Lazarus AI has secured $43 mn in funding to expand its artificial intelligence technology for enterprises and government organizations, with backing from investors including QBE and State Farm Ventures.
The financing also attracted participation from Mucker Capital, Motivate Ventures, Wave Function Ventures, Indelible Solutions, Joyance Partners, AllegisNL Capital, One Way Ventures, AngelList, Techstars, Plug and Play and other investors.
- Lazarus AI has raised $43 mn with participation from QBE, State Farm Ventures, Mucker Capital, Motivate Ventures and other investors to expand its enterprise and government AI business.
- Its technology addresses three areas: document intelligence, cybersecurity vulnerability analysis and legacy system modernization, with customers retaining control over data, models and deployment.
- The company reports a 12.5-percentage-point improvement in document extraction accuracy across 150 customer use cases and a modeled 78% reduction in annual operating costs under a high-volume scenario.
The company develops AI systems for organizations handling sensitive information and complex operational processes, particularly in regulated industries such as insurance and government.
Its approach focuses on allowing customers to control their own data, select and approve AI models, determine deployment environments and manage operating costs without depending on a single model provider.
Lazarus AI raises $43 mn to expand enterprise AI technology
Lazarus AI plans to use the new investment to develop strategic partnerships, increase research and development spending and introduce additional products.
The company provides AI technology for organizations seeking to deploy automated systems while maintaining oversight of how those systems operate and how their results are generated.
Alex Panait, Chief Executive Officer of Lazarus AI, said organizations need greater control over AI infrastructure, model selection and costs. “The opportunity in AI is enormous. So is the question of control: who chooses the models, where data runs, how costs behave, and whether an organization can still change direction,” Panait said.
Our customers keep sensitive data inside their walls, approve every model change and see the evidence behind every result.
Alex Panait, CEO of Lazarus AI
Lazarus AI said its technology is already used in production environments by major insurers, government agencies and technology companies.
AI products target insurance documents, cybersecurity and legacy systems
Lazarus AI’s product portfolio covers three principal areas where organizations manage complex information or business-critical technology. Its Applied Intelligence System analyzes complex documents and links individual findings to the source pages supporting them.
According to the company, the system improved field-level accuracy by 12.5 percentage points compared with standalone AI models across 150 customer use cases.
The source-linked approach is intended to make document processing results easier for users to verify, particularly when handling information requiring a clear audit trail.
In cybersecurity, Lazarus AI offers Clearwing, a system designed to identify vulnerabilities in software source code.
Clearwing can reproduce suspected vulnerabilities, assess the supporting evidence and recommend corrective changes. Engineers retain responsibility for deciding whether and when proposed fixes are implemented.
The company’s Constructor product addresses the modernization of legacy technology.
Constructor extracts business logic from systems developed decades earlier and generates modern software code that Lazarus AI says can be demonstrated to behave equivalently to the original applications.
The technology is currently being tested in pilot projects involving two of the world’s largest mainframe manufacturers.
Lazarus AI reports modeled 78% reduction in operating costs
Lazarus AI offers deployment options intended to accommodate different enterprise security and infrastructure requirements. Its systems can operate on premises, within sovereign computing environments or in infrastructure hosted in a customer’s own cloud.
The company says its architecture allows customers to replace AI models or hardware without rebuilding their applications. Unlike services that charge according to the number of tokens processed, Lazarus AI does not apply per-token usage fees.
In a modeled scenario involving high-volume AI workloads, the company estimated that its platform could reduce annual operating costs by 78% compared with pay-per-use frontier AI models.
The figure represents a modeled comparison rather than a verified cost reduction across all customer deployments.
The pricing and deployment approach is intended to give organizations greater predictability over AI expenditure while maintaining direct control over sensitive information and infrastructure decisions.
Funding supports AI adoption in regulated industries
Lazarus AI’s technology focuses on activities where organizations require reliable processing, traceable results and control over automated decisions. Its document intelligence capabilities address information-intensive workflows, while Clearwing and Constructor extend the company’s offering into software security and modernization of established technology systems.
The company positions these products as alternatives for organizations seeking to use AI without relinquishing control of their data, models or deployment infrastructure.
The $43 mn financing will support further development of these capabilities, expansion of commercial partnerships and the introduction of new enterprise AI products.
