Decision Planning Software
Review launches, pricing changes, and market plans before they go live.
SignalLoom helps product, strategy, and operations teams review important decisions before release. It gives teams a structured way to assess risk, stakeholder concerns, and next steps.
Product
Structured decision review for teams making important changes.
SignalLoom is built for practical planning. Instead of a generic text response, the product organizes a scenario into clear risks, stakeholder concerns, timelines, and action items.
Stakeholder Review
Review a decision from the perspective of customers, finance, operations, and other affected stakeholders.
Risk Mapping
Identify where trust, pricing, adoption, execution, or compliance issues are most likely to appear first.
Launch Planning
Prepare for the first days after launch with recommended communication, support, and escalation steps.
Reusable Analysis
Keep a structured record of each review so teams can revisit earlier decisions and compare scenarios.
How It Works
Common ways teams can use SignalLoom.
The product focuses on situations where a team needs a clear review before making a public or customer-facing change.
Product Launches
Review new products before the announcement, onboarding flow, or pricing page goes live.
Pricing Changes
Review how revenue teams, existing users, and the market may respond to pricing updates.
Incident Response
Prepare the first response to outages, trust issues, and compliance concerns before they escalate.
Workflow
From scenario to action plan in four steps.
Describe the plan
Enter the initiative, target audience, main concern, and review horizon.
Review the analysis
SignalLoom highlights likely risks, stakeholder concerns, and the overall readiness score.
Plan next steps
Use the recommended actions, evidence points, and timeline to decide what needs to change.
Save the result
Keep the analysis available in the browser so the team can reopen it later.
Analysis
Review a scenario
Enter the initiative, affected audience, and main concern. SignalLoom returns a readiness score, summary, key risks, stakeholder input, and recommended next steps.
Preview
Your analysis appears here.
SignalLoom will show a structured review of likely risks, stakeholder concerns, timeline expectations, and recommended actions.
Team
SignalLoom is being built by James Solomon and Ekene Nweke.
Signal Loom is focused on helping teams make better launch and operating decisions through structured review, clearer execution planning, and a solid technical foundation.
Founder, SignalLoom
James Solomon
I am building SignalLoom to help teams review important decisions before launch. The goal is to make planning clearer, coordination easier, and avoidable mistakes less likely.
CTO, SignalLoom
Ekene Nweke
I focus on building reliable product systems that make SignalLoom faster, clearer, and easier for teams to use in real decision workflows.
Founding TeamProduct, strategy, and engineering under one roof.
Signal Loom is being built by a small founding team focused on practical product execution, clear decision support, and a strong technical foundation.
James Solomon is the founder of Signal Loom. He leads product strategy, application development, and the broader direction of SignalLoom as the company builds a practical decision-review workflow for launches, pricing changes, and market expansion plans.
Ekene Nweke is the CTO of Signal Loom. He helps shape the product's technical architecture and engineering execution as SignalLoom develops its AI-assisted decision-review platform.
Company
Company details, contact information, and current traction.
This section gives reviewers and partners the core details they need: who is building the company, how to reach it, and what progress has already been made.
13 Maskara Street, Onuiyi Road, Nsukka
NVIDIA Inception
Signal Loom has been accepted into the NVIDIA Inception startup program.
Independent product build
The product, website, and application workflow are being built directly in-house by the founding team.
Working web product
SignalLoom already includes a working browser-based workflow with structured output for scenario review.
Security
Current product handling and planned security improvements.
SignalLoom is still early-stage. These pages explain what the product stores today and what controls are planned next.
Intentional Inputs
SignalLoom asks for the initiative, audience, main concern, and time horizon needed to generate a scenario review.
Structured Outputs
The product returns a consistent result with a readiness score, summary, risk list, stakeholder input, and action steps.
Local Recent History
Recent analyses are stored in the browser so users can reopen previous results without a full account system.
Live AI With Fallback
Deployments can run live model-backed generation, and the app falls back to a local engine when the live service is unavailable.
FAQ
Key questions about the product.
What is SignalLoom?
SignalLoom is a decision-planning product for founders, product teams, strategy leads, and operators. It helps teams review launches, pricing changes, expansions, and response plans before they go live.
What does the product return?
Each run generates a readiness score, a summary, key risks, stakeholder perspectives, recommended reviews, evidence points, and a checklist a team can act on immediately.
Does SignalLoom require installation?
No. SignalLoom is a browser-based web product. Teams can open the app, enter a scenario, and generate a review directly in the interface.
How is data handled in the current product?
In the current version, recent analyses are stored locally in the browser for convenience. When live AI generation is enabled on a deployment, scenario inputs may be sent to the configured model provider to produce the output.
Who is building SignalLoom?
SignalLoom is being built by James Solomon, the founder of Signal Loom, together with Ekene Nweke, who serves as CTO.
What traction does Signal Loom have today?
Signal Loom has been accepted into the NVIDIA Inception program and already has a working browser-based product with a functioning scenario review workflow and supporting company pages.
Try the Product
Start with one decision and review it clearly.
Open the product workspace and review a launch, pricing change, or market expansion plan before it goes live.