Content at Scale
Generate marketing copy, product descriptions and documentation at speed — with consistent quality and your brand voice enforced by guardrails.
Generative AI Consulting
Generative AI Development Company
Codazz is a generative AI development company building production GenAI — text, image, code and voice systems on GPT-4o, Claude and fine-tuned open-source models, with RAG, safety guardrails and cost-optimized routing.
- 100+
- GenAI Projects
- 12M+
- AI Assets/Month
- 99.5%
- Content Safety
- 50%
- Time-to-Market Cut
- NDA signed on day one
- Fixed-price quote within 48 hours
- Senior engineers only, in your timezone
- You own the code and IP
Get your custom project plan
Share your project details — a senior engineer responds within 4 hours.
NDA protected 24hr response Free consultation
Independently audited, certified and built to standards you can check
A generative AI development company builds production systems around foundation models — RAG pipelines, fine-tuned models, safety guardrails and cost controls. Codazz provides generative AI consulting and development across GPT-4o, Claude, Llama 3, DALL-E and Stable Diffusion, selecting the model per task before a line of code is written.
Clutch Top Generative AI 2026OpenAI Integration PartnerAWS ML CompetencySOC 2 Type II CertifiedISO 27001 CertifiedGoogle Cloud AI PartnerTop AI Company - GoodFirmsAnthropic Partner Program
Why Generative AI Belongs in Production
Visual Content
Product images, marketing visuals and design variations via DALL-E and Stable Diffusion — without expensive photoshoot cycles.
Engineering Velocity
Code generation, automated testing and documentation assistants that accelerate development without sacrificing review gates.
Who Needs Generative AI Solutions?
Enterprise & SaaS
Embed AI-powered features into your product — content generation, smart search, personalization, and automated customer support.
E-Commerce & Retail
Automated product descriptions, personalized recommendations, visual search, and AI-generated marketing content.
Healthcare & Life Sciences
Medical report generation, clinical note summarization, drug discovery assistance, and patient communication automation.
Media & Publishing
Automated article generation, content repurposing, translation, and personalized content delivery at scale.
Financial Services
Report generation, compliance documentation, risk analysis summaries, and customer communication automation.
Education & Training
Course content generation, personalized learning paths, automated assessment creation, and intelligent tutoring systems.
Generative AI Impact
100+
GenAI Projects
Delivered to production
12M+
AI Assets/Month
Generated for clients
50%
Time-to-Market
Reduction average
99.5%
Content Safety
Guardrails & filters
40-60%
Productivity Gain
Engineering velocity
10x
Content Output
vs manual creation
Generative AI is not a feature — it is a paradigm shift. At Codazz, we help organizations move beyond experimentation to production-grade AI systems. We combine deep expertise in LLMs, multimodal models, and retrieval-augmented generation with enterprise-grade safety guardrails, cost optimization, and scalable architecture. Whether you need a custom chatbot, content automation pipeline, or AI-powered product feature, we build it to work reliably at scale.
What We Build
Generative AI Services From prototype to production.
Custom generative AI solutions spanning text, image, video, code, and multimodal generation — with enterprise-grade safety, cost optimization, and scalable architecture.
Text Generation
Intelligent text generation systems for content creation, summarization, translation, chatbots, and personalized messaging powered by GPT-4o, Claude, and fine-tuned models.
Content AutomationSummarizationTranslationChatbots
Image & Video Generation
AI-powered visual content creation using DALL-E, Stable Diffusion, Midjourney API, and custom fine-tuned models for product images, marketing visuals, and video.
DALL-EStable DiffusionMidjourneyVideo Gen
AI Chatbots & Assistants
Custom AI chatbots and virtual assistants trained on your domain data. Multi-turn conversations, tool calling, knowledge base integration, and human-in-the-loop escalation.
GPT-4oClaudeRAGTool CallingHITL
Code Generation & Copilots
Build custom code generation tools, development copilots, and automated testing assistants that accelerate your engineering team's velocity.
Code GenAuto TestingDocumentationCode Review
Content Automation Pipelines
End-to-end content generation pipelines that produce, review, approve, and publish content at scale with human oversight and quality controls.
Pipeline OrchestrationQuality ControlBrand VoiceMulti-Channel
Fine-Tuning & Custom Models
Fine-tune open-source and commercial LLMs on your domain data for superior performance, lower costs, and complete data privacy.
LoRAQLoRARLHFDomain TuningEvaluation
Why Codazz GenAI
AI That Works In Production.
Every generative ai engagement is scoped, priced and staffed the same way — so these hold on every project, not just the showcase ones.
Safety & Guardrails
Content filtering, toxicity detection, PII redaction, and hallucination mitigation built into every system. 99.5% content safety rate.
Cost Optimized
Intelligent model routing, caching, batching, and model selection that reduces LLM API costs by 40-70% without sacrificing quality.
Data Privacy First
On-premise deployment options, private model hosting, and enterprise data handling that keeps your proprietary data secure.
Measurable ROI
Every project includes success metrics, A/B testing frameworks, and performance dashboards to demonstrate clear business value.
Trusted by teams building with
OpenAIAnthropicGoogle AIAWSAzureHugging FaceLangChainPineconeWeaviateStripeSalesforceNotionFigmaVercelMongoDBRedis
By the numbers
Generative AI Results That Speak for Themselves.
100+GenAI ProjectsIn production
12M+AI Assets/MonthGenerated for clients
50%Time SavingsAverage reduction
99.5%Content SafetyGuardrails & filters
4.9★Client RatingAcross 80+ reviews
How we deliver generative ai projects
One process, five stages, fixed milestones. You always know what is happening and what it costs.
