Bloomfield
- Company typePrivate
- Founded2026
- HeadquartersNew York, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Bloomfield firmographics
Firmographics- Name
- Bloomfield
- Legal name
- Bloomfield
- Website
- https://getbloomfield.com
- Company type
- Private
- Founded year
- 2026
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
Bloomfield industry classification
Industry- Product category
- Manufacturing AI Software
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design Services (541512), Computer Systems Design and Related Services (54151), Other Computer Related Services (541519)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)
- akta.pro secondary industries
- AI/ML Engineering & Model Development Services (BPAEAHAF), End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)
Keywords
Where Bloomfield is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Bloomfield business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Advisory & Strategy Engagements: Fixed-fee AI readiness assessments and workflow audits delivered in 2 to 4 weeks. Includes AI readiness assessment across workflows, workflow audit and bottleneck identification, data landscape review, and prioritized roadmap with build recommendations. Fixed project fee scoped before engagement begins.
- Custom Build Software Development: End-to-end development of custom AI-powered software integrated with existing ERP and operational systems. Priced by phase with defined deliverables at each milestone. First phase typically ships in 6 to 8 weeks. Ongoing iteration, support, and refinement services. The blog content references implementation costs of $75,000 to $200,000 for initial builds and $2,000 to $6,000 per month for ongoing maintenance, though these are not official price lists.
- Ongoing Support and Refinement: Monthly support, system maintenance, model refinement, and expansion of connectivity to additional equipment. Most clients expand scope after first phase as the system reveals operational patterns.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| One time/ perpetual license | Multi-year contract | Knowledge Management System - Initial Build |
| Subscription | Monthly | Knowledge Management System - Ongoing Maintenance |
| One time/ perpetual license | Multi-year contract | Production Visibility System - Initial Build |
| Subscription | Monthly | Production Visibility System - Ongoing Maintenance |
| One time/ perpetual license | Multi-year contract | AI Quoting System - Initial Build |
| Subscription | Monthly | AI Quoting System - Ongoing Maintenance |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels5 records
Bloomfield product offering
Product offeringCore offering
Bloomfield builds custom AI software for manufacturers, integrating with existing ERP systems (JobBOSS, Epicor, ProShop, Global Shop Solutions) and machine controllers to deliver four core solutions: Quoting Tools (AI-powered RFQ processing), Knowledge Engine (RAG-based tribal knowledge preservation), Production Pulse (real-time delivery risk visibility), and Equipment Intelligence (machine utilization and predictive maintenance). The company delivers two engagement tracks: Advisory & Strategy (2-4 week fixed-fee AI readiness assessments) and Custom Build (end-to-end bespoke AI software development with phased delivery starting at 6-8 weeks).
Product overview
Bloomfield is a custom AI software company offering four integrated core products designed to solve specific operational bottlenecks in manufacturing operations. The portfolio includes: Quoting Tools (AI-powered RFQ processing that connects ERP job history to compress quoting from days to hours), Knowledge Engine (RAG-based knowledge retrieval system that preserves tribal knowledge from retiring workers), Production Pulse (real-time production visibility dashboard connecting ERP, scheduling, and floor data to predict delivery risk), and Equipment Intelligence (machine utilization and maintenance pattern analytics via MTConnect/OPC-UA). The company engages through two service tracks: Advisory & Strategy (2–4 week AI readiness assessment) and Custom Build (end-to-end software development with phased delivery starting at 6–8 weeks per phase). All products are built custom around each customer's specific data, workflows, and ERP systems rather than sold as configurable platforms.
Differentiator
Problem solved
Functional benefit
Products and services
- Quoting Tools AI-powered quoting system that indexes historical job data and surfaces comparable past jobs, material pricing trends, customer history, and risk flags for every incoming RFQ. Compresses quote turnaround from days to hours and improves win rates through faster, more accurate responses. For precision machining manufacturers who quote complex multi-operation parts.
- Knowledge Engine Searchable AI knowledge system based on retrieval-augmented generation (RAG) that ingests operational documents, job records, operator notes, and recorded expertise to preserve institutional knowledge from retiring workers. Makes it queryable in plain English across the entire shop floor with source citations. Handles text, audio, structured data, and image inputs. For aerospace, defense, and other manufacturers facing knowledge loss from workforce transition.
- Production Pulse Real-time production visibility dashboard that connects ERP, scheduling, and shop floor data into a unified view of every active job's status, progress, and delivery risk. Predicts late shipments before they happen using AI risk prediction engine and ranks recovery actions by customer impact. Risk prediction accuracy improves from 65-70% initially to 85-90% within 6 months. For manufacturers facing on-time delivery challenges.
- Equipment Intelligence Machine monitoring and analytics system that captures utilization rates, cycle times, idle hours, and maintenance patterns from CNC equipment via MTConnect or OPC-UA protocols. Reveals hidden capacity and predictive maintenance signals including spindle power draw anomalies and vibration signature drift. For CNC machining operations seeking to understand and improve machine utilization.
- Advisory & Strategy (Track A) AI readiness assessment and workflow audit engagement covering AI readiness across workflows, bottleneck identification, data landscape review, and a prioritized roadmap with build recommendations. Delivered in 2 to 4 weeks at a fixed fee. For manufacturers seeking an honest assessment of where AI creates value in their operation.
