Governed by design. Embedded in operations. Built to mature.

DataExos works across AI, cloud, data, automation, integrations, and managed agents to help organizations move from fragmented tools to governed operating capability.

Governed by design

AI workflows should be accountable, observable, and bounded by human review where the stakes require it.

Embedded in operations

The value is not the model alone. The value is how the system connects to decisions, data, workflows, applications, and staff capacity.

Built to mature

Clients can begin with a fixed-scope engagement and expand only when the next level of maturity has a clear business case.

Managed IntegrationOps

The connective layer between tools, workflows, and AI.

DataExos helps organizations connect business applications, automate repeatable workflows, monitor execution, and introduce AI agents only where they improve operational performance under proper controls.

Connect systems

We bridge the business applications you already run, so information moves cleanly across the gaps between them.

handshake

Operate workflows

Repeatable work runs on monitored rails — routed across branches in many directions, resilient when a single path fails.

orchestration

Introduce managed agents

AI agents are introduced only where they lift performance — and always inside human-set controls.

governed lift

Three ways to begin...

DataExos Express

Fixed-scope, fixed-price engagements for organizations that need a defined entry point.

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Managed IntegrationOps

Managed integrations and workflow operations for teams that need connected, AI-ready systems.

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Custom Services

Strategy, implementation, and operational support for more complex AI, cloud, data, and workflow initiatives.

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Solutions for operational AI, not isolated experimentation.

A practical path from entry point to AI-native operations.

Rung 0 — Express Entry

Fixed-scope, fixed-price offers for organizations that need a clear starting point without a broad scoping process.

Rung 1 — Foundation

AI, cloud, data, integration, or workflow roadmap paired with a practical quick-win pilot.

Rung 2 — Production

One workflow deployed under change control, with governance, integrations, documentation, and post-launch support.

Rung 3 — Scale

Expansion across multiple workflows, teams, systems, integrations, or managed agents.

Rung 4 — AI-Native Operations

An ongoing managed relationship where DataExos supports the client's AI-enabled operating model, integration layer, and managed-agent workflows over time.

Engagements can begin at any rung

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Human control, composable systems, and operational discipline.

See the Approach→

DataExos designs systems that keep humans accountable for high-consequence decisions while allowing AI, integrations, and automation to reduce friction, connect knowledge, and accelerate execution.

We build around the systems, workflows, and constraints already inside your organization.

Infrastructure

Business Systems

Intelligence & Long Tail

Not AI. AI for Humans. (NAI. AIFH.)

We build systems that amplify what people can do — not systems that replace them. In environments where decisions carry consequences, the human judgment in the loop is the value, not friction to be removed.

‍NAI. AIFH. is our public commitment: AI deployed under human authority, observable to the people accountable for it, bounded by review where the stakes require it. It's how we choose what to automate, what to leave alone, and where the system must yield to a person.

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Designed for regulated environments.

We build systems aligned with the controls your auditors expect — SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, FINRA/SEC, CCPA, and the regulations your industry actually faces. Your operating model has to withstand review. The systems we build are designed to support that review, not complicate it.

Compliance posture is a design input from day one — not a layer applied after the fact. That changes the architecture, the audit trail, the integrations, and the human-review surfaces. It's why our work shows up in environments that don't let AI through the door otherwise.
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Discuss a Regulated Workflow

See the Trust & Controls Approach

SOC 2

Service org controls (security, availability)

ISO 27001

Information security management system

HIPAA

Healthcare protected information

GDPR

EU data protection regulation

State Privacy

CCPA/CPRA, VA, CO, CT, TX, and the growing US state patchwork

PCI DSS

Payment card data security standard

FINRA / SEC

Financial services and securities

FedRAMP

Federal cloud authorization

NIST 800-171

Controls for federal CUI handling

CMMC

DoD contractor cybersecurity maturity

NIST AI RMF

AI risk-management framework

EU AI Act

EU artificial intelligence regulation

Resources & Insights

Six field references from our research desk: the case for operational AI, a practical data-security posture, an AI-readiness checklist, the evidence on AI and employment, a map of the AI terrain, and our flagship brief on AI and data regulation across eight jurisdictions. Every claim is sourced and dated — and the legal-landscape brief ships with its complete dataset as JSON and CSV, readable by your team and by the AI agents working alongside them.

Insights

Blog Articles

AI for Humans: Ensuring Humanity's Place in an AI-Driven World

May 5, 2025

As AI rapidly advances, it’s critical to prioritize human values, ethics, and well-being. This article explores the societal and existential implications of AI, highlighting both its risks—like job displacement and psychological manipulation—and its potential to improve healthcare, governance, and sustainability. A call for global collaboration and human-centric innovation.

Navigating the Evolving AI Regulatory Landscape for U.S. Businesses

May 4, 2025

In 2025, U.S. companies face evolving AI regulations, from FTC crackdowns to California's CPRA and the EU AI Act (effective 2024). This article explores compliance for generative AI, algorithmic decisions, and surveillance AI across industries. Learn how to align with global standards and turn compliance into a competitive edge.

The Cloud Landscape in 2025: A Comprehensive Comparison of Major Platforms and Specialized Solutions

May 4, 2025

Choosing the right cloud platform is critical for business success. This comprehensive guide compares AWS, Azure, Google Cloud, and key infrastructure players like MongoDB, IBM, Snowflake, and Databricks across performance, cost, security, AI capabilities, and more—helping you align your cloud strategy with your organization’s unique goals.

Governed AI systems for high-consequence work.

We don't sell AI.

We build the system that runs it.

Governed by design. Embedded in operations. Built to mature.

Governed by design

Embedded in operations

Built to mature

The connective layer between tools, workflows, and AI.

Connect systems

Operate workflows

Introduce managed agents

Three ways to begin...

DataExos Express

Managed IntegrationOps

Custom Services

Solutions for operational AI, not isolated experimentation.

A practical path from entry point to AI-native operations.

Human control, composable systems, and operational discipline.

We build around the systems, workflows, and constraints already inside your organization.

Not AI. AI for Humans. (NAI. AIFH.)

Designed for regulated environments.

Resources & Insights

Blog Articles

Featured

Services

Mission

Featured

Services

Mission