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Data quality: Editorially Reviewed
Language (LLM / NLP)
Financial services
Data engineering & preparation
AI strategy & roadmap consulting
Managed AI operations
Workflow orchestration
Implementation Partners
Implementation & integration
Analytics & decision support
Predictive / classical ML
Knowledge & search
Healthcare & life sciences
ML lifecycle & data
Manufacturing
Snowflake
Managed service (recurring)
Amazon Web Services
Data strategy & engineering
Retail & e-commerce
Agentic / autonomous
Enterprise
Fixed-price project

phData

Data engineering & preparation

Offered by phData

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Overview

phData, founded in 2014 and based in Minneapolis, delivers AI and machine learning, generative AI, data engineering, data migrations, analytics, elastic operations and advisory services using its phData Forge delivery methodology. Its 3-2-1 GO offer is a fixed-fee four-week sprint that evaluates three use cases, designs two proofs of concept and deploys one MVP. It lists Anthropic as a preferred partner and holds Snowflake, AWS and dbt partner distinctions. Target sectors are healthcare and life sciences, financial services, manufacturing, and retail and CPG, with flagship offices in Uruguay and India.

Pricing model
On request
Regions served
North America, Latin America, Asia
Categories
Language (LLM / NLP), Financial services, Data engineering & preparation, AI strategy & roadmap consulting, Managed AI operations, Workflow orchestration, Implementation Partners, Implementation & integration, Analytics & decision support, Predictive / classical ML, Knowledge & search, Healthcare & life sciences, ML lifecycle & data, Manufacturing, Snowflake, Managed service (recurring), Amazon Web Services, Data strategy & engineering, Retail & e-commerce, Agentic / autonomous, Enterprise, Fixed-price project
Last updated
7 October 2026
Published
7 October 2026

Use cases

ML lifecycle & data
Analytics & decision support
Workflow orchestration
Knowledge & search

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
phdata.io
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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