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Digital Thread

One Requirement.
Every System It Touches.

Digital Thread, a capability of Samya Nexus AI, traces a single requirement, issue, or test across every connected system — Jira, Jama, and beyond — so you always see its full lifecycle in one place, in plain language.

Digital Thread tracing a requirement across connected systems
The Problem

A Requirement's Story Is Scattered Across Tools

A single requirement can touch a dozen systems over its lifetime. Reconstructing its full history today means opening each of those tools and piecing the story together by hand — a problem that gets sharper wherever traceability needs are high, engineering change is constant, and compliance is non-negotiable.

Scattered Systems

Requirements, issues, and test cases each live in their own tool, with no single view that ties them together.

Slow Manual Lookups

Answering "what's the status of this requirement, end to end?" can mean logging into several platforms and re-running the same search in each.

Manual Stitching

Connecting the dots across systems is left to whoever asked the question — slow, repetitive, and easy to get wrong.

Digital Thread assembles the full lifecycle automatically — ask once, get the whole story.

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How It Works

From Question to a Traced Thread in Seconds

Digital Thread runs on Nexus AI's two-stage engine — one layer that thinks, one layer that acts.

1

You Ask a Question in Plain Language

Type naturally — "Show me all requirements related to cabin pressure and their linked issues" or "What's the current status of the authentication workflow?" No special syntax, no query language required.

2

The AI Planner Builds a Search Strategy

Nexus AI's planner interprets your intent and decides which connected systems to search and in what order — so you never need to know where the data actually lives.

3

The Execution Engine Queries Your Systems

Each connected tool is queried automatically. Results from earlier steps are fed into later ones, so you get connected, contextual answers — and if one stage is slow or unavailable, the rest of the workflow keeps running and tells you exactly what was missed.

4

You Receive a Unified, Traceable Thread

Instead of raw dumps from separate tools, you get one coherent, traceable response that threads together information across your connected systems — your Digital Thread, assembled automatically.

What You Get

Traceability Built for Enterprise Complexity

Digital Thread gives you visibility across PLM, QMS, ALM, and release evidence — it's not a replacement for the systems you already run, just the missing connective layer between them.

Natural Language Queries

Ask questions the way you'd ask a colleague. The AI interprets intent — not just keywords — and routes your query to the right systems.

Cross-System Chaining

Results from one tool automatically inform searches in the next — for example, surfacing issues linked to a specific requirement in a single query.

Digital Thread Construction

Trace the full lifecycle of a requirement or issue across every connected system — assembled automatically, with full traceability.

Fault-Tolerant Execution

If one system is slow or unavailable, Digital Thread continues working with what's available and clearly flags what could not be retrieved — no silent failures.

Full Observability

Every query can be inspected step-by-step — what was searched, what was found, and how results were combined — giving your team complete execution transparency.

Configurable Workflows

Build and edit multi-stage workflows visually — chain connectors together, map fields between systems, and adjust the pipeline as your tool landscape changes.

Integrations

Traces Across the Tools You Already Use

Digital Thread works with your existing enterprise stack — no rip-and-replace, no migration projects. Live connectors today, with a broad set of product, quality, test, source-control, and operations systems on the roadmap. Rollout order adapts to how your team already works — some start with product definition, others start with test and source control.

Jira ALM Jama Connect Requirements TestRail Test GitHub Repo GitLab Repo Siemens Teamcenter SOON PLM SAP S/4HANA SOON ERP Siemens Opcenter SOON MES PTC Windchill SOON PLMMasterControl SOON Quality ETQ Reliance SOON QualityAzure Repos SOON Repo Bitbucket SOON RepoOracle Fusion Cloud ERP SOON ERP Microsoft Dynamics 365 SOON ERPRockwell FactoryTalk SOON MES Plex MES SOON MES
What's Coming

Traceability Gets Richer Over Time

Digital Thread inherits the full Nexus AI roadmap, plus capability-specific improvements below.

In Progress

First Release Scope

One PLM connector, Jira, TestRail, one repository or CI system, and one ERP or MES read-only connector for release context — positioned as digital-thread visibility across your existing PLM, QMS, and ALM systems, not a replacement for any of them.

Planned

Visual Traceability Graph

See the full Digital Thread visually — a living graph that maps how requirements connect to issues, tests, and deployments.

In Progress

Self-Learning from Usage

The AI Planner will learn from past queries and results, improving routing accuracy and search quality over time.

Planned

Intelligent Ranking & Scoring

Results ranked by relevance, recency, and business impact — not just keyword match.

Self-Hosted. Your Infrastructure. Your Control.

Digital Thread runs entirely within your own environment — on-premises or in your private cloud. No data is sent to external AI providers or third-party servers, so your requirements, issues, and records stay exactly where you need them to.

On-Prem Deployment No External Data Sharing Full Data Ownership
Get Started

Ready to Trace Your Requirements End to End?

See Digital Thread in action with a live demo tailored to your existing tool landscape.