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AI Build

Custom AI Systems Built to Production in 8–12 Weeks.

AI agents, LLM applications, and RAG systems — designed for your workflows, integrated with your stack, and delivered to production with full documentation and team training. Bespoke engagement. No hourly billing.

8–12 Weeks to production
Bespoke Custom-scoped engagement
2 Wks To working prototype

Three types of AI systems. One team.

We build the full range of production AI applications — from autonomous agents to intelligent document pipelines.

Type 01

Custom AI Agents

Autonomous or semi-autonomous agents that take actions on your behalf — researching, drafting, deciding, and executing within defined guardrails.

Sales research agent Support triage agent Document review agent
Type 02

LLM Applications

Production applications built on large language models — for document processing, content generation, classification, summarisation, and extraction.

Contract summariser Report generator Email classifier
Type 03

RAG Systems

Retrieval-augmented generation systems that let your team query internal knowledge bases, documentation, or historical data in natural language.

Internal knowledge Q&A Policy assistant Product documentation AI

Production-grade technology. Vendor-agnostic.

We recommend what fits your requirements — not what we prefer. You own the IP, the infrastructure, and the stack.

LLM Providers
OpenAI / GPT-4o Anthropic Claude Google Gemini Open-source (Llama)
Frameworks
LangChain LlamaIndex Haystack AutoGen
Vector & Data
Pinecone Weaviate pgvector Qdrant
Deployment
AWS / Azure / GCP Docker / Kubernetes FastAPI / Node Your existing infra

From brief to production.

Every AI Build follows the same structured process. You see working software in two weeks, not twelve.

Week 1
Discovery & Architecture
We map your requirements, integrations, data sources, and success criteria. Architecture is defined before any code is written.
01
02
Week 2
Working Prototype
A functional prototype demonstrating core behaviour. You interact with it, test it, and give feedback before full build begins.
40% milestone — first invoice
Weeks 3–6
Full Development
Complete system development. All integrations built, error handling implemented, security layers applied, and monitoring configured.
03
04
Weeks 7–9
Testing & Refinement
Rigorous testing across real-world scenarios. Evaluation metrics tracked. Behaviour validated against edge cases and failure modes.
30% milestone — second invoice
Weeks 10–12
Go-Live & Handover
Production deployment. Full documentation. Team training. 30-day post-launch support window. You own everything — code, IP, infrastructure.
05

Bespoke engagement. No hourly billing. Ever.

AI Build

Custom Scoped
Bespoke engagement · Investment agreed before work begins

Every engagement is scoped during the discovery consultation based on your system complexity, integrations required, and data infrastructure. Investment confirmed in writing before we begin — billed in three milestone payments. No surprises.

Billing structure
40%
On signing
30%
Prototype approved
30%
Go-live
USD AED GBP AUD INR
Book a Discovery Call
Included in every build
  • Discovery workshop and architecture document
  • Working prototype in week 2
  • Full production system development
  • All third-party API integrations
  • Security review and data handling controls
  • Evaluation and testing against your use cases
  • Deployment to your cloud environment
  • Full codebase and IP ownership transferred
  • Technical documentation
  • Team training session
  • 30-day post-launch support

Common questions.

What types of AI systems does CyberCore build?

We build custom AI agents (autonomous and semi-autonomous), LLM applications (document processing, content generation, classification), RAG systems (retrieval-augmented generation for internal knowledge), workflow automation with AI, and conversational interfaces. All systems are built to production standards — not demos or POCs.

How long does a custom AI build take?

Most projects are delivered to production in 8–12 weeks. You see a working prototype in the first 2 weeks. Final timeline depends on system complexity, number of integrations, and data infrastructure requirements.

Do I need to provide data or infrastructure?

We assess your existing data and infrastructure during the discovery phase. We can work with your existing cloud environment (AWS, Azure, GCP) or recommend and set up infrastructure as part of the build. You do not need anything in place before we start.

Who owns the code and IP?

You do. All source code, architecture documentation, and IP is transferred to you in full at go-live. CyberCore retains no ownership, no back-door access, and no licensing rights. The system is entirely yours.

Ready to build your AI system?

Book a discovery call. We'll scope your requirement, give you an honest assessment, and confirm your engagement before any work begins.

Book a Discovery Call
Scope and investment confirmed before work starts.