Cassandra for Government & Regulated Environments
A reasoning and verification workspace designed for document-heavy, audit-sensitive work — built to make machine-assisted analysis inspectable and easier to validate.
Overview
Cassandra is a reasoning and verification platform for teams who need to understand, trace, and validate conclusions derived from complex document collections.
Cassandra is not a black-box AI assistant. It is designed to make machine-assisted analysis inspectable, auditable, and accountable.
What Cassandra Is (and Is Not)
Cassandra is designed to support oversight, not obscure it.
- A document reasoning workspace with evidence-linked outputs
- A system that makes LLM analysis traceable and verifiable
- A tool that supports human review rather than replacing judgment
- Not an autonomous decision-making system
- Not a chat interface that produces unverifiable answers
Traceability & Auditability
Cassandra is built around the principle that every claim should be inspectable.
- Claim-to-evidence mapping with direct links to source passages
- Exact citation resolution (jump to the precise sentence or paragraph)
- Inspectable reasoning paths showing how an answer was formed
- Question-specific subgraphs (“Constellations”) that expose only the evidence used
This supports fast verification, early error detection, and defensible analytic outputs without rereading entire document sets.
Model Usage & LLM Transparency
Government teams often cite model opacity as a primary risk. Cassandra addresses this directly.
Cassandra is LLM-agnostic and can integrate commercial models, government-approved models, or locally hosted models — including in air-gapped environments.
- LLMs treated as fallible components, not authorities
- Constraints and evidence requirements
- Confidence signaling to prioritize verification
- Human-verifiable audit trails and provenance
This allows teams to benefit from language models without accepting black-box behavior.
Deployment & Security Posture
Cassandra is designed with regulated and sensitive environments in mind.
- Designed for on-prem, private cloud, or air-gapped deployment
- Encryption at rest and in transit
- Clear boundaries around data flow and model interaction
- Designed to align with common cybersecurity practices in regulated environments
We intentionally avoid overclaiming certifications on the website; we support security reviews and technical evaluations during engagement.
Procurement & Vendor Information
- Legaché, Inc. is registered and active in SAM.gov
- A valid CAGE code is on file
- Available for pilots, technical evaluations, and proof-of-concept engagements
We’re happy to support procurement workflows, security reviews, and evaluator walkthroughs.
Typical Engagement Model
Engagements are tailored, but pilots commonly include:
- A scoped document set and success criteria
- Configuration of domain terminology and constraints
- Demonstration of traceability and verification workflows
- Feedback and evaluation support
Cassandra is designed to be evaluated incrementally and safely.