Zedly vs ChatGPT Enterprise
ChatGPT Enterprise is a powerful general-purpose AI. Zedly is purpose-built for organizations where the question isn't "can AI help us?" — it's "can we actually use it without our data leaving our control?"
If you're in legal, healthcare, defense, or manufacturing — and your compliance team has blocked every general AI tool so far — that's the gap Zedly fills. Same modern AI experience. Your infrastructure. Your keys. Your rules.
Quick-Glance Comparison
| Feature | Zedly | ChatGPT Enterprise |
|---|---|---|
| Deployment | Cloud, VPC (AWS/Azure), Air-Gapped/On-Prem | Cloud only |
| Data leaves your network? | No (VPC + Air-Gap options) | Yes — data goes to OpenAI servers |
| Training policy | Contractual no-training guarantee | No training on Enterprise tier |
| HIPAA | BAA available; HIPAA-aligned controls | BAA available via OpenAI |
| ITAR / CMMC | Air-gapped deployments; ITAR-compatible | Not suitable — data transits OpenAI cloud |
| Document-specific AI | RAG with citations, field extraction, Python sandbox | General-purpose (Code Interpreter add-on) |
| Starting price | $29/month (public pricing) | ~$60/user/month, 150-user minimum |
| Minimum annual spend | $348/year | ~$108,000/year |
| Encryption | AES-256 at rest, TLS 1.3 in transit | AES-256, TLS |
| Customer-managed keys | ✓ Yes (VPC + Enterprise tiers) | ✗ No |
| Air-gapped / offline | ✓ Yes | ✗ No |
| RAM-only analysis | ✓ Yes — tmpfs, cryptographically zeroed | ✗ No |
Your documents go somewhere. The question is where.
With ChatGPT Enterprise, OpenAI commits to not training models on your data. That's a meaningful promise. But your documents still travel to OpenAI's servers, get processed on OpenAI's infrastructure, and live in OpenAI's cloud. For most organizations, that's fine.
For legal teams handling privileged communications, defense contractors working with controlled technical data, or healthcare providers dealing with protected health information — "we promise not to train on it" may not be enough. The question compliance teams ask is simpler: does the data leave our environment at all?
Secure Cloud
Documents are encrypted (AES-256) in your isolated workspace. Analysis runs in a RAM-only environment via tmpfs mounts — active data is never written to disk. When your session closes, the RAM is cryptographically zeroed.
Private Cloud (VPC)
Zedly is deployed inside your AWS or Azure VPC. All traffic flows through PrivateLink endpoints. Your data never crosses the public internet. You manage encryption keys via AWS KMS or Azure Key Vault.
Air-Gapped / On-Prem
Zero data egress. Zedly runs on your own hardware or Kubernetes cluster. Models delivered via offline media. No internet connection required. Designed for SCIFs, defense contractors, and any environment where the network perimeter is absolute.
ChatGPT Enterprise has one deployment option. Zedly has three.
| Deployment | Zedly | ChatGPT Enterprise |
|---|---|---|
| Managed SaaS (cloud) | ✓ Secure Cloud | ✓ |
| Private VPC (your AWS/Azure) | ✓ Private Cloud | ✗ |
| On-premise (your hardware) | ✓ Self-Hosted (Docker/Kubernetes) | ✗ |
| Air-gapped (zero internet) | ✓ Air-Gapped delivery | ✗ |
| GovCloud / Azure Gov regions | ✓ Supported | ✗ |
For organizations that have passed the "we want AI" decision but are stuck on "we can't put our data in the public cloud," Zedly's deployment flexibility is the key differentiator. You get the same product — same RAG pipeline, same document understanding, same Python sandbox — at whichever security rung your policy requires.
Compliance isn't a badge. It's an architecture decision.
HIPAA
Both Zedly and ChatGPT Enterprise offer Business Associate Agreements (BAA). The difference is where PHI gets processed. On Zedly's self-hosted or VPC deployments, PHI never leaves your environment — your HIPAA risk surface is smaller by design. The self-hosted stack supports HIPAA-aligned technical safeguards: encryption at rest (AES-256), access controls (RBAC/SSO), audit logging, and configurable data retention.
ITAR
ChatGPT Enterprise cannot be used for ITAR-controlled technical data. When data transits OpenAI's servers, it crosses outside your controlled environment — a fundamental ITAR violation regardless of privacy promises. Zedly's air-gapped deployment is ITAR-compatible by architecture: the data never leaves your network. No internet connection, no egress, no third-party cloud custody.
CMMC
CMMC Level 2 and above require CUI (Controlled Unclassified Information) to be protected in a compliant environment. Zedly's on-prem and VPC deployments support CMMC-aligned architectures for defense contractors handling CUI — the data stays within your accredited boundary.
Zedly publishes its prices. ChatGPT Enterprise doesn't.
| Zedly | ChatGPT Enterprise | |
|---|---|---|
| Pricing visibility | Public, on website | Contact sales required |
| Starting price | $29/month | ~$60/user/month (estimated) |
| Minimum users | 1 | 150 users |
| Minimum commitment | Monthly available | Annual contract required |
| Minimum annual spend | $348/year | ~$108,000/year |
| Free trial | 7-day free trial | Demo only |
| Enterprise / On-prem | From $1,499/month | Custom negotiation |
ChatGPT Enterprise is priced for Fortune 500 deployment — 150-user minimum, annual contract, custom negotiations. Zedly's Business plan at $399/month covers 10 seats. Enterprise and on-prem deployments start at $1,499/month — still a fraction of the ChatGPT Enterprise minimum for most team sizes.
See Zedly Pricing →ChatGPT is great at many things. Zedly does one thing extremely well.
ChatGPT Enterprise is a general-purpose AI assistant with document upload. Zedly is a purpose-built document intelligence platform. That distinction matters when your use case is reviewing 200-page contracts, analyzing engineering logs against specs, comparing vendor proposals, or running compliance checks against a known requirement set.
| Feature | Zedly | ChatGPT Enterprise |
|---|---|---|
| RAG with page + paragraph citations | ✓ | Partial |
| Vault (persistent document library) | ✓ | ✗ |
| Active Desk (isolated analysis context) | ✓ | ✗ |
| Session hibernation / project management | ✓ | ✗ |
| Python sandbox for CSV/XLS (ephemeral) | ✓ | ✓ Code Interpreter |
| Structured field extraction | ✓ | Partial |
| S3-compatible data lake connector | ✓ | ✗ |
| Real-time on 1,000+ page document sets | ✓ (Groq LPU) | ✗ |
| Document redaction agent | ✓ (Pro+) | ✗ |
Neither platform trains on your data. But only one guarantees your data stays yours.
Both Zedly and ChatGPT Enterprise commit to not training on your inputs. This is table stakes in 2025 for any enterprise AI product.
The deeper question is data custody.
With ChatGPT Enterprise, your prompts and documents are processed by OpenAI's infrastructure. OpenAI commits not to use it for training — but they have access to the data. You're trusting their access controls and their policy.
With Zedly, depending on deployment:
- Cloud: Data processed in Zedly's isolated infrastructure, RAM-only, cryptographically zeroed on session close
- VPC: Data never leaves your cloud account. Zedly has no access.
- Air-Gapped: Data never leaves your facility. No internet. Zero egress. Mathematically guaranteed.
The right tool depends on where your data has to live.
If your documents can go to the public cloud — ChatGPT Enterprise is a strong choice with excellent general-purpose capability. If your documents can't — or if you're in a regulated industry where that question is still being answered — Zedly gives you the same AI capability with the controls your compliance team actually needs.