The governed memory engine.
SAGE is Loriq's flagship: a neurosymbolic memory engine that gives every AI tool and agent you run one governed, source-traced, contradiction-checked memory of your business. Built for teams that have to prove their answers.
Run one copilot or a hundred workflows, on one memory.
Point five tools at SAGE and none of them ever talk to each other. Your intake chatbot doesn't know your rostering copilot exists. Your compliance assistant has never heard of your incident-reporting workflow. What they share isn't a conversation between them. It's the memory each one draws from. Every tool asks its own question, gets an answer built from the same governed source, and moves on. The coordination isn't real-time; it's cumulative. What one tool's question resolves becomes memory the next tool inherits, the next time it asks, not the moment the first one finishes.
Say your rostering copilot asks for the current minimum-staffing ratio for a night shift, and your document estate holds two candidates: a figure from last year's operations manual, and a revised figure from a policy update issued since. SAGE doesn't average them, and it doesn't guess. It weighs three things: lineage (which document the number actually originates from), supersession (does one explicitly replace the other, and when), and authority (which source carries the sign-off that governs this policy). When it lines up cleanly, a newer document that names itself as the update, issued by whoever owns the policy, SAGE resolves it on the spot and logs exactly how: what conflicted, what won, and why. The rostering copilot gets the new ratio, with the reasoning attached.
When it doesn't line up, two documents both claiming to be current, neither explicitly superseding the other, SAGE doesn't pick a side. It holds the conflict open, marks it as unresolved in memory, and puts the decision in front of a person who can actually make the call, with both sources sitting side by side. That person isn't ruling for one workflow. They're ruling for the policy. The moment they decide, every tool connected to SAGE inherits that ruling the next time it asks, the compliance chatbot, the incident-reporting workflow, whatever new copilot gets plugged in next quarter. Decide once. The whole fleet inherits it.
Agent-memory tools remember conversations. SAGE remembers the business, with contradictions surfaced to humans before AI acts on them.
How SAGE Works
Not a database with a search box in front of it. A layer every request passes through on the way out to your tools, and every answer passes back through, on the way into memory.
(documents, databases, repositories)
SAGE
Semantic, structural and symbolic memory engines
(Copilots, Agents, Chatbots)
Enterprise data. Connect ingests it continuously. Every fact is tagged with its source, its version, and the moment it landed, before anything is memorised, not after.
SAGE.Three passes run on every question, concurrently. A semantic pass matches meaning even when the wording doesn't. A structural pass maps how the relevant policies, documents and teams relate to each other: which supersedes which, which belongs to which facility, which decision depends on which upstream fact. A symbolic pass checks the rules that have to hold regardless of phrasing: thresholds, sign-off hierarchies, the logic sitting under the words. Guard narrows that pool to what the requester is actually permitted to see, before anything else runs. Eval checks what's left for conflicts. A tool asking about a policy today gets today's approved version. SAGE won't hand it context that contradicts what's currently in force, even if an older document is still sitting somewhere in the estate.
AI applications.Context arrives inside the request itself: already merged, already checked, already sourced. The tool isn't handed a pile of documents to sort through; it's handed the answer, with the reasoning attached.
And what comes back (a task completed, a conflict a human just ruled on) becomes memory too. The next tool that asks starts from where the last one left off, not from zero.
Six modules. One governed memory.
Core
Where the three memory types stop being separate systems and become one answer. Ask a question and three passes run at once (semantic, structural, symbolic), each surfacing what it's built to find. Core merges what comes back, strips the duplicates, ranks what's left by relevance and authority, and hands the tool a single context window: already resolved, already checked, arriving inside the request itself rather than as a set of documents to sort through.
Proxy
Why adoption doesn't start with a migration project. Your tool is already calling a model through a standard chat-completion API; point that same call at SAGE instead, and nothing else in your stack changes: same request shape, same response shape, same SDK. What's different happens in between. SAGE reads the request, folds in the context Core, Guard and Eval have already agreed on, and passes the completion back through untouched.
Connect
Unified ingestion for your enterprise knowledge: documents, databases, file systems, S3, REST APIs and git repositories, kept current, with full lineage from the moment it lands.
Trace
Full provenance. Every piece of memory links to its source document and version, so any answer can be audited end to end.
Guard
Sits ahead of every question, filtering not what's true but who's allowed to know it. Before Core assembles anything, Guard narrows the eligible pool of sources down to what the requesting user, or the tool acting on their behalf, is actually permitted to see. The filter runs at assembly, before a single token of context is built, not as a review layer bolted onto an answer that already exists.
Eval
The module that goes looking for trouble on purpose. It runs continuously over what's in memory, not only at query time, checking every new or changed fact against everything already held. Where a conflict has a clean answer (lineage, supersession and authority all pointing the same way), Eval resolves it and logs the resolution: what conflicted, what won, and why. Where the answer genuinely isn't clean, Eval doesn't pick a side. It holds the conflict open and puts it in front of a person to decide.
Runs where your data lives.
Your infrastructure, not ours
SAGE deploys entirely inside your environment: your cloud account or your own data centre, fully self-hosted. Your knowledge never leaves your control.
Works with what you have
An OpenAI-compatible endpoint, a REST API, and MCP support for IDEs and agent frameworks. Your tools keep the integrations they already have; SAGE sits underneath.
Governed by default
Permission-aware retrieval, full audit logging of every AI interaction, and human review of escalated conflicts. See our trust posture.
SAGE Studio
When SAGE escalates a contradiction, your team resolves it in Studio: a focused review queue with the conflicting sources side by side. Decide once; every connected AI tool inherits the answer.
Yes, temporary contractors are fully covered under Section 4.2 of the updated Enterprise Policy.[1] However, local HR guidelines state they require a 30-day waiting period.[2]
The questions we always get.
“Isn't this just retrieval?”
Retrieval fetches documents, including the stale ones and the ones that contradict each other. Grounding AI in a corpus that disagrees with itself produces confident wrong answers with citations. SAGE governs what the memory holds before any tool uses it: contradictions surfaced to humans, versions current, permissions enforced, every answer traced.
“Is this another AI to govern?”
No. SAGE is not an AI. It's the memory under the AI you already bought. It adds nothing new to supervise; it makes what you already supervise defensible.
“Couldn't our copilot vendor add this?”
A copilot vendor can ground its own copilot. It can't be the shared, neutral memory for every tool you run, and it won't deploy entirely inside your infrastructure with your policies governing it.
Shape SAGE against your own policies.
We're taking a small number of early design partners: a structured pilot in your infrastructure, on your documents, with acceptance criteria you set.
Book an intro call