The platform

The trust layer that lets you put AI on work that matters.

A patent-pending governance and assurance layer between your team and the AI. Source-grounded drafts, mandatory human sign-off, an auditable record of every decision. Built so acceleration never costs you accountability.

The governed pipeline, in motion — upload, AI-drafted and source-grounded, then human sign-off before anything reaches a deliverable.

The pipeline

A governed pipeline, not a chat window.

Synalogic builds trust into AI itself. Any task that generates outputs — an audit, a recovery, an investigation — runs as a defined workflow, and every step moves through the same three stages. Speed and a defensible record come from the same architecture.

01

Define & upload

Choose the workflow for the task — the defined sequence of steps the work requires — and upload the evidence it draws on. The platform relies on your controlled material to reduce the risk of hallucination.

Inputs known, attributable and bounded.

02

Accelerate, grounded

Each step runs on prompts purpose-built to accelerate it, grounded in your evidence. The AI does the heavy lifting; every output stays anchored to the source it came from — without drifting from the facts.

Grounded in your evidence, so outputs stay tied to material you control.

03

Validate & assemble

Our proprietary human-in-the-loop review is mandatory — approve, edit or reject. Final outputs are assembled only from the grounded, approved results of earlier steps, so nothing unchecked reaches a deliverable.

No output reaches a deliverable without a documented human decision.

Fewer hallucinations. Token-efficient. The human in control. No black box — visibility, transparency and an audit trail from upload to output.

A note on the IP. The platform's patent-pending method is how it keeps every AI output grounded in your evidence and enforces human validation before anything reaches a deliverable. We describe it on the website by what it guarantees, not how it works. We're happy to go deeper under NDA.

Where the time goes

Speed comes from three places.

The work doesn't get faster because the AI is fast. It gets faster because every step that used to be manual is now structured.

Evidence gathering

From days to instant.

Retrieval is the platform's job. Your team's time goes into deciding what the evidence means — not into finding it and stacking it up.

Drafting

From blank page to validated start.

AI drafts findings with severity, recommendation and citations. Your reviewer starts with a structured baseline, not a cold-start question.

Report writing

From compilation to review.

Validated findings flow into the report. Days of formatting and cross-referencing collapse into hours of final review.

What the platform enforces

Accountability is architectural, not optional.

These aren't settings a user can switch off. They're properties of the platform itself.

Enforced audit trail

Every AI output and human decision logged against the artefact, with the user, the time and the action.

Mandatory human sign-off

No finding is filed without a documented decision. The reviewer is the moment of accountability.

Source traceability

Patent-pending citation links every claim to the specific evidence chunk it relied on.

Single artefact, validated

Not a copilot, not autopilot. Each AI output is a single artefact with full provenance — and cannot reach a deliverable without validation.

FAQ

Common questions.

Why does AI need governance on high-stakes work?

The risk is already measurable. EY's February 2026 Technology Pulse Poll found 45% of tech leaders reported a confirmed or suspected data leak from unauthorised AI tools in the past year, and 52% of department-level AI initiatives run without formal approval or oversight. The KPMG & University of Melbourne Trust in AI 2025 study found 66% of people rely on AI output at work without evaluating its accuracy. Synalogic closes that gap — governance is built into every step, not bolted on.

How does Synalogic keep AI outputs defensible?

Every task runs through a governed pipeline: the platform retrieves from your verified sources, AI drafts with each statement attributed to its source, outputs enter a mandatory human review queue, and the decision, evidence and sign-off are kept in a durable record.

Does it lock us into one AI model?

No. The governance layer is model-agnostic and independent of any one AI model, so you are never locked in.

Where and how is the platform hosted?

We build, host and run it in Google Cloud as a dedicated, single-tenant service, with in-country data residency and built to ISO 27001. It is our IP; there is no code handover.

Can it handle large, constantly changing data populations?

Yes. Keeping human review rigorous and efficient across large, shifting populations is the core of our patent-pending method. We describe it here by what it guarantees and are happy to go deeper under NDA.

Bring a workflow that's too important to get wrong.

We'll walk your team through how the platform accelerates it while keeping every decision defensible — on real evidence, in fifteen minutes.

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