FieldBox.ai
FieldBox.ai is a Bordeaux-based industrial AI services firm founded in 2011 that designs, deploys and operates custom machine learning, computer vision and LLM solutions for enterprise clients in energy, manufacturing, smart cities, transportation and hydrogen, delivering through a direct enterprise sales motion with no public pricing.
- Company typePrivate
- Founded2011
- HeadquartersBordeaux, France
- Headcount51–100
- GTM typeB2B
- OfferingServices
What FieldBox.ai does
FieldBox.ai (legal entity IDMOG SAS) is a Bordeaux-headquartered industrial AI services firm founded in 2011 by Antoine Trihoreau, Aymeric Préveral-Etcheverry and Peter von Campe. The company designs, builds, deploys and operates custom AI solutions for industrial operators across energy and mining, manufacturing, smart cities, transportation and logistics, with a secondary bet on hydrogen. Its core technology is an integrated Digital, Data & AI platform supporting Edge, Cloud (Azure, AWS, GCP, OVH) and Hybrid architectures, combining data engineering, applied machine learning, computer vision, generative AI / RAG and operational software on open-source foundations. Fieldbox owns no foundation models; its differentiator is full-lifecycle deployment expertise and IP transfer to clients rather than point software.
The company's commercial offering is structured around a four-stage engagement model — Explore & Frame, Design & Develop, Deploy & Adopt, Run & Measure — covering roadmap framing, proof-of-value, proof-of-scale, industrialisation and 24/7 managed services. Revenue is generated primarily through professional services engagements and recurring managed services (DevOps, MLOps) under SLAs across five continents. Distribution is exclusively direct enterprise sales, with prospects entering via a 'Book a meeting' intake; there is no self-serve, marketplace or reseller channel. Pricing is not publicly disclosed and is negotiated per engagement.
Fieldbox serves a blue-chip enterprise roster including TotalEnergies, Groupe ADP (Roissy CDG), SNCF Gares & Connexions, Suez, Richemont, Alperia, Egis, Cdiscount, Hummink and SBM Offshore, with deployments on 150+ industrial sites. The company has offices in Bordeaux, Paris and Singapore, holds ISO 27001 certification and has been selected for the BPIFrance AI Booster panel under France 2030. The company is privately held with no disclosed external funding rounds, suggesting a bootstrapped, founder-led operating model.
FieldBox.ai firmographics
Firmographics- Name
- FieldBox.ai
- Legal name
- IDMOG
- Website
- https://fieldbox.ai
- Company type
- Private
- Founded year
- 2011
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- FieldBox.ai is a Bordeaux-based industrial AI services firm founded in 2011 that designs, deploys and operates custom machine learning, computer vision and LLM solutions for enterprise clients in energy, manufacturing, smart cities, transportation and hydrogen, delivering through a direct enterprise sales motion with no public pricing.
- Ownership category
- akta.pro rank
FieldBox.ai industry classification
Industry- Product category
- Industrial AI Consulting and Deployment Services
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
- akta.pro secondary industries
- Cloud Data Platforms & Analytics Migration (BPAEACAI), Workforce Mobility & Field Service Enablement (Mobile GIS, Work Mgmt, Dispatch) (EUAEANAK)
Keywords
Where FieldBox.ai is headquartered
LocationHeadquarters
- HQ city
- Bordeaux
- HQ country
- France
- HQ region
- Europe
Offices3 records
Markets served
FieldBox.ai business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Professional AI & Data Services: Fieldbox designs, builds, deploys, and operates custom AI and digital solutions for industrial clients. Revenue is generated through professional services engagements including project framing, proof-of-value development, proof-of-scale, industrialization, and full-scale digital transformation partnerships. The engagement model spans multi-year strategic partnerships as well as discrete project-based work.
- Managed Services / MLOps Support: Fieldbox provides 24/7 DevOps and MLOps support across five continents, covering IT, data infrastructure, ModelOps, data science, and application support under comprehensive SLAs. This represents an ongoing managed services revenue stream.
Go-to-market motion1 record
Distribution channels1 record
Marketing channels8 records
FieldBox.ai product offering
Product offeringCore offering
Fieldbox is a Digital, Data, and AI Scale-up Partner that designs, builds, deploys, and operates custom AI-powered software solutions for industrial enterprise clients. The core offering combines professional services (project framing, proof-of-value, proof-of-scale, industrialization, and full-scale digital transformation) with 24/7 managed DevOps and MLOps support under SLAs, delivered across Edge, Cloud, and Hybrid architectures. Fieldbox retains a proprietary platform and reuses domain expertise across energy, mining, manufacturing, smart cities, transportation, and hydrogen verticals.
