Answers you can verify: with evidence you can inspect.

Cassandra is a reasoning workspace for document-heavy work. We use LLMs in careful, constrained ways and make the analysis traceable: claims link back to sources, confidence is surfaced, and you can audit how an answer was formed. It’s not about sounding right — it’s about helping you check what’s true.

  • 1-click citation verification to the exact source passage
  • LLM-agnostic reasoning layer (swap models without changing workflows)
  • Question-specific Constellations from a shared workspace

Why Cassandra

Reasoning‑First

Traceable reasoning

Outputs link back to sources so you can follow the path: answer → claims → evidence. Verification is part of the workflow, not an afterthought.

Domain Adaptors

Teach Cassandra your acronyms, entities, and domain rules. Adaptors help maintain consistency across documents and reduce misinterpretation in specialized domains.

Workspaces & Constellations

Organize related documents in a workspace, then generate Constellations — focused subgraphs shaped by your question, showing only the structure that matters.

TruthScore™ (in progress)

We surface confidence and evidence strength to help prioritize verification. Citation verification is live today; TruthScore UI is in active development.

Guardrails for fallible models

LLMs are used in precise doses with constraints, detection, and auditability. Cassandra’s value is the system around the model: structure, provenance, and control.

We live in a digital age — without digital understanding.

  • Most systems still mimic filing cabinets: folders, silos, and static schemas that don’t explain how conclusions were reached.
  • As documents evolve and contexts shift, teams lose time re-reading, re-deriving, and re-arguing the same facts.
  • Information is abundant, but the reasoning that connects it is hard to see — and harder to audit.

Cassandra is built for teams who need faster interpretation without losing the ability to verify.

Progress is earned — and so is trust.

Large language models are powerful, but they are not infallible. Cassandra treats them as components — and builds the guardrails, provenance, and audit trails that real work requires.

We build for researchers, analysts, engineers, and operators who need to trace how an answer was produced and validate it quickly.

Our goal is to reduce the cost of verification. When the system is right, you can see why. When it’s wrong, you can catch it early — without rereading an entire document set.

For Government & Enterprise

  • Make document-driven decisions more auditable with evidence-linked outputs and traceable reasoning paths.
  • Deploy in sensitive environments: cloud, on-prem, or air-gapped, with encryption and audit trails.
  • Reduce rework by turning institutional knowledge into reusable structure rather than static reports.

For Startups & Small Teams

  • Move faster without losing rigor: ask questions, verify evidence, and share reasoning in minutes.
  • Reuse cognition across projects with domain adaptors and shared workspaces.
  • Replace search-and-skim workflows with traceable answers and quick checks.

See how answers are formed

Cassandra builds a living structure from your documents, then shows the specific subgraph used to answer a question.

Trace evidence, inspect connections, and validate claims quickly. The goal isn’t blind trust — it’s easier verification.

Security & Trust

  • Air-gap capable deployments
  • Encryption at every layer
  • Auditable reasoning trails
  • Cloud or on-prem

Designed for environments where decisions are scrutinized and evidence matters. Traceability is a core feature, not an add-on.

FAQ

Quick answers to the most common questions about Cassandra — hallucinations, auditability, and how we stay evidence-first.

View FAQ

Experience the first reasoning platform

The demo is just the beginning. Cassandra is learning, evolving, and expanding — built on a foundation that will power every intelligent system we create next.

Go to Platform

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