NextTrace
ENDE

NextTrace / Berlin

Production AI that stays inspectable.

Four products built around evidence, reviewability, and operational trust — tax, diabetes care, supply-chain risk, and Farnah.ai, our locally runnable native AI engine.

Scroll

Approach

  1. 01EU-resident, audit-gradeData residency and GDPR posture built into the data model — not bolted on at compliance review.
  2. 02Slow when slow is rightTax filings, medical records, supply chains: correctness comes before speed.
  3. 03Multi-tenant from day oneIsolation at the data layer, with audit events on every meaningful state change.
  4. 04Locally runnable AIFarnah runs qualified open-weight models locally behind an OpenAI-compatible provider contract. Native training advances only through evaluation gates.

Built to be right, not merely fast.

Supply Chain Guard runs about 24 Go services behind one gateway, writing to an append-only, hash-chained evidence ledger. TaxioAI ships 19 modules on a deterministic rule engine synced from official tax-authority forms. NexDoz connects 7 devices and routes AI across 4 providers with circuit-breaker fallback. Farnah combines persistent Spectrum memory with OpenAI-compatible serving, bounded agent tools and MCP, multimodal input, and eval-gated native training.

Let us talk about the process that has to be trusted.

hello@nexttrace.io for anything — a project, a pilot, a question. You write. An engineer answers within one business day. No sales layer.

Write to hello@nexttrace.io →

References