Product overview
Fieldbox is a Digital, Data & AI Scale-up Partner offering a comprehensive portfolio of AI-powered operational solutions. The offering combines a platform of industry-specific and use-case-specific solutions (Supply Chain Optimization, Flow Optimization, Production Optimization, Process Control, Quality Control, Predictive Maintenance, Energy Management, Safety & Risk Detection) with professional services including project framing, proof of value, proof of scale, industrialization, and full-scale digital transformation. The company provides end-to-end services from design & build (custom applications, data storage, AI models, APIs) through deployment & operation (24/7 DevOps, MLOps, guaranteed SLAs) across five continents. Specialized solutions include pump failure prediction, escalator maintenance optimization, baggage load prediction, penstock safety monitoring, industrial nanoprinting software, secure remote development environments, Infrastructure as Code deployment, scalable cloud infrastructure, AI-powered contract comparison, and automated requirement extraction.
Differentiator
Problem solved
Functional benefit
Products and services
- Data and AI Services End-to-end professional services covering the full digital lifecycle from project framing and proof-of-value through industrialization and 24/7 managed operations, with design and build of custom applications, AI models, data infrastructure, and APIs for enterprise industrial clients.
- AI Solutions for Energy and Mining Industry-specific AI solution package for capital-intensive energy and mining operators with long production cycles, heavy equipment reliance, extreme hazard conditions, and geographically remote operations, addressing unplanned downtime, remote operations costs, safety risks, environmental compliance, and yield variability.
- AI Solutions for Manufacturing Industry-specific AI solution package for manufacturers reliant on precision equipment and multi-step processes with little margin for error, addressing batch and process variability, quality control errors, regulatory compliance, supply chain disruptions, and carbon footprint reduction.
- AI Solutions for Smart Cities Industry-specific AI solution package for utilities, municipal infrastructure, and urban resource management including smart grids, water systems, waste disposal, and construction, addressing urbanization pressure, resource inefficiency, environmental impact measurement, and remote monitoring of distributed assets.
- AI Solutions for Transportation and Logistics Industry-specific AI solution package for transportation and logistics operators with complex multi-level subcontractor value chains and increasing data volumes, addressing complex value chain management, demand volatility, labor shortfalls, resilience, visibility, and predictability challenges.
- AI Solutions for Hydrogen Vertical AI solution package for the hydrogen industry covering real-time data analytics for process monitoring, machine learning for fuel cell performance prediction, computer vision for safety monitoring, and predictive analytics for regulatory compliance across production, storage, transportation, and utilization.
- Supply Chain Optimization Use-case AI solution that provides machine learning-driven recommendations for optimal minimum and maximum inventory levels of raw materials, intermediate products, and finished goods across global industrial supply chains, reducing working capital tied up in excess stock.
- Asset Flow Optimization Use-case AI solution that optimizes transportation, fixed and mobile industrial assets through predictive analytics and machine learning, incorporating weather conditions, traffic flow, and demand patterns for route optimization, demand forecasting, and mobile asset positioning.
- Production Optimization Use-case AI solution that analyzes historical data and present variables to optimize processes, machine settings, throughput, efficiency, costs, and TAKT time for industrial production environments, including what-if planning simulations.
- Process Control Use-case AI solution that processes real-time data, identifies patterns, and delivers AI-driven recommendations to augment operator capabilities in manufacturing process optimization.
- Quality Control Use-case AI solution combining computer vision and machine learning to perform automated quality control inspections on production lines, identifying defects on a unit-by-unit basis with image-based AI tools for failsafe product control.
- Predictive Maintenance Use-case AI solution that analyzes machine usage, settings, operating conditions, and equipment-generated feedback to identify potential issues, predict breakdowns, and schedule preventive maintenance across multiple facilities.
- Energy Management Use-case AI solution that delivers deeper insights into industrial energy usage, predicts consumption patterns, and implements strategies to optimize energy use, reduce costs, and lower carbon emissions.
- Safety and Risk Detection Use-case AI solution that analyzes historical data across multiple sites to identify trends and patterns that may not be apparent, predicting high-risk scenarios for accident prevention and targeted preventive safety measures.
Quantifiable outcome
- 95% pump failure prediction accuracy for TotalEnergies ESPs
- +3 more outcomes
Companies that use FieldBox.ai
Customer profileNamed customers10 records
Segments5 records
Ideal customer profiles5 records
FieldBox.ai technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability20 records
Feature10 records
FieldBox.ai partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- BPIFrancecoreFieldbox was selected by BPIFrance to join the panel of specialists for the AI Booster program within France 2030 initiative. This partnership allows Fieldbox to offer subsidized AI and digital transformation consulting services to PME and ETI industrial clients in France, with up to 80% of Fieldbox's expert service costs covered by BPIFrance for eligible companies.
