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Process

How we shipAI systems

One path for every project: from finding the right process to hitting the target outcome.

Principles

Core principles

01

KPI before model

We fix the target in numbers first — then pick the architecture. No KPI, no kickoff.

02

Integration over demo

A slick demo on synthetic data isn't a product. AI only works inside your processes and data.

03

Accountable for the outcome

If the target isn't hit — we come back and push it there. That's part of the job, not an upsell.

04

We hand over the keys

After launch we transfer stack, access and docs. No vendor lock-in.

Stack

Technologies in use

LangGraphLangChainOpenAIAnthropicvLLMLoRA / PEFTYOLOByteTrackWhisperElevenLabsTwilio VoicePostgres + pgvectorDuckDBFastAPIn8nPythonTypeScriptReact