Your journey with AI begins with the right tools in hand.
Haystac transforms complex, unstructured content into trusted, explainable decisions—without the cost, risk, or delay of traditional AI approaches.
Haystac delivers a unified, containerized AI stack that transforms unstructured enterprisedocuments into trustworthy, explainable intelligence entirely inside the customer’s own environment. No public cloud. No compliance risk. Full control.
Every Haystac containerized deployment includes the following security controls as standard — not optional add-ons, not customer configuration items:
| ✓ | Default-Deny Network Policies — No inbound or outbound connectivity by default. Network access is explicitly granted only where required. |
| ✓ | No Internet Connectivity — Containers operate fully air-gapped from external services. Data cannot reach the internet. |
| ✓ | Signed & Verified Artifacts — All container images are cryptographically signed and verified — eliminating supply chain risk. |
| ✓ | Hardened Containers — Non-root execution, read-only file systems, minimal base images, and minimal attack surface by design. |
| ✓ | In-Memory Processing Only — Sensitive content is processed in memory and never persisted to disk — no data at rest exposure. |
| ✓ | No Sensitive Content Logging — Audit logs capture operational events without recording the content of documents or queries. |
| ✓ | NIST 800-53 Aligned Controls — Boundary protection, information flow enforcement, vulnerability management, and software integrity controls are built-in. |
| ✓ | FedRAMP-Ready Architecture — Designed to meet FedRAMP expectations — reducing the burden on customer compliance and audit teams. |
Why Containerized AI Wins – For Security, Compliance, and Speed
| Capability | ✓ Haystac Containerized AI | ✗ Cloud AI / DIY Build |
|---|---|---|
Data Control |
✓
Data never leaves your environment — by architecture
|
✗
Relies on vendor policies and contractual promises
|
Security Posture |
✓
Pre-hardened, default-deny, no attack surface expansion
|
✗
Requires months of security architecture work
|
Compliance Fit |
✓
NIST 800-53 + FedRAMP-aligned out of box
|
✗
Must be designed, validated, and defended from scratch
|
Data Leakage Risk |
✓
Technically impossible — no outbound, in-memory only
|
✗
Mitigated by policy, not eliminated by architecture
|
Time to Production |
✓
Deploy on Day One within existing infrastructure
|
✗
12–24 months of build, hardening, and audit cycles
|
Audit Readiness |
✓
Evidence-ready controls, audit-aligned architecture
|
✗
Requires 3PAO engagement and custom audit evidence
|
Internal Resistance |
✓
No new risk category — fits existing governance model
|
✗
Requires security, legal, and compliance sign-off on novel risk
|
Total Cost |
✓
Immediate capability, proven security, faster ROI
|
✗
High build cost, high risk, delayed value
|
Haystac delivers a complete system for understanding, reasoning over, and acting on enterprise content—without the complexity of traditional AI approaches.
Haystac enables organizations to understand, reason over, and act on their content—turning documents into decisions in real time.
Automatically identify, separate, and route documents based on meaning—not templates or manual rules.
Convert complex, unstructured documents into structured, machine-readable data—accurately and at scale.
Generate trusted, explainable insight using retrieval-based AI grounded in your enterprise content.
Automate decisions and workflows across systems using AI agents that plan, execute, and adapt in real time.
Instead of retraining a massive model, Haystac surrounds your chosen LLM with your data, your context, and your domain rules — so it behaves exactly like a domain expert. The model doesn’t change. What changes is everything it knows, how it reasons, and what it’s allowed to say.
| Traditional DSLM Approach | Haystac Domain Intelligence System |
|---|---|
|
✗
Train or fine-tune a large foundation model
|
✓
Surround the model with domain context and reasoning
|
|
✗
Expensive — millions in compute and data
|
✓
Efficient — builds from your existing content
|
|
✗
Slow — weeks to months of training cycles
|
✓
Fast — production-ready from Day One
|
|
✗
Static — retraining required for new domains
|
✓
Adaptive — continuously learns from real-world use
|
|
✗
Opaque — no traceability for regulated environments
|
✓
Explainable — every response traceable to source
|
|
✗
Cloud-dependent — data leaves your environment
|
✓
Private — runs entirely inside your infrastructure
|
Gartner’s research highlights that in high-stakes environments — finance, healthcare, insurance, government — hallucinations aren’t just a quality problem. They create business liabilities.
The architecture matters as much as the capability. Organizations in regulated industries need AI that is explainable, auditable, private, and grounded in their own verified content. That’s not what you get from a fine-tuned public model. That’s what you get from a domain intelligence system.
| ✓ |
Explainable & Auditable Every Orion response is traceable to a source document. Every action is logged. Regulators and auditors can follow the reasoning chain. |
| ✓ |
Hallucination-Resistant RAG and Graph RAG architecture makes hallucination technically constrained — responses stay within the boundaries of verified enterprise content. |
| ✓ |
Private by Design The entire system runs inside the customer’s own environment. No data leaves. No cloud dependency. NIST 800-53 aligned out of the box. |
| ✓ |
Continuously Improving Domain models learn from real-world use without full retraining — exactly the SEAL-like adaptation Gartner identifies as a key breakthrough. |
| ✓ |
Deployment-Ready Not a research project. OmniSuite™ is in production today, with partners ramping to $350K–$500K ARR within 12–18 months of deployment. |