Scale indicators4 records
Recent moves8 records
Expansion highlights6 records
FieldBox.ai competitors and assessment
Company assessmentDirect peers
- C3.ai: C3.ai is a direct competitor in enterprise AI applications for industrial verticals (oil & gas, manufacturing, energy), offering pre-built AI applications and a model-driven platform for predictive maintenance, production optimization, and similar use cases that overlap closely with Fieldbox's portfolio.
- Uptake Technologies: Uptake is a direct peer providing AI-powered predictive maintenance, asset performance management, and industrial analytics for sectors like energy, rail, and heavy equipment, mirroring Fieldbox's predictive maintenance and asset flow optimization offerings.
- Spark Cognition: Spark Cognition delivers AI solutions for asset-intensive industries including energy, manufacturing, and transportation, with overlapping capabilities in predictive maintenance, anomaly detection, and industrial computer vision that closely match Fieldbox's solution set.
- Sight Machine: Sight Machine provides AI/ML analytics specifically for discrete and process manufacturing (quality, production optimization, yield) — directly overlapping with Fieldbox's manufacturing vertical use cases such as quality control and production optimization.
- Braincube: Braincube offers an Industrial AI platform for manufacturing data analytics, production optimization, and predictive maintenance — a focused direct peer in Fieldbox's manufacturing and process optimization use cases, particularly for mid-market industrial clients.
Broad incumbents
- Palantir Technologies: Palantir Foundry and AIP serve as a broad enterprise AI/data platform for industrial and government clients, providing overlapping capabilities in operational AI deployment, supply chain optimization, and decision intelligence, but at much larger scale and broader scope than Fieldbox.
- Capgemini Engineering: Capgemini Engineering (formerly Altran) is a broad incumbent offering industrial digital transformation, IoT, and AI engineering services to large industrial clients across Europe — directly competitive with Fieldbox's enterprise services and notably where COO Danielle Yacoub previously worked.
- Accenture Industry X: Accenture Industry X delivers digital engineering, manufacturing, and asset-intensive industry services with embedded AI/ML capabilities. It competes with Fieldbox for large enterprise transformation mandates and offers comparable scale of delivery across geographies.
Emerging players
- Databricks: Databricks provides the data lakehouse and ML platform layer on which many industrial AI workloads are built; Fieldbox often integrates with Databricks via Azure/AWS, and Databricks' industry solutions partially overlap with Fieldbox's data platform services.
- Element AI (ServiceNow): Element AI was an applied AI services and product company comparable to Fieldbox in combining AI research with industry solutions; its acquisition by ServiceNow places its capabilities within a broader platform context, partly competitive and partly complementary to Fieldbox's services model.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
FieldBox.ai social profiles
Digital presenceFieldBox.ai compliance and trust
Trust signalCompliance2 records
FieldBox.ai financial estimates
Financial estimateRevenue estimate
Valuation estimate
FieldBox.ai leadership team
Management profileNumber of profiles
Profiles4 records
FieldBox.ai funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
FieldBox.ai 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 FieldBox.ai
What does FieldBox.ai do?
Fieldbox is a Digital, Data, and AI Scale-up Partner that designs, builds, deploys, and operates custom AI-powered software solutions for industrial enterprise clients. The core offering combines professional services (project framing, proof-of-value, proof-of-scale, industrialization, and full-scale digital transformation) with 24/7 managed DevOps and MLOps support under SLAs, delivered across Edge, Cloud, and Hybrid architectures. Fieldbox retains a proprietary platform and reuses domain expertise across energy, mining, manufacturing, smart cities, transportation, and hydrogen verticals.
Is FieldBox.ai a public or private company?
FieldBox.ai is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was FieldBox.ai founded?
FieldBox.ai was founded in 2011. It employs 51 to 100 people.
Where is FieldBox.ai based?
FieldBox.ai is headquartered in Bordeaux, France, in the Europe region.
How does FieldBox.ai make money?
Two revenue lines are on record. Professional AI & Data Services are the primary driver. The others are managed Services / MLOps Support.
Who are FieldBox.ai's main competitors?
Direct peers on record are C3.ai, Uptake Technologies, Spark Cognition, Sight Machine and Braincube. Broad incumbents are Palantir Technologies, Capgemini Engineering and Accenture Industry X. Emerging players are Databricks and Element AI (ServiceNow).
Does FieldBox.ai have an API?
No public API is recorded for FieldBox.ai.
What industry is FieldBox.ai in?
FieldBox.ai's product category is Industrial AI Consulting and Deployment Services. Its primary akta.pro industry code is BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM), with a secondary code of BPAEACAI, Cloud Data Platforms & Analytics Migration. Its NAICS code is 54151 and its SIC code is 7370.