Claude Development Services
Senior AI engineers offering Claude development and consulting, from production-ready agents and assistants to integrations with your product and data.
Custom
Claude
Development Services
Claude-Powered Applications
Build AI features on top of the Claude API: assistants, copilots, document processing, and content generation embedded directly into your SaaS product or internal tools.
AI Agent Development
Design agents that reason, use tools, and complete multi-step tasks. We build with the Claude Agent SDK and tool use, adding guardrails, human-in-the-loop checkpoints, and observability from day one.
MCP & Systems Integration
Connect Claude to your databases, APIs, and business tools through Model Context Protocol (MCP) servers, so it works with your real data securely and with the right permissions.
RAG & Knowledge Assistants
Ground Claude's answers in your documentation, tickets, and knowledge bases with retrieval pipelines that are accurate, traceable, and easy to keep up to date.
Claude Consulting & Optimization
Use-case discovery, architecture reviews, evaluation frameworks, and cost and latency tuning (model selection, prompt caching, batching) to take you from prototype to reliable production.
Senior AI Engineers for Your Team
Bring in engineers who have taken LLM features from demo to production and know when a task needs a model, when it needs plain code, and how to prove which works better.
Hire
Claude
developers
Move from AI experiments to features your customers use, with engineers from Latin America who work as part of your team, not as a separate vendor.
- LLM features shipped to real users, not just prototypes
- Full overlap with U.S. time zones
- Clear communication backed by strong English
- Responsible handling of customer and company data
Why us for software development
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Proven track record
We've helped U.S. companies scale high-performing teams through nearshore development, delivering consistent results in speed, code quality, and long-term product success.
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Nearshore developers
Work with senior developers in your time zone, fully aligned with your workflows, communication style, and product goals.
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Extensive talent network
Access a curated network of 70,000+ vetted professionals, making it faster and easier to hire developers who match your technical and cultural requirements.
Security first
As ISO 27001:2022 certified, we protect your data and operations with enterprise-grade security and compliance.
Our stack for
scalable products
Models & APIs
Each task gets the Claude model that fits it best, balancing reasoning depth, speed, and cost.
Agents & Orchestration
Agents plan, use tools, and recover from errors, always within clearly defined boundaries.
Integrations & Context
Secure connections to internal systems let Claude act on real business data, not just text in a chat.
Retrieval & Data
Retrieval pipelines keep answers grounded in your sources, current, and easy to cite.
Evaluation & Observability
Automated evals catch regressions before release, while production monitoring tracks cost, latency, and quality.
Infrastructure & Deployment
Deployments run on your own cloud, with CI/CD pipelines that make every change safe to ship.
Our 3-Step Process
01
Define your needs
We start by understanding your goals, technical requirements, timeline, and the best engagement model for your project.
02
Build the right solution
Whether you need specialized engineers or a dedicated team to own delivery, we bring together the right expertise for your needs.
03
Launch and scale
We handle onboarding and setup or manage project delivery end to end, with ongoing technical support as your needs evolve.
Ready to get started?
Numbers that define us
Team members
NPS Score
Retention rate
Countries
Vetted candidates
Claude
About Development
Claude is Anthropic's family of large language models, built for complex reasoning, coding, and working with long documents. Teams use it to automate knowledge work, power AI agents, and add intelligent features to their products. The hard part isn't calling the API. It's designing features that stay accurate, safe, and cost-effective once real users depend on them.
Claude handles long contexts, follows detailed instructions reliably, and excels at coding and multi-step reasoning. Native tool use and MCP support make it a strong foundation for agents that connect to real systems, not just chat interfaces.
Customer support assistants, internal knowledge copilots, document and contract analysis, code generation and review, data extraction, and autonomous agents that run workflows across your tools. Claude can power anything from a quick MVP to an enterprise-scale platform.
Claude integrates with MCP for tool and data access, LangChain and LangGraph for orchestration, vector databases for RAG, and cloud platforms such as Amazon Bedrock and Google Vertex AI. Knowing how these pieces fit together is what separates a demo from a dependable product.
We're model-agnostic and recommend what fits your use case. Teams often choose Claude for long-context work, coding, and agentic tasks, and for Anthropic's focus on safety and reliability. We benchmark options against your own data before committing.
Built by our nearshore teams
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Claude
Development FAQs
How do your AI engineers use Claude to build assistants and agents?
They build Claude-powered assistants, agents, document processing pipelines, and coding tools, then connect them to your internal systems through APIs and MCP.
How quickly can your engineers deliver a first Claude-based version?
A focused proof of concept usually takes a few weeks. Production rollouts depend on integrations, data, and security requirements.
How do your engineers protect our private data?
They design architectures with access controls and data minimization, and can deploy through your cloud provider (AWS or Google Cloud) to meet compliance needs.
Which AI models do your engineers work with besides Claude?
They're model-agnostic, evaluating Claude alongside models from OpenAI, Google, and open-source providers to pick the best fit for quality, cost, and latency.
How do your engineers measure if the AI is working well?
They build evaluation sets from real examples, track accuracy and failure cases, and monitor quality, cost, and latency in production.
How do AI engineers with Claude experience work with our team?
They can join through staff augmentation, taking part in your standups and tools, or take full ownership of a Claude project from discovery to launch.