AI Systems  ·  Cloud Infra  ·  Production Deployment

Your AI idea deserves production.

We build AI-native systems that survive real users, real load, and real business pressure — from architecture to deployment in 30–60 days.

Trusted by teams shipping real products
Johnson & Johnson
Flikshop
Aidome
Octek
Seekmake
LLM Integration
RAG Pipelines
AI Agents
Cloud-Native Architecture
Real-Time AI
Vector Databases
Fine-Tuning
DevOps & IaC
Production Monitoring
Multi-Modal AI
LLM Integration
RAG Pipelines
AI Agents
Cloud-Native Architecture
Real-Time AI
Vector Databases
Fine-Tuning
DevOps & IaC
Production Monitoring
Multi-Modal AI

Most AI projects die
before launch.

The market is flooded with developers who can build a demo. Almost none of them can build a system.

GPT wrappers that look impressive in a Loom and collapse under real traffic

Freelancers who disappear after delivery, leaving you with undocumented spaghetti

Agencies that bill hours without caring about outcomes or uptime

Prototypes that break the moment the first 100 real users show up

You don't need another dev.
You need a system that survives production.

Vancroft builds the full stack — AI models, cloud infra, backend, deployment, monitoring — so your system works on day one and scales as you grow. We own the outcome, not just the ticket.

30d
Sprint to production
50+
Systems shipped
12+
Countries served
100%
Delivery transparency
See How We Build →

Six disciplines.
One integrated system.

Every engagement draws from all six. There's no handoff — it's one team, one outcome.

01
🧠

AI & LLM Systems

Production-grade integrations with OpenAI, Anthropic, and open-source models. Agents, tool-use, structured outputs. Not wrappers — systems.

GPT-4o Claude Llama Agents
02
🔍

RAG & Knowledge Systems

Vector search, document ingestion, hybrid retrieval. Build AI that actually knows your business — not just a hallucinating chatbot.

Pinecone Weaviate pgvector Embeddings
03
⚙️

Cloud-Native Infrastructure

AWS and GCP architecture designed to handle 10x your current load. Microservices, containers, IaC — built for scale from day one.

AWS GCP Terraform Docker
04
🚀

Full-Stack Product Dev

Backend APIs, real-time services, and production frontends. We build the product your users see, not just the AI layer underneath it.

FastAPI Next.js Django React
05
📡

AI Automation & Workflows

Autonomous pipelines, multi-step agents, and process automation that eliminates the manual work draining your team's time.

n8n LangChain Celery Webhooks
06
📈

Monitoring & Observability

LLM eval pipelines, latency tracking, cost monitoring, and incident response. You'll know your system is healthy before users don't.

LangSmith Datadog Sentry Grafana
50+
Systems Delivered
12+
Countries Served
30d
Sprint to Production
100%
Delivery Transparency

One sprint.
One production system.

The AI Product Sprint is our signature engagement — a fixed-scope, outcome-focused build that takes you from architecture to live deployment in 30–60 days.

No scope creep. No bloated retainers. A production system, delivered and documented.

Fixed
Scope & timeline
48h
Architecture review
0
Surprise invoices
🚀 AI Product Sprint

Launch Your AI System

30–60 days  ·  Fixed scope  ·  Production-ready
Architecture + AI strategy session
AI model integration (OpenAI, Anthropic, custom, RAG)
Full backend + frontend development
Cloud deployment (AWS / GCP) with IaC
Monitoring, alerting, and cost tracking
Full handoff documentation & runbooks
Architecture review response in 48h
Book a 20-min Build Call →

Systems we've shipped.

Real products. Real users. Real results — not agency portfolio theater.

AI Platform

SafeHorizon AI Course Platform

AI-powered platform that auto-generates full courses — lessons, visuals, audio, and structure — from a single prompt. Multi-modal pipeline orchestrated end to end.

Enterprise SaaS

Infralastic Device Management

Enterprise-scale MDM platform tracking and remotely managing thousands of devices with real-time monitoring, hardware inventory, and automated alerts.

AI + RAG

Shiran AI Communication Platform

Advanced RAG-powered AI with XML document processing, WhatsApp integration, and real-time intelligent responses tuned to specific enterprise knowledge bases.

Not a vendor.
A growth lever.

The difference between an agency that bills time and a team that owns outcomes.

What matters Freelancers & Agencies Vancroft
What they deliver Features and closed tickets Complete production systems
Scalability Built for demo, not load Cloud-native from day one
After delivery Disappears or renegotiates Monitoring + runbooks included
AI depth GPT wrapper at best LLMs, RAG, agents, fine-tuning
Strategic input Executes your spec only Co-builds architecture & roadmap
Predictability Scope creep, timeline drift Fixed-scope sprints, clear outcomes

From idea to
production in 4 phases.

A sprint model designed to eliminate uncertainty and ship fast.

01

Architecture Session

We map your system in a working session — AI requirements, data flows, infra constraints, integrations. Output: a concrete build plan.

48h response
02

Sprint Kickoff

Fixed scope agreement, dedicated team assigned, environments provisioned. Week one starts with working code — not slides.

Week 1
03

Build & Iterate

Async standups, weekly demos, full visibility. You see the system take shape in real-time — not a black box reveal at the end.

Weeks 2–6
04

Ship & Hand Off

Production deployment, monitoring live, docs written, team trained. You own the system entirely — no lock-in, no dependency.

Day 30–60

Build something real.

Most teams spend 6 months on prototypes that never ship. We'll map out your entire system architecture in 20 minutes — no commitment, no pitch deck.

No commitment. No NDA required. Just a conversation about what you're building.