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Bloomfield Tech Stack

AI-powered crop inspection and plant health assessment platform

Agriculture, Construction, Mining Machinery Manufacturing Pittsburgh, Pennsylvania 11–50 employees Founded 2019 Public Company

bloomfield.ai LinkedIn

Bloomfield applies computer vision and deep learning to automate crop inspection, replacing manual visual assessment with algorithmic consistency. The stack reveals a data-heavy operation: PyTorch + TensorFlow for model training, AWS infrastructure (SageMaker, Lambda, Redshift, Athena, Kinesis) for data pipelines, and active work on image processing models and production integration. The engineering-to-data ratio (6:2) and senior-heavy seniority mix suggest a mature ML-first organization focused on scaling inference and turning plant imagery into reliable data products.

Tech Stack 38 technologies

Core StackPyTorch TensorFlow MLflow SageMaker AWS Python C++ Java dbt AWS Lambda AWS Glue BigQuery Pandas Redshift Terraform Ansible Docker Go Kubernetes React PyTorch Lightning Mask R-CNN SQL AWS Step Functions Amazon Redshift AWS Athena Athena Kinesis AWS ECS NATS+8 more

What Bloomfield Is Building

◆Challenges

High-volume image processing
Scaling data pipelines
Estimating citrus weight
Turning plant imagery into reliable data products
Migrating scan processing to edge

▲Active Projects

Model retraining processes and algorithms
Image processing models for feature detection
Cloud-based automated data processing pipeline
Data and image processing pipelines
Deep learning model development for high resolution image data
Analytical modeling solutions at scale on cloud platform
Turning plant imagery into reliable data products
Integrating algorithms into production data pipeline
Citrus weight estimation ai product
Production data pipeline integration

Hiring Activity

Minimal8 roles · 0 in 30d

Department

Engineering

6

Data

2

Seniority

Senior

5

Mid

3

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About Bloomfield

Bloomfield automates crop health assessment using AI and deep learning, targeting the inspection bottleneck in agriculture. Manual crop inspection—the current industry standard—relies on trained inspectors to visually identify plant characteristics and anomalies with consistency challenges around time, labor availability, and accuracy. The company's platform captures crop imagery and applies deep learning models (built on PyTorch and TensorFlow) to detect and assess the same plant characteristics human inspectors evaluate. Active project work spans model retraining, image processing pipelines, citrus weight estimation, and cloud-based data automation. Founded in 2019 and based in Pittsburgh, the company is a public entity with 11–50 employees.

HeadquartersPittsburgh, Pennsylvania

Company Size11–50 employees

Founded2019

Hiring MarketsUnited States, France

Frequently Asked Questions

What machine learning framework does Bloomfield use?

Bloomfield builds models with PyTorch, PyTorch Lightning, and TensorFlow, supported by MLflow for tracking and SageMaker for production deployment.

What is Bloomfield's cloud infrastructure?

AWS is the primary cloud provider. The stack includes SageMaker (model hosting), Lambda (serverless compute), Redshift and Athena (analytics), Kinesis (streaming), and Glue (ETL).

What crops does Bloomfield assess?

Specialties include grapes and blueberries. Active work includes a citrus weight estimation AI product, indicating expansion into citrus crops.

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