Data & AI Platforms Services in New York | IoTree Minds

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New York, NY · Data & AI Platforms

Data & AI Platforms for New York businesses

Data platforms, predictive models and MLOps for New York companies, with the lineage, access control and monitoring that audit and risk teams ask for.

Talk to our team New York use cases

Data & AI Platforms in New York

Data your auditors and your models can trust

New York runs on regulated, document-heavy work: onboarding clients, pricing risk, handling claims and managing leases. It is where AI has the most work to do, and the highest bar for control.

Where it fits

Where New York teams use it

Insurance

Pricing and underwriting models

Models with the testing and records Circular Letter 7 asks for.

  1. 1Builds governed data pipelines
  2. 2Tests for bias and drift
  3. 3Documents every model version
Financial services

Fraud and AML data foundations

Cleaner data feeding fraud and AML monitoring.

  1. 1Unifies data from core systems
  2. 2Flags quality issues early
  3. 3Feeds models and case tools
Real estate

Portfolio and occupancy analytics

One live view of leases, occupancy and costs.

  1. 1Connects property systems
  2. 2Forecasts occupancy and cost
  3. 3Serves dashboards to asset managers

Built for New York rules

Regulations we design around

Banks, insurers, DFS-licensed firms

Part 500

Access controls, MFA and audit trails on every system AI touches.

Anyone holding New Yorkers' data

SHIELD Act

Reasonable safeguards for the private data AI systems read and write.

Insurers

Circular Letter 7

Governance, testing and fairness checks for AI in underwriting and pricing.

Healthcare providers, plans and their vendors

HIPAA

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

Working together · Eastern Time

Working with us from New York

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 New York teams

Ask us something else
Can you support model governance for New York insurers?

Yes. We build model inventories, fairness testing and version records into the platform, so the evidence Circular Letter No. 7 asks for is produced as part of normal work.

Does our data have to leave our environment?

No. We can build inside your own cloud account and US region, so data stays in the environment your security team already controls.

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.

Explore more

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Data & AI Platforms nearby: Boston, Philadelphia, Washington, DC

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Not sure where AI fits?

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