What is the future of AI in business?AI
It's custom AI tools that automate decisions and uncover new revenue. IRPR builds AI-powered MVPs in 8-12 weeks, fixed price, no hourly billing.
The future of AI in business is not about chatbots alone. It’s about integrating large language models like GPT-4, computer vision, and predictive analytics into core operations. IRPR builds these custom AI systems for mid-market and enterprise companies.
We ship AI MVPs in 8-12 weeks, with fixed pricing from $80K to $250K. Every project includes model training, API endpoints, and compliance with SOC 2, HIPAA, or PCI-DSS as needed.
CTOs at SaaS companies hire us to build AI features that reduce churn. Healthcare administrators need HIPAA-compliant diagnostic AI. Fintech founders want fraud detection models. Ecommerce directors ask for recommendation engines that lift AOV.
Types of software we ship.
AI Chatbot for Customer Support
Uses NLP to understand tickets and integrate with Zendesk. Reduces response time by 60%.
Predictive Maintenance System
Analyzes IoT sensor data with ML to forecast equipment failure. Integrates with Siemens MindSphere.
Fraud Detection AI
Real-time anomaly detection using TensorFlow and Kafka. Flags suspicious transactions in under 50ms.
Personalized Recommendation Engine
Collaborative filtering with Redis caching. Boosts AOV by 22% on average for ecommerce stores.
AI-Powered Medical Imaging Analysis
PyTorch models trained on DICOM images. Detects anomalies with 94% accuracy, HIPAA compliant.
Intelligent Document Processing
OCR plus NLP extracts data from PDFs and scans. Cuts manual entry by 8 hours per week.
AI Recruitment Screening Tool
Resume parsing and ranking with bias mitigation. Integrates with Greenhouse and Lever.
Sentiment Analysis Dashboard
Hugging Face transformers process 10M social posts daily. Alerts on brand crises in real time.
We build for every business type.
Healthcare
Fintech
Ecommerce
Manufacturing
SaaS
AI development by the numbers
IRPR delivers AI projects with speed and precision.
Our engineers have shipped 200+ products across 50 countries. We combine deep learning expertise with practical delivery timelines.
No research projects, only production-ready AI. Every model is trained on your data and deployed to your infrastructure.
Build vs. buy: custom AI done right
Generic AI platforms can't solve your unique data problems.
Off-the-shelf AI tools force you to fit your business to their constraints. IRPR builds models trained on your data, integrated with your systems.
You get full transparency into model architecture and complete ownership of the code. No black boxes, no vendor lock-in.
- Black-box algorithms
- No custom training data
- Limited integration options
- Vendor lock-in
- Per-seat pricing at scale
- No compliance guarantees
- Transparent model architecture
- Trained on your proprietary data
- API-first, connects to any stack
- You own the code and model
- Fixed price, no scaling penalties
- HIPAA, SOC 2, PCI-DSS compliant
Our AI development process
From idea to production in four phases.
We compress custom AI development into a 12-week timeline without cutting corners.
Each phase includes clear deliverables and fixed milestones. You review progress weekly.
What ships with your AI project
Every IRPR AI engagement includes these deliverables as standard.
We don't just hand over code. You get a complete AI system ready for scale, with documentation and monitoring.
- Trained ML model with documented architecture
- REST API endpoints for inference
- Data preprocessing pipeline
- Model performance dashboard
- Integration code for your existing stack (e.g., Salesforce, Stripe)
- CI/CD pipeline for model updates
- Security audit report (SOC 2, HIPAA, or PCI)
- Developer documentation and runbooks
- 30-day post-launch monitoring
- Source code and model weights in your repo
What we ship in this practice.
AI-powered claims processing for a health insurer
Reduced claim review time from 14 days to 4 hours using NLP and computer vision. Tech stack: Python, PyTorch, AWS SageMaker.
Fraud detection system for a fintech app
Caught 99.7% of fraudulent transactions in real time, saving $2.3M annually. Tech stack: TensorFlow, Kafka, PostgreSQL.
Personalized product recommendations for an ecommerce brand
Increased average order value by 22% with a collaborative filtering engine. Tech stack: Python, Redis, Next.js.
Predictive maintenance for a manufacturing plant
Reduced unplanned downtime by 35% using IoT sensor data and time-series forecasting. Tech stack: InfluxDB, scikit-learn, Grafana.
AI recruitment screener for a staffing agency
Cut resume screening time by 90% with NLP-based ranking and bias mitigation. Tech stack: Hugging Face, FastAPI, MongoDB.
Real-time sentiment analysis for a media monitoring platform
Processed 10M social posts daily to detect brand crises within 2 minutes. Tech stack: Apache Spark, BERT, Elasticsearch.
Why teams hire us.
Fixed price, not hourly
Every AI project gets a fixed quote after the Roadmap phase. No surprise bills, no scope creep charges.
Senior engineers only
Your project is built by engineers with 10+ years of ML experience. No junior devs learning on your dime.
Compliance by default
We embed HIPAA, SOC 2, and PCI-DSS requirements from day one. No retrofit audits.
8-12 week MVPs
We ship a production-ready AI MVP in 8-12 weeks. Not a prototype, not a proof of concept.
Full code ownership
You get all source code, model weights, and documentation. No vendor lock-in, no licensing fees.
Async-first, global team
We work across time zones to give you 16-hour daily overlap. Ship faster without burning out your team.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Questions clients ask first.
Related services and industries.
Ready to build? Let's talk.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.