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LLMs · Computer Vision · NLP · AI Agents · MLOps · Python · FastAPI

AI Software Development Company

We build production-grade AI software — LLM-powered applications, computer vision systems, NLP pipelines, autonomous AI agents, and intelligent automation tools. Not demo wrappers. Engineered AI that works reliably under real-world conditions, monitored in production, and owned entirely by you.

Your Trusted Partner for AI-Powered Software Development

Tired of sifting through endless data? Struggling to automate complex workflows? We translate the potential of AI into tangible results. Our expert AI software developers leverage cutting-edge tools to build solutions that streamline operations and drive efficiency.

Think of automated quality control systems, powered by computer vision, that detect defects with unprecedented accuracy (similar to recent AI advancements in industrial inspection). Or, intelligent resource allocation systems that optimize workflows based on real-time demand, reducing costs and maximizing productivity.

We don't just talk about machine learning and AI in software engineering; we implement it, delivering robust, scalable applications that solve real-world problems. Let us help you unlock the power of intelligent automation.

AI Software Development Company
AI Application Types

What We Build With AI Software

Every category of AI application — from LLM-powered products to computer vision systems and intelligent automation.

LLM-Powered Applications
Custom applications built on GPT-4, Claude, Gemini, and Llama — RAG knowledge systems, AI copilots, document processing platforms, code generation tools, and content automation products grounded in your business data.
Computer Vision Applications
Image classification, object detection, OCR, visual quality inspection, and video analytics systems — deployed on cloud or edge hardware, integrated with your existing production or workflow systems.
NLP & Text Analytics
Document classification, sentiment analysis, named entity recognition, semantic search, information extraction, and summarisation — turning unstructured text into structured business intelligence at scale.
AI Agent Development
Autonomous multi-step AI agents using LangGraph and AutoGen — capable of reasoning, tool use, web browsing, API orchestration, and completing complex multi-step workflows without constant human oversight.
Predictive & Analytics Platforms
ML-powered applications for demand forecasting, churn prediction, fraud detection, recommendation, and risk scoring — with full data pipelines, model APIs, and analytics dashboards built around your data.
AI Feature Integration
Adding AI capabilities to your existing software — LLM inference APIs, recommendation modules, computer vision endpoints — without rebuilding your current systems. Seamless REST API integration into your existing stack.
Pricing & Timeline

AI Software Development Cost & Timeline

Transparent estimates for common AI software engagements. Every project scoped and priced individually after a discovery call.

Engagement Type What’s Included Timeline Estimated Cost
AI Feature Integration Single AI capability added to existing system 4–8 weeks $15K – $30K
AI-Powered Web App LLM/ML backend + API + frontend + monitoring 10–18 weeks $30K – $80K
AI Mobile App AI backend + iOS + Android + ML model APIs 14–22 weeks $45K – $110K
AI-Native SaaS Product Full product: AI core + UI + billing + MLOps 20–36 weeks $80K – $200K+

* Estimates are indicative. All projects scoped individually after a free discovery call.

How We Build

Our AI Software Development Process

From use case definition to production deployment — with 2-week sprint demos so you see progress throughout, not just at the end.

01
Discovery & AI Architecture
We define the AI use case, select the right AI approach (LLM, ML, computer vision, or hybrid), design the system architecture, and assess your data requirements — in a structured 2-week discovery sprint. Deliverable: architecture proposal with detailed cost and milestone breakdown.
02
Design & Data Preparation
UI/UX design in Figma for user-facing products, data pipeline and preprocessing architecture for AI components, and API contract definition between AI services and the application layer — before any production code is written.
03
AI & Backend Development
AI model integration, prompt engineering, RAG pipelines, or ML model training — built in parallel with the application backend in 2-week sprints. Every sprint delivers a testable increment. Live staging access throughout development.
04
Evaluation & Quality Assurance
AI-specific evaluation (hallucination rate, accuracy, precision/recall) plus standard software QA (load testing, security, accessibility). Minimum quality thresholds defined and met before production. No AI system deploys until it meets agreed performance criteria.
05
Production Deployment
Containerised deployment on AWS or GCP with CI/CD pipelines, auto-scaling, load balancing, and security hardening. AI model serving with latency monitoring and cost tracking. Zero-downtime deployment strategy with rollback capability.
06
Monitoring & Iteration
Application performance monitoring, AI accuracy drift detection, user feedback collection, and cost dashboards. Post-launch support retainers available for ongoing feature development and model improvement based on production data.
What Separates Us

Why AI Software Built by iCoderz Works in the Real World

The engineering disciplines that determine whether an AI product succeeds or embarrasses you in production.

