Production agentic AI for the enterprise.
InTheCloud is an AI-first engineering consultancy. We design and ship agentic AI systems — multi-step agents, tool use, retrieval, evaluation, and governance — embedded with your team and built to enterprise security, compliance, and reliability bars.
What we build
- Agent architectures with planning, tool use, and memory
- Retrieval-augmented generation (RAG) over enterprise data
- Evaluation harnesses, regression suites, and offline scoring
- Prompt, tool-call, and cost observability
- Guardrails, PII handling, and audit logging for regulated workloads
- Human-in-the-loop workflows and approval surfaces
- AI-augmented internal tooling, copilots, and operations automation
- MLOps, model governance, and AI risk frameworks
Frequently asked questions
What is agentic AI?
Agentic AI refers to systems where large language models plan and execute multi-step tasks by calling tools, retrieving context, and acting on external systems — going beyond single-turn chat. In the enterprise, agentic AI powers workflows like research, ticket triage, code generation, and operations automation, with humans in the loop where stakes are high.
What does InTheCloud deliver in an agentic AI engagement?
We embed a senior pod of engineers and AI practitioners inside your team and ship production agentic AI: agent architecture, tool integrations, retrieval pipelines, evaluation harnesses, observability, guardrails, and the surrounding software engineering. We focus on systems that pass enterprise security, compliance, and reliability bars.
Which foundation models and frameworks do you use?
We are model- and framework-agnostic. We work with Anthropic Claude, OpenAI GPT, Google Gemini, and open-weight models on AWS, Azure, and GCP. Framework choice — LangGraph, Vercel AI SDK, custom orchestration — is driven by the workload, your existing stack, and operational constraints.
How do you handle evaluation, safety, and governance?
Every agentic AI system we ship includes evaluation suites, regression harnesses, prompt and tool-call observability, cost tracking, and policy guardrails. For regulated workloads we layer in audit logging, PII handling, and human-in-the-loop checkpoints aligned to your AI risk framework.
Ready to get back to building?
Tell us about the engagement. We typically respond within one business day with a named builder who can talk substance — not a generic sales pitch.
Prefer email? info@inthe.cloud