Claude by Anthropic,
the Enterprise LLM Built for Accuracy
Claude is our default choice for compliance-sensitive workflows, complex document analysis, and anything where precision matters more than speed. We've put it into production for credit review, contract analysis, and other regulated data work, the kind of tasks where a hallucination isn't a minor bug.
Why Enterprise Teams Choose Claude
Anthropic trains Claude with a constitutional AI approach, aiming for a model that's helpful, harmless, and honest. In practice that shows up as fewer refusals on legitimate business tasks and behavior that stays predictable once it's in production.
With a 200K token context window, Claude can take in an entire contract, financial statement, or policy document in a single call, and reason across all of it instead of stitching together fragments.
Where We Deploy Claude
Contract & Document Review
Extract obligations, deadlines, and risk clauses from contracts. Claude reads the whole document, not chunks, so it keeps context across complex multi-party agreements.
Compliance Workflows
Automate review of regulatory filings, KYC documentation, and policy checks. A low hallucination rate matters here because a wrong answer doesn't just get corrected, it can trigger a compliance finding.
Credit & Risk Analysis
Summarize financial documents, extract key metrics from statements, and generate structured risk narratives that feed directly into decision workflows.
Internal Knowledge Assistants
Build assistants that answer questions against your internal documentation, policies, and procedures, with the whole knowledge base loaded into context at once.
Claude Model Lineup
We pick and configure the right Claude model for each use case, balancing accuracy, latency, and cost in production.
Claude 3.5 Sonnet
The best balance of intelligence and speed. Production workhorse for document analysis, structured extraction, and customer-facing applications requiring both accuracy and low latency.
Claude 3.5 Haiku
Fastest and most cost-efficient Claude model. Ideal for high-volume classification, sentiment analysis, entity extraction, and use cases requiring thousands of API calls per hour.
Claude 3 Opus
The most capable model for the hardest tasks: detailed reasoning over long documents, nuanced judgment calls, and high-stakes analysis where accuracy matters more than speed.