AI software engineering excellence
AI + Software Engineering, Both In-House
Most AI consultancies can build ML models but struggle with production software engineering. Most software agencies can build apps but can’t do real AI. We have both disciplines under one roof — the same team that designs your RAG pipeline also builds your backend API, frontend, CI/CD pipeline, and monitoring infrastructure. No handoff friction, no translation layer.
Evaluation Before Every Launch
We define AI performance thresholds before development begins — hallucination rate, accuracy, latency, cost per inference — and don’t deploy until they’re met. Every AI system is systematically evaluated using Ragas (for LLM), standard ML metrics, or domain-specific benchmarks. No AI software goes to production on hope.
Designed for Cost Control
LLM inference costs can spiral rapidly without deliberate architecture choices. We implement caching, model routing (using cheaper models where quality allows), token budgeting, and batch processing strategies from the start — so your AI application remains economical as usage scales, and you get real-time cost dashboards to track spend per feature.
Security & Privacy Built In
AI applications handle sensitive data — user queries, documents, business logic — that require careful security architecture. We implement input sanitisation, output filtering, PII detection, audit logging, and on-premise deployment options for sensitive workloads. GDPR and HIPAA-compliant pipelines by default where applicable.
Model-Agnostic Architecture
We architect AI software with abstraction layers that allow swapping the underlying LLM or ML model without rebuilding the application. When GPT-5 ships or a cheaper model reaches equivalent quality, you benefit automatically — no expensive re-architecture project to unlock the improvement.
Technology Stack

Our AI Software Technology Stack

Full-stack AI engineering — from LLM APIs and ML models to production deployment and observability.

AI & LLM Stack
GPT-4o · Claude 3.5 · Gemini 1.5 Pro · Llama 3 · LangChain · LlamaIndex · Pinecone · Weaviate
ML & Computer Vision
PyTorch · TensorFlow · scikit-learn · Hugging Face · OpenCV · YOLO v8 · ONNX
Backend & APIs
Python · FastAPI · Node.js · Next.js · GraphQL · REST · WebSockets
Frontend
React.js · Next.js · Vue.js · React Native · Flutter · TypeScript
Infrastructure & MLOps
AWS · GCP · Docker · Kubernetes · MLflow · GitHub Actions · Terraform
Observability
LangSmith · Ragas · Evidently AI · Prometheus · Grafana · Sentry · Datadog
Why iCoderz

Why Product Teams Choose iCoderz for AI Software

14 years of shipping AI and software together, systematic evaluation before every launch, and a track record of AI applications that stay reliable in production long after handover.

01

14 Years, Both Disciplines

We started building computer vision and recommendation systems before LLMs existed. That foundation means we can solve AI problems at the model level (architecture selection, training, evaluation) and the software level (APIs, databases, frontends, DevOps) — not outsource one half to a specialist and hope the integration works.

02

Startups to Enterprise

We build AI MVPs for startups needing to validate a concept in 8 weeks, and enterprise-grade AI platforms for companies with thousands of daily users. The process scales — the same rigour applied to a $25K MVP is applied to a $200K platform, because cutting corners on evaluation and monitoring always costs more later.

03

Transparent & Fixed-Scope Pricing

We scope AI projects with detailed milestone breakdowns and fixed-scope pricing — no surprise overruns from “scope creep” on ambiguous AI requirements. If the discovery sprint reveals the project is larger than expected, we tell you before writing production code, not halfway through development.

04

100% Code & IP Ownership

You own 100% of the source code, model weights, data pipelines, and all project documentation at handover. NDA signed before any project discussion. No proprietary platform dependencies, no licensing fees, no vendor lock-in — full ownership from day one.

FAQ

AI Software Development Questions Answered

Can’t find your answer? Contact us — we reply within 4 business hours.

Custom AI software at iCoderz ranges from $15,000 for a focused AI feature integration to $200,000+ for a full AI-native SaaS product. A standalone LLM-powered web application typically costs $25K–$60K. An AI-powered SaaS product built from the ground up ranges from $60K–$150K. We provide a detailed milestone-based estimate after a free discovery call.

We build LLM-powered applications, computer vision systems, NLP pipelines, recommendation engines, predictive analytics platforms, autonomous AI agents, and intelligent automation tools. If it requires AI to function, we can build it — for both greenfield products and AI augmentation of existing systems.

Yes. AI augmentation of existing software is one of our most common engagements. We integrate AI capabilities — LLM inference APIs, computer vision modules, recommendation engines — into your existing web apps, mobile apps, or enterprise systems via REST APIs without requiring a rebuild.

AI software has probabilistic outputs rather than deterministic ones — it requires different testing methodologies (evaluation frameworks, not just unit tests), different monitoring strategies (accuracy drift, not just uptime), and expertise in LLM APIs, vector databases, ML model training, and MLOps that traditional software engineers don’t typically have.

A focused AI feature or integration takes 4–8 weeks. A full AI-powered web or mobile application takes 12–20 weeks. A complete AI-native product takes 20–36 weeks. We begin with a 2-week discovery sprint and deliver in iterative 2-week sprints with live demos throughout.

Yes. We work with early-stage startups building AI-native products — helping define the architecture, scope the MVP, and build fast. For startups, we recommend starting with a tightly scoped AI MVP to validate the core value proposition. We can deliver an AI-powered MVP in 8–14 weeks.

You own 100% of the source code, model weights, data pipelines, and all project assets at handover. NDA signed before any project discussion. No licensing fees, no platform subscriptions, no vendor lock-in — full ownership from day one.

Start Your AI Project

Build AI Software That Works
In Production, for Real Users

Tell us what you need to build. We’ll scope it, propose the right AI architecture, and give you a transparent estimate within 5 business days.

01

Describe what you want to build → response within 24 hours

02

Discovery call with a senior AI engineer

03

Architecture proposal with milestone-based pricing

Get a Free Consultation

No obligation. NDA available. Free architecture review.

Get in Touch!