Generative AI Development That Ships to Production
We are the engineering team behind 320+ generative AI development projects for startups and Fortune 500 companies. Custom generative AI solutions, OpenAI integration services, RAG pipelines, AI agents - built to run in production, not just in demos.
- 320+
GenAI Projects
- 4×
Avg. ROI in 12 month
- 98%
Client Satisfaction
90% Fewer AI Hallucinations
48 Hours Rapid Developer Onboarding
10x Speed with AI-First Development
Production Grade LLM Development
OUR CUSTOMERS
Trusted by startups and Fortune 500 companies
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Core Services
Our Generative AI Development Service Lines
We are not a strategy consultancy that also does AI. We ship code. Here are the six service lines where our generative AI software development team has the deepest production experience.
Must-Have Development Skills
Efficiency (Speed)
Quality (Bug-Free Code)
Adherence to Best Practices
LLM-Powered Chatbots & Assistants
Customer service bots, internal knowledge assistants, sales copilots. Real conversational AI powered by our OpenAI integration services, Claude, or open-source alternatives - not scripted IVR bots from 2015.
RAG Pipelines & Private Knowledge Bases
Connect any LLM to your private data - PDFs, databases, SharePoint. The model answers from your information, not guesses. Hybrid search, citation grounding, access-control layers your legal team will approve.
AI Content & Copy Generation Engines
Product descriptions, marketing emails, blog drafts - all generated in your brand voice. Our custom generative AI solutions include fine-tuning pipelines so the model learns your style, not a generic one.
AI Agents & Workflow Automation
Autonomous agents that execute multi-step tasks - researching, writing, emailing, updating CRMs, triggering downstream systems. Agentic generative AI app development with human-in-the-loop guardrails.
Document Intelligence & IDP
Invoices, contracts, medical records - our document AI extracts, classifies, summarises and routes information that used to take humans hours. Multimodal LLMs handle scanned PDFs, tables and hand-written forms.
LLM Fine-Tuning & Custom Model Training
For the 10% of use cases where off-the-shelf models won't cut it. LoRA/QLoRA fine-tuning on your domain data, full SFT pipelines for specialised tasks and RLHF alignment for zero-margin-for-error outputs.
Every Platform. One AI Partner
Generative AI Works Everywhere You Work
The misconception we bust every week: "AI is only for web apps." Wrong. Our generative AI software development team has shipped production AI across every major platform - from the browser to the factory floor.
Must-Have Development Skills
Efficiency (Speed)
Quality (Bug-Free Code)
Adherence to Best Practices
Web Applications
React, Next.js, Vue, Angular - we embed generative AI app development directly into your web stack. AI-powered search, dynamic content, smart forms, real-time summarisation - all running under 300ms API latency.
Mobile Apps (iOS & Android)
React Native and Flutter with on-device inference for privacy-sensitive features and cloud-backed LLM calls for complex reasoning. We architect the right blend for your generative AI for enterprise mobile requirements.
Cloud-Native APIs
We build AI-powered REST and GraphQL APIs on AWS, GCP, and Azure that any of your other services can consume. AI as a shared internal service - your CRM, ERP and marketing tools all call one smart endpoint.
On-Premise Deployment
Banking, healthcare, government - regulated industries need custom generative AI solutions on private infrastructure. We deploy open-source LLMs (LLaMA, Mistral, DeepSeek) fully air-gapped. Your data never leaves your walls.
Desktop Applications
Electron, Tauri, or native C#/.NET - desktop apps are an untapped opportunity for generative AI development. Local document intelligence, offline voice assistants, AI-powered reporting tools - zero cloud dependency.
IoT & Edge AI
Tiny language models on NVIDIA Jetson or Raspberry Pi - edge generative AI app development is growing fast. Smart manufacturing alerts, predictive quality control, field diagnostics - AI at the point of action.
