RegSig is a regulatory signal intelligence platform.
Scored signals and portfolio assessment make each product’s exposure and recommended review actions explicit.
- Regulatory updates arrive through many authorities, document types, and jurisdictions, so the same underlying change is hard to compare across sources.
- Teams must infer what matters for a given product set without a shared, repeatable object that carries provenance and scoring.
- Portfolio scale multiplies the work: one change rarely applies uniformly across products, categories, and markets.
- Executive review needs a short list of what to monitor, prepare for, or act on—not an unprioritized document queue.
- RegSig consolidates regulatory issues into signals: titled, summarized records with topic, origin, time horizon, impact and confidence scores, and linked evidence.
- A decision lens (Act / Prepare / Monitor) is derived from those scores and horizon so triage is explicit, not implied.
- Portfolio assessment maps signals to normalized product profiles and produces per-product exposure and recommended action types for review.
- The dashboard and signals explorer present prioritized signals and detailed rows for operators who need both an overview and line-level review.
Regulatory work is consolidated into discrete signals with stable identifiers, titles, and summaries tied to source documents, authorities, and jurisdictions.
Each signal carries topic classification, origin metadata, a time horizon, impact and confidence scores, and an evidence snapshot across linked actions.
After intake normalizes products (spreadsheet or PDF in the current product), assessment evaluates products against the signal set.
Actionable output
The platform surfaces recommended actions on signals, applies the Act / Prepare / Monitor lens, and aggregates assessment results into summary counts (e.g., accepted products, signals, high exposure, high-urgency actions) for dashboards and handoff to full portfolio assessment views.
Dashboard
What the user sees
A prioritized view of key signals, thematic grouping, and summary metrics derived from signal provenance and classification (e.g., source class, signal type, horizon bands).
What decision it supports
Which themes and items deserve attention first, and how the current signal set distributes across urgency and operational categories.
Signals
What a signal contains
Title, summary, topic, origin (source type, authority, jurisdiction), time horizon, impact and confidence scores, recommended action text, evidence snapshot across related actions, and a derived decision posture (Act / Prepare / Monitor).
What the user does with it
Read the consolidated change, inspect evidence breadth, compare scores and horizon, and route work using the recommended action and decision lens.
Portfolio intelligence
Normalized product profiles from intake are assessed against the signal set;
What decisions emerge
Where exposure is high or medium, which action types apply (e.g., claims, allergens, labeling), who should own the next step, and which products concentrate risk under a given signal or theme.
Upload portfolio inputs (spreadsheet or PDF in the current product), validate the session, and advance through parse, normalize, and ingest steps so products are available for assessment.
Source rows or extracted fields are mapped to a canonical product profile;
Issues and actions are consolidated into signals with scores, horizon, provenance, and summaries suitable for API and UI consumption.
Assessment joins the normalized product set to the signal set and produces review outputs—exposure, recommended actions, and narratives—for dashboard and detailed review.
Signal strength
Stated through impact and confidence scores plus the summary (including signal-strength decomposition where present), so reviewers see why a signal is rated as it is instead of relying on a single label.
Exposure drivers
In portfolio assessment, exposure level and the review narrative tie a product to concrete topic dimensions (e.g., claims, allergens, labeling) so “why this product” is answerable from the output.
Actionability
Recommended actions on signals and recommended action types with owner and urgency on assessment rows give a direct link from signal to workflow, with Act / Prepare / Monitor summarizing posture for triage.
Who RegSig is for
Operators
Run intake, confirm normalized products, execute portfolio assessment, and use dashboard and explorer views to prioritize signals and review lines.
Regulatory teams
Use signal records with origin and evidence to substantiate what changed, for whom, and on what horizon before committing review resources.
Portfolio managers
Compare concentration of exposure and high-urgency actions across products and signals to decide sequencing and ownership.
Evaluation readiness
- Signals are structured records with provenance, scores, and horizon—not unstructured document piles.
- Portfolio assessment runs against normalized product profiles from intake, with exposure and review lines per product–signal pair.
- Outputs are oriented to triage: dashboard summaries, signal detail, and assessment rows with recommended actions and ownership fields.
What RegSig is not
- Legal advice or a substitute for counsel.
- Regulatory filing or submission automation.
- A replacement for your organization’s own regulatory review and sign-off.
- A generic document repository unrelated to signals and portfolio assessment.
Request access if your organization needs structured regulatory signals tied to portfolio assessment and review-oriented outputs.
Requests are reviewed for fit and use case. Approved organizations receive onboarding steps for the platform environment. There is no implied instant self-serve trial unless separately confirmed.