AI integration in Los Angeles
Los Angeles companies own enormous archives of footage, audio and scripts that are nearly impossible to search. Finding every scene where a character mentions a place, or every take with a particular line, still means someone scrubbing through hours of material. That is a job AI does well: transcription, tagging and search, with a person checking what matters.
We integrate those features into the tools your teams already use. Speech is transcribed with Whisper, which we already use on FM360, scenes are described and tagged, and search works on meaning rather than exact words, with every result linked to its timecode. The originals stay untouched: the index sits beside them and grows as new material arrives, so an editor or researcher finds the right take in seconds.
Los Angeles buys software for businesses that make things people watch, wear, listen to and fly. Entertainment and media are the obvious ones: studios, streaming services, post-production houses, music companies, games and the creator economy that grew up around them. Alongside them sit consumer brands selling direct to customers online, a fast-growing aerospace cluster around El Segundo and the South Bay, and the logistics trade that runs through the ports of Los Angeles and Long Beach. The buyer might be a creator with an audience, a studio's technology team or the operations lead at a launch company.
Each brings a different system. Media is heavy: video has to be ingested, transcoded, stored and served, storage and egress costs grow faster than anything else on the bill, and rights and territory windows decide who may watch what, where and when. Consumer brands live with launch-day spikes, when one post or one drop sends a surge of traffic in minutes. Creator platforms need moderation that keeps the product feeling fast. The South Bay's aerospace companies grow quickly and need the commercial software around the engineering: hiring and supplier portals, fan and merchandise stores, and the scheduling and operations tools a company outgrows spreadsheets for.
Built In puts the average base salary for a software engineer in Los Angeles at around $147,000, and studios, streamers and the large technology campuses in the city compete for the same people. Much of the work here also runs to a fixed date: a premiere, a new season, a product drop, a launch window. When the date is set and the team is short, a senior engineer who can start in days on a defined piece of work is often the quickest way to hit it.
We work from Bengaluru with four hours of live overlap every working day, placed across your morning in Los Angeles. Stand-ups, reviews and launch planning happen in that window, with the engineer who writes the code. Everything decided outside it goes into your repository, your tracker and the runbooks we write as we go, so each morning starts with a clear record of what moved.
We fit best around a fixed date: a store before a drop, a media pipeline before a new season, a creator app before launch, or commercial tools for a fast-growing South Bay company. Senior capacity starts in days, usually with a fixed-price two-week piece. Agencies can bring us in white-label, under their own name.
Four ways this arrives.
A prompt that behaved on twenty hand-picked inputs meets ten thousand real ones. We build the evaluation set from your actual traffic first, so a change can be judged rather than argued about.
Usually a large context sent on every call, or a big model doing a job a small one can do. We measure where the tokens go before recommending anything.
Logging that captures the prompt, the retrieved context, the model version and the output, so a support question has an answer that is not a guess.
A fallback path, a timeout that is shorter than your user’s patience, and a degraded mode that is honest about being degraded.
A weekly maintenance pulse where Claude writes only the prose, checked against a JSON schema and a whitelist of numbers, with a template that takes over when the model fails.
Read the write-up →Asked by Los Angeles teams.
How do you work with teams in Los Angeles?+
We are in Bengaluru, with four hours of live overlap every working day placed across your Los Angeles morning. That window holds stand-ups, design reviews and launch planning, and you talk to the engineer who writes the code. We work in your Slack, your GitHub and your Linear, so progress shows up where your team already looks. Work finished outside the window is written up there too, ready when your day starts.
Do you build for media and entertainment companies?+
Yes. We build ingest and transcoding pipelines, rights and territory windows held as data, review platforms with expiring, watermarked links for outside collaborators, and archive search that finds a line of dialogue by its timecode. For labels and creator networks, we build the pipelines that turn platform statements into accurate payouts. Each piece is scoped to ship before the premiere, season or release date it is meant for.
How does your rate compare to hiring in Los Angeles?+
Built In puts the average base salary for a software engineer in Los Angeles at about $147,000, before equity, benefits and recruiting fees. Our published rate is $35 an hour, with a $5,000 minimum. You skip the months of recruiting and the employment overhead, and we can start within days. A fixed-price two-week piece at $2,800 is the usual beginning, so you judge us on what ships.
Can you work white-label for a Los Angeles agency?+
Yes. Many Los Angeles creative and digital agencies win the brief and then need engineering behind it. We build under your name: your client sees your agency and your process, and we work inside your Slack, tracker and repositories. We can join client calls in the overlap window or stay behind the scenes. An NDA comes first, and the code belongs to your client from the first commit.
Will you tell us if we do not need a model?+
Yes, and it happens often. Several requests we have taken turned out to be a search problem, a rules engine, or a form with better defaults. We would rather say that in week one than bill for a year of prompt tuning.
Whose API keys?+
Yours, in your accounts, with the spend visible to you. We never proxy your traffic through infrastructure we control.
What about our data going to a provider?+
We map exactly what leaves your systems and where it lands before anything is wired up. Where that is not acceptable, self-hosted open-weight models on your own hardware are a real option and we will price both.
Do you fine-tune?+
Rarely, and not as a first move. Retrieval and prompt structure fix most of what people bring to us as a fine-tuning problem, at a fraction of the cost and with none of the retraining treadmill.