Using Generative AI vs Developing with Generative AI
| Just Using AI ChatGPT / Copilot as a tool | Building AI-Native Products Custom generative AI solutions |
|---|---|
| Time: Manual copy-paste between tool and workflow. Adds steps, doesn't remove them. | Time: AI is wired into the workflow - saves 4–8 hours per employee per day, automatically. |
| Smartness: Generic intelligence - knows nothing about your data, your context, your customers. | Smartness: Trained or grounded on your proprietary data - understands your products, customers, history. |
| Brand Reputation: Outputs sound like everyone else using the same tool. No differentiation. | Brand Reputation: Your AI, your voice, your interface. A branded experience customers remember and prefer. |
| Hours Saved: Marginal - saves 30–60 min per person per day with discipline. | Hours Saved: Thousands of hours per quarter. Measurable, auditable, shown on your P&L. |
| Data Security: Proprietary data potentially sent to third-party training sets with consumer plans. | Data Security: Enterprise API tiers with no training opt-outs, PII redaction and optional on-premise deployment. |
| Competitive Moat: Zero. Your competitor can do exactly the same thing tomorrow morning. | Competitive Moat: Proprietary AI capability is a real defensible advantage. Compounding returns over time. |
| Revenue Impact: Indirect, hard to measure, rarely shows up in P&L. | Revenue Impact: Direct: 3× conversion, 2× support capacity, 10× content - all measurable, all real. |
Use Cases We Have Delivered - By LLM & Outcome
| Use Case | LLM Used | Industry | Key Outcome | Approach |
|---|---|---|---|---|
| Customer Support Chatbot | GPT-4o | eCommerce | ✓ 72% ticket deflection | RAG + conversation memory |
| Contract Review Assistant | Claude 3.5 Sonnet | Legal | ✓ 85% review time saved | Long-context RAG + citation |
| Clinical Note Summarisation | GPT-4o | Healthcare | ✓ 40 min/day saved per doctor | HIPAA-compliant RAG + PII redaction |
| Product Description Engine | GPT-4o mini | Retail | ✓ 10× content velocity | Brand voice fine-tune + batch API |
| Financial Report Analyser | Gemini 1.5 Pro | Finance | ✓ 3× analyst productivity | Multimodal RAG (PDF+tables) |
| On-Prem AI Assistant | LLaMA 3.1 70B | Government | ✓ Zero data leaves network | vLLM on-premise + RAG |
| Sales Email Sequencer | Mistral Large | SaaS | ✓ 2.4× reply rate lift | Personalisation agent + CRM sync |
| Invoice & PO Extraction | GPT-4o Vision | Logistics | ✓ 95% extraction accuracy | Multimodal IDP pipeline |
| AI Tutor Platform | Claude 3.5 Haiku | EdTech | ✓ 3× student engagement | Adaptive RAG + progress tracking |
| Enterprise Search Engine | Cohere Command R+ | Manufacturing | ✓ 60% faster info retrieval | Hybrid semantic + keyword search |
AI Development Process
Our 5-Step Generative AI Development Process
Discovery & ROI Mapping
Two focused workshops. We map your highest-value AI opportunities, prioritize by ROI, and eliminate AI theatre before any development begins.
Architecture & LLM Selection
RAG or fine-tuning? Cloud or on-prem? We make architecture decisions using benchmarks, cost analysis, and performance data before writing code.
Prototype in 2 Weeks
A working demo in your hands within 10 business days. Real data, real prompts, real workflows, and a usable interface.
Production Build, Evaluation & Security
Agile sprints with weekly demos. Full-stack AI development including prompts, retrieval, APIs, frontend, authentication, logging, and rigorous evaluation. We measure accuracy, hallucinations, latency, and safety through automated testing and red-teaming before launch.
Launch & Scale
Deployment, CI/CD, monitoring, cost dashboards, and drift detection. We continue optimizing prompts, upgrading models, and expanding capabilities as your needs grow.
Business Impact
Why 500+ Companies Choose OneClick for Generative AI
There are a hundred firms who will take your generative AI development budget. These are the six reasons our clients never look elsewhere for their second project.
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Full-Stack AI Expertise
We cover the entire stack: models, prompts, retrieval, APIs, UI, infrastructure and monitoring. Not a pure ML shop that outsources the frontend. Not a web agency that adds ChatGPT as an afterthought. One partner, zero gaps.
Speed Without Shortcuts
Prototype in 2 weeks. Production in 6–10 weeks. We move fast because we have solved most hard problems before - not because we skip steps. Every sprint delivers a usable, demo-able feature, not promises on a slide deck.
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Enterprise-Grade Security
Data residency controls, PII redaction, SSO integration, audit logs and model access governance. Our generative AI for enterprise deployments have passed security reviews at Fortune 500 companies across three continents.
