Data & AI Platforms Services in Raleigh | IoTree Minds

Enterprise AI, from strategy to production

Raleigh, NC · Data & AI Platforms

Data & AI Platforms for Raleigh businesses

Data platforms and ML for Triangle organisations, from trial and batch data to field trials, with lineage and validation built in.

Data & AI Platforms in Raleigh

Data from trials, plants and fields

The Research Triangle links Raleigh, Durham and Chapel Hill: major universities, contract research and pharma manufacturing, established software companies and a strong agtech sector. It is a place where research data and regulated manufacturing meet.

Where it fits

Where Raleigh teams use it

Agtech

Field trial data platform

Trial, weather and genomics data in one place.

  1. 1Unifies trial data
  2. 2Standardises measurements
  3. 3Serves analysis teams
Pharma and biomanufacturing

Batch analytics

Find process variation across batches.

  1. 1Unifies batch records
  2. 2Flags variation
  3. 3Keeps full lineage

Built for North Carolina rules

Regulations we design around

FDA-regulated life sciences

21 CFR Part 11

Validated systems, audit trails and e-signatures for regulated records.

Healthcare providers, plans and their vendors

HIPAA

Safeguards and a business associate agreement for anything touching patient data.

Schools and universities

FERPA

Student records only shared with AI tools under the right agreements.

Anyone holding North Carolina residents' data

North Carolina breach law

Security safeguards and prompt notice if personal data leaks.

Working together · Eastern Time

Working with us from Raleigh

Your morning is our evening, so we meet live at the start of your day and build while you sleep.

  1. 8–10 AM ET Live call Review progress and make decisions together
  2. Your working day Your feedback Your team tests and comments in writing
  3. Overnight ET We build Progress is ready for your next morning

How we work

From first conversation to production

  1. 1

    Audit

    We map your data sources, flows, owners and quality issues.

  2. 2

    Architect

    We design a platform that fits your cloud, scale and budget.

  3. 3

    Build

    We deliver pipelines, models and dashboards in working increments.

  4. 4

    Operate

    We set up monitoring, alerts and governance your team can run.

FAQ

Questions from Raleigh teams

Ask us something else
Can analyses be reproduced for regulators?

Yes. Data and code are versioned so any analysis can be rerun with the same inputs.

What is MLOps?

MLOps is the set of practices and tools for deploying, monitoring and updating machine learning models reliably, much as DevOps does for software. It keeps models accurate as data changes.

Which cloud platforms do you work with?

We work with the major cloud providers and with on-premise environments, and design the platform around the tools and contracts you already have.

Do we need a data platform before starting with AI?

Not always. We often build the data foundations a specific AI use case needs first, then extend the platform as more use cases follow.