- Custom Build (Track B) End-to-end custom AI software development engagement handling data structuring through deployment, with phased delivery, ERP and system integration, and ongoing iteration and support. First phase typically ships in 6 to 8 weeks. For manufacturers ready to build the AI tool that removes their identified bottleneck.
Quantifiable outcome
- Manufacturers responding to RFQs within two days win 35% of bids vs. 12% for those taking five or more days
- +8 more outcomes
Companies that use Bloomfield
Customer profileSegments6 records
Ideal customer profiles1 record
Bloomfield technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability10 records
Feature6 records
Bloomfield partnerships and signals
Strategic signalScale indicators3 records
Recent moves5 records
Expansion highlights4 records
Bloomfield competitors and assessment
Company assessmentDirect peers
- MachineMetrics: An industrial analytics platform that connects to CNC machines via MTConnect and OPC-UA to surface utilization, OEE, and predictive maintenance insights. Directly overlaps with Bloomfield's Equipment Intelligence product and shares the same target customer (CNC job shops) and integration approach.
- Oden Technologies: A manufacturing analytics platform that pulls machine and production data to offer real-time visibility, quality monitoring, and AI-driven recommendations. Direct overlap with Bloomfield's Production Pulse and Equipment Intelligence offerings, especially for mid-market manufacturers.
- Braincube: An Industrial AI platform that connects plant data to deliver predictive analytics, production optimization, and knowledge management for manufacturers. Overlaps with Bloomfield's Production Pulse, predictive analytics, and knowledge/engine capabilities.
- Sight Machine: An AI/analytics platform purpose-built for manufacturing that integrates plant data (ERP, MES, machine) to deliver production visibility, quality, and yield optimization. Competes head-to-head with Bloomfield's Production Pulse and broader factory analytics positioning.
- Augury: An AI-based machine health and process optimization platform that uses vibration and process sensors to predict failures and optimize production. Directly competes with Bloomfield's Equipment Intelligence predictive maintenance functionality and shares a manufacturing-AI thesis.
- Tulip Interfaces: A frontline operations platform for manufacturers that combines low-code app-building, IoT data capture, and analytics on the shop floor. Tulip directly competes with Bloomfield's manufacturing-app + machine-data integration play, particularly for production visibility and knowledge capture use cases.
Emerging players
- Fero Labs: An AI platform for process manufacturing that combines first-principles modeling with machine learning to optimize yield and quality. Competes with Bloomfield's predictive analytics capabilities in process-heavy manufacturing verticals.
- Instrumental: An AI platform for manufacturing that combines automated defect detection with real-time production data for electronics and discrete manufacturers. Adjacent overlap with Bloomfield's quality and production visibility use cases, with a narrower focus on defect detection.
Broad incumbents
- Epicor: A major ERP vendor for manufacturing and distribution with Kinetic, Vantage, and Plex systems. Epicor is a critical integration partner for Bloomfield (JobBOSS, Epicor, Plex) and a broad incumbent that could ship AI-driven quoting, knowledge, and visibility features natively.
- Plex (by Rockwell Automation): A cloud-native MES/ERP platform for manufacturers that integrates production, quality, and supply chain data. Plex is both an integration partner for Bloomfield and a broader incumbent that could bundle AI-powered production visibility into its core platform.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Bloomfield financial estimates
Financial estimateRevenue estimate
Valuation estimate
Bloomfield leadership team
Management profileNumber of profiles
Profiles1 record
Bloomfield funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Bloomfield 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 Bloomfield
What does Bloomfield do?
Bloomfield builds custom AI software for manufacturers, integrating with existing ERP systems (JobBOSS, Epicor, ProShop, Global Shop Solutions) and machine controllers to deliver four core solutions: Quoting Tools (AI-powered RFQ processing), Knowledge Engine (RAG-based tribal knowledge preservation), Production Pulse (real-time delivery risk visibility), and Equipment Intelligence (machine utilization and predictive maintenance). The company delivers two engagement tracks: Advisory & Strategy (2-4 week fixed-fee AI readiness assessments) and Custom Build (end-to-end bespoke AI software development with phased delivery starting at 6-8 weeks).
Is Bloomfield a public or private company?
Bloomfield is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Bloomfield founded?
Bloomfield was founded in 2026. It employs 1 to 10 people.
Where is Bloomfield based?
Bloomfield is headquartered in New York, United States, in the North America region.
How does Bloomfield make money?
Three revenue lines are on record. Advisory & Strategy Engagements are the primary driver. The others are custom Build Software Development and ongoing Support and Refinement.
Who are Bloomfield's main competitors?
Direct peers on record are MachineMetrics, Oden Technologies, Braincube, Sight Machine, Augury and Tulip Interfaces. Emerging players are Fero Labs and Instrumental. Broad incumbents are Epicor and Plex (by Rockwell Automation).
Does Bloomfield have an API?
No public API is recorded for Bloomfield.
What industry is Bloomfield in?
Bloomfield's product category is Manufacturing AI Software. Its primary akta.pro industry code is HDAEANAI, AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI), with a secondary code of BPAEAHAF, AI/ML Engineering & Model Development Services. Its NAICS code is 541511 and its SIC code is 7371.