Comparison · Private AI Agents

"Lindy is OpenClaw without the security nightmare" — but whose nightmare, exactly?

If Lindy's pitch sounds familiar, it should. It's the same cloud SaaS model with a better brand. The question is: Where does the model actually run, and who controls the keys?

🔒 Private by design — your infrastructure 🚫 Zero data leaves your environment 🔑 Your keys, your model, your audit trail 🏢 Dedicated server, not shared multi-tenant cloud

The actual question you're asking

Lindy and OpenClawInstall both sell "private AI agents" for professional teams. The names sound similar. The positioning sounds similar. But there's a categorical distinction that determines whether your client data is actually private — or just contractually private.

The question is not: Which platform has better enterprise controls?

The question is: Where does the model run, and who controls the keys?

Cloud SaaS vs. Dedicated Private Server — This Is the Divide

Factor Lindy
Cloud SaaS
OpenClawInstall.AI
Dedicated Private Server
Model runs on Lindy's servers — their infra, their model stack Your dedicated server or your cloud account
Your encryption keys Lindy holds them (BYOK on their infra) You hold them — true BYOK
Data leaves your infra Every query — to Lindy's servers Never
Multi-tenant exposure Yes — shared infrastructure across all Lindy users No — isolated deployment, your server only
Audit logs for YOUR firm Lindy controls them — in their system Your deployment generates them — in your environment
Model version control Lindy updates when they choose You freeze or update on your schedule
Exit path Export Lindy's data format, re-build workflows elsewhere Export everything — self-host or move platforms
Privacy type Contractual (DPA) + their security controls Architectural + technical — data plane never crosses to OCI systems
Compliance certs SOC 2, GDPR, HIPAA, PIPEDA — all on Lindy's cloud infra. HIPAA covers Lindy's security controls, not where PHI is processed. Your infra, your certs. If your server is HIPAA-compliant, your AI deployment is too. No third-party processing layer.
Desktop automation Computer use (Pro+) — clicks through apps on your screen. Desktop automation, not operational autonomy. N/A — OCI focuses on operational AI (intake, research, document workflows), not desktop RPA.

Lindy's Enterprise Controls Are Real. They Just Don't Mean What You Think.

01

Lindy covers access governance

SSO, SCIM provisioning, role-based access, audit logging within Lindy's system — these are genuine enterprise controls that make Lindy well-governed as a SaaS product.

This means: who on your team can log in, what they can do inside Lindy, and what's recorded in Lindy's activity logs.

02

Lindy does NOT cover data sovereignty

Where your query data goes after you hit enter, which infrastructure subprocessors can access it, and whether it touches Lindy's model training pipeline — these questions are not answered by SSO and SCIM.

Access governance and data sovereignty are different compliance dimensions. Good IAM doesn't make a cloud platform private.

03

The BYOK distinction is architecture, not branding

Lindy's BYOK means you're bringing an encryption key to their infrastructure. OCI's BYOK means you're running on infrastructure you control. One is a security control on a cloud system. One is a fundamentally different deployment category.

If the servers aren't yours, the key is decorative — you have contractual assurance, not architectural isolation.

7 Questions Lindy's Sales Team Doesn't Want You to Ask

1

Where exactly does my data reside after a query completes? Get the data processing agreement language — not just the marketing page. Ask specifically about subprocessors.

2

Does Lindy or any infrastructure subprocessor have the ability to access my decrypted query data? For what purpose, and under what conditions?

3

What happens to my firm's data and workflows if Lindy is acquired, pivots, or has a multi-week outage? What's the actual exit path, documented, not gestured at?

4

Can my firm freeze the model version currently running — and for how long? For firms in active litigation or transactional matters, consistent outputs are a quality control issue.

5

Does Lindy's training opt-out apply to all past, present, and future queries at the firm level — including deleted matters? Get this in writing, not in a sales call.

6

Lindy now claims HIPAA compliance. Does that mean PHI is processed on HIPAA-compliant infrastructure — or does it mean Lindy's security controls are HIPAA-aligned? There's a critical difference. HIPAA-compliant controls on a multi-tenant cloud server don't equal HIPAA-compliant processing. Ask specifically: does our PHI leave our environment to be processed?

7

Lindy's Computer use gives their agent screen-level access to my desktop. What data does Lindy's cloud infrastructure see when Computer use is active? Desktop automation means Lindy can see whatever's on your screen — client documents, case files, emails. On Lindy's multi-tenant cloud, that's a different exposure surface than most firms realize when they see "AI assistant."

This Is What Real Private AI Deployment Means

OpenClawInstall.AI's dedicated private server deployment: your data never leaves your infrastructure, your model runs on your schedule, your keys stay in your hands.

OCI Capability What It Means for Your Firm
Zero data transmission to third-party platforms Queries, documents, client communications — never leave your environment
Your model, your version, your schedule Freeze model versions for active matters. Update on your timeline, not the vendor's.
True BYOK — you hold the keys OCI manages the agent stack. You control the data plane.
Dedicated, not shared No multi-tenant exposure. No breach affecting everyone on the platform.
Full audit trail, your infrastructure Deployment logs, query logs, access logs — all in your environment, you control them.
Real exit path Export workflows, data, agent configurations. Self-host or migrate. No lock-in.
OCI Deployment Options
Your Cloud Account

AWS, GCP, or Azure — OCI manages the agent stack on infrastructure you own

Dedicated VPS / On-Premise

Your own server, fully isolated, OCI manages the software layer

Air-Gapped

Maximum sensitivity environments — no internet connection required

Common Questions About Lindy vs. OCI

SOC 2 certifies security controls, not data usage policies. HIPAA certification on Lindy's cloud means Lindy meets HIPAA security requirements on their infrastructure — it doesn't mean your PHI never leaves your environment. Every query still processes on Lindy's multi-tenant servers. For law firms handling health-related matters, architectural isolation (OCI) protects in ways contractual certification (Lindy) cannot.

Lindy's Computer use (available on Pro $99.99/seat and Max $199.99/seat) automates desktop actions — clicking through apps on your screen, filling forms, navigating websites. It's desktop RPA, not operational AI. For law firms, the concern is that "computer use" means Lindy's agent has screen-level access to whatever's on your desktop — including client documents, case management systems, and email. On Lindy's cloud infrastructure, that's a significant data exposure surface. OCI doesn't offer desktop automation because operational AI (intake, research, document review) is a different — and for law firms, more valuable — capability.

SSO and audit logs govern access to Lindy's system. They don't determine where your data goes after the query is sent. Both matter — they're just different questions.

Lindy charges per-seat and per-query (Plus $49.99/seat, Pro $99.99/seat, Max $199.99/seat, enterprise custom). OCI's dedicated server deployment has fixed infrastructure costs that become more economical at higher team sizes and usage volumes — with no per-query pricing surprises.

Lindy self-serve onboarding is faster initially — but comes with contract terms, shared infrastructure, and limited exit options. OCI deployments range from a few days (cloud account setup) to a few weeks (dedicated server or air-gapped), with full data sovereignty from day one.

Yes. OCI enterprise deployments include SSO, SCIM provisioning, deployment logs, and audit trail generation. The difference is these controls govern your infrastructure — not a shared multi-tenant system.

OCI: export your workflows, agent configurations, and data. Self-host or migrate to another platform. Lindy: export Lindy's data format, re-build workflows in the next platform, renegotiate training opt-outs. Both have exit paths — only OCI's is architecturally unencumbered.

Ready to see what a real private AI deployment looks like?

Get a 30-minute demo of OCI's dedicated private server deployment — in your environment, with your data sovereignty confirmed.