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AI Development

We build custom AI-powered applications — LLM products, generative AI features, and AI-enhanced SaaS — designed around real business problems and production workloads.

Custom AI ApplicationsLLM Application DevelopmentGenerative AI FeaturesAI SaaS Products
Quick Proposal Intake

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What We Deliver

Specifications & Scope Under AI Development

Option 01 AI Application: 3-8 weeks

Custom AI Application Development

We design and build custom AI applications end to end: the product experience, the AI pipeline, the data layer, and the deployment. The result is a working AI product your team actually uses — not a demo.

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What You Get
  • Working AI application or AI feature set
  • Backend and data pipeline documentation
  • Cost monitoring and usage controls
  • Deployment and maintenance handover
Project Steps
  1. 1.Discovery: define the AI use case and success criteria
  2. 2.Architecture: model selection, data flow, and cost design
  3. 3.Build: application, AI pipeline, and integrations
  4. 4.Test: accuracy checks, edge cases, and safety limits
  5. 5.Deploy: hosting, monitoring, and team training
Technologies Used
OpenAI / Claude ModelsPython + Next.js Stack
PythonFastAPINext.jsTypeScriptPostgreSQLOpenAIAnthropicLangChain
Key Details Needed
  • 1.What business problem should the AI application solve?
  • 2.What data or documents will the AI work with?
  • 3.Who will use the application, and how many users?
Option 02 LLM / RAG System: 2-5 weeks

LLM Applications & RAG Systems

We build LLM applications that answer questions from your own documents and data using retrieval-augmented generation (RAG). Ideal for internal knowledge bases, customer support, and research tools.

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What You Get
  • Document Q&A system or knowledge assistant
  • Ingestion pipeline for your files and data
  • Admin dashboard for content management
  • Usage analytics and cost limits
Project Steps
  1. 1.Identify the knowledge sources and question types
  2. 2.Design the retrieval pipeline and vector storage
  3. 3.Build the Q&A interface and source citations
  4. 4.Test accuracy and set permission boundaries
  5. 5.Deploy and train your team
Technologies Used
RAG Pipeline (LangChain)Vector Search (Pinecone)
OpenAIAnthropicLangChainPythonFastAPIPineconePostgreSQL
Key Details Needed
  • 1.What documents or data sources should the AI answer from?
  • 2.Who are the primary users of the system?
  • 3.Do you need the assistant inside an existing product or as a new tool?
Common Questions

AI Development FAQs

What does AI development include?

AI development covers the full lifecycle of an AI-powered product: defining the use case, choosing the right model and architecture, building the application, connecting your data, testing for accuracy, and deploying with monitoring.

What kinds of AI applications do you build?

We build custom AI applications such as intelligent assistants, content generation tools, document analysis systems, recommendation engines, AI-powered dashboards, and AI features embedded into SaaS products.

Do you train custom AI models?

Most business AI applications do not need custom model training. We build on production-grade foundation models (OpenAI, Anthropic) and fine-tune only when a specific task genuinely requires it — we will tell you if it does or does not.

How much does custom AI development cost?

A focused AI application typically starts around $3,000 and scales with complexity — integrations, data volumes, and number of features. Every project is quoted with fixed milestone pricing after a short scoping call.

What AI models do you use?

We use production-grade foundation models from OpenAI (GPT-4o, GPT-4) and Anthropic (Claude 3.5 Sonnet). Model selection depends on your use case, budget, latency requirements, and data privacy needs. We never lock you into a single provider.

How do you ensure AI accuracy and safety?

We implement evaluation sets, guardrails, human-approval gates for sensitive actions, retrieval grounding (RAG) for factual accuracy, and comprehensive logging. Every AI feature includes cost controls, rate limits, and monitoring dashboards.

Can you integrate AI into our existing software?

Yes. Our AI Integration service adds AI chatbots, document Q&A, and generative features to your existing website, app, or SaaS. See our AI Integration service for details.

What is the difference between AI Development and AI Integration?

AI Development builds new AI-powered applications from scratch. AI Integration adds AI features (chatbots, document search, writing assistants) into software you already have. Both use the same underlying models but differ in scope and architecture.

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