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Anthropic Partner · Claude in production

Claude, on Bedrock, in production.

Claude is the model VeUP reaches for when reasoning quality and guardrail maturity carry the workload — and the model VeUP's own delivery engine runs on every day. It still has to win the benchmark on each engagement.

7
published case studies documenting it
35
accounts where it's in the work
168
linked AWS accounts behind them
22
where VeUP is the AWS payer of record
Published proof

The engagements whose records name these models.

Every card below is a published case study whose record names a Claude model. The chip says what Claude actually did there — shipped it, backed it up, or contested it.

MyCena wordmark
Running in production
Claude 3.5 SonnetClaude Haiku

Three agents, three models. Claude 3.5 Sonnet carries the reasoning steps and Claude Haiku the latency-sensitive ones — a split settled by benchmark against Amazon Nova before launch, then hardened with Bedrock Guardrails.

MyCena hardens its AI agents with Anthropic Claude on Amazon Bedrock
Read the case study →
SalesNOW wordmark
Running in production
Claude Sonnet 4.5Claude Opus 4.1

Claude on Bedrock behind MCP tool servers over the CRM's existing REST APIs, with per-tenant context isolation and a human in the loop on v1.

SalesNOW embeds a tenant-isolated AI assistant with Claude on Amazon Bedrock
Read the case study →
ClusterPOS wordmark
Production — premium tier
Claude Sonnet

Claude Sonnet is the top rung of a three-step ladder — Nova Lite triages, Nova Pro answers by default, Claude Sonnet takes the questions that earn it. Answers land in 1–2s against a 5s SLA.

ClusterPOS empowers its support team with an AI agent on Amazon Bedrock
Read the case study →
A global consumer social platform
Head-to-head candidate
Claude Opus

Claude Opus was one of five candidates scored on an identical labelled dataset, all invoked through Bedrock. Qwen 3 VL won this workload — which is the point of running the bake-off.

Global social platform reaches 99.6% moderation accuracy on Amazon Bedrock
Read the case study →
Sofvie wordmark
Qualified alternate model
Anthropic Claude

Claude on Bedrock is the qualified alternate foundation model behind a Nova primary. The fallback is pre-tested, not hypothetical — tool-call accuracy was the deciding measure.

Sofvie launches a production AI data agent 28 days early on Amazon Bedrock
Read the case study →
Zenhub wordmark
Under continuous evaluation
Claude Opus

Claude Opus runs inside the evaluation harness: 12,000 real production prompts, LLM-judge scoring, hallucination tracking. The harness stopped a blind model switch before it shipped.

Zenhub gates every model swap on 12,000 real prompts, moving to Amazon Bedrock
Read the case study →
Sibros wordmark
VeUP delivery tooling
Claude Code

Claude Code in VeUP's own delivery loop — part of the three-week build behind a connected-vehicle model at 75B telemetry points a day.

Sibros: a 75-billion-point/day SageMaker model + Bedrock AgentCore pipeline
Read the case study →
Where Claude wins

Reasoning depth, tool-call accuracy, guardrail maturity.

Across the published engagements a consistent shape shows up: Claude takes the steps where a wrong answer is expensive, and a cheaper model takes the rest.

  • Premium tier of a model ladder — Claude answers what the cheap tiers escalate (Cluster Systems).
  • Reasoning agent in a multi-agent split, with Haiku on the latency path (MyCena).
  • Qualified alternate foundation model, chosen on tool-call accuracy (Sofvie).
  • MCP tool-calling over existing REST APIs with per-tenant isolation (SalesNOW).
In the work

35 accounts where Anthropic Claude is on the table.

These are customer accounts VeUP runs where this model family came up on a recorded customer call — architecture sessions, evaluations, roadmap conversations. That is engagement evidence, not a statement that the customer runs these models in production. Promotion to a production claim means a published case study, which is what the section above holds. 9 of these 35 are named here because they already have one. Every other row stays anonymized — including customers who do have a published case study but have not agreed to be named, who appear by description only.

  • Identity held on file
    Telecommunications
    BuildIgniteSellOperate28 AWS accounts
  • Shipium Corp.
    Logistics and Supply Chain
    IgniteSellOperate20 AWS accounts
  • An AI meeting-intelligence SaaS company
    Software Development
    BuildIgniteSellOperate13 AWS accounts
  • An energy-sector fibre-optic-sensing technology company
    Oil & Energy
    IgniteOperate13 AWS accounts
  • Identity held on file
    Information Technology and Services
    SellOperate11 AWS accounts
  • Bronto
    Software Development
    SellOperate10 AWS accounts
  • Identity held on file
    Financial Services
    BuildIgniteSellOperate10 AWS accounts
  • Identity held on file
    Computer Software
    BuildSellOperate9 AWS accounts
  • Cluster Systems (product: ClusterPOS)Documented
    Software Development
    BuildIgniteOperate9 AWS accounts
  • Feroot
    Computer & Network Security
    SellOperate9 AWS accounts
  • Identity held on file
    Construction
    SellOperate8 AWS accounts
  • A multi-tenant GRC SaaS provider
    Software Development
    SellOperate6 AWS accounts
  • Identity held on file
    Electrical/Electronic Manufacturing
    IgniteOperate4 AWS accounts
  • Identity held on file
    Venture Capital & Private Equity
    SellOperate4 AWS accounts
  • SalesNOW (Interchange Solutions Inc.)Documented
    Software Development
    SellOperate3 AWS accounts
  • Identity held on file
    Software Development
    SellOperate3 AWS accounts
  • A consumer connected-home-security IoT platform
    Computer & Network Security
    SellOperate2 AWS accounts
  • Identity held on file
    Operate2 AWS accounts
  • Identity held on file
    Software Development
    IgniteSellOperate2 AWS accounts
  • Identity held on file
    SellOperate1 AWS accounts
  • Tenderd
    Computer Software
    SellOperate1 AWS accounts
  • Identity held on file
    Software Development
    Build0 AWS accounts
  • Identity held on file
    Computer Software
    IgniteSell0 AWS accounts
  • Identity held on file
    Management Consulting
    SellOperate0 AWS accounts
  • Identity held on file
    Financial Services
    Build0 AWS accounts
  • Identity held on file
    Software Development
    Sell0 AWS accounts
  • Identity held on file
    Computer Software
    BuildIgniteSell0 AWS accounts
  • MyCena Security SolutionsDocumented
    Sell0 AWS accounts
  • Identity held on file
    Media Production
    Build0 AWS accounts
  • Identity held on file
    Biotechnology
    Ignite0 AWS accounts
  • Identity held on file
    BuildIgnite0 AWS accounts
  • Swftbox
    Sell0 AWS accounts
  • A travel-technology company building a governed traveler-data platform
    Leisure, Travel & Tourism
    BuildIgnite0 AWS accounts
  • Identity held on file
    Build0 AWS accounts
  • ZenhubDocumented
    Program Development
    Build0 AWS accounts

Every account here is a VeUP customer where this family is in the work. The chips are the engagement motions VeUP runs at that account — Build means VeUP builds and operates there, Ignite that VeUP funds and resells the estate, Sell and Marketplace the co-sell and listing motions. Operate marks the estates where VeUP is the AWS payer of record. Accounts are resolved from the customer registry and the meeting archive on participant email domain. Counting conversations is not counting deployments — the number is here as scope, never as a claim. Linked AWS accounts describe estate size, not spend.