Data & AI Platforms Services in Atlanta | IoTree Minds

Enterprise AI, from strategy to production

Atlanta, GA · Data & AI Platforms

Data & AI Platforms for Atlanta businesses

Data platforms and ML for Atlanta companies, from fraud and authorisation data to freight networks and health programmes, with governance built in.

Data & AI Platforms in Atlanta

Data at transaction scale

Atlanta processes a large share of the country's card payments, moves freight through one of the world's busiest airports and a major logistics network, and is home to public health institutions and a big film and media industry. AI here runs on sensitive, high-volume data.

Where it fits

Where Atlanta teams use it

Payments and fintech

Fraud detection models

Catch fraud without blocking good customers.

  1. 1Builds real-time features
  2. 2Scores transactions
  3. 3Monitors model drift
Logistics and air cargo

Network volume forecasting

Plan capacity across hubs and lanes.

  1. 1Combines booking and flight data
  2. 2Forecasts volume
  3. 3Feeds planning tools
Healthcare and public health

Programme data platform

Clean, shared data for programme reporting.

  1. 1Standardises data sources
  2. 2Automates reporting
  3. 3Applies access controls

Built for Georgia rules

Regulations we design around

Anyone storing or processing card data

PCI DSS

Card data kept out of AI prompts and logs, with tight access control.

Banks, lenders, fintechs

GLBA Safeguards

A written security program covering every system that handles customer financial data.

Healthcare providers, plans and their vendors

HIPAA

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

Anyone holding Georgia residents' data

Georgia breach law

Security safeguards and prompt notice if personal data leaks.

Working together · Eastern Time

Working with us from Atlanta

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 Atlanta teams

Ask us something else
Can the platform handle real-time transaction data?

Yes. We build streaming pipelines for high-volume data, with tokenisation so card data stays out of analytics.

How do you document models for auditors?

Data versions, training runs and performance results are recorded automatically and kept with each model version.

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.