Nexus Core
Tenant workspaces, identity, roles, subscriptions and audit.
TechYard Solutions / Product direction
One platform. Flexible modules. Intelligent growth.
TechYard Nexus is a modular SaaS product family in development. It is designed to help organizations connect learning, workforce, AI and operations in isolated workspaces.
In development · Modules and commercial availability will follow phased validation.
The product idea
Start with a connected result.
Many organizations already have a learning platform, assessment tool, AI service and spreadsheet. The challenge is keeping the people, permissions, activities and results aligned across them.
Nexus is planned as a shared core with optional modules. A training organization could start with a focused learning or practice reporting workflow, then add other capabilities when the use case and operating model justify them. The first pilot is still subject to buyer discovery, data-handling agreement and acceptance testing.
Approved product family
Modules, delivered in phases.
Every module below belongs to the approved Nexus vision. Listing a module describes planned scope, not a claim that it is available to buy today.
Nexus Learning
Courses, paths, SCORM, assignments and completion.
Nexus Assess
Question banks, attempts, rules, results and skill gaps.
Nexus AI Hub
Approved providers, routing, evaluation, usage and cost.
Nexus AI Coach
Scenarios, practice, scoring, feedback and reporting.
Nexus Analytics
Learning, operational, AI and executive views.
Nexus People
Workforce records, onboarding, attendance and movement.
Nexus Projects
Clients, tasks, deliverables, expenses and approvals.
Nexus Automate
Events, approvals, notifications and integration runs.
Nexus Payroll
A later phase requiring statutory and financial controls.
First pilot hypothesis
Practice or course completion to a trainer-ready report.
The first workflow under consideration would connect a trusted learner and attempt reference with completion, result status, trainer review and an agreed export. AI scoring is optional in the initial pilot.
This is a discovery hypothesis based on Mahipal’s experience, not evidence of customer demand or a released feature. A pilot will be selected only after repeated buyer evidence, a design partner, measurable acceptance criteria and cost and privacy checks.
- 01Learner or LMS launch
Establish identity and the activity context.
- 02Attempt and result
Record completion, feedback and status against the right attempt.
- 03Trainer review
Allow an authorized reviewer to resolve the result.
- 04Report or export
Produce a clear record in agreed fields.
Design principles
Built to be operated, not only demonstrated.
The architecture plan treats isolation, permissions and traceability as product foundations.
Separate organizations
Tenant-owned information is designed to remain within its authenticated organization context.
Controlled access
Roles, active products and features govern what a user can see and do.
Traceable actions
Relevant changes, provider activity and background work need an auditable record.
Human review
Consequential AI outputs need defined quality checks and appropriate reviewer involvement.
Buyer discovery
Does this reflect a problem you face?
We are interested in concrete learning, assessment and reporting handoffs. A useful conversation begins with the current workflow, the people affected and the result you need.