Global Delivery, Local Accountability
30+ countries. Offices in India and London. Timezone-overlapping sprint teams. You always have a named delivery manager - no ticket queue, no faceless support portal. One person who knows your project inside out.
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Model-Agnostic Philosophy
We are not in a commercial relationship with any LLM provider. Our OpenAI integration services, Anthropic, Gemini and open-source expertise means your solution is never vendor-locked. We recommend what is right for your use case.
Outcomes, Not Outputs
Every custom generative AI solutions engagement begins with agreed success metrics. Hours saved, cost reduced, conversion improved - we measure what matters and report honestly. If a feature is not moving the needle, we tell you and pivot.
Industries and Use Cases
Every Industry Has a Generative AI Story Waitin
We have delivered generative AI for enterprise in 12 verticals. The problems look different on the surface - but underneath, the architecture of good custom generative AI solutions is remarkably similar.
Healthcare & Life Sciences
Clinical note summarisation, prior auth, drug interaction checks, patient intake chatbots, radiology report drafting.
Legal
Contract review and redlining, precedent research, deposition summarisation, compliance gap analysis.
Banking & Finance
Fraud narrative generation, KYC extraction, earnings call analysis, hyper-personalised financial advice.
E-commerce & Retail
AI product descriptions at scale, conversational shopping, personalised promotions, smart search & discovery.
Manufacturing
Maintenance log intelligence, defect reports, supplier Q&A bots, SOP authoring from sensor data.
Hospitality & Travel
Itinerary generators, AI concierge chatbots, personalised travel email sequences, review response automation.
Logistics & Supply Chain
Exception narrative from tracking data, AI dispatch communications, vendor contract intelligence.
Education & Training
Adaptive curriculum generation, AI tutors per student, automated rubric grading, instant course content.
Marketing & AdTech
10× content at 1/10 the cost. Ad copy generation, A/B testing at scale, SEO content factories, brand voice.
Cybersecurity
Threat narrative from SIEM logs, phishing detection, vulnerability report drafting, security awareness content.
Gaming & Media
Procedural storyline generation, NPC dialogue trees, localisation at scale, player support bots.
Real Estate & PropTech
AI property descriptions, lease abstraction, market report generation, smart lead qualification chatbots.
Unlock the Power of Generative AI for Your Business
Don't let your competitors gain the AI advantage first. Custom Generative AI solutions can automate complex processes, generate valuable insights, personalize customer interactions, and create entirely new business opportunities. Start building your competitive edge today.
TECHNOLOGIES WE WORK WITH
Technical Expertise of OneClick's Gen AI Developers
AI Models
- OpenAI GPT
- Claude
- Gemini
- Llama
- Mistral
- Azure OpenAI
- AWS Bedrock
AI Agent Frameworks
- LangChain
- LangGraph
- CrewAI
- AutoGen
- LlamaIndex
- Haystack
- DSPy
- Semantic Kernel
Agentic AI Concepts
- AI Agents
- Multi-Agent Systems
- Agent Orchestration
- Reasoning Agents
- Autonomous AI Systems
- Human In The Loop
- Agent Memory
- Agent Planning
- Tool Calling
- Workflow Automation
AI Protocols
- Model Context Protocol (MCP)
- Agent-to-Agent (A2A)
- Function Calling
- Structured Outputs
- OpenAPI Tool Calling
- JSON Schema Outputs
RAG & Knowledge Systems
- Retrieval Augmented Generation (RAG)
- Vector Search
- Embeddings
- Semantic Search
- Knowledge Bases
- Document Processing
- Hybrid Search
- Reranking
- Query Expansion
- HyDE
- Knowledge Graph RAG
- Chunking Strategies
- Metadata Filtering
Vector Databases
- Pinecone
- Qdrant
- Weaviate
- pgvector
- ChromaDB
- Milvus
- OpenSearch
- Elasticsearch
Embedding Models
- OpenAI text-embedding-3
- Cohere Embed
- Voyage AI
- BGE
- E5
- Sentence Transformers
Retrieval & Ranking
- Hybrid Search
- BM25
- Cohere Rerank
- Cross Encoders
- Query Expansion
- HyDE
AI Observability
- LangSmith
- Langfuse
- Prompt Evaluation
- Agent Monitoring
- LLM Evaluation
- Arize Phoenix
- RAGAS
- Tracing
- Hallucination Detection
AI Development Tools
- ChatGPT
- Claude
- Gemini
- GitHub Copilot
- Cursor
- Windsurf
- Cline
- Roo Code
AI Deployment & Infrastructure
- Ollama
- vLLM
- Hugging Face
- OpenRouter
- Docker
- Kubernetes
- AWS
- Azure
- Google Cloud
- Serverless AI
- NVIDIA NIM
- TensorRT-LLM
AI Security & Guardrails
- PII Redaction
- Prompt Injection Defense
- Content Moderation
- Guardrails AI
- LLM Security
Cloud & DevOps
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
- CI/CD Pipelines
- Serverless
Compliance & Governance
- GDPR
- CCPA
- HIPAA-aligned
- SOC 2-aligned Architectures
- AI Governance
Our Work
CASE STUDIES
Explore our most notable achievements and successfully developed projects.
