Codazz delivers AI ML development services end to end — LLM integration, computer vision, predictive analytics, chatbots and intelligent automation. Production-grade models built on your data, with monitoring, bias testing and explainability shipped as standard, not as an afterthought.
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Independently audited, certified and built to standards you can check
AI ML development services cover designing, training and deploying machine learning inside a production product — data preparation, model selection, evaluation, inference infrastructure and ongoing monitoring. Codazz builds LLM integration, computer vision, predictive models, chatbots and workflow automation, with MLOps, drift detection and governance shipped from sprint one.
AI automation eliminates repetitive manual tasks across document processing, customer support, data entry and quality inspection. Our clients see an average 52% reduction in operational costs within the first year of AI deployment.
Replace days of manual analysis with real-time AI predictions. Loan approvals in seconds instead of days. Fraud detection in milliseconds instead of hours. Quality inspection at production line speed instead of batch sampling.
AI-powered personalization, pricing optimization and demand forecasting reveal revenue opportunities invisible to traditional analytics. Our e-commerce clients see 18-35% incremental revenue from AI recommendations alone.
AI handles the volume. Your team handles the judgment. Process 10x more documents, support tickets and transactions without hiring proportionally. AI amplifies your team instead of replacing it.
Fraud detection, credit scoring, robo-advisors and AML compliance — automate risk decisions with 99%+ accuracy.
Diagnostic AI, patient risk prediction, clinical NLP and drug discovery acceleration using deep learning and medical imaging.
Personalization engines, demand forecasting, visual search and dynamic pricing that increase average order value by 35%.
Route optimization, warehouse automation, demand prediction and predictive maintenance to cut costs by 23%.
Quality inspection, predictive maintenance, process optimization and computer vision on the production line.
Embed AI features into your SaaS product — intelligent search, auto-categorization, anomaly detection and user behavior prediction.
Claims processing automation, risk assessment, fraud detection and underwriting acceleration with AI-powered document analysis.
Adaptive learning, automated grading, content recommendation and student performance prediction powered by ML models.
Loan processing from 5 days to < 4 hours
Recommendation engine optimization
Manual processing automation
Diagnostic miss rate improvement
Up from 67% with traditional methods
Operational costs in Year 1
Companies that deploy AI today are building compounding advantages their competitors cannot replicate. Whether you are a startup exploring your first AI feature or an enterprise scaling across multiple use cases, we deliver production-grade AI systems — from LLM integration and computer vision to predictive analytics and intelligent automation. Every solution ships with monitoring, bias testing, explainability and ongoing optimization built in. ISO 42001 certified. SOC 2 Type II compliant. 150+ AI systems in production and counting.
Six specialized AI practices, each with dedicated teams, proven frameworks and production-tested methodologies.
Integrate GPT-4, Claude, LLaMA and open-source LLMs into your products. We build RAG pipelines, fine-tune models on your proprietary data, engineer production-grade prompts and deploy at scale with guardrails.
Intelligent chatbots that understand context, handle multi-turn conversations and integrate with your CRM, helpdesk and knowledge bases. Powered by LLMs with retrieval-augmented generation for accurate responses.
Object detection, image classification, OCR, facial recognition and real-time video analytics. From quality inspection on manufacturing lines to medical image analysis and autonomous systems.
End-to-end ML pipelines from data preparation and feature engineering to model training, evaluation and serving. Demand forecasting, churn prediction, risk scoring and recommendation engines at production scale.
Eliminate manual processes with intelligent workflow automation. Document processing, email triage, data extraction, approval routing and decision automation that scales with your operations.
Custom generative AI applications for content creation, code generation, image synthesis and data augmentation. We build safe, aligned GenAI products with content filtering, brand voice training and human-in-the-loop workflows.
Every ai & machine learning engagement is scoped, priced and staffed the same way — so these hold on every project, not just the showcase ones.
We do not build demos. Every AI system we deliver is built for production — with monitoring, scaling, fallback strategies and operational runbooks from day one. 150+ AI systems in production.
ML engineers, data scientists, MLOps specialists and domain experts under one roof. You get an integrated team, not fragmented consultants handing off between silos. 40+ AI specialists.
Deep expertise in FinTech, healthcare, e-commerce and logistics — the industries where AI creates the highest ROI. We speak your language, not just ML jargon. 12+ industries served.
ISO 42001 certified. Every model ships with bias testing, explainability reports, safety guardrails and ongoing monitoring. Compliance is built in, not bolted on.
