AI Application Layer Engineering

The infrastructure between AI models and real business outcomes

We design and build the application layer that makes AI operational — integrating intelligence into workflows, data, and decision systems. Have a prototype already? Bring it. We'll architect and build the real thing.

85%reduction in monitoring time
Weeksnot months, to production
100%codebase ownership
Security & Surveillance
Live
CAM 1
CAM 2
Person 94%
CAM 3
CAM 4
Motion detected · Zone 3 · 2s ago
Technical depth

The right techniquefor the right problem.

We don't apply AI generically. Every system we build uses the approach that fits the problem — chosen for precision, not trend.

RAG + Vector Search
Your knowledge base changes and needs to stay current inside the AI
Fine-tuning
A general model isn't precise enough for your domain or terminology
Semantic Search
Users need to find things by meaning and context, not just keywords
LLM Orchestration · Production pattern
1"color:#475569"># Agent with "color:#93c5fd">memory + tool use
2"color:#93c5fd">agent = "color:#c4b5fd">build_agent(
3 "color:#93c5fd">llm="color:#c4b5fd">ChatOpenAI(model="gpt-4o"),
4 "color:#93c5fd">tools=[search_tool, db_query_tool, alert_tool],
5 "color:#93c5fd">memory="color:#c4b5fd">ConversationSummaryMemory(),
6 "color:#93c5fd">system_prompt="color:#c4b5fd">load_system_prompt("ops-">agent"),
7)
8"color:#93c5fd">result = "color:#93c5fd">agent.invoke({"input": user_query})
Models
GPT-4o
Claude
Llama 3
Mistral
Custom fine-tuned
Vision
YOLO v8
OpenCV
Custom pipelines
Orchestration
LangChain
Custom agent frameworks
RAG pipelines
Backend
Django
FastAPI
Node.js
Data
PostgreSQL
Redis
pgvector
Pinecone
Infrastructure
Docker
AWS
DigitalOcean
CI/CD
Applied AI

What AI integration looks like in business automation

Before
Calendar App
Email
Spreadsheet
Booking Tool

Missed leads · Disconnected data · No visibility

After — AI integrated
All Data SourcesSetosys AI LayerAuto CRMWebsite + BookingAuto Follow-upZero Missed Leads
One platform replacing six disconnected tools

See your industry here?

Tell us about your system
How we work

Systematic. Owned. Operational.

Every engagement follows a disciplined process — designed to deliver working systems, not status updates.

01

Understand the System

We start by mapping your existing environment — data sources, workflows, infrastructure, and the specific outcomes that matter. No assumptions, no generic frameworks.

  • AI-guided discovery session on setosys.ai
  • Existing architecture and data landscape review
  • Opportunity identification with clear prioritization
Spec first
02

Architect & Specify

We produce a full architectural specification — technology choices, data model, delivery plan, phased rollout. You review it, request changes, and sign off before we write a line of code.

  • Full architectural specification document
  • Technology selection with rationale
  • Phased delivery plan with milestones you approve
03

Engineer the Layer

We build from the signed specification — integrating intelligence directly into your workflows, APIs, and data paths. Iterative, observable, and built to last.

  • Architecture designed for your stack and scale
  • AI model integration with production-grade reliability
  • Full-stack development with continuous quality assurance
04

Deploy, Operate, Evolve

We deploy to your infrastructure, hand over full ownership, and support as you scale. The system is yours — we make sure it stays excellent.

  • Deployment to your cloud environment with full credentials
  • Monitoring, observability, and performance baselines
  • Ongoing support and capability expansion as you grow

We produce a full architectural specification before writing a single line of code. You review it, request changes, and sign off. Only then do we build.

Try the discovery platform →

Every engagement ends with a complete handover — source code, infrastructure, credentials. We don't create dependencies.

Systems We've Shipped

Production platforms built for real environments, real complexity, and real outcomes.

