Lazarus

On-premises AI that processes insurance documents with zero data risk -- behind your firewall, not ours.

Document Management Startup Seed

Overview

Lazarus AI builds extractive and on-premises artificial intelligence systems for regulated industries. The company specializes in practical, explainable AI with a zero-data-risk architecture -- the entire platform runs behind the customer firewall with no data transmitted to external servers. Its multimodal engine processes text, documents, images, audio, video, tabular data, and geospatial information.

In insurance, Lazarus AI has demonstrated dramatic efficiency gains: disability claims processing reduced from two to three weeks down to thirty minutes, 90% accuracy in data extraction within eight weeks of deployment, and handling one-third of faxed medical records in a client portfolio. The company reports that 20% of the top global insurers use its technology.

Founded in 2017 and headquartered in Cambridge, Massachusetts, Lazarus AI has attracted a roster of insurance-focused investors including QBE Ventures and Nippon Life Group (via AllegisNL Capital). In 2025 the company announced expansion into the Japanese insurance market through its partnership with Nippon Life.

Products & Services

RikAI

AI orchestration and risk underwriting platform. Extracts data from any document without training examples, supporting underwriting and risk assessment workflows with reported 90% accuracy on insurance documents.

Key Features

Large language model tuned for document extraction with no training required
Underwriting and risk classification from complex multi-format documents
High-precision models that only answer when reliable data is present

Target Users: Underwriters, risk analysts at carriers and reinsurers

ATLS

Multi-modal, multi-step information reasoning and decisioning engine. Interprets handwritten text, typed data, video, and images to orchestrate complex decision-making chains.

Key Features

Supports anomaly detection and investigation workflows
Complex decisioning chains across modalities
Temporal and two-dimensional understanding for forms and visual content

Target Users: Claims adjusters, prior authorization teams

Lazarus Forms

General data extraction API that pulls entities, tables, and key-value pairs from unstructured PDFs without training examples.

Key Features

Handles document and form processing across multiple formats
No training data required for deployment
Supports faxed records, handwritten forms, and mixed-format documents

Target Users: Health and life insurers processing high volumes of incoming documents

VKG (Vector Knowledge Graphs)

Enterprise knowledge management and navigation layer for institutional knowledge synthesis.

Key Features

Data navigation and relationship mapping across organizational knowledge
Supports reasoning over internal documentation and records
Designed for regulated industries with strict data governance requirements

Target Users: Operations and knowledge management teams at large carriers

At a Glance

Founded: 2017
Headquarters: Cambridge, Massachusetts, USA
Employees: 11-50
Funding: Seed

Category & Focus

Category: Document Management
Subcategories: Claims Automation AI and Machine Learning OCR and Data Extraction
Insurance Verticals: Life & Annuity Health P&C Commercial
Target Customers: Carriers, TPAs

Customers

Top 20% of global insurers (company-reported metric)
Northeastern US health insurer handling 50% of prior authorizations via Lazarus
Disability carrier reducing claims cycle from 2-3 weeks to 30 minutes
Public sector customer achieving 2000% faster data collection vs. manual methods