AI Lab
Exploring the Next Generation of Intelligent Systems
Experiments and research previews from the Prakura AI team. Status labels show exactly where each idea stands.
Experiments
10 experiments
- Status: Prototype
Agentic AI
Agentic AI
Goal-driven agents that plan steps and request approval.
- Use case:
- Build a weekly study plan and adjust it as scores change.
- Related product:
- Prakura AI
- Status: Demo
Multi-Agent Systems
Multi-Agent Systems
Specialised agents collaborating on one goal.
- Use case:
- Career → Learning → Coding → Interview → Placement plan.
- Related product:
- Prakura AI
- Status: Research
Enterprise RAG
Enterprise RAG
Grounded answers from organisation knowledge with citations.
- Use case:
- Answer policy questions with source links.
- Related product:
- Prakura360 HRMS
- Status: Research
MCP
MCP
Model Context Protocol for safe, standard tool access.
- Use case:
- Let agents read course catalogues through approved tools.
- Related product:
- Prakura AI
- Status: Prototype
AI Testing
AI Testing
Test generation and failure analysis.
- Use case:
- Generate login scenarios and Playwright skeletons.
- Related product:
- Code Engine
- Status: Demo
AI Learning
AI Learning
Adaptive learning paths by mastery.
- Use case:
- Manual QA → Automation Engineer in 18 weeks.
- Related product:
- Prakura360 LMS
- Status: Demo
AI Interviews
AI Interviews
Mock interviews with rubric-based feedback.
- Use case:
- Practise Playwright interview questions.
- Related product:
- Placement Engine
- Status: Demo
Workforce Intelligence
Workforce Intelligence
Natural-language questions over dashboards.
- Use case:
- “Which learning programs are underused?”
- Related product:
- Prakura360 HRMS
- Status: Planned
Responsible AI
Responsible AI Tooling
Evaluation, transparency and human oversight tooling.
- Use case:
- Bias checks and review queues for placement AI.
- Related product:
- All products
- Status: Research
AI Evaluation
AI Evaluation Harness
Golden sets and rubric scoring to compare model behaviour before release.
- Use case:
- Score Learning Advisor answers for accuracy and grounding.
- Related product:
- Prakura AI
Research timeline
Where we are, and where we're exploring next. Later stages are research directions, not shipped features.
Step 1
AI Assistants
Interactive demos on this site
DemoStep 2
RAG
Grounded answers with sources
PrototypeStep 3
AI Agents
Task agents with approvals
PrototypeStep 4
Multi-Agent Systems
Agents collaborating on a goal
ResearchStep 5
Enterprise AI
Governed AI across products
ResearchStep 6
Autonomous Workflows
Longer-running workflows with human checkpoints
Planned