AI Development Services

Ship Scalable AI Solutions Faster with Agile Development

Custom AI, Machine Learning, and Generative AI systems designed for real-world ROI.

Stop treating AI like a science experiment. We combine Agile sprints with production-first MLOps to deliver custom AI agents, computer vision, and NLP applications in weeks—not months.

0/5

Clutch Rating

Based on client reviews

0-Week

Data Sprints

Validate feasibility fast

0 Weeks

MVP Timeline

Launch faster with Agile

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ISO Certified

Data security & compliance

Why Top CTOs Choose Agile Developers for AI

Escape the research loop. We ship production-grade AI with disciplined Agile sprints, secure MLOps, and measurable ROI.

2-Week Data Sprints

Validate data quality, feasibility, and KPIs before you commit to a full build so stakeholders see traction fast.

Production-Minded Discovery

Production-First Architecture

Scalable APIs, CI/CD, and observability baked in from day one so your AI services move from lab to live with confidence.

MLOps-Ready Delivery

IP & Data Sovereignty

You own the code, model weights, and data pipelines. Zero vendor lock-in with compliance-first security.

Enterprise-Grade Security

Comprehensive AI & Machine Learning Services

Capture long-tail opportunities with targeted AI solutions across Generative AI, Vision, NLP, and Predictive Analytics.

Generative AI & LLM Integration

Deploy Retrieval-Augmented Generation, fine-tune models like LLaMA 3 or GPT-4, and launch AI agents that handle complex workflows.

RAG
LLM Fine-tuning
AI Agents
LangChain

Computer Vision & Visual Intelligence

Automate inspections, biometrics, and imaging analysis with OpenCV, YOLO, and advanced detection models.

Quality Control
Biometrics
Medical Imaging
YOLO/Object Detection

Natural Language Processing (NLP)

Turn unstructured text into insight with sentiment analysis, intelligent document processing, and multilingual chatbots.

Sentiment Analysis
IDP
Multilingual Chatbots
Text Analytics

Predictive Analytics & Forecasting

Use historical data to reduce churn, forecast demand, and assess risk with production-ready predictive models.

Churn Prediction
Demand Forecasting
Risk Assessment
Recommendation Engines

AI Agents vs. Traditional Software

Understand how adaptive, learning systems outperform static rule-based apps for modern automation.

Aspect

Agile Developers AI Solutions

Traditional Software

Logic

Agile Developers AI Solutions

Advantage

Adaptive & learning

Traditional Software

Static, rule-based (If/Then)

Data Handling

Agile Developers AI Solutions

Advantage

Unstructured (images, text, audio)

Traditional Software

Structured data only

Scalability

Agile Developers AI Solutions

Advantage

Exponential efficiency as data grows

Traditional Software

Linear growth

Maintenance

Agile Developers AI Solutions

Advantage

Self-improving loops with monitoring

Traditional Software

Manual updates required

From Concept to Code: Our Agile AI Workflow

Reduce delivery risk with a staged, transparent process from data audit to production monitoring.

1

Discovery & Data Audit (Week 1)

Assess data quality, security, and KPI success metrics to confirm feasibility before full build.

KPI & Data Readiness
2

Proof of Concept (Weeks 2-4)

Rapid prototyping of a baseline model to validate technical approach and success thresholds.

Feasibility Proven Fast
3

Model Training & Tuning

Iterative improvement through hyperparameter tuning, validation sets, and bias checks.

Iterative Optimization
4

Production Deployment

Dockerized services, CI/CD pipelines, and cloud infrastructure on AWS or Azure for scalable releases.

MLOps & Observability
5

Monitoring & Retraining

Continuous evaluation to prevent model drift with automated retraining and performance alerts.

Self-Improving Loops

Pricing & Timelines

Choose an engagement model aligned to your roadmap—from quick validation to enterprise-wide AI platforms.

Typical Project Ranges

Data Audit & Roadmap

1 week

Assess data readiness, security, and KPI targets

Proof of Concept

4-6 weeks

Baseline model to prove feasibility and ROI

Production MVP

3 months

Deployable AI service with CI/CD and monitoring

Enterprise AI Program

6-12+ months

Full-stack AI platform with governance and support

Factors Affecting Cost

Data Complexity & Volume

Labeled datasets, multimodal inputs, and governance requirements

Model Sophistication

Fine-tuning, RAG orchestration, and agent capabilities

System Integration

API wrappers for ERP/CRM and legacy systems

Regulatory Compliance

Security controls for finance, healthcare, and other regulated industries

Note

Contact us to scope your AI initiative and receive a roadmap with budget, timelines, and risk mitigation steps.

Frequently Asked Questions about AI Development

Straight answers to the most common questions buyers ask about AI delivery.

Built on Best-in-Class AI Infrastructure

Modern frameworks, vector databases, and MLOps tooling that satisfy enterprise standards.

Frameworks

PyTorch
TensorFlow
Keras
Scikit-learn
Fast.ai

Generative AI

OpenAI API
LangChain
LLaMAIndex
Hugging Face
Anthropic

Vector Databases

Pinecone
Weaviate
Milvus
Crucial for RAG

MLOps & Infrastructure

MLflow
Kubeflow
AWS SageMaker
Docker
Kubernetes

Additional Technologies

OpenCV
YOLOv8
Detectron2
FastAPI
Flask
Streamlit
DVC
Weights & Biases
Apache Spark
PostgreSQL
MongoDB
Redis

Ready to Automate Your Business?

Validate your AI idea, map the roadmap, and launch a production-ready MVP with Agile developers.

4.9/5 on Clutch
ISO 27001 Certified
Global Delivery
Engineers Talking to Engineers