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AI Software Development

Custom AI software built for enterprise and startups.

We engineer custom AI platforms, LLM integrations, intelligent agents, and predictive models tailored to your business infrastructure.

Our AI capabilities

End-to-end AI engineering and solutions.

  • Custom LLM and generative AI application development
  • RAG (retrieval-augmented generation) and vector database pipelines
  • Autonomous AI agents and intelligent assistants
  • Machine learning model training and fine-tuning

Measurable outcomes

01

Rapid deployment of AI capabilities.

02

Enterprise-grade security and data privacy.

03

Substantial operational cost reduction.

120+AI & digital launches
99.9%Uptime reliability
40+Enterprise systems
2Global delivery hubs

Comprehensive AI development services

Everything needed to move from idea to production AI system.

Each engagement is shaped around your data, infrastructure, model choices, and the operational moments where AI creates the clearest value.

01

AI strategy and scoping

Assess data readiness, model options, and the highest-impact use cases for your business.

02

LLM application development

Build production-grade applications on GPT-4, Claude, Llama, and other leading models.

03

RAG and vector pipelines

Connect your knowledge base to a model with retrieval-augmented generation and vector search.

04

AI agents and assistants

Design autonomous agents that handle multi-step tasks, tool use, and decision workflows.

05

Model training and fine-tuning

Fine-tune and evaluate models against your own data for higher accuracy and relevance.

06

Deployment and monitoring

Ship to production with observability, cost controls, and ongoing performance tuning.

How we make your vision real

A precise process for turning digital ambition into a shipped system.

Our process keeps strategy, design, engineering, and launch decisions connected so the experience does not lose quality between phases.

01

Discovery phase

Understand the vision, audience, business goals, constraints, and product opportunity.

02

Architecture

Plan the structure, features, data flow, content model, and technical direction.

03

UI/UX design

Create intuitive journeys, premium visuals, responsive states, and conversion-focused layouts.

04

Front-end development

Bring the interface to life with fast, responsive, accessible, and polished implementation.

05

Back-end development

Build the server-side logic, databases, authentication, and stable operational foundation.

06

API integration

Connect third-party platforms, CRMs, payment systems, AI tools, analytics, and internal systems.

07

QA and testing

Check responsiveness, usability, performance, browser behavior, data flows, and edge cases.

08

Ongoing support

Improve the system after launch with optimization, maintenance, and new feature support.

Industries we serve

Built for markets where trust, polish, and usability matter.

We adapt the experience around the audience, transaction type, operational workflow, and brand expectations of each market.

SaaSEcommerceEducationFintechHealthtechReal estateLogisticsProfessional servicesAI operationsMarketplacesHospitalityCreator platforms

Technology stack

Frameworks and models that power production AI systems.

We choose the stack around your data, latency needs, security requirements, and long-term maintainability.

LLM providersVector databasesFrameworksCloud & DevOpsAutomation
OpenAI GPT-4Anthropic ClaudeLlama 3LangChainLlamaIndexPineconeQdrantAWS BedrockNode.jsPythonPostgreSQLREST APIs

Delivery model

From strategy to launch, every layer stays connected.

We pair AI strategy with interface craft, engineering quality, data pipelines, and evaluation, so the final system feels coherent from first click to model output.

AI product team planning model architecture

Discovery — Map the AI opportunity and data readiness

View related work
AI system architecture planning
Analytics dashboard and model interfaceBuild — Design, train, and connect the system

Useful reads

Ideas for better AI-powered products.

Short notes on AI, automation, product systems, and conversion-led digital experiences.

Common questions

What AI frameworks and models do you support?

We build with OpenAI GPT-4, Anthropic Claude, Llama 3, LangChain, LlamaIndex, Pinecone, Qdrant, and AWS Bedrock.

How do you ensure data security with AI integration?

We implement SOC2-compliant data pipelines, zero-retention API configurations, and isolated private vector databases.

What is the typical development timeline?

Initial AI prototypes take 2–3 weeks; production-grade enterprise AI applications are typically deployed in 6–10 weeks.

Can Vordx handle design and development together?

Yes. Every engagement is structured to keep strategy, design, and engineering connected under one team — no separate agencies, no handoff friction.

Build custom AI

Ready to build custom AI software for your business?

Bring us the idea, product, workflow, or brand moment. We will shape it into a premium experience built to launch, scale, and convert.

Start your AI project