Artificial Intelligence for Business

Develo builds applied AI: systems that read documents, answer customers, make decisions with your operational data and execute workflows — on top of large language models running in AWS through Amazon Bedrock. No hype: each AI component is chosen because it measurably improves a business process.

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What we build

LLM applications

Chat assistants, document analysis, content generation and decision support wired to your data.

Retrieval-Augmented Generation (RAG)

Systems that ground model answers in your documents, catalogs and databases — with citations and low hallucination.

LLM fine-tuning

Domain-specific models for tone, format and task accuracy when prompting and RAG are not enough.

AI agents

Autonomous agents with tool access that investigate, decide and act under guardrails.

How we choose the right technique

Most business problems need a combination: good prompts, retrieval over your data, evaluation harnesses, guardrails and human-in-the-loop checkpoints. Fine-tuning is one tool in the kit, not a starting point. See how we combine RAG, fine-tuning and agents in our technology stack.

Production discipline

  • Evaluation: regression test suites over real business cases, run on every model or prompt change
  • Guardrails: input/output filtering, restricted tool permissions and audit logs
  • Human-in-the-loop: escalation paths and supervision consoles for sensitive actions
  • Observability: traces, costs and quality metrics per conversation and per agent
  • Data privacy: your operational data stays inside your AWS tenancy

Frequently asked questions

Can Develo build AI for enterprise, not just prototypes?

Yes. We engineer production systems — RAG over your data, agents with governed tools, guardrails, observability and human-in-the-loop — rather than standalone demos. See our enterprise AI development practice and the Intervan copilot serving more than 1,000 users.

Can the AI integrate with our CRM, ERP or internal APIs?

Yes. We connect models to your systems through APIs and the Model Context Protocol (MCP), with scoped permissions and audit logs for every action an agent takes.

How is knowledge kept current and permissioned?

RAG pipelines ground answers in your documents and operational data, reindex automatically and respect your organization's permissions and multitenant boundaries.

Does it run on AWS and Amazon Bedrock?

Yes. Develo builds on AWS and runs large language models through Amazon Bedrock so models, data controls and guardrails stay inside your cloud tenancy.

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Bring us your AI use case

Tell us the process you want to improve; we'll map the LLM architecture, costs and a PoC timeline.

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