Bedrock Models & APIs
Managed access to multiple foundation-model families with an explicit selection, routing, evaluation and lifecycle strategy.
AWS · Amazon Bedrock · Enterprise AI
Build on Amazon Bedrock without turning model choice into platform sprawl.
Numezis designs and delivers enterprise AI on AWS with Amazon Bedrock, Agents, AgentCore, Knowledge Bases, Guardrails and the surrounding AWS security and data services. We turn the managed catalog into an explicit production architecture with controlled authority and measurable outcomes.
IDENTITYMODELDATAOPERATEAMAZON WEB SERVICES / NUMEZIS ADVISORY & ENGINEERING
PlatformAMAZON BEDROCK
ScopeARCHITECT · BUILD · GOVERN
DELIVERYSWITZERLAND · FR / EN / DE / IT
Decision thesis
Bedrock removes infrastructure work; it does not remove architecture work. Model access, IAM, retrieval, agent actions, cross-account controls, evaluation and cost still need named owners and evidence.
Product landscape
Use Bedrock as a platform of composable capabilities.
We combine services only where they reduce operational burden without obscuring data access, model behavior or agent authority.
Amazon Bedrock Agents & AgentCore
Agent orchestration and production runtime patterns designed around tools, memory, identity, policy and observability.
Knowledge Bases
Managed RAG connected to approved sources with retrieval quality, permissions, citations and data lifecycle controls.
Guardrails & AWS controls
Application safeguards combined with IAM, KMS, VPC, CloudTrail, Organizations and workload-specific assurance.
What we deliver
Amazon Bedrock engineering from account boundary to business outcome.
We design the cloud foundation and the AI application as one controlled delivery system.
01
Bedrock platform strategy
Select regions, accounts, models, inference patterns, data services and workload boundaries.
PLATFORM BLUEPRINT · MODEL SCORECARD02
Agent & RAG engineering
Build agents, AgentCore runtimes and Knowledge Bases with tools, retrieval tests and human review.
AGENT SYSTEM · RAG EVAL SET03
AWS security architecture
Implement IAM, KMS, private networking, Organizations policies, logging, secrets and controlled tool access.
THREAT MODEL · CONTROL BASELINE04
Reliability & FinOps
Measure quality, latency, failures, token and infrastructure cost, release readiness and workflow value.
SLO · COST MODEL · SCALE GATESArchitecture-first
Bedrock inherits the strengths — and complexity — of the AWS account model.
A production design makes identity, account boundaries, data paths and agent execution visible from end to end.
Accounts & IAM
Workload isolation, roles, service identities, cross-account access and Organizations guardrails.
Data & retrieval
S3 and source access, vector stores, encryption, provenance, citations and deletion paths.
Agent execution
Action groups, tools, AgentCore and APIs with scoped credentials and approval gates.
Operations
CloudTrail and observability, evaluation, model lifecycle, cost allocation and incident response.
Engagement output
A Bedrock platform with bounded authority and a credible route to value.
Each recommendation is deployable, testable and reversible at the level that matters.
01Platform readiness and target architecture
02Identity, network and data trust map
03Model and agent evaluation suite
04Security and governance control baseline
05Production pilot with acceptance gates
06Cost, operations and scale roadmap
Relationship transparency
Applied cloud expertise. No borrowed credentials.
Applied expertiseActive
Public partner statusOnly stated after provider confirmation
The Amazon Web Services and Amazon Bedrock names identify technologies we evaluate and implement. They do not imply an announced partnership, certification or endorsement.
FAQ / Amazon Bedrock
Amazon Bedrock consulting: the architecture questions behind the managed service.
01When should we use Amazon Bedrock rather than a direct model API?+
Bedrock is compelling when AWS-native identity, networking, data services, multiple model families and managed capabilities reduce the total operating burden. We evaluate this against quality, region availability, cost, feature maturity and portability for the actual workflow.
02Do Guardrails for Amazon Bedrock replace application security?+
No. Guardrails can evaluate inputs and outputs, but they do not replace IAM, source permissions, tool authorization, network controls, threat modeling, business validation or incident response.
03Is Numezis an official AWS partner?+
This page describes implementation expertise and does not imply an announced AWS partnership, certification or endorsement. Formal status is stated only after provider confirmation.
Prepare · Govern · Engineer · Realize
Turn Amazon Bedrock into a controlled production capability.
Bring us your AWS account model, data sources and target workflow. We will define the architecture, evidence and first production gate.
Discuss your cloud AI architecture