Generative AI development

Generative AI Development Services - Custom LLM & GenAI Solutions

From LLM integration and RAG systems to custom AI copilots and GPT-powered products – PiTangent builds production-ready Generative AI for businesses in USA, UK, GCC and India.

What Is Generative AI Development?

Generative AI development is the process of building software that uses large language models (LLMs) to generate text, code, images or decisions. This includes integrating LLMs like GPT-4 or Claude into products, building RAG systems that ground AI on your business data, and developing custom AI models trained on your domain.

The result: smarter products, automated workflows and personalised customer experiences.

Our Generative AI Services

End-to-end development, deployment, and optimization of autonomous AI agents

LLM Integration

We build custom autonomous AI agents that independently plan multi-step tasks, make contextual decisions, use external tools and APIs, and execute complex workflows without constant human supervision. Our agents handle everything from customer inquiries to financial reconciliation, adapting to exceptions and learning from outcomes in real-time production environments.
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RAG Development

We design and deploy coordinated multi-agent ecosystems where specialized AI agents collaborate, delegate tasks, share knowledge through centralized memory systems, and solve enterprise-scale problems that single agents cannot handle. Think orchestrated AI teams working 24/7 across departments, geographies and systems.
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Generative AI Consulting

We automate end-to-end business processes using Agentic AI that understands your workflows, adapts to changing rules, handles unstructured inputs like emails and PDFs, flags exceptions for human review, and continuously optimizes performance. From lead-to-close sales pipelines to invoice-to-payment cycles - fully autonomous, fully auditable.
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Custom LLM Fine-Tuning

We assess your current operations, identify high-ROI automation opportunities, model cost-benefit scenarios, define agent architectures and scopes, and build a phased implementation roadmap. Whether you are starting with a single proof-of-concept agent or planning an enterprise-wide AI transformation, we map the path from manual to autonomous.
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AI Copilot Development

We combine Agentic AI with Retrieval-Augmented Generation (RAG) to build agents that answer questions, generate reports, and make decisions grounded in your proprietary data. Agents query vector databases, retrieve relevant documents, synthesize insights, and cite sources - ensuring accuracy, explainability and compliance.
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AI Content Generation Systems

We combine Agentic AI with Retrieval-Augmented Generation (RAG) to build agents that answer questions, generate reports, and make decisions grounded in your proprietary data. Agents query vector databases, retrieve relevant documents, synthesize insights, and cite sources - ensuring accuracy, explainability and compliance.
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Generative AI for SaaS

We combine Agentic AI with Retrieval-Augmented Generation (RAG) to build agents that answer questions, generate reports, and make decisions grounded in your proprietary data. Agents query vector databases, retrieve relevant documents, synthesize insights, and cite sources - ensuring accuracy, explainability and compliance.
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AI Readiness Assessment

We combine Agentic AI with Retrieval-Augmented Generation (RAG) to build agents that answer questions, generate reports, and make decisions grounded in your proprietary data. Agents query vector databases, retrieve relevant documents, synthesize insights, and cite sources - ensuring accuracy, explainability and compliance.
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GenAI Solutions by Segment

GenAI for Startups

Build AI-native products faster. LLM-powered MVPs, AI SaaS features, investor-ready AI demos.

  • • AI writing assistant
  • • Smart onboarding bot
  • • Automated email personalization

GenAI for SMEs

Automate your highest-volume knowledge work. Connect AI to your business data.

  • • RAG-powered customer support
  • • AI-generated reports
  • • Intelligent document processing

GenAI for Enterprises

Custom fine-tuned models, enterprise RAG, AI governance at scale.

  • • Internal knowledge management AI
  • • Compliance document AI
  • • AI-powered analytics

Our 6-Stage Development Process

STEP 01

Discovery & Requirements

Use case validation, data audit, model selection

STEP 02

Architecture Design

RAG vs fine-tuning decision, infrastructure planning

STEP 03

Prototype & Validation

Working demo, accuracy benchmarking

STEP 04

Full Development

Production build, integrations, safety testing

STEP 05

Evaluation & Testing

LLM evaluation, hallucination testing, bias assessment

STEP 06

Deployment & Monitoring

LLMOps, performance dashboards, iteration

Our Agentic AI Technology Stack

Industry-leading frameworks and platforms for enterprise-grade AI agents

Open Source Models
Open Source Models
Open Source Models
Open Source Models
Open Source Models
Development Frameworks
Development Frameworks
Development Frameworks
Development Frameworks
Development Frameworks
Vector Databases
Vector Databases
Vector Databases
Vector Databases
Vector Databases
Cloud
Cloud
Cloud
Cloud

Pricing Guide

Transparent pricing for AI development projects. All projects include: IP ownership, NDA, GDPR-compliant data handling, full source code

LLM Integration
4-6 weeks
  • OpenAI / Claude / Gemini integration
  • Prompt engineering setup
  • API & backend connectivity
  • Basic admin dashboard
  • Authentication & security
  • Deployment support
Get Custom Quote
Custom AI Copilot
8-16 weeks
  • Personalized AI assistant
  • Workflow automation
  • CRM / ERP integrations
  • Multi-role access management
  • Context-aware conversations
  • Analytics & usage tracking
Get Custom Quote
Custom Fine-tuned Model
12-24 weeks
  • Domain-specific model training
  • Proprietary dataset preparation
  • Model optimization & evaluation
  • High-accuracy response tuning
  • Dedicated inference pipeline
  • Enterprise-grade deployment
Get Custom Quote
LLM Integration
4-6 weeks
  • OpenAI / Claude / Gemini integration
  • Prompt engineering setup
  • API & backend connectivity
  • Basic admin dashboard
  • Authentication & security
  • Deployment support
Get Custom Quote
Custom AI Copilot
8-16 weeks
  • Personalized AI assistant
  • Workflow automation
  • CRM / ERP integrations
  • Multi-role access management
  • Context-aware conversations
  • Analytics & usage tracking
Get Custom Quote
Custom Fine-tuned Model
12-24 weeks
  • Domain-specific model training
  • Proprietary dataset preparation
  • Model optimization & evaluation
  • High-accuracy response tuning
  • Dedicated inference pipeline
  • Enterprise-grade deployment
Get Custom Quote

Fast Answers for Serious Buyers

Clear info on cost, IP, staffing, time zones, and compliance.

Generative AI development is the process of building AI-powered applications using large language models (LLMs) such as GPT-4, Claude or Llama. It includes integrating LLMs into existing software, building RAG systems that draw on your proprietary data, and creating custom AI models trained for your industry. The outputs can be text, code, images, decisions or automated workflows.

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Book a quick consult or get a cost & timeline estimate.

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