Built for regulated industries.
We design AI solutions that plug into your existing controls, or help you build the controls where they don't yet exist. Real estate, healthcare, legal, financial services. We've done the work.
Talk to the TreehouseAI is a governance problem before it's a technology problem.
Most companies adopting AI hit the same wall: corporate IT, compliance, or legal pumps the brakes. Where does the data go? Who has access? What models are trained on it? Are we still compliant with GLBA, SOC 2, or our own internal policies?
These are the right questions. Most AI vendors don't have good answers.
We do. Because we built our practice around them from day one.
Three ways we make AI safe to deploy.
We work inside your policies.
If you already have a data governance, information security, and vendor management framework, we plug into it. We don't ask clients to adapt to our standards. We adapt to theirs. We'll sign the MSA, the DPA, the NDA, and any vendor security addendum your team requires before any data access is granted.
We help build them where they don't exist.
For companies standing up AI governance for the first time, we partner with your team to draft policies aligned with industry standards: GLBA, SOC 2 Type II, the NIST AI Risk Management Framework. You walk away owning a governance framework that lets you evaluate any future AI vendor, not just us.
We build on infrastructure that's already compliant.
All AI workloads run on Amazon Bedrock: SOC 2 Type II, ISO 27001, HIPAA-eligible, with Zero Data Retention available. Application infrastructure runs on AWS-native services (Lambda, RDS, S3, API Gateway). Your data can stay inside your own AWS environment. Encryption everywhere, audit logs everywhere, no surprises.
Three ways we deploy. You choose.
Your AWS account
We build inside your existing AWS environment. Your data, your tenancy, your infrastructure. We hold scoped access for build and ops only.
Our managed environment with Zero Data Retention
We host the application. Bedrock is configured so customer data is never stored, logged, or used to train any model. Data in, response out, nothing persists.
Hybrid
Sensitive workloads in your environment. Orchestration in ours. Useful when iteration speed matters but data residency is non-negotiable.
The standards we design to.
Gramm-Leach-Bliley Act (GLBA)
For real estate and financial services NPI handling.
SOC 2 Type II
Inherited from AWS Bedrock and supporting services.
NIST AI Risk Management Framework (AI RMF 1.0)
Governance, mapping, measurement, management.
State financial privacy regulations
California CCPA/CPRA, New York DFS 23 NYCRR 500, others as applicable.
If your data is regulated, we're built for you.
DigitalTreehouse currently serves more than 60 clients across regulated and high-trust industries, including healthcare, legal, financial services, real estate, and enterprise B2B media. Some are deep AI engagements. Others are digital marketing, web development, or operations work where regulated data handling still matters.
Our AI-specific work spans legal AI infrastructure, real estate workflow automation, legislative and regulatory monitoring SaaS, and enterprise marketing data systems. The governance, security, and architectural patterns we use carry forward into every new engagement, regardless of industry.
Let's get your corporate team to yes.
20-minute call. No pitch. We'll walk through how the architecture, governance, and deployment options would work for your organization.
Start the conversation