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AI Engineering

AI that works on Monday, not just in the demo.

We build agents, retrieval systems and LLM features that plug into your real tools, get measured against real cases and stay safe with a human in the loop.

  • AI agents
  • RAG
  • LLM apps
  • Evaluation
  • Guardrails
  • MLOps
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AI agents, RAG, LLM apps, Evaluation, Guardrails, MLOps

What we deliver

What We Build With AI. 

From a single workflow agent to AI features inside your product.

  • Workflow agents

    Agents that read emails, update your CRM, chase invoices and hand off to a human when unsure.

  • RAG and knowledge search

    Answers grounded in your own documents, with sources cited and permissions respected.

  • Chat and voice assistants

    Customer and staff assistants on web, WhatsApp and phone that know your policies.

  • LLM product features

    Summaries, drafting, classification and extraction built into the product you already have.

  • Evaluation and monitoring

    Test sets, scoring and dashboards so you know quality before and after every change.

  • Model selection and cost

    The right model for each task, with caching and routing to keep your bill predictable.

Our approach

From Workflow to Working Agent. 

We start with the job, not the model. Every agent earns its place with numbers.

  1. 01

    Map the workflow

    We sit with the people doing the work and write down every step, exception and system.

  2. 02

    Pick the payback

    We score each step for effort saved and risk, and start where the return is fastest.

  3. 03

    Build a golden set

    Real past cases become the test set the agent must pass before anyone relies on it.

  4. 04

    Prototype in days

    A working agent on your real data inside two weeks, run alongside your team.

  5. 05

    Add guardrails

    Permissions, approvals, rate limits and a clear hand-off to a person when confidence drops.

  6. 06

    Measure and improve

    Weekly quality scores, cost per task and time saved, reported every Friday.

Quality targets

Quality We Commit To. 

Agreed per workflow at kick-off, measured on your golden set.

  • Target95%+

    Golden-set accuracy

    before an agent acts without approval

  • Target100%

    Actions logged

    every tool call traceable and auditable

  • Target<3s

    Median response

    for chat and assistant replies

  • Target0

    Unreviewed high-risk actions

    payments and deletions need a human

Targets we agree at kick-off and report on every week. Your numbers go in the contract, not on a poster.

Tech stack

Tools We Know Well. 

We choose boring, proven tools by default and reach for new ones when they earn it.

Models

  • OpenAI
  • Anthropic Claude
  • Gemini
  • Llama
  • Mistral

Frameworks

  • LangChain
  • LlamaIndex
  • Vercel AI SDK
  • MCP
  • Pydantic AI

Retrieval

  • pgvector
  • Pinecone
  • Weaviate
  • Elasticsearch

Evaluation

  • Langfuse
  • Promptfoo
  • Ragas
  • OpenTelemetry

Channels

  • WhatsApp API
  • Twilio
  • Slack
  • Email
  • Web chat

Automation

  • n8n
  • Make
  • Zapier
  • Python
  • FastAPI

Related work

Work We're Proud Of. 

Projects where this discipline did the heavy lifting.

All case studies

Industries

Built for Regulated, Busy Industries. 

The same engineering discipline, tuned to the rules and rhythms of your sector.

Ways to work with us

Three Ways to Work With Us. 

Pick the model that fits your team today. You can switch as the project grows.

Questions We Hear Often. 

  • Will an AI agent make mistakes?

    Sometimes, which is why we measure it on your real cases before it goes live, and route anything risky or uncertain to a person for approval.

  • Is our data used to train models?

    No. We use providers and settings that don't train on your data, and can host open models in your own cloud if you need to.

  • Which model do you use?

    Whichever is best for each task on cost, speed and quality. We often mix models and can switch provider without rebuilding.

  • How quickly can we see something working?

    Usually within two weeks: a working agent on a slice of your real workflow, running alongside your team.

  • What does it cost to run?

    We estimate cost per task up front and track it weekly. Caching and model routing usually keep it well below the cost of the manual work.

  • Can it connect to our existing tools?

    Yes. CRMs, inboxes, spreadsheets, ERPs and custom databases, through their APIs or a secure integration we build.

Get in touch

Talk to our AI Engineering team.

Share a few lines about your idea, workflow or project. A senior lead replies within one business day.

  • Free 30-minute strategy call
  • NDA on request
  • Proposal within 48 hours
hello@vaug.in Our offices

We reply within one business day. No spam, ever.

Other disciplines

Explore Other Disciplines. 

Pick one workflow.
We'll show you the payback.

Free 30-minute strategy call · NDA on request · Proposal within 48 hours

Book a call