Practice Areas
Trusted to deliver mission-critical capabilities to the largest and most demanding organizations in the world. Each practice area runs on the independent Lazarus platform, in your environment, under your governance.
Explore the practice areas →01Insurance
Submissions, claims and audit files arrive as email threads, nested attachments, scanned PDFs and multi-tab workbooks. Lazarus reads them in full, books every field with its source, and scores the result against the page it came from.
of the world's ten largest insurance companies run Lazarus in production.
read in one pass, with facts located even in misfiled blocks.
Schema-enforced extraction with provenance. Every field returns as typed JSON with value, confidence, source, page and bounding box.
Email, nested attachments, scanned PDFs and multi-tab workbooks of 70,000+ lines unpacked, and every document typed by line of business before extraction runs.
Every field returned as typed JSON with value, confidence, source document, page and bounding box, down to row-level tables such as loss runs and SOVs.
Limits, sub-limits, layers, attachment points, deductibles and share of risk rebuilt when they are spread across slip, questionnaire and spreadsheets in different units and currencies, with discrepancies flagged.
Values mapped to your reference data, the policy matched in the administration system, and each booked field scored against source as Pass, Fail or N/A.
Language-specific extraction rules and narratives for each market, written and validated by native speakers, with locale-formatted and partial dates normalized.
Audit templates and handlers' unwritten conventions encoded as 130+ scored checks across up to 16 sections, each with rationale and page citation, regression-tested against SME adjudicated files before release.
Confirm a genuine first notice of loss, identify the handler, and assess loss cause, coverage, exposure, complexity, sanctions and reserve, each cited to its source.
A 300 to 1,200 page file, combining text, tables, images and handwritten notes, read in full context: facts located in misfiled blocks, a treatment timeline that separates pre-existing conditions, and time-limit demands surfaced on day one.
02Civilian Government
Audit-ready AI for agencies that answer to auditors, legislators and taxpayers. Every determination cites the policy in effect on the date of service, and every case package is ready for an investigator to pick up.
US medical records already pass through Lazarus systems.
prior authorizations in the US Northeast are managed on Lazarus.
Policy-grounded rule evaluation. Each claim is tested against the version of the policy in effect on the date of service, with the section cited.
Fee-for-service claims, managed-care encounters, EVV records, authorizations, enrollment files, exclusion lists and licensing and corporate registries mapped to one versioned schema with lineage per field.
Deterministic and probabilistic matching of providers, owners, facilities, addresses and beneficiaries, exposing excluded operators re-enrolled under new identifiers.
Claims, encounters, authorizations and visit records aligned in time per beneficiary, with late, corrected and voided transactions handled, so tests run on the episode rather than the line.
Each claim tested against coverage policy, authorization rules, billing manuals and fee schedules as written, using the version in effect on the date of service, with the policy section cited.
Requests checked against eligibility, clinical criteria and documentation requirements, returning a determination, the criteria met or unmet, and the documents still missing.
Peer-group and temporal outlier analysis with typologies drawn from closed investigations, thresholds calibrated with program experts, and results ranked by recoverable amount.
Transaction-level evidence, policy citations, entity links and provenance compiled per provider, with a recommended action: recover, suspend, refer or terminate.
On-premises or sovereign cloud, role-based access, single sign-on, agency-controlled retention and full audit logs, aligned to HIPAA.
03Defense & Intelligence
Runs fully air-gapped. Your data never leaves the building. Models, OCR, orchestration and evaluation all run on your hardware, and every value in a fused view traces back to the record it came from.
of network egress. Updates arrive as signed images with an SBOM.
air-gapped production program, proven in the field.
Air-gapped operation of the full stack. Zero network egress on your hardware, with signed images and an SBOM for every update.
Models, OCR, orchestration and evaluation run with zero network egress on your hardware. Updates arrive as signed images with an SBOM.
Degraded scans, stamps, handwriting and mixed scripts read, with tables, graphs, equations and captions recovered as structured elements rather than flattened text.
Glossary-enforced translation that keeps units, part numbers, table cells and formula notation intact, aligned side by side for analyst verification.
Specifications and logistics records from many systems mapped to one model of units, nomenclature, identifiers and time, with lineage to each source record.
Structured records, documents and reports combined into decision-support views in which every value traces to its sources and conflicts are surfaced rather than averaged.
Personnel matched to roles across qualifications, clearances, availability and preferences, searching 9.3 × 10157 combinations in under two minutes with the deciding constraints shown. Demonstrated as a POC.
Models that process threat material and graphic sources commercial models refuse, under ITAR and approved-use controls.
Benchmark sets built with mission owners, accuracy measured per document type and language before fielding, and drift monitored after every model or hardware change.
04Technology
The flaws attackers find first, and the legacy code no one can safely change. Two tracks, one discipline: every finding is reproduced before it is reported, and every rewrite is proven equivalent before it is signed off.
evidence levels for every finding, from suspicion to validated patch. Unreproduced findings are labeled unverified.
writes to your repository. Fixes arrive as patch files through your ticketing and ASPM tools.
Build-and-reproduce verification. The target is built and run in a no-network sandbox until the fault occurs; findings are graded on six evidence levels.
Find the flaws attackers find first, and prove each one before it’s reported.
Every file, function and call graph indexed and scored by risk across hundreds of repositories, so deep analysis is spent where faults are likely.
Data followed across function and file boundaries, the failure point named and the hypothesis recorded before verification. Binaries reverse-engineered where source is unavailable.
The target is built and executed on a specialized no-denial model, in a protected container, until the fault occurs. Findings graded on six evidence levels, from suspicion to validated patch; unreproduced findings labeled unverified.
Affected dependency versions built from CVE records and reproduced, the patched version confirmed safe, and the result emitted as VEX.
Plain-language workflows with deny-by-default permissions and per-severity approval gates. Findings delivered with file, line, CWE and grade into your ticketing and ASPM tools, fixes as patch files, repository never written to.
Option to run completely on prem, including no-token cost, no external data movement or API, no external model control.
Safely change the legacy code no one can touch, with every rewrite proven equivalent.
COBOL programs, copybooks, JCL, CICS, VSAM and Db2 definitions parsed into business rules, data flows, batch dependencies and undocumented exceptions before any code is written.
Fully atomized logic structure converted into code, program and system documentation.
Java generated from the reconstructed model rather than line by line from COBOL, to your style guide and frameworks, with no proprietary runtime.
Original programs replayed in a built-in COBOL emulator against the same scenarios as the generated Java, results compared including legacy quirks, with bidirectional traceability for sign-off.
Common to every practice area
Each value traces to a document, page and rule, so reviewers verify a result instead of taking it on trust.
On-premises, sovereign cloud or fully air-gapped, under your access controls, your retention policy and your audit log.
Benchmarks are built with the people who own the outcome, measured before release and monitored after every change.
Contact us
Pick a file, a claims queue or a repository you recognize. We benchmark Lazarus against your current approach and show the cost, accuracy and control difference against your own baseline.
