FieldDay

What FieldDay does

FieldDay is a mobile-first, no-code vision AI platform developed by New Material. The FieldDay iOS application allows non-technical users to collect and annotate custom image datasets, iteratively train computer vision classifiers directly on their iPhone, test models in real time, and export trained models for integration with external tools and workflows. Underlying technical components include on-device training, real-time inference, model export, and a thermal-aware inference adaptation that modulates live prediction frequency based on device heat state. A flagship integration with Apple HomeKit lets trained classifiers act as triggers that surface relevant smart-home controls in the camera view, positioning vision models as a lightweight interface into IoT systems.

The product is distributed as a consumer app through the Apple App Store, with a stated product-led growth motion targeted at a horizontal persona of individual domain experts and enthusiasts who want to build custom vision AI without machine-learning or programming expertise. Pricing and subscription tiers are not publicly disclosed, and the only revenue stream referenced is mobile-app subscription recurring revenue. The legal entity structure is dual: New Material Studio Ltd (UK, private limited, company number 14847657) is the primary UK operating entity, with a parallel US entity (New Material, Inc.). The founding team of four comprises co-founders Aaron Abentheuer and Gabriel Mitchell, CTO Nick Nikolov, and Design Engineer Vedant Gurav. A complementary product, Anonymous Camera, is also distributed via the App Store under the same New Material entity.

FieldDay operates with no disclosed external funding, no enterprise customers, and minimal marketing surface beyond organic social (LinkedIn, X), a YouTube tutorial, and case studies on the New Material site. The platform's strategic emphasis on democratizing vision AI authoring for non-ML users, combined with Apple ecosystem integrations, suggests the company is positioning for consumer/prosumer distribution rather than enterprise SaaS, though no commercial traction metrics are available to validate this positioning.

Name

FieldDay

Legal name

New Material Studio Ltd

Website

https://field.day

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

FieldDay is a no-code iOS app that lets non-technical users collect, annotate, and iteratively train custom computer vision classifiers on-device, then export or trigger them via Apple HomeKit. It is built by London-based New Material and targets individual domain experts and enthusiasts.

Ownership category

akta.pro rank

Product category

No-code AI Platform

SIC

Services-Computer Programming Services (7371)

akta.pro primary industry

Real-Time Vision at the Edge (on-device CV/video) (HDAAAJAE)

akta.pro secondary industry

Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)

Keywords

• No-code AI development
• Computer vision platform
• Mobile AI training
• On-device machine learning
• Custom image classifiers

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2C

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Mobile app distribution: FieldDay app is available for download on the iOS App Store. Revenue generation mechanism not explicitly disclosed in available sources.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels4 records

Core offering

FieldDay is a mobile (iOS) application that lets anyone create custom vision AI without code. Users collect and annotate image datasets on their phone, train models iteratively through on-device training, test predictions in real time, and export trained models for integration with other tools. A HomeKit integration extends models into smart-home control by surfacing relevant device controls based on visual recognition.

Product overview

FieldDay is a single mobile application product that enables anyone to create custom vision AI without code. The platform consists of the FieldDay app for creating, training, and exporting custom vision classifiers, along with the related Anonymous Camera app for privacy-conscious image capture. Users collect image datasets based on their expertise, train models through iterative feedback directly on their iPhone, test predictions in real-time, and export trained models for integration with external tools or workflows. The technology supports use cases ranging from material identification (British street furniture) to retail applications and smart home control through HomeKit integration.

Differentiator

Problem solved

Functional benefit

Products and services

• FieldDay A mobile (iOS) app that lets anyone create custom vision AI without coding. Users collect and annotate image datasets on their iPhone, train models through iterative on-device training, test predictions in real time within the camera view, and export trained models for integration with other tools or workflows. Includes a HomeKit integration that uses trained classifiers as triggers for smart-home IoT control.
• Anonymous Camera A privacy-focused camera application available on the App Store, developed by the same company (New Material) that produces FieldDay.

Segments1 record

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability2 records

Feature5 records

Partnerships

One partnership is on record.

• Apple (HomeKit)coreTechnology or Integration · 1 January 2023FieldDay integrates with Apple HomeKit, using trained vision classifiers as triggers to recognize objects or spaces and surface relevant smart home controls directly in the camera view. This enables users to control lights, speakers, or other smart devices by simply pointing the camera at them, turning vision models into a lightweight interface for IoT systems.

Scale indicators1 record

Recent moves4 records

Expansion highlights4 records

Broad incumbents

• Clarifai: Enterprise computer vision AI platform with custom model training, image recognition, and visual search. Broader incumbent in the CV tooling space that overlaps with FieldDay's custom classifier use cases.
• Apple Create ML: Apple's first-party no-code ML training app for macOS, tightly integrated with Core ML for on-device iOS deployment. Competes with FieldDay on the same on-device CV use cases, with deep platform advantages: free, official, and bundled with the Apple developer ecosystem.

Emerging players

• Edge Impulse: Edge AI platform for embedded devices with no-code model training and deployment to microcontrollers and edge hardware. Comparable to FieldDay's on-device philosophy but focuses on industrial/IoT edge rather than mobile.
• Fritz AI: Mobile-focused ML platform for iOS and Android that helps developers build, train, and deploy on-device models. Direct adjacency to FieldDay's mobile-first on-device vision AI paradigm.
• Runway ML: No-code AI creative tooling platform offering model training and generative AI workflows with a strong consumer/creative-pro user base. Comparable to FieldDay's no-code AI authoring ethos, though oriented to creative content vs. real-world object recognition.

Direct peers

• Roboflow: End-to-end computer vision platform for dataset management, training, and deployment. Targets developers and enterprises building CV applications, overlapping with FieldDay's vision AI authoring workflow though more code-heavy.
• Lobe (by Microsoft): Microsoft-acquired no-code ML training tool with a similar visual, drag-and-drop authoring experience for image classification. Direct no-code vision AI peer, now integrated into Microsoft's broader AI tooling surface.
• Google Teachable Machine: Google's free, browser-based no-code tool for training image, sound, and pose classifiers. Closest direct competitor to FieldDay, offering the same 'train a custom vision model without ML expertise' value proposition, though currently web/cloud-based rather than fully on-device mobile.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks5 records

Key highlights5 records

Customer concentration

• Xx.com/fieldday_ai
• LinkedInlinkedin.com/company/fielddayai

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds1 record

Investors

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

M&A

Investments

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

Frequently asked questions about FieldDay