VisionsCraft
Agents · Private RAG · Voice · Automation

Production AI engineering

for Shopify merchants, for 3PL teams, for funded startups

We build the AI agents and automation that take order-status calls and manual updates off your team, and keep them running after launch.

Our team has delivered 130+ projects for UK and European clients across AI agents, multi-agent systems, custom GPTs, workflow automation and business process automation.

130+
Projects delivered in Europe
12
Flagship AI products
US hours
Overlap with US business hours
100%
Client code ownership

Where operations teams lose their week

If any of this sounds familiar, it is usually fixable.

“Where is my order?” fills the phone queue

Your support team answers the same status questions all day, while customers with a real problem wait.

What we build: A voice or chat agent answers from live order data and hands only the exceptions to a person.

For Shopify merchants

Inventory and order data gets re-keyed by hand

Someone copies numbers between the store, the warehouse system and a spreadsheet, and the mistakes surface as stockouts and angry emails.

What we build: Automation keeps those systems in step and raises a flag when counts disagree, so people review exceptions instead of typing.

For 3PLs and logistics

Shoppers can’t find what they came for

Rules and bestseller lists hide most of the catalog, and nobody can explain why a product was shown.

What we build: Private retrieval over your own catalog ranks products by intent, with a reason your merchandisers can read.

For Shopify merchants

Your roadmap is waiting on engineers

A funded build with a clear scope should not sit in a hiring pipeline while the window to ship closes.

What we build: We build the first production version, with the founders who scoped it working on it.

For funded startups

Core AI products

Flagship systems across agents, retrieval, voice and outbound

Nexora Agentic IDE product screenshot
Agentic IDE

Nexora Agentic IDE

The problem: Unattended coding agents can ship risky changes.

What we built: Our own agentic IDE, where a human approves the plan before any high-impact code, repository or deploy step runs.

View case study
DeckVoice product screenshot
Meeting agent

DeckVoice

The problem: Presenting a deck live means a person has to be in every meeting.

What we built: An agent that joins the meeting as a presenter and answers only from the uploaded deck.

View case study
Private RAG Product Recommender product screenshot
Ecommerce

Private RAG Product Recommender

The problem: Bestseller lists and static rules hid most of a large catalog.

What we built: A private recommender that ranks from the store’s own product knowledge and shows merchandisers why.

View case study
ReachPilot product screenshot
Outbound

ReachPilot

The problem: Mail-merge stays generic and keeps sending after someone replies.

What we built: Personal email per lead from your own inboxes, where a reply or bounce stops the sequence.

View case study
Schmoozzer Agentic GTM product screenshot
Agentic GTM

Schmoozzer Agentic GTM

The problem: Sales stacks fragment across CRM, email tools and social DMs.

What we built: One product for contacts, multi-channel outreach and pipeline, with a Chrome extension where sellers work.

View case study
MrBot Call Agent product screenshot
Voice agent

MrBot Call Agent

The problem: Missed calls and after-hours voicemail cost bookings.

What we built: A phone agent that answers 24/7, books into the calendar and writes the CRM notes.

View case study

How we work

One workflow at a time, in production

  1. Scope one workflow

    We pick the process that costs you the most time and agree what “working” means before anything is built.

  2. Build it in production

    Agents, retrieval and integrations built into the systems you already use, with evaluation in place from the start.

  3. Run it with you

    Operator views, logs and human hand-offs so your team can see what the system did and step in when it should.

Why teams pick an engineering firm

What separates us from a generic AI agency. See the comparison.

Production, not demos

Twelve production systems across agents, private RAG, voice, orchestration and ecommerce, each documented as a case study with its architecture and stack.

Private by design

Retrieval runs over your own catalog or documents. Your data is not pooled into a shared index.

Humans stay in control

Approval gates for risky actions, identity checks before writes and audit logs, because an agent that cannot be supervised should not be live.

We run what we recommend

ReachPilot, Schmoozzer and DeckVoice are our own products. The three co-founders scope every engagement and stay involved through delivery.

Meet the founders

Three co-founders who scope every project and stay involved through delivery.

Latest from Our Blog

Insights, trends, and knowledge from our AI experts

AEO and GEO for AI Overviews Citations
September 18, 2026

AEO and GEO for AI Overviews Citations

Search Central vs ChatGPT/Perplexity, zero-click citation KPIs, and vendor tests we ship.

Read Article
Model Context Protocol for Production Agents
September 18, 2026

Model Context Protocol for Production Agents

Stateless MCP, corporate auth, and write-tool gates for coding and workplace agents.

Read Article
Cursor Projects Coding Agent Coordinators Need HITL
September 16, 2026

Cursor Projects Coding Agent Coordinators Need HITL

What Cursor Projects means for production coordinators: HITL gates, egress, and merge locks.

Read Article

Technology we build with

Platforms and model providers our systems run on. These are tools we use, not clients, and none of these companies endorse VisionsCraft.

AWSAzureMicrosoftMetaOpenRouterGradioGoogleNVIDIA

What is eating your team's week?

Tell us the process that costs you the most time. We will tell you honestly whether AI is the right fix and what a first project would look like.

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