GLOWING TESTIMONIALS
Hear What Our Satisfied Customers Have to Say!
We hired OneClick to create and develop a project for us. This project included created an android app and setting up a database and website. They did an excellent job with everything we asked for. We will continue working with them in the future.
Peter S
USAHighly: skilled, motivated, experienced, quick, communicative, responsive, flexible, knowledgeable, smart, structured, professional.
Dirk U
AustriaI am very satisfied by the work done by IT Oneclick. With little time project we established a relationship of trust and with good results. The process established by the team was very good, considering: - Business Analysis - Project management - Development - Guarantee tests - Software Quality.
Marco F
BrazilOTHER DEVELOPERS TO HIRE
Other Developers You May Want to Hire
Explore more technological expertise to hire for your project and enhance your project team.
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FAQs
Frequently Asked Questions About Generative AI Development
Most generative AI app development projects follow a three-phase timeline. A prototype with real data takes 2 weeks. An MVP (single use case, limited users) takes 6–8 weeks. A full production system with monitoring, admin dashboards and multi-use-case support typically lands at 12–16 weeks. Complex custom generative AI solutions involving fine-tuning or on-premise deployment add 4–6 weeks. We give you a fixed-scope quote for each phase so there are no budget surprises.
No - and this is the biggest myth we debunk every week. For 90% of generative AI development use cases, the base LLM already has the intelligence you need. You simply provide your content via RAG - no training required. You need a large proprietary dataset only if you are fine-tuning for a very specialised output format that no public corpus covers. We will tell you honestly in our discovery workshop which category your use case falls into.
We implement several layers of data protection in every generative AI for enterprise engagement: Enterprise API tiers where your data is contractually excluded from model training; PII/PHI detection and redaction layers before any API call; and for clients with strict data residency requirements, open-source LLMs on your own infrastructure. Your security policy drives the architecture, not the other way around.
Our OpenAI integration services connect your application to GPT-4o via API with well-engineered prompts, retrieval layers, streaming, error handling and cost controls - covering 90% of use cases at manageable cost. A custom LLM means we train or fine-tune a model specifically on your domain data. We will tell you clearly which path is right and will not oversell fine-tuning if prompt engineering achieves the same result.
Our four-layer defence:
(1) Grounded generation via RAG - the model answers from retrieved facts, not imagination.
(2) Structured outputs - we constrain the response format to reduce freeform fabrication.
(3) LLM-as-judge evaluation pipelines that score factual accuracy on a test set before every release.
(4) Human review workflows for high-stakes domains. Together these reduce hallucination rates to under 1% in production across our portfolio.
The range is wide - from a $8,000 focused prototype to a $300,000+ enterprise generative AI software development programme. A typical ROI calculation shows 4–10× return within 12 months through labour savings and conversion improvements. We offer fixed-price prototypes so you can validate value before committing to a full build. Contact us for a use-case-specific estimate - we always give honest numbers.
Turn Your Biggest Business Problem Into a Generative AI Development Win
Book a 30-minute discovery call. No sales pitch - just a senior generative AI software development engineer listening to your use case and telling you what is genuinely possible, at what cost and how fast.
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2-week prototype guarantee
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Fixed-price milestones
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NDA on day one
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Senior engineers only
- 13+
Years of Software Experience
- 50+
AI Agents Delivered
- 10+
Agentic AI Developers