Build interactive data apps from reusable code bricks.
Be in Control!

the problem
AI code generation has gone decentralized: business users and teams ship code straight from LLMs, bypassing IT. What's left behind is a sprawl of generated code that no one owns, governs or can verify.
Teams rebuild logic that already exists — or reinvent infrastructure that should stay centralized — so token spend compounds with every prompt.
Each app adds thousands of lines of generated code with no reuse — hard to test, maintain, evolve or integrate.
Large amounts of generated code are hard to understand, test or audit — unverifiable by IT, and a compliance risk.
positioning
AI’s critical risks concentrate in one tier — the mid-latency compute layer, where business users build task-specific deterministic interactive apps. Both options force a trade-off: incumbents trade flexibility for control; AI-generated apps trade control for flexibility.
| Low latency | sub-second headless | |
| Chat / Agents | Free-form, conversational, autonomous — non-deterministic | |
| UI/Visualization | Incumbents Deterministic Streamlit · Replit · BI · Dev Team Apps · Excel · Jupyter | AI-generated Semi-deterministic microQuant Governed · deterministic |
| Mid-Latency Compute | ||
| Services | value added shared services | |
| Data store | Data lake / warehouse | |
| High-latency workflows | Batch/ETL data processing pipelines | |
the solution
Code bricks make both your existing code and the new logic AI generates easy to discover and reuse — so you assemble more and code less.
Python · Excel · Jupyter you already run.
Grow a firmwide library — wrapped, tested, versioned, governed.
Only new core business logic — the gaps between reused bricks.
Assembled, multi-user, enterprise-grade.
how it works
Wire bricks and generate code with AI — or by hand — for maximum transparency and flexibility, then publish the same app to desktop and mobile.
Wrap existing Python, Excel and Jupyter into modular bricks. New logic: AI-generated or hand-written.
Wire bricks, inputs and charts — auto-wired by AI or connected by hand.
Autopilot cloud handles performance, security, entitlements and audit — desktop and mobile.

the outcome
Scattered spreadsheets, notebooks and mini-apps become one secure, branded portal of interactive apps — each assembled from reusable code bricks.

why it matters
AI writes only the new core logic a task needs — never the UI, back end or infrastructure. Generate it once, wrap it as a code brick, and reuse it across every app and team — so you stop paying to regenerate what you already own.
Verifiable by your IT team — auditable at the code and runtime-workflow level. No black boxes; every component is understandable, so debugging, testing and extension stay simple.
Multi-app, multi-producer, multi-consumer architecture — deployed to internal or external users, with granular entitlements, full audit trails and automatic scaling.
future proof
The one certainty in enterprise software is change. microQuant is built to outlast it — so the apps you ship today keep running, on your terms, tomorrow.
Pure, standard Python. The full IP of generated code stays yours and runs anywhere — on or off microQuant.
Use any Python library — external (PyPI) or your own internal modules — to build custom runtime environments.
You choose the AI engine: any LLM, including offline and private models for data security.
SaaS with VPC, hybrid, or full on-premise — matched to your compliance needs.
who it's for
Especially multi-producer, multi-consumer environments managing 10+ apps, hitting high AI-token costs, or modernizing legacy spreadsheets and notebooks.
A short portfolio review surfaces where reuse and cost savings start immediately — then a scoped pilot on your own apps.
Book a demo