Anthropic is an AI research company focused on building large language models that are safe, steerable and honest. Its models are called Claude. Like other language models, Claude reads instructions and context and produces useful text , answers, summaries, drafts, structured data , but it is designed from the ground up to reason carefully and to refuse confidently-wrong shortcuts.
Claude is particularly strong at two things businesses care about: working through long, detailed documents, and following nuanced rules without drifting. It can hold a large contract, policy manual or case file in view at once and reason about it as a whole.
Aerosoft reaches for Claude when a job rewards careful thinking over raw speed , compliance checks, long-document review, sensitive customer communication , and when we want output that errs toward caution.
Claude can read very long documents , entire contracts, manuals or histories , in a single pass, so it reasons about the whole thing instead of disconnected fragments.
Claude is trained to work through problems step by step and to flag uncertainty rather than bluff , which matters when a wrong answer has consequences.
It follows detailed, nuanced instructions closely , the rules of a policy, the tone of your brand , and holds them across long tasks.
Claude is built to avoid harmful or out-of-scope responses, which makes it well suited to customer-facing and regulated workflows.
Like other modern models, Claude returns clean structured data and can call the tools we give it, so it fits directly into your systems.
We choose Claude for client work where careful judgement and caution matter more than raw throughput.
We use Claude for long-document review and summarisation, compliance and policy checks, careful customer communication, and any workflow where a confident-but-wrong answer would be costly. It drafts and analyses; your team approves.
As with every AI build, Claude works from your own data, returns its sources, and operates inside guardrails with a person in the loop wherever a decision matters.
Both are capable language models. We reach for Claude when a job rewards careful reasoning, long-document analysis and cautious output , compliance, contract review, sensitive communication , and use GPT where its strengths fit better. Because we build behind our own layer, we use the right one per task.
No. Aerosoft uses Anthropic's business API, where your data is not used to train models. For the most sensitive workloads we can route to a privately hosted model so data never leaves your environment.
Claude can hold a very large document , a full contract, manual or case file , in view at once, so its analysis covers the whole thing rather than disconnected excerpts. That means fewer missed clauses and more reliable summaries.
Any language model can. Claude is designed to flag uncertainty rather than bluff, and we further reduce risk by grounding it in your documents, returning sources, and keeping a person in the loop for decisions that matter.
Yes. Claude returns structured data and can call tools, so we integrate it with your CRM, document stores, inbox and custom software through their APIs.
Its long-context reading and cautious output make it a strong fit for reviewing contracts and checking work against policy , as an assistant that surfaces issues for a professional to decide, not a replacement for that professional.
Anthropic charges per use. We pick the right Claude model for each job , a lighter one for routine tasks, a stronger one for complex review , and size and cap usage as part of the build.
We start with one document-heavy or rules-heavy task that eats hours each week, build it, prove the value, then expand. Tell us where the careful reading happens and we'll recommend the first step.
Tell us what needs careful review. We'll recommend the right model , Claude or otherwise , and explain why.
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