications and earned media in outlets like Wired, The Guardian, and Bloomberg as primary marketing channels. The go-to-market combines a product-led beta program with community-led engagement through the CARGOBIKE-SCALE operator consortium, targeting urban delivery operators and LEV fleet operators as primary segments.

Kale AI firmographics

Firmographics
Name
Kale AI
Legal name
Kale AI
Website
https://kale.ai
Company type
Private
Founded year
2021
Operating status
Operating
Headcount range
1–10 employees
Short description
Kale AI builds AI-powered delivery management software that optimizes urban logistics and mixed cargo bike/van fleets. It serves European last-mile delivery operators and light electric vehicle (LEV) fleet operators with routing engines, dispatch automation, and predictive analytics that integrate with existing TMS systems.
Ownership category
akta.pro rank

Kale AI industry classification

Industry
Product category
Urban Logistics Software
NAICS
Computer Systems Design and Related Services (54151)
SIC
Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
AI/ML Decision Intelligence & Automated Recommendations (TLAEAKAL)
akta.pro secondary industries
Urban Micro-Mobility & Courier Routing (Bike/Scooter) (TLAEAGAL), Routing, Optimization & Dispatch Engines (BPAMANAI)

Keywords

  • AI urban logistics
  • Delivery management software
  • Last-mile route optimization
  • Mixed fleet orchestration
  • Cargo bike routing

Where Kale AI is headquartered

Location

Headquarters

HQ city
London
HQ country
United Kingdom
HQ region
Europe

Offices1 record

Markets served

Kale AI business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

  1. AI Delivery Management System: SaaS-based intelligence layer that integrates with existing TMS systems. Pricing not publicly disclosed. Beta program available for early access.

Pricing tiers

ModelBillingPrice
SubscriptionAnnualBeta program for early access

Go-to-market motion2 records

Distribution channels2 records

Marketing channels7 records

Kale AI product offering

Product offering

Core offering

Kale AI develops an AI-powered delivery management system that acts as an intelligence layer integrating with existing Transportation Management Systems (TMS) to automate dispatch decisions and optimize mixed fleet (cargo bikes and vans) routing for urban delivery operations. The platform transforms dispatcher expertise into algorithms, performs real-time route optimization, orchestrates operations across micro-hubs and dynamic hubs, and provides data-driven insights for fleet transition to light electric vehicles (LEVs). It is sold as a subscription SaaS product to enterprise logistics operators and is currently available via a beta program.

Product overview

Kale AI offers an AI-powered delivery management system (the core product) that integrates with existing Transportation Management Systems to automate dispatch and optimize mixed fleet routing for urban delivery operations. The product suite also includes specialized sub-products: a specialized cargo bike routing engine built from GPS trace data that models speed patterns accounting for surface type and road characteristics, and an urban micro-region embeddings framework that uses machine learning to predict vehicle performance across diverse urban contexts. Together these components address the full intelligence stack for urban logistics — from real-time route optimization to strategic fleet composition decisions.

Differentiator

Problem solved

Functional benefit

Products and services

  • Kale AI Delivery Management System An AI-powered intelligence layer for urban delivery operations that transforms dispatcher knowledge into algorithms, automates dispatch decisions, and optimizes mixed fleet routing across cargo bikes, vans, and multi-hub infrastructure. Integrates seamlessly with existing Transportation Management Systems without replacing them. Targeted at urban delivery operators, last-mile logistics providers, and LEV operators. Currently available via a beta program.
  • Urban Micro-Region Embeddings Framework A machine learning framework using Uber's H3 hexagonal geospatial indexing and OpenStreetMap-derived vector embeddings (GeoVex model) to predict delivery vehicle performance across diverse urban environments. Enables operators to evaluate vehicle performance in specific urban contexts and make data-driven fleet composition decisions between vans and cargo bikes.
  • Specialized Cargo Bike Routing Engine

Quantifiable outcome

  • Cargo bikes deliver 30-75% faster than vans in dense urban areas
  • +11 more outcomes

Companies that use Kale AI

Customer profile

Named customers5 records

Segments3 records

Ideal customer profiles2 records

Kale AI technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature9 records

Kale AI partnerships and signals

Strategic signal

Partnerships

Ten partnerships are on record, tiered core and minor.

