our priority practice

AI you can put into production — and a team that can run it.

We design, build, and deploy real AI systems — then coach and train your people so the capability stays in-house. No black boxes, no abandoned prototypes.

Scope an AI project See coaching & training
rag_pipeline.py
from fervonix import RAG, Eval

rag = RAG(
  retriever="hybrid",
  rerank=True,
  guardrails="strict",
)

score = Eval.run(rag, suite="golden")
# faithfulness 0.96 · latency 480ms
AI services

From prototype to production-grade

LLM applications

Assistants, copilots, and document automation grounded in your data — with prompt versioning and cost controls.

RAG & knowledge

Hybrid retrieval, reranking, and citation so answers are grounded, traceable, and trustworthy.

Agents & automation

Tool-using agents that take real actions behind guardrails, approvals, and full audit logs.

Evals & observability

Golden datasets, regression suites, and tracing so you can ship changes with confidence.

Private deployments

Run models in your VPC or on-prem. Your prompts and data never leave your boundary.

Fine-tuning & optimization

Distillation, fine-tuning, and caching to cut latency and cost without losing quality.

coaching & training

We don't just deliver — we enable

Programs run remotely or on-site, tailored to your stack and your team's level.

for engineers

AI Engineering Bootcamp

A hands-on program that takes engineers from "calling an API" to shipping evaluated, observable AI features.

  • Prompting, RAG & agents
  • Evals, guardrails & cost
  • Build a real feature in your repo
~6 weeks · cohort or 1:1
most requested

Team Coaching

Embedded coaching where we pair with your team on live work — reviewing architecture, code, and AI design in real time.

  • Weekly working sessions
  • Architecture & code review
  • Standards that outlast us
ongoing · monthly retainer
for leadership

AI Strategy Workshops

Half- and full-day workshops to help leaders separate hype from value and build a realistic AI roadmap.

  • Opportunity mapping
  • Risk, governance & cost
  • 90-day action plan
1–2 days · on-site or remote
the model

Build with us, then own it

Every AI engagement is paired with enablement, so capability transfers to your team by design — not as an afterthought.

01

Co-build the first system

We ship a production AI feature alongside your engineers, narrating every decision.

02

Coach through the next one

Your team leads the second feature; we review, pair, and unblock.

03

Hand off & advise

You own it fully. We stay on call for architecture and tough calls.

enablement.md
# Capability transfer checklist
[x] evals owned by your team
[x] runbooks + on-call docs
[x] prompt & model registry
[x] cost dashboards wired
[x] 2 engineers certified
› status: self-sufficient ✓

Make your team AI-fluent.

Tell us where you are today — a single workflow or a company-wide rollout — and we'll design the right mix of build + coaching.

Start the conversation