BallastAI Infrastructure for Regulated Organizations
On-premise deployment. Physical data segregation. No public models. Evidence-grade audit trails.
Trusted by teams in healthcare, financial services, manufacturing, and more
You can't use AI the way everyone else does.
No public models allowed
Your policy says no OpenAI, no ChatGPT, no external APIs. Most AI vendors assume you'll send data to their cloud. You can't.
Data must be physically segregated
Not row-level security. Not tenant IDs in a shared database. Actual separation—by client, by case, by jurisdiction. Most vendors can't do this.
Every action must be auditable
Compliance isn't a checkbox. You need evidence-grade logging. Repeatable audits. The ability to prove what happened in court if it comes to that.
Ballast exists for organizations with these constraints.
What Enterprise Teams Say
"We had to prove 100% segregation across client databases. Ballast is the only vendor that could do it architecturally, not just with policies."
— Legal Operations, Collections Law Firm
"No external models, no external APIs, full audit trails. We'd been stuck for 18 months. Ballast got us unstuck."
— CTO, Healthcare
"We don't need AI. We need permission to deploy AI. Ballast gave us that."
— VP Engineering, Financial Services
Enterprise Features
Built for Enterprise Requirements
Security, compliance, and control features that enterprise organizations require
Physical Data Segregation
Per client. Per case. Per jurisdiction. Each partition runs in its own database—not a shared table with filters. Ballast enforces separation at the infrastructure level.
On-Premise Deployment
Deploy on your servers, your data centers, your private cloud. No data leaves your network. No external dependencies.
No Public Models Required
Use local models, local OCR, local embeddings. Ballast is the control plane—it doesn't care what intelligence layer you choose. Swap models without rebuilding pipelines.
Works With Your Stack
Windows, Linux. SQL Server, PostgreSQL. C#, Python, Go. We adapt to your environment, not the other way around.
Evidence-Grade Audit Trails
Every query logged. Every access recorded. Structured for compliance review and legal discovery. Produce evidence, not promises.
Bias & Fairness Evaluation
Controlled datasets. Repeatable evaluation runs. Field-level analysis. When regulators ask how you tested for bias, you have an answer.
Success Stories
Enterprise Results
100% client segregation
Collections Law Firm
Before:
Couldn't use AI due to segregation requirements
After:
Physical database separation per client
Key benefit: AI approved by compliance
No external APIs
Healthcare Network
Before:
Policy prohibited public model usage
After:
On-prem deployment with local models
Key benefit: Full AI capabilities, zero data exposure
Evidence-grade logging
Financial Services Firm
Before:
No way to prove what AI accessed
After:
Every query auditable for legal discovery
Key benefit: Passed regulatory review
The Process
How We Work
Constraints Call
We understand your non-negotiables: segregation requirements, model restrictions, compliance frameworks, infrastructure constraints. No sales pitch—just understanding.
Architecture Design
Our engineers work with your team to design deployment: on-prem, private cloud, or hybrid. We map Ballast to your stack.
Implementation
Dedicated team handles deployment, integration, and training. You're in production in weeks, not months.
Let's talk about your constraints.
We'll map Ballast to your infrastructure, compliance requirements, and use cases. If we can help, we'll tell you what that looks like. If not, we'll tell you that too.