AWS Serverless API Deployment
Lambda behind API Gateway, with the database connections and the failure paths thought through.
From $549 3–7 days
Model access wired up properly — private networking, quotas, logging and a spend ceiling.
From $749
Typically $749–$2,199, fixed in writing before anything starts.
What moves it up
AI features get built against a model endpoint the way they would against any other API, and two things about this one are different. The first is that the cost is per token and unbounded by default — a retry loop, a prompt that grew, or one enthusiastic user can turn a predictable monthly figure into a four-figure day, and nothing stops it because nothing was told to. The second is that quotas are per-account and per-model, and the request to raise them is not instant: teams discover their limit on launch day, which is the worst possible day to start a support case.
aws bedrock list-foundation-models --by-inference-type ON_DEMAND, per region — availability differsaws service-quotas list-service-quotas --service-code bedrock, against projected peak throughputaws bedrock get-model-invocation-logging-configuration — whether anything records what was sentA budget and an anomaly alert existing at all, which is usually the findingNot on Bedrock — inputs and outputs are not used to train the underlying foundation models and are not shared with model providers. What you do have to decide is your own invocation logging: whether you keep prompts, where, and for how long. That is your choice and it gets made deliberately rather than by default.
Budgets and anomaly alerts first, then throughput limits at the application layer, then the model choice itself. Per-token pricing with no ceiling is the specific risk here, and it is addressed before the first production request rather than after the first surprising invoice.
Bedrock if you want it inside your VPC, under your IAM, on your existing bill, with several models behind one interface. A direct provider API if you need a model or a feature Bedrock does not carry yet. It is a real trade and the answer is not always Bedrock.
Yes, and be aware that is the larger half of the work — ingestion, chunking, embeddings, a vector store and the access controls that stop one user retrieving another's documents. The model call is the easy part; the data pipeline around it is where the effort and the risk are.
Lambda behind API Gateway, with the database connections and the failure paths thought through.
From $549 3–7 days
Subnets, routing and security groups laid out so the next person can read them.
From $349 2–4 days
Tell me what you are running and I will come back with a fixed price and a date. If it turns out you do not need this, I will say that instead.
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Sunday to Thursday, 09:00–18:00 EET. Outside that I will still look, but I will not promise a time.
One person, one time zone. If round-the-clock cover is what you need, you need a team, and I will say so rather than sell you a plan that cannot deliver it.
You pay Amazon directly and you keep control of the account. Nothing here resells your infrastructure or sits between you and your own billing.
Every service page lists exactly what pushes a quote above it, before you ask. You get a fixed number in writing before any work begins.