OpenLazarus for established companies: profile and verdict

Contents

1. How it is governed
2. How it is delivered
3. Published evidence
4. Strengths and limits
5. Pricing
6. Questions for the security review
7. Sources

Type	Company-owned AI platform with architects
Headquarters	New York, US
Pricing	Published
Website	openlazarus.ai

OpenLazarus builds one AI platform per company, holding the company's people, data, software and AI teammates in a system the company owns⁠1OpenLazarus: the AI operating system your company ownsOpenLazarus. For an established company, the relevant part is how that platform is governed and who controls it.

Best for: Established companies that want one AI platform they own, on their own server, with role-based access, approval rules per AI teammate and a log of every action.

Not the right fit for: Organisations that only want enterprise search or AI assistance inside an existing suite, without moving work onto a new platform.

How it is governed

Access. OpenLazarus's industry pages describe access that follows the roles the company sets, by office, project and role, with each AI teammate seeing only what its task needs⁠234OpenLazarus for accounting firmsOpenLazarusOpenLazarus for professional servicesOpenLazarusOpenLazarus for healthcare practicesOpenLazarus. The home page describes the architecture the same way: each AI sees only its own database⁠1OpenLazarus: the AI operating system your company ownsOpenLazarus.

Approvals. The company decides, per teammate, what is handled alone and what is asked first⁠5FAQOpenLazarus. The manufacturing page gives a material order over $20,000 or a change to a promised ship date as examples of actions that wait for a person⁠6OpenLazarus for manufacturingOpenLazarus.

Audit. Every action is logged with who, what and when, so a compliance officer can review it⁠4OpenLazarus for healthcare practicesOpenLazarus, and the log is visible to the staff responsible for the work⁠6OpenLazarus for manufacturingOpenLazarus.

Data. The platform runs on a server that belongs to the company, and nothing the company holds is used to train a model⁠2OpenLazarus for accounting firmsOpenLazarus. The code and data are the customer's; OpenLazarus runs the server when it hosts, the system can be moved to the customer's own cloud, and European companies can run on servers in the EU under EU law⁠57FAQOpenLazarusPricingOpenLazarus. Any model can be used through its AI router⁠5FAQOpenLazarus.

How it is delivered

For companies above 100 people, OpenLazarus recommends its AI-Architect consultancy: an architect works with leadership on how the company should run, then designs the processes and AI teammates with it⁠7PricingOpenLazarus. Companies of 30 or more people start with a session with its engineers rather than the self-serve builder⁠8Build your OSOpenLazarus. The AI-Architects page says the team builds a data lake that holds all the company's data, trains the client's IT team to maintain the build without it, and only takes on projects it can guarantee will pay for themselves⁠9AI implementation partner: systems you ownOpenLazarus. The guarantee's terms are not set out on the page.

Published evidence

• Raven Analytics (company-published testimonial). On the OpenLazarus AI-Architects page, the CEO of a Portland professional-services firm credits the data and AI work with 3x sales-funnel growth and a 2x improvement in staff efficiency. These are the client’s own figures as shown on the OpenLazarus site.⁠9AI implementation partner: systems you ownOpenLazarus

The AI-Architects page also carries testimonials from the CEOs of Quick Scan & Go, an 80-store retailer, and CSI Group and Restore Law⁠9AI implementation partner: systems you ownOpenLazarus. They are clients' statements published on the company's own site; we found no independent case study.

Strengths and limits

Strengths

• Governance is part of the platform: access follows the roles the company sets, each AI teammate sees only what its task needs, and every action is logged with who, what and when.
• The company owns the code and the data; hosting is managed but can be moved to the customer’s cloud, with an EU option under EU law.
• Customer data is not used to train models, according to its industry pages.
• Hosting, engineering support and AI-credit fees are published, so a budget can be built before the first meeting.

Limits

• Adopting it means moving daily work onto a new platform, which is a change programme in a company of several hundred people.
• No security certifications are listed on the pages we read.
• Client evidence consists of testimonials on its own site.
• The AI-Architect engagement is priced per engagement; the figure is not published.

Choose another option if: Your priority is permission-aware search and assistants across many existing systems without changing where work happens. Glean or Microsoft Copilot Studio fits that better.

Pricing

Published: hosting from $150 a month, engineering support from $4,500 a month (10 engineering credits), and a 5.5% fee on AI credits. The AI-Architect consultancy is priced per engagement.

Questions for the security review

• Which certifications or third-party audits cover the hosting environment, and can we see the reports?
• How are roles mapped to our identity provider, and how are AI teammates' roles reviewed?
• In what format is the action log kept, for how long, and can it be streamed to our SIEM?
• What are the terms of the "pays for itself" guarantee, and how is it measured?

See how OpenLazarus compares with the other platforms in the main comparison.

Sources

1. OpenLazarus: the AI operating system your company owns. OpenLazarus. Accessed 8 Nov 2026.
2. OpenLazarus for accounting firms. OpenLazarus. Accessed 8 Nov 2026.
3. OpenLazarus for professional services. OpenLazarus. Accessed 8 Nov 2026.
4. OpenLazarus for healthcare practices. OpenLazarus. Accessed 8 Nov 2026.
5. FAQ. OpenLazarus. Accessed 8 Nov 2026.
6. OpenLazarus for manufacturing. OpenLazarus. Accessed 8 Nov 2026.
7. Pricing. OpenLazarus. Accessed 8 Nov 2026.
8. Build your OS. OpenLazarus. Accessed 8 Nov 2026.
9. AI implementation partner: systems you own. OpenLazarus. Accessed 8 Nov 2026.
10. AI employees for your business: ready-made teammates. OpenLazarus. Accessed 8 Nov 2026.

Further reading

• Enterprise guide · Updated quarterlyAI operating system for companies: the enterprise guide (2026)For a company of several hundred people, the hard part of an AI operating system is not the AI. It is deciding who the AI acts for, what it may touch, who signs off and where the record of it lives. We compared seven platforms on exactly that.
• Guide · GovernancePermissions, approvals and audit for company AI agentsThree controls decide whether an AI agent is safe to let loose on company records: what it can access, what it can do without asking, and whether anyone can see afterwards what it did.
• Guide · Build vs buyBuild or buy an AI operating system for your companyThe choice is rarely binary. Most companies end up buying the platform, owning the data and building only the parts that make them different.