Our AI Rapid Launch programme delivers a working AI proof-of-concept in 4 weeks. Validate the business case before committing to a full build. No 6-month discovery phases.
Version-controlled model registry, automated performance monitoring, drift detection and rollback capabilities. Full lineage tracking from data to prediction, with SLA-backed support.
One process, five stages, fixed milestones. You always know what is happening and what it costs.
We map the business problem, the users and the constraints, then agree what success looks like in numbers.
Flows, interface design and a clickable prototype, so the hard decisions are settled before engineering starts.
Two-week sprints against a fixed scope. You see working software every fortnight, not a status report.
Load testing, security review, migration and a rollout plan — with someone from the build team on call.
Monitoring, iteration and a support SLA. Most clients keep building with us long after go-live.
We do not just build products — we engineer intelligent, connected, future-proof digital experiences.
GPT-4, Claude, LLaMA, Mistral and Gemini integration with fine-tuning
Retrieval-augmented generation grounded in your proprietary knowledge base
Object detection, image classification, OCR and real-time video analytics
Demand forecasting, churn prediction and risk scoring at production scale
CNNs, transformers, attention mechanisms and neural architecture search
Collaborative filtering, content-based and hybrid personalization systems
Entity extraction, summarization, translation and semantic search
Real-time transcription, voice cloning, speaker diarization and accent adaptation
Fraud prevention, network security and equipment failure prediction
OCR + NLP automated extraction from invoices, contracts and medical records
Drift detection, automated retraining, A/B testing and model governance
Bias testing, SHAP explainability, safety guardrails and ISO 42001 compliance
Best-in-class tools chosen for performance, reliability, and long-term maintainability.
Choosing the right AI partner is critical — a bad choice means months wasted on models that never reach production. Here is what to evaluate.
Look for 100+ AI systems in production with measurable ROI in your industry vertical.
8+ years avg experience. Deep expertise in PyTorch, TensorFlow, LangChain, and cloud ML platforms.
No hourly surprises. Clear scope, milestones, and deliverables defined before development begins.
Model monitoring, drift detection, automated retraining, and SLA-backed production support.
SOC 2 Type II, ISO 42001, HIPAA, and PCI-DSS certifications for regulated industries.
Dedicated PM, daily standups, sprint demos, and async comms aligned to your working hours.
“They transformed our legacy system into a high-performance cloud platform. Technical depth is unparalleled — shipped in 10 weeks, zero bugs in production.”
Everything you need to know about working with an AI development company.
Ask our teamCost depends on scope: data readiness and how much preparation is required, the model architecture and whether training or fine-tuning is needed, how many systems the model has to integrate with, real-time inference and MLOps needs, and compliance requirements such as HIPAA or SOC 2. We provide fixed-price proposals after a free scoping session — no hourly billing or scope creep surprises.
A focused AI proof-of-concept takes 4-6 weeks. Production-grade AI systems typically take 12-20 weeks depending on data preparation needs, model complexity and integration scope. Our AI Rapid Launch programme delivers a working PoC in 4 weeks so you can validate the business case before committing to a full build.
We work with all major AI platforms and models: OpenAI GPT-4/GPT-4o, Anthropic Claude 3.5, Meta LLaMA 3, Mistral, Google Gemini, TensorFlow, PyTorch, JAX, LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, ChromaDB) and cloud AI platforms (AWS SageMaker, Azure AI Studio, Google Vertex AI).
Yes. We offer full LLM fine-tuning services including LoRA/QLoRA parameter-efficient fine-tuning, RLHF (reinforcement learning from human feedback), and custom training data preparation. We also build RAG (retrieval-augmented generation) systems that keep your LLM grounded in your proprietary knowledge base without expensive full fine-tuning.
Absolutely. Most of our AI projects involve integration with existing tech stacks — ERPs, CRMs, data warehouses, mobile apps and web platforms. We build production-grade APIs, SDKs and webhooks that plug seamlessly into your infrastructure with proper error handling, caching and fallback strategies.
Yes. We offer tiered SLAs for ongoing AI operations: model performance monitoring, data drift detection, automated retraining pipelines, A/B testing and continuous improvement. Most AI models degrade over time — our MLOps infrastructure ensures your models stay accurate and reliable.
All AI projects run on SOC 2 Type II compliant infrastructure. We implement data encryption at rest and in transit, PII anonymization, role-based access controls and complete audit trails. For healthcare, we are HIPAA-compliant. For finance, we meet PCI-DSS requirements. Your data never leaves your approved cloud environment.
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