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6|Oction and Fixated | Where we think we help
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Oction and Fixated · August 2026
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Three places we think we help, and one we would build with you.
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Following the June call. You said the toolkit is strong and the operation around it
63| has been correct by force rather than by practice, and that you cannot sell to enterprise partners
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01AI, and specifically the data layer
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The part I care most about, and the part where I would rather join what you are already
69|standing up than build a parallel version of it.
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A retrieval and analysis stack that already runs in production
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Hybrid search with multi-stage retrieval over a live index, running on our own infrastructure
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21,941
indexed chunks in production
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108 ms
median query latency
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On-prem
data does not leave the box
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Why it matters here: catalog, claim and royalty data is messy, high volume and arrives in
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Lyric intelligence
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Deep annotation and analysis of lyrics: scraping, structured breakdown, and generated annotation.
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Collections and royalty reconciliation
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This is the one I want to be straight about. We have not built a royalty reconciliation
97| agent. We have built the data infrastructure underneath one, and we have built comparable
98| reconciliation logic in other domains, but not this one, and I am not going to tell you otherwise
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What it would do, and what I think you actually need:
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Ingest statements and reports from sources that each format differently, and normalise them
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Match reported revenue against what should have been collected, per asset and per claim
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Flag the gaps: unclaimed usage, splits that do not add up, one asset collecting through two
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Produce reporting an enterprise partner will actually believe, which is the thing that gates
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You are mid-way through rebuilding that operational stack anyway. You said you need partners who
110| play the new game and are willing to pull you along. Building this alongside you is a more honest
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02Artist incubation and the Part A problem
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You described community as an empty room without an on-ramp. Getting people through the
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Creative direction at speed. Lyric analysis feeding writing, mood boards,
120| scripts and campaign concepting, so the front end of developing an artist compresses.
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Clipping and mass distribution. Communities across roughly 75,000 accounts,
122| plus owned device capacity. Real volume, and volume that stays inside platform rules, which I
123| care about for the same reason you do after your overseas partner experience.
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Measurement past views. Engagement, conversion and retention through the
125| funnel. You named tracking as the thing nobody gets right, and the three separate problems of
126| collecting, processing and narrating the data. We agree, and it is why the data layer above
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03Build-outs Fixated would own
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Internal tooling and dashboards on your infrastructure, not ours
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Reporting and measurement your enterprise partners will trust
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Sites, portals and client-facing surfaces, which is the least interesting item here and the
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Delivery evidence: three live client builds below, plus an AI-search case study I can send if you want it.
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04What I want next
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Time with you and whoever is leading the AI work, so I can see what is already standing before I
145| suggest anything. Then one decision: is the reconciliation piece something we build together, or is
146| it covered and I should point my attention at the part that is not.
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05Everything, so you can check rather than take my word