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phData

Name: phData
Address: 400 S 4th Street #401, Minneapolis, MN, 55415, US
Telephone: (612) 213-2335

phData is an AI and data services leader that builds intelligent systems for enterprises ready to turn AI ambition into working business advantage.

10/30/2026

The scariest AI project is the one that stalls after the demo. 👻

Our 3-2-1 GO approach is built to get past the pilot graveyard: 3 refined use cases, 2 functional prototypes, 1 MVP in production, all in one 4-week sprint. Prototypes are built in 1-2 days, so leadership sees working software before committing to production.

Here’s one example of phData’s work putting AI into practice. We built an AI-powered framework to extract and classify data from complex piping and instrumentation diagrams (P&IDs), replacing hours of manual review. Service offering cost dropped 25%.

Happy Halloween. No tricks here, just results.

See how we put AI in production: https://www.phdata.io/solutions/ai-in-production/

10/29/2026

We spent race weekend at the Formula 1 United States Grand Prix in Austin with customers and partners, and the lesson was clear. Fast cars win when a skilled team follows a well-defined plan and executes it precisely.

Our approach to data and AI at phData is the same. We start with the business problem, build toward a measurable outcome, and keep the focus on what makes a difference. Speed pays off when it’s aimed at the right target.

Thank you to our partners at Snowflake Inc., Amazon Web Services, and Sigma Computing, and to the customers who joined us in Austin. We’re grateful for the collaboration and the chance to share race weekend together!

10/29/2026

This week, we announced we’re adding 300+ data and AI experts to the phData team.

phData builds the data foundations that AI depends on, including data engineering, migrations, analytics, and AI applications that run in production for enterprise customers.

We’re looking for engineers, architects, advisory consultants, business analysts, and problem-solvers who want to grow fast in their careers and have built data platforms, pipelines, or AI applications.

Do you want to be part of this new chapter with , Anthropic, and Gryphon Investors?

Apply here: https://www.phdata.io/jobs/

10/28/2026

phData is a Preferred Partner in the Claude Partner Network, backed by new funding from an existing investor, Gryphon Investors, with participation from Anthropic. We’re adding 300+ data and AI experts to expand AI-ready data services for Claude.

When an AI agent takes an action, the outcome has to be correct. phData builds the AI-ready data foundation and semantic layer that gives Claude the enterprise context it needs, so you get trusted answers and reliable agents, and your AI investment pays off.

Read the full announcement: https://www.phdata.io/blog/phdata-claude-partner-network/

10/23/2026

We're proud to share that phData has earned the Agentic AI Consulting Services category of the AWS AI Competency!

This recognition reflects what it takes to put agentic AI to work. We build for security and scale, design AI responsibly from the start, and deliver results in production for enterprise customers on AWS.

Thank you to our customers and to our Amazon Web Services partners for the trust they place in us, and to our delivery teams who turn agentic AI ambition into business value.

Taking agentic AI from prototype to production on AWS? Let's talk: https://www.phdata.io/partners/aws/

10/21/2026

Unstructured document processing usually requires complex extraction models, tedious schema mapping, and messy manual pipelines.

In our latest walk-through, we demonstrate how to leverage a domain-agnostic Snowflake Inc. Cortex skill to ingest OCR files, like clinical PDFs and docs, model them automatically, and query them using natural language.

Key highlights from the demo:

1. Automated Scaffolding: End-to-end repository creation, privilege checks, and Python notebooks generated on the fly.

2. Dynamic Schema Discovery: Automatic schema inference across varied document layouts.

3. Self-Learning Feedback Loop: User corrections in the built-in Streamlit app automatically generate new prompt rules to improve model extraction over time.

4. Cortex Search & Q&A: Ask plain-English questions to query structured outputs or chat directly with your document repository.

Watch Kaulab Basu, phData's Solutions Architect, full demo to see the architecture and workflow in action: https://www.youtube.com/watch?v=JaOqKLvZU-c

10/16/2026

Giving everyone access to Claude takes an afternoon. Keeping spending, access, and information in check takes a plan.

Power Digital Marketing is rolling out across a growing user base. We ran a 51-control review covering SSO, Okta groups, spend-tier roles, model governance, connector restrictions, and Cowork and Code access.

What they got:
- 15 governance decisions documented for their owners.
- Users are grouped into tiers, so higher capabilities and spend limits follow completed training.
- Claude spent charges back to individual departments.
- 6 deliverables, including a Streamlit app for usage attribution.

Governance is 1 of 4 workstreams in how we activate Claude for enterprise teams. It’s the one that keeps the other 3 sound as usage grows.

Read the full case study: https://www.phdata.io/case-studies/power-digital-claude-enterprise-governance-review/

10/15/2026

At phData, we use Slack to help build community. Our channels connect people across interests, humor, and sometimes just pure randomness:

📚 -books
☕ -coffee-snobz
😂 -jokes
🎬 -movies-and-tv
🐶 -pet-pictures (arguably our busiest channel, social or otherwise)
👋 -michael-mike (yes, a channel for everyone here named Michael or Mike)

Bringing people together takes steady effort. We're always on the lookout for people who want to be part of our team of Mikes and pet lovers (disclaimer: we also hire people without pets and not named Mike).

Join our community: https://www.phdata.io/careers/

10/14/2026

Ryan Leonard, a Senior Applied AI Solutions Architect at phData, just earned his Amazon Web Services Golden Jacket, with certifications across the Foundational, Associate, Professional, and Specialty tracks.

Ryan's work on responsible AI controls for autonomous agents on AWS rests on two ideas: build controls around risk from day one, and set clear limits on what an agent can do.

Controls like these separate an agentic AI demo from one a client can trust in a production workflow.

Congrats, Ryan. Well earned!

Learn more about phData on the AWS Partner Network: https://www.phdata.io/partners/aws/

10/13/2026

Token usage tells you what AI costs. It doesn’t tell you what it’s worth.

Developers spend only about 11% of their week writing code. The rest is meetings, design, testing, and thinking. Faster code alone can’t be the whole story.

To see AI’s impact on engineering, measure four things:
- Speed
- Developer effectiveness
- Software quality
- Business impact

Not sure how to start tracking them? Daniel Pierce, phData’s principal software engineer, walks you through it: https://www.phdata.io/blog/engineering-productivity-ai-impact/

Address

400 S 4th Street #401
Minneapolis, MN
55415

Opening Hours

Monday	8am - 5pm
Tuesday	8am - 5pm
Wednesday	8am - 5pm
Thursday	8am - 5pm
Friday	8am - 5pm

Telephone

(612) 213-2335

Website

https://www.phdata.io/

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