The platform
Context graph infrastructure. Built for accountability, not just capability.
Most AI infrastructure treats accountability as an output: citations bolted on, audit logs appended. Andromeda treats it as an input. The context layer is encoded before the model operates.
Five layers. One architecture.
01
Data connectivity
Your data stays where it lives. Connect to existing sources like SharePoint, S3, SAP, Jira, databases, and REST APIs without migration or duplication.
02
This is where other platforms stop.
Domain intelligence
Andromeda extracts entities, relationships, and domain rules specific to your operation and encodes them as a structured ontology. Not a general schema. A precise map of how your domain actually works.
03
Core platform
The context graph engine. Ingestion, entity extraction, relationship modeling, graph construction, retrieval, and audit. Open, swappable infrastructure throughout. No vendor lock-in.
04
AI / LLM services
LLMs in Andromeda don't get general knowledge. They get your knowledge: structured, verified, and scoped to your domain. Model-agnostic. Swap LLMs without re-engineering the context layer.
05
Workflow surfaces
Chat, structured query, workflow-embedded, API, and agentic orchestration. Human users in production today. Agent-ready as that capability matures, grounded in the same verified context graph.
RAG retrieves. Andromeda reasons.
A context graph built for capability gets you impressive demos. One built for accountability gets you production deployments in regulated environments.
Proof is built in, not bolted on.
Andromeda ships with a built-in evaluation framework that runs at every stage of the build, not as a check at the end.
You know the context layer is working before it touches production. And you can prove it to the people who need to sign off.
Before the build
SME validation
Expert-verified ground truth, established before anything runs
During the build
Accuracy scoring
A multi-dimensional rubric, not pass/fail
Before deployment
Adversarial testing
Red-team your own domain before a user can
After deployment
Regression gating
Rebuilt graphs re-answer a frozen question set before shipping
Read the architecture. Then test it.
Bring the question your current tooling gets wrong. We'll run the session against your documentation and show the full chain from question to source.