AI Assistants and RAG Systems
Grounded assistants, portfolio copilots, internal knowledge bots, and lead-capture AI workflows.
Custom chatbot UX
RAG knowledge base
Streaming responses
Lead capture and analytics
Services
Practical AI product development for business use cases.
ZettaMetrics works best when the goal is clear: build a useful AI, EdTech, or data product that can be tested by real users and improved from real feedback.
AI MVP Development
Fast, polished product builds for founders who need a usable AI prototype or launch-ready v1.
Product scoping
Next.js frontend
FastAPI backend
Cloud deployment
EdTech Product Platforms
Learning systems with roles, assignments, scoring, dashboards, and adaptive product logic.
Student and admin flows
Curriculum tooling
Assessment engines
Progress analytics
Data Science and ML Consulting
Predictive models, analytics systems, PySpark pipelines, and dashboards that turn data into decisions.
ML model development
PySpark and Azure pipelines
Predictive analytics
Executive dashboards
Product proof
MathPath proves the studio can build operational software, not just demos.
It is a full-stack EdTech platform with protected assessment flows, role-based UX, backend validation, and product documentation.
Admin, teacher, and student roles
Assignments, MCQs, and attempt review
Server-side answer validation
Timed attempts and auto-submit flow
01
Scope the build
Define the user, workflow, constraints, and first useful release.
02
Ship the core
Build the interface, backend, AI/data feature, and deployment path.
03
Make it usable
Add documentation, analytics, handoff notes, and next-step roadmap.