  • UrbikecoreStrategic or Co-development Partner · 1 February 2026Belgium's largest cargo bike delivery fleet operator in Brussels. Co-developed the Last Mile Delivery Study and urban micro-region embeddings research. CARGOBIKE-SCALE consortium partner. Beyond own operations, supports 500+ companies in cargo bike transition and develops CICLE training programme.
  • CargonautescoreStrategic or Co-development Partner · 1 February 2026One of France's largest cargo bike fleets across Paris with 40 trained employees. CARGOBIKE-SCALE consortium partner. Co-founder of Boîtes à Vélo and French Cycle Logistics Federation leaders. Advises French Transport Ministry on regulatory frameworks. During Paris Olympics, advised RATP on sustainable logistics operations.
  • BikelogiccoreStrategic or Co-development Partner · 1 February 2026Cooperative fleet operations founded in 2022 in Sant Cugat, serving enterprise carriers like DHL and Nacex alongside local businesses. Barcelona regulatory environment makes it ideal testing ground for SME-focused intelligence tools. CARGOBIKE-SCALE consortium partner.
  • CykecoreTechnology or Integration · 1 February 2026Software platform built specifically for cargo bike logistics operations. Developed by Cargonautes team, now serves 40+ operators across Europe. Provides specialized tools for cargo bike operations management. CARGOBIKE-SCALE consortium partner.
  • IT University of CopenhagencoreStrategic or Co-development Partner · 1 February 2026Dr. Maria Astefanoaei, assistant professor in data systems group specializing in algorithms for spatial data with applications in urban computing. Part of ITU's Center for Climate IT. Research appears at NeurIPS, SIGSPATIAL, and CIKM. Previously collaborated on Climate Change AI-funded project on service time and delivery efficiency.
  • University of WestminstercoreStrategic or Co-development Partner · 1 February 2026Academic research partner in CARGOBIKE-SCALE consortium. Collaborating on intelligence infrastructure development for cargo bike logistics operations across Europe.
  • Larry vs. HarryminorStrategic or Co-development PartnerDanish vehicle manufacturer of Bullitt cargo bikes. Partner in Last Mile Delivery Study providing vehicle data. Makers of e-cargo bikes used in Brussels research.
  • Minimal XminorStrategic or Co-development PartnerVehicle manufacturer bringing automotive expertise to LEV production. New wave manufacturer ensuring robust and agile vehicles to overcome early prototype maturity problems.
  • Belgian Cycle Logistics Federation (BCLF)minorStrategic or Co-development PartnerFederation representing Belgium's cargo bike logistics sector. Collaborated on 'Beyond theory' research analyzing data from Belgium's cargo bike transition.
  • Pedal MeminorStrategic or Co-development PartnerCargo-bike logistics operator in London providing novel data for urban micro-region embeddings research. Research collaboration partner contributing GPS data for vehicle performance modeling.

Scale indicators9 records

Recent moves7 records

Expansion highlights5 records

Kale AI competitors and assessment

Company assessment

Direct peers

  • Onfleet: Last-mile delivery management software used by couriers and 3PLs. Comparable as a delivery management system, but designed for broader fleet types rather than LEV/cargo bike optimization.
  • Wise Systems: AI-powered dispatch and route optimization platform for last-mile delivery fleets. Highly comparable on the AI routing and dispatcher automation layer, though it does not specialize in cargo bike or LEV operations.
  • Routific: Delivery route optimization engine focused on urban fleets with sustainability and efficiency metrics. Overlaps with Kale AI on urban routing, but without the cargo bike-specific vehicle performance modeling.
  • Cyke: Software platform built specifically for cargo bike logistics operations, developed by Cargonautes and now serving 40+ European operators. Listed as a Kale AI consortium partner; competes for the same cargo bike operator accounts.
  • WorkWave: Delivery and field service management platform with route optimization for fleets. Comparable on the operational management layer but more horizontal, without LEV-specific capabilities.
  • OptimoRoute: Route optimization and dispatch software for delivery and field service fleets. Competes directly on real-time routing, dispatcher support, and multi-vehicle orchestration without Kale AI's cargo bike specialization.

Broad incumbents

  • Project44: Supply chain visibility platform extending into last-mile orchestration. Comparable as a platform play for delivery operations but operates at a far broader supply-chain scope than Kale AI's urban micro-mobility focus.
  • HERE Technologies: Mapping and routing platform providing vehicle-specific routing APIs including truck and commercial vehicle profiles. Broad incumbent providing infrastructure that Kale AI's specialized engine could complement or compete with.
  • Google OR-Tools: Open-source routing and optimization toolkit used by many last-mile startups. Represents the baseline generic routing capability that Kale AI's cargo-bike-specialized engine competes against and claims to outperform by 20%.
  • Bringg: Enterprise delivery orchestration platform powering large retailer and 3PL last-mile operations. Comparable on dispatch orchestration but addresses a much broader set of fleet types and use cases than Kale AI's LEV focus.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

Kale AI social profiles

Digital presence

Kale AI financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Kale AI leadership team

Management profile

Number of profiles

Profiles5 records

Kale AI funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Kale AI M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Kale AI

What does Kale AI do?

Kale AI develops an AI-powered delivery management system that acts as an intelligence layer integrating with existing Transportation Management Systems (TMS) to automate dispatch decisions and optimize mixed fleet (cargo bikes and vans) routing for urban delivery operations. The platform transforms dispatcher expertise into algorithms, performs real-time route optimization, orchestrates operations across micro-hubs and dynamic hubs, and provides data-driven insights for fleet transition to light electric vehicles (LEVs). It is sold as a subscription SaaS product to enterprise logistics operators and is currently available via a beta program.

Is Kale AI a public or private company?

Kale AI is a private company. It is classified as venture growth investor backed and is currently operating.

When was Kale AI founded?

Kale AI was founded in 2021. It employs 1 to 10 people.

Where is Kale AI based?

Kale AI is headquartered in London, United Kingdom, in the Europe region.

How does Kale AI make money?

One revenue line is on record: AI Delivery Management System.

Who are Kale AI's main competitors?

Direct peers on record are Onfleet, Wise Systems, Routific, Cyke, WorkWave and OptimoRoute. Broad incumbents are Project44, HERE Technologies, Google OR-Tools and Bringg.

Does Kale AI have an API?

No public API is recorded for Kale AI.

What industry is Kale AI in?

Kale AI's product category is Urban Logistics Software. Its primary akta.pro industry code is TLAEAKAL, AI/ML Decision Intelligence & Automated Recommendations, with a secondary code of TLAEAGAL, Urban Micro-Mobility & Courier Routing (Bike/Scooter). Its NAICS code is 54151 and its SIC code is 7373.

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