From healthcare diagnosis to financial fraud detection, AI transforms specific industries with measurable results. IRPR ships AI solutions in 8-12 weeks, starting at $80K.
IRPR builds custom AI applications that transform how industries operate. We integrate large language models (LLMs), computer vision, and predictive analytics into your existing workflows using frameworks like TensorFlow, PyTorch, and LangChain.
A typical AI project ships in 12-14 weeks and costs $80K-$250K, depending on data complexity and integration depth. Every build includes compliance alignment (HIPAA, SOC 2, PCI-DSS) and full code ownership for you.
Founders hire us to launch AI-powered SaaS MVPs. Enterprise teams bring us in for internal tools that reduce manual work by 60%. Healthcare CTOs need diagnostic models with 99.5% accuracy. Manufacturing directors ask for predictive maintenance that prevents downtime.
A conversational agent trained on your knowledge base. Uses GPT-4 with Retrieval-Augmented Generation (RAG) for accurate, context-aware answers. Integrates with Zendesk or Intercom.
Detects defects in manufacturing lines with 99.2% accuracy. Trained on PyTorch, deployed on edge devices like NVIDIA Jetson, integrating with factory PLCs.
Forecasts sales, churn, or inventory needs using real-time data. Built with Streamlit or Power BI, powered by Scikit-learn models, pulling from Snowflake or BigQuery.
Automates extraction of fields from invoices, contracts, or medical records. Uses spaCy and Tesseract OCR, verifies against your ERP or EHR system.
Suggests products or content based on user behavior. Collaborative filtering with TensorFlow, A/B tested via Optimizely, and embedded in Shopify or custom storefronts.
Flags suspicious transactions in milliseconds. Real-time inference with XGBoost, integrated with Stripe or Adyen, compliant with PCI-DSS level 1.
Monitors support tickets, reviews, or social media. NLP classification with BERT, dashboards in Grafana, alerts to Slack or PagerDuty.
Enhances on-site search with semantic understanding. Elasticsearch with dense vector embeddings (BERT), ranking improvements, deployed on AWS OpenSearch.
Companies that deploy AI see measurable gains in efficiency, revenue, and customer satisfaction.
A McKinsey survey found AI adoption has more than doubled since 2017, reaching 72% of organizations in 2024. Industries like healthcare and finance lead adoption, with manufacturing and retail close behind.
IRPR has shipped 200+ AI products across 50+ countries, helping clients reduce manual tasks by up to 70% and increase revenue by 30% on average. These projects go live in 8-12 weeks with fixed pricing.
Off-the-shelf AI tools can't handle compliance, unique data formats, or specialized workflows.
Industries like healthcare need HIPAA-compliant models that understand ICD-10 codes. Finance requires explainable AI under ECOA regulations. Generic chatbots can't read MRI scans or detect money laundering patterns.
IRPR builds purpose-built AI that fits your exact industry. We start with a 2-week Roadmap phase to map your data, compliance needs, and integration points. Then we ship a production-ready system in 10-14 weeks with full documentation and ongoing support.
From requirement gathering to deployed model, our process is transparent and measurable.
Most AI projects stall because of unclear scoping or endless experimentation. We eliminate that risk with a fixed-scope engagement that delivers a working system, not a proof of concept. Every project includes a 2-week Roadmap phase that costs $15K-$25K, producing a guaranteed build price.
After roadmap approval, our team of senior engineers starts building. You get weekly demos, access to the staging environment, and a final deployment to your cloud account within 10-12 additional weeks. We handle DevOps, monitoring, and training for your team.
You own 100% of the output, from source code to model weights.
Unlike agencies that lock you into proprietary platforms, IRPR delivers everything into your repository. You get a production-ready system that your team can extend, maintain, and audit independently.
A HIPAA-compliant computer vision model that flags potential tumors in MRI scans with 97% sensitivity. Built with PyTorch, deployed on AWS SageMaker, integrated with the hospital's PACS system. Reduced review time by 40%.
Real-time transaction scoring using XGBoost and feature engineering, ingesting 10K events/sec. False positive rate dropped from 3% to 0.5%, saving $2M/year in manual reviews. Integrates with Stripe API.
Collaborative filtering and BERT-based semantic similarity on 5M products. A/B test showed 22% lift in average order value. Built with TensorFlow, served via FastAPI, deployed on GCP.
Time-series models forecasting equipment failure 48 hours in advance, using sensor data from PLCs. Reduced unplanned downtime by 65%. Stack: Python, MLflow, edge inference on NVIDIA Jetson.
Automated valuation model combining MLS data, tax records, and satellite imagery. Accuracy within 3% of appraised value. Built with PyTorch and geospatial libraries, integrated into the broker's CRM. Reduced listing-to-close time by 15 days.
Time-series forecasting with Prophet and LSTM, ingesting point-of-sale data from 2,000 stores. Improved stock-out reduction by 35%. Stack: Python, BigQuery, Looker dashboard.
We charge a flat fee for the Roadmap phase ($15K-$25K), delivering a detailed spec and guaranteed build price. No hourly billing, no scope creep costs. 98% of our projects finish within that budget.
Every team member has 8+ years of experience and a track record on shipped products. You work directly with the people writing the code - no account managers or middlemen.
From HIPAA BAAs to PCI-DSS Level 1, we design audit-ready systems. Our AI models generate explainability reports, and infrastructure meets SOC 2 standards from day one.
You get every line of source code, trained model weights, and DevOps scripts. No vendor lock-in, no licensing fees. Deploy on your own cloud or on-prem.
Our MVP-focused approach skips months of discovery theater. The Roadmap phase locks scope, then a dedicated squad builds and ships a production-grade product in 8-12 weeks.
We have built AI for startups, hospitals, banks, and factories in North America, Europe, Asia, and the Middle East. Average client rating: 4.8/5 on Clutch.
Every engagement runs through the same four-stage pipeline. Predictable by design.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.