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About us
Sedawk builds the systems underneath technology and media products — the index, the pipeline, the recommendation layer — so the archive stops being storage and starts being the product.
We work with the stack you already run, and we leave you able to operate what we built without us.
Signal, not noise
Relevance you can explain
Every ranked result carries the reason it ranked. An editor can tune the system instead of arguing with it.
Rights & provenance
Know where it came from
Licensing, attribution and model provenance tracked with the asset, so republishing never becomes a legal question.
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Documents indexed and made searchable on one AI platform
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Industries our engineers have shipped production software for
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Pipelines that run without someone watching the queue
Why choose us
A simplified path to a product that scales
Search that understands
Retrieval over your own archive — meaning, not keywords — so the thing someone half-remembers is the first result rather than the fortieth.
Content pipelines
Ingest, transcribe, tag, summarise and publish as one automated path, whatever shape the source material arrives in.
Audience & personalisation
Recommendations tuned to what people actually finish, not what they happened to click on a Tuesday.
Platform engineering
Multi-tenant SaaS, APIs and the unglamorous scaling work that decides whether launch week is a celebration or a postmortem.
How it runs
From raw feed to finished audience
Four stages, each one automated far enough that a person only steps in where judgement is actually needed.
01
Ingest
Feeds, archives, CMS exports and the folder nobody has opened since 2019.
02
Enrich
Transcription, entities, tags and summaries attached automatically.
03
Serve
Search, recommendations and APIs your product and your audience both use.
04
Measure
What got read, what got abandoned, and what to publish next because of it.
Where we work
Across the stack
SaaS & Product Companies
Publishing & Editorial
Streaming & Entertainment
Research & Legal Platforms
AdTech & Marketing
Frequently asked
The four that come up in almost every platform conversation.
We already have a CMS. Where does this fit?
Alongside it. The CMS stays the place editors work; we build the layer underneath that indexes, enriches and serves what is already in there.
Will AI write our content?
Only if you want it to, and we would usually argue against it. The durable wins are in finding, tagging, summarising and routing the work your people already produce.
How do you handle our archive?
As it is, rather than as it should have been. Messy exports and inconsistent metadata are the normal starting point, and cleaning them up is part of the build.
How fast does something ship?
A working slice in weeks. We pick one collection or one product surface, get it live, and expand from something real rather than a migration plan.