Give your systems access to what is being said

You are building a system that runs on information: an internal search engine, a semantic index, an agent answering from your sources, a monitoring tool. All of it works on text.

Yet a growing share of what matters in your field is no longer written down. It is spoken — at conferences, in podcasts, in webinars, in recorded meetings. To your systems, that material does not exist.

This is not a volume problem. It is a blind spot. You index what is easy to index, then draw conclusions from that sample.

What the blind spot costs

An internal agent that ignores recorded meetings will miss the context behind half the decisions made. A monitoring setup that only tracks articles will miss what gets said on stage six months before anyone writes it down. A document index that skips video training sends the user back to documentation they have already read.

In each case, the system appears to work. That is what makes the blind spot expensive: it produces no visible error, only incomplete answers.

A system can only reason about what it can read.

Why this is still painful

Technically, the problem is solved: speech recognition models are good and readily available. The difficulty is operational, and that is what wears people down.

• —Fetching the source — multiple formats, shifting platforms, deleted content
• —Running the model — machines, queues, recovery after failure
• —Absorbing errors — one unavailable source must not block the batch
• —Cleaning the output — a raw transcript indexes badly
• —Keeping all of it alive over time, when none of it is your job

Every step is doable. It is the sum that costs, and above all the upkeep: you do not pay at launch, you pay six months later, when a platform changes its rules.

What Techtuel does

You send a URL. You get back clean text, ready to chunk, embed or index. Nothing to host, no model to run, no queue to watch.

Translation is included. It costs €0.0047 per hour of content against €0.046 for transcription — ten times less. Billing a line item that marginal would add a meter without adding revenue, and would turn multilingual work into a cost variable at the exact moment you want to widen your sources.

A video that already has subtitles costs a single credit, whether it runs six minutes or three hours. Across a corpus of several hundred sources, that detail is what decides the budget.

An API, so that access to spoken sources stops being a project and becomes a network call.

The API is in production, running on infrastructure hosted in France.