Security Infrastructure

Enterprise AI surveillance platform replacing legacy NVR systems

AI-Powered Video Management System

The Challenge

A security-focused enterprise needed to move beyond passive recording — integrating AI detection across cameras from Axis, Sony, and other hardware vendors, each with different APIs and data formats.

What We Built

We built a custom NVR/VMS platform with hardware-agnostic camera integration, native support for vendor AI where available, and custom YOLO-based detection pipelines where it wasn't. Full-stack, containerized, and deployed on client infrastructure.

Outcomes

  • Hardware-agnostic integration across major IP camera vendors
  • Real-time object detection and recognition in production
  • Custom ML pipeline where vendor AI was unavailable
  • Fully client-owned — code, infrastructure, credentials

Built AI surveillance systems for security-focused enterprises. Scope yours →

Start a discovery session
Data Operations

Multi-source ML platform for forecasting, detection, and process optimization

Data Intelligence Platform

The Challenge

An organization with fragmented data sources needed a unified platform to run machine learning models across their operations — without rebuilding their existing data infrastructure.

What We Built

We designed and built a platform with connectors for diverse data sources, ML model execution pipelines, and interactive visualization. Forecasting, anomaly detection, and process optimization running in a single system.

Outcomes

  • Unified ingestion from multiple disparate data sources
  • Forecasting and optimization models in production use
  • Interactive dashboards for operational decision-making
  • Modular architecture allowing new models without rebuilding

Built data intelligence platforms across industries. Describe your data problem →

Start a discovery session
Intelligent Platforms

AI business operating system — CRM, website, assistant in one platform

AI Business Management Platform

The Challenge

Small service businesses were running on disconnected tools — separate booking systems, no CRM, no web presence — with no technical capacity to integrate them.

What We Built

We built a platform where a business's AI assistant knows everything about their operation, manages client relationships, runs their booking and website widgets, and handles day-to-day communication — all from a single system.

Outcomes

  • AI assistant with full business context and memory
  • Integrated CRM with client history and communication
  • Website builder with booking, chatbot, and lead capture
  • Single platform replacing 4–6 disconnected tools

Built AI-native business platforms for service companies. Scope your system →

Start a discovery session
Our Platform

Start with a specification.

Before we build, we architect. Use our AI-powered discovery platform to define your system — our team builds it from the signed-off spec.

S
Setosys AI
Live

Our AI-powered design studio. Describe what you need — our AI conducts a structured discovery session, produces a full architectural specification, and our team builds it. You own the code.

  • AI-guided discovery in under 30 minutes
  • Full architectural specification before any code
  • Progress tracking from spec to delivery
  • Live demo portfolio of completed systems
Discovery

AI conducts a structured interview — business context, entities, workflow, tech requirements

Specification

Full architectural spec generated — stack, data model, delivery plan — for your review

03
Sign OffNow

You approve the spec. No code written until you're satisfied with the architecture.

04
Build & Deliver

Our team builds from the spec. You track progress and receive the full Docker package.

About Setosys

We build AI-powered systems that operate in the real world — not in demos.

AI Models
Application Layer
Business Operations

Where Setosys operates

We build platforms, not prototypes.

Every system we've shipped runs in production. The AI surveillance platform handles live camera feeds. The data intelligence platform runs forecasting models on real operational data. The business OS manages real client relationships. We don't experiment on your budget.

The application layer is where AI gets hard.

Anyone can call an API. The difficult work is integrating AI reliably into existing workflows, data environments, and operational systems — with the security, observability, and maintainability that production demands. That's where we operate.

You own everything.

Every engagement ends with a complete handover — source code, infrastructure, credentials, documentation. We don't hold anything back and we don't create dependencies. Our value is in what we build, not in keeping you reliant on us.

Start a project

Describe your system.
We'll architect it.

Start with a discovery session on setosys.ai. Our AI asks the right questions, produces a full architectural specification, and our team builds it. No commitment until you sign off on the spec.

Discovery session in under 30 minutes
Full specification before any code
You own everything we build

Prefer email? info@setosys.com · setosys.ai is our discovery and build platform