Production AI, shipped — not just prompted.
We design, build and deploy custom AI agents, retrieval systems and LLM automations that survive real traffic. From proof-of-concept to production, with evals, monitoring and version control.
What we build
Whether it’s replacing a manual workflow or building an AI-first product, we’ve shipped it before.
AI chatbots & assistants
Support bots, sales assistants and internal copilots trained on your knowledge base. Streaming responses, memory, guardrails included.
RAG & document AI
Retrieval-augmented generation over your PDFs, wikis, and databases. Vector search with Pinecone, Weaviate, or pgvector.
Autonomous agents
Multi-step agents that call your APIs, browse the web, run code, and hand off to humans. Built on LangGraph or the OpenAI Agents SDK.
Document extraction & OCR
Turn invoices, contracts and forms into clean structured data. Combined vision + LLM pipelines with human-in-the-loop review.
Speech & call intelligence
Real-time transcription (Whisper, Deepgram), sentiment analysis, call scoring and AI coaching notes for sales & support teams.
Fine-tuning & evals
Custom fine-tunes for domain accuracy, plus proper evaluation harnesses so you can trust every prompt change before it ships.
Our process
Five steps from discovery to production — and we invite your team into every one.
- 1
Discovery & scoping
A 60-minute call plus a written brief. We define the job-to-be-done, success metrics, data sources, and any regulatory constraints.
- 2
Architecture & prompt design
We pick the right model, retrieval strategy, tools and fallback logic. You get a written architecture note and an eval plan before we write code.
- 3
Build & iterate
Weekly demos on a shared staging environment. We ship in tight loops so you can course-correct before we’ve painted the whole wall.
- 4
Evaluation & safety
Golden-set evals, red-team tests, PII scrubbing, and human-in-the-loop checkpoints where the risk warrants it. Nothing goes live blind.
- 5
Deploy, monitor & hand over
Deployed to your cloud, wired to your CI/CD, with monitoring, cost dashboards and prompt-version control. All artifacts transferred to your repo.
Tools & stack
Model-agnostic, cloud-agnostic. We pick what fits — and we’ll tell you why.
Frequently asked
What kind of AI projects do you build?
Which model providers do you work with?
How long does a typical AI project take?
Who owns the code and the trained artifacts?
Can you work with our security & compliance requirements?
Do you offer ongoing support after launch?
Send us a paragraph. We’ll reply within one working day with a scope, timeline and fixed fee — or we’ll honestly say it’s not the right fit.
Email info@priorio.ai