Claude & Anthropic AI Consulting

Anthropic’s Claude is one of the most capable and safety-focused large language models available today — and increasingly the right choice for mid-market organizations that need reliable, production-ready AI without the complexity of building from scratch. Frog Fish Data helps you evaluate, integrate, and build with Claude as part of a broader AI strategy that fits your business, your data, and your existing technology stack.

Why Claude?

Claude is built by Anthropic with a focus on safety, reliability, and nuanced reasoning — making it well-suited for business use cases that require consistent, trustworthy outputs. It excels at document analysis, complex reasoning, long-context tasks, and natural conversation. For organizations already evaluating AWS Bedrock, Azure OpenAI, or Google Vertex AI, Claude is available across multiple cloud platforms — meaning you can adopt it without locking into a new infrastructure.

Safety-focused

Built with Constitutional AI for more predictable, trustworthy outputs in production

Long context

Handles large documents, codebases, and complex data without losing coherence

Multi-cloud

Available via Anthropic API, AWS Bedrock, and Google Vertex AI

Strong reasoning

Excels at analysis, summarization, and nuanced decision support

Cost efficient

Competitive pricing across model tiers — so you can match capability to cost.

Enterprise-grade privacy

Claude is available for organizations with strict data residency or compliance requirements.

Claude API Integration

We connect Claude to your existing applications, internal tools, and data sources via the Anthropic API. Whether you need Claude embedded in a customer-facing product, an internal workflow, or a back-end processing pipeline, we handle the architecture, authentication, and prompt design to make the integration reliable and cost-efficient in production.


Claude-Powered App Development

We design and build applications with Claude at the core — from internal knowledge assistants and document review tools to AI-powered workflows and customer-facing copilots. Built on Next.js, React, TypeScript, and Python, these applications are production-ready, scalable, and designed around how your team actually works.


Prompt Engineering & Optimization

Getting reliable, high-quality outputs from an LLM requires more than a good idea — it requires disciplined prompt design. We develop, test, and refine prompt libraries for your specific use cases, reducing variability and improving output quality across the board. This includes system prompt architecture, few-shot examples, output formatting, and ongoing evaluation frameworks.


AI Strategy & Road Mapping

Not every problem needs Claude — and not every organization is ready to deploy an LLM on day one. We work with mid-market companies to assess their current workflows, data readiness, and business goals, then build a practical AI roadmap that identifies where Claude (or another model) will drive the most value. We help you avoid expensive experiments and focus on use cases with clear ROI.


Curious if Claude is the right fit?

We’ll help you cut through the noise. Whether you’re just starting to explore AI or ready to build, we can assess your use case and recommend the right model and approach — Claude, or otherwise.

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