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Industry · MVP Development

AI & Automation software development

Agentic workflows and RAG pipelines shipped to production, not demo.

01 · Overview

What we build for ai & automation

We build the six-layer AI stack end to end — ingestion, retrieval, model routing, agents, guardrails, and observability — so AI features hold up under real users, not just a demo script.

Compliance mapped
  • OWASP LLM Top-10
  • NIST AI RMF
  • SOC 2

02 · What we engineer around

The real constraints of this vertical.

  • Hallucination and prompt-injection risk in production

  • Cost and latency at real usage volume

  • Evaluating model output quality continuously

03 · Where it fits

Systems we've shipped in production.

  • RAG pipelines & vector search

  • Agentic workflows with tool-use

  • Guardrails & continuous eval

  • Model routing across providers

04 · Common questions

AI & Automation — questions we get.

Can you build production-grade AI agents?

Yes — we ship agentic workflows with guardrails, evals, and observability baked in, not just a prototype prompt chain.

How do you prevent hallucinations in AI products?

Through grounded retrieval (RAG), continuous evaluation suites, and human-in-the-loop review points for high-stakes actions.

Building in ai & automation?

Talk to a lead architect. 30-minute discovery call, fixed-price scope inside 48 hours, first commit inside a week.