What’s included
What’s included
Model selection
Benchmark candidate models on your real prompts for quality, latency and cost per request.
Built with
- Amazon Bedrock
- Amazon Bedrock Guardrails
- AWS PrivateLink
- AWS IAM
Why it matters
Why it matters.
Direct provider keys spread across teams mean no central view of spend, data flow or who is calling what.
Model choice changes every few months. Bedrock lets you switch or route between models without rewriting the application.
Governance, logging and private networking come as platform capability instead of something each team rebuilds.
What’s included · how it runs
Benchmark. Migrate. Govern. Tune.
Step 01
Benchmark
Run your prompts across candidate models and compare quality, latency and cost.
What’s included
Model selection
Benchmark candidate models on your real prompts for quality, latency and cost per request.
Step 02
Migrate
Cut over application calls to Bedrock behind a stable internal interface.
What’s included
Bedrock migration
Move existing calls to Bedrock with an abstraction layer that keeps future switching cheap.
Step 03
Govern
Apply guardrails, logging, quotas and access boundaries.
What’s included
Governance controls
Guardrails, IAM boundaries, private connectivity and full invocation logging.
Scale and cost design
Provisioned throughput, routing rules and quotas sized to your traffic profile.
Step 04
Tune
Set routing rules so cheap models handle easy work and premium models handle the rest.
What you walk away with
- Applications running on Amazon Bedrock
- Model benchmark results on your own data
- Guardrails, logging and access controls
- Routing and cost policy
Case studies
Customers we’ve delivered this for.
Draft · pending HES approval
Case studyHuman eSources
Make the hiring call with AI.
How Human eSources turned nearly three decades of talent science into AI that explains every job match, live on Amazon Bedrock behind TruTalent, its new recruiting platform.
- Industry
- HR tech, talent assessment
- We built
- Talent Scout AI
- Runs on
- Amazon Bedrock
Keith Gaudreau
VP Product Strategy
Case studyMould Detect AI
Computer vision for mould detection.
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
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Case study[Client]
[The promise] [in 2 lines].
[How the client got the outcome: what Assembly built and where it runs. One sentence.]
Talk to an engineer[Client logo][First Last][Role]