Designing ultra-lean, AI-first companies from scratch.
We treat company building as system design: minimize headcount, capital lock-in, and organizational waste — using AI-first operations and Estonia’s digital infrastructure.
Built for clarity and independence. Shipped as open research, tools, and dashboards.
News
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Dec 2025 — Updated the Kantian stability & miscalibration preprint (arXiv replacement accepted; scheduled: 2025-12-16 10:00 JST)
Company Design Vision — Ultra-lean by construction
Our core mission is to design companies that stay small by design: minimizing headcount, capital lock-in, and organizational drag. Research and tools below serve as proof points of this operating philosophy.
As proof of this approach, we apply boundary-first, feedback-based evaluation to contain hallucination and maintain calibrated confidence. This principle underpins AuditLoop.
Note (Dec 2025): an arXiv replacement has been accepted and is scheduled to be announced on 2025-12-16 10:00 JST. The latest archived release is always available via the Zenodo concept DOI.
AuditLoop — Stability & Governance for LLMs
We commercialize a reliability & governance layer for LLM applications: closed-loop evaluation and optimization with audit-ready reports, mapped to the EU AI Act, ISO/IEC 42001, and the NIST AI RMF.
A. Reliability & Governance SaaS
Automatically measures ECE/Brier/PSI, LoopGain and variance shrinkage, citation consistency, and justified refusal F1 — feeding dashboards and audit reports.
Value: provides audit-ready evidence aligned with the EU AI Act (transparency, evaluation, record-keeping), ISO/IEC 42001, and the NIST AI RMF.
B. Closed-loop Optimization Middleware
Auto-corrects production inference via a Prompt-Critique-Revision loop. Maintains token-budget parity while reducing hallucinations and dispersion.
Value: stabilizes quality KPIs (variance shrinkage) while keeping cost overruns in check.
C. Benchmarks & Conformity Reports
Assigns “stability scores” for RAG/FAQ/procedural workloads. Delivers PDF/JSON reports usable for procurement and audits. Supports RAG evaluation (RAGAS-style metrics).
Why now (external demand)
- EU AI Act: GPAI transparency obligations by ~Aug 2025; high-risk phases roll out through 2026. Strong demand for evaluation, logging, and accountability.
- ISO/IEC 42001: AI management systems standard is live. Requires operating processes and evidence.
- NIST AI RMF: Measurement-centric risk management is formalized — strong fit for an evaluation SaaS.
Proof — Research & Tools
Selected research and tools that serve as proof artifacts of our ultra-lean, AI-first company design.
Theme 1 — AI reliability & Kantian feedback
Our current paper reports preliminary results. Next we extend to larger-scale experiments (multi-provider RAG, calibration drift, closed-loop stability under budget constraints) using Colab-based, reproducible runs.
Theme 2 — Thermo-credit (QTC) economic theory
We develop and test a thermodynamic analogy for credit, liquidity, and monetary aggregates (QTC). This strand remains exploratory and is documented separately for clarity.
Artifacts — Open Proof & Implementations
AuditLoop — Vendor-neutral evaluation & reliability layer
Independent evaluation and reliability layer for LLM systems, serving as a proof artifact of our ultra-lean, AI-first company design philosophy.
Thermo-Credit Monitor (QTC)
Public monthly indicators modeling credit dynamics via a thermodynamic analogy: S_M = k · M_in · H(q), T_L, loop dissipation (PLD), and X_C. Interactive charts with PNG fallbacks.
Applications (Case Studies)
Case Study: Identity-Neutral Matching (Blind Screening)
Problem. Early-stage hiring decisions can be noisy and biased when personally identifying information (PII) leaks into the loop.
Approach. Apply our closed-loop trust engineering (Prompt-Critique-Revision) with privacy controls to evaluate requirements-skills outside of PII, logging provenance for audit.
Compliance fit: EU AI Act (evaluation, logging), NIST AI RMF, ISO/IEC 42001; plus GDPR/ISO/IEC 27701 for privacy governance.
Scope: reference implementation and audit reports. We are not a recruiting agency.
Services
We work at the level of design, evaluation, and operating principles. Regulated or domain-sensitive applications (e.g. medical/clinical) are out of scope.
Ultra-lean Company Architecture
Design reviews and blueprints to run a company with minimal headcount, capital lock-in, and overhead — roles, workflows, and decision boundaries.
AI-first Operations & Automation
Asynchronous, documentation-driven operating systems: AI-assisted drafting, evaluation, and reporting pipelines with clear guardrails and auditability.
Vendor-neutral Evaluation & Reliability
Independent evaluation design, failure-mode analysis, and reliability reviews for AI systems — focused on measurable evidence, not implementation.
About
We are a small, independent studio that designs ultra-lean, AI-first companies from scratch. We treat company building as system design: humans for judgment, AI for repetition and analysis, and infrastructure for everything else. Our work is grounded in open research (AI reliability & evaluation, and Thermo-credit dashboards) and shipped as reproducible tools and reports.
Contact
Email: info@toppymicros.com