- 01
Discovery
1–2 weeksWe map the business problem, the users and the constraints, then agree what success looks like in numbers.
Scope documentFixed-price quote - 02
Design & architecture
2–4 weeksFlows, interface design and a clickable prototype, so the hard decisions are settled before engineering starts.
Clickable prototypeTechnical architecture - 03
Build
8–16 weeksTwo-week sprints against a fixed scope. You see working software every fortnight, not a status report.
Sprint demosAutomated tests - 04
Launch
1–2 weeksLoad testing, security review, migration and a rollout plan — with someone from the build team on call.
Security reviewRollout plan - 05
Support & scale
OngoingMonitoring, iteration and a support SLA. Most clients keep building with us long after go-live.
MonitoringSupport SLA
Advanced technologies
Generative AI Technologies Built Into Every Solution.
We do not just build products — we engineer intelligent, connected, future-proof digital experiences.
GPT-4o & Claude
Latest foundation models for reasoning and generation
DALL-E & Stable Diffusion
State-of-the-art image generation models
RAG Architecture
Retrieval-augmented generation for accurate responses
LangChain & LlamaIndex
Orchestration frameworks for LLM applications
Vector Databases
Pinecone, Weaviate, and Qdrant for semantic search
AI Safety
Content filtering, guardrails, and PII redaction
Fine-Tuning
LoRA and QLoRA for domain-specific model adaptation
Function Calling
Tool-augmented AI for real-world task execution
Streaming
Real-time token streaming for responsive UX
Cost Routing
Intelligent model selection based on task complexity
Evaluation
Automated quality assessment and regression testing
Multimodal
Vision, audio, and text processing in unified systems
Technology stack
Generative AI Stack. 40+ Models & Tools.
Best-in-class tools chosen for performance, reliability, and long-term maintainability.
Foundation Models
GPT-4oClaude 4Gemini ProLlama 3MistralCohereImage & Video
DALL-E 3Stable Diffusion XLMidjourney APIRunwaySoraOrchestration
LangChainLlamaIndexSemantic KernelAutoGenCrewAIVector Storage
PineconeWeaviateQdrantChromapgvectorInfrastructure
AWS BedrockAzure OpenAIGoogle Vertex AIModalTogether AIEvaluation & Safety
RagasDeepEvalGuardrails AINeMo GuardrailsLangSmith
Selection guide
How to Choose a Generative AI Development Company
Choosing the right generative AI partner is critical — poor implementation means hallucinations, safety risks, and runaway API costs. Here is what to evaluate.
Proven Portfolio
Look for 100+ GenAI projects in production with documented safety rates and measurable business outcomes.
Senior AI Engineers
8+ years avg experience. Deep expertise in GPT-4o, Claude, LangChain, fine-tuning, and RAG architectures.
Fixed-Price Quotes
No hourly surprises. Clear scope covering model selection, development, safety guardrails, and deployment.
Post-Launch SLAs
Model monitoring, cost optimization, content safety reviews, and performance tuning with defined SLAs.
Security & Safety
SOC 2, ISO 27001, content filtering, PII redaction, and hallucination mitigation as standard practice.
Your Timezone
Dedicated PM, daily standups, sprint demos, and responsive async communication.
“Scaling to 500K concurrent users was a non-event with their architecture. Black Friday, not a single crash. I’m never going anywhere else.”
Alex R.Founder, E-Commerce Platform, New York
500Kconcurrent users
Frequently asked questions
Get answers to common questions about our generative AI services, model selection, safety guardrails, and enterprise AI implementation.
Ask our teamA generative AI development company builds production systems around foundation models — RAG pipelines, fine-tuned models, safety guardrails and cost controls. Codazz also provides generative AI consulting for architecture, evaluation and build-vs-buy decisions before development starts.
GPT-4o, Claude, Gemini, Llama 3 and Mistral for text and code. DALL-E 3 and Stable Diffusion for image generation. We are model-agnostic and select based on quality, cost, latency and data privacy requirements.
Yes. We fine-tune commercial and open-source models using LoRA and QLoRA on your domain data. For privacy, we can deploy fine-tuned open-source models entirely on your infrastructure.
Content filtering, PII redaction, hallucination detection, human-in-the-loop review for sensitive outputs, usage monitoring and audit trails. Every GenAI system includes a responsible AI framework.
Proof-of-concept takes 2–4 weeks. Production solutions with RAG and fine-tuning take 8–16 weeks. Enterprise deployments with guardrails and multi-model orchestration take 16–30 weeks.
Cost depends on models and modalities, fine-tuning depth, safety guardrail work and product integration scope. Ongoing inference cost scales with usage — we optimize with caching and intelligent routing. We quote fixed-price after discovery.
Consulting covers use-case assessment, architecture design, model selection, cost modeling and a sequenced roadmap. Development is the build — RAG pipelines, fine-tuning, integrations and production deployment. Many clients start with consulting, then move to build.
From our blog
View all articlesGenerative AI Insights & Guides.
Blog
AI Chatbot Development Cost: What You Actually Pay For
Rule-based vs LLM chatbots, retrieval grounding, guardrails, and token running costs with honest numbers.
Read article BlogGPT-4o vs Claude 4 vs Gemini: Which LLM to Choose
Comprehensive comparison of leading foundation models for enterprise use cases.
Read article BlogRAG Architecture: The Complete Guide
How to build retrieval-augmented generation systems that deliver accurate, grounded responses.
Read articleExplore
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Industries we serve
Let’s build something worth keeping.
Tell us what you are trying to build. A senior engineer will come back within one working day with a scope, a timeline and a fixed price.