IRPR builds custom AI solutions that automate workflows, slash costs, and deliver real-time insights. Ship a production-ready AI tool in 8-12 weeks with fixed pricing.
IRPR builds custom AI systems that automate repetitive tasks, predict demand, and surface anomalies in real time. Our engineers use Python, TensorFlow, PyTorch, and AWS SageMaker to train models on your data.
Projects ship in 12-14 weeks from kickoff, with fixed pricing between $80K and $250K. Every deployment includes monitoring dashboards, API integrations, and documentation for HIPAA, SOC 2, or PCI-DSS if needed.
Operations directors hire us to cut manual data entry by 70%. Supply chain managers use our demand forecasting tools to reduce inventory waste. CTOs at SaaS companies embed AI chatbots to handle Tier-1 support tickets. Healthcare administrators deploy NLP models to parse clinical notes.
Orchestrates multi-step business processes using tools like Apache Airflow or Temporal, reducing manual handoffs by 80%.
Analyzes sensor data with TensorFlow to forecast equipment failures, integrates with MQTT brokers and AWS IoT.
Uses time-series models (Prophet, ARIMA) to predict sales volumes, syncing with ERP systems like SAP or Oracle.
Extracts fields from invoices, contracts, and forms using OCR and NLP (Tesseract, spaCy), outputting to JSON or databases.
Answers FAQs and triages tickets via Rasa or Dialogflow, integrated with Zendesk or Intercom for seamless handoff.
Monitors transaction logs or network traffic with Isolation Forest models, sending alerts to PagerDuty or Slack.
Scrapes and cleans data from websites, PDFs, and APIs using Scrapy and BeautifulSoup, feeding into Snowflake.
Balances stock levels across warehouses with reinforcement learning, integrated with Shopify or NetSuite.
IRPR clients see measurable improvements within 90 days of deployment.
Our AI models process millions of records daily, reducing manual workloads by 60-80%. One logistics client cut route planning time from 4 hours to 15 minutes using a custom optimization engine built on OR-Tools.
We deploy on AWS, GCP, or Azure with auto-scaling and monitoring via Grafana. Every project includes a 90-day warranty and knowledge transfer to your team.
Not all AI development partners deliver operational results.
Generic agencies often assign junior devs who learn on your dime. They bill hourly, so timelines stretch and budgets balloon. You get a prototype that works in demos but fails in production.
IRPR ships production-grade AI tools with monitoring, alerts, and failover. We train your team to own the codebase, and we stay on retainer for ongoing improvements. No surprises.
From idea to production in 4 phases.
Every project starts with a 2-week discovery phase where we define success metrics and technical requirements. You'll see a live prototype by week 4 and a production-ready system by week 12.
We use agile sprints with weekly demos. You own the code from day one, and we train your team to maintain and extend the system after launch.
Every IRPR project includes these deliverables by default.
We don't hand over a black box. Every project comes with full documentation, source code, and a walkthrough so your team can own the system. We include monitoring and alerting from day one.
An online retailer reduced overstock by 22% using a time-series model (Prophet, AWS Lambda). The system syncs with Shopify and predicts daily sales per SKU.
A freight company cut AP processing time from 3 days to 2 hours using OCR and NLP (Tesseract, spaCy). Integrates with QuickBooks and SAP.
A factory prevented 15 unplanned downtime events per year with vibration analysis (TensorFlow, MQTT). Alerts sent to maintenance teams via Slack.
A clinic automated 70% of appointment bookings using Rasa, integrated with Epic EHR. Reduced no-shows by 30% with reminder workflows.
A payment processor catches fraud in real time with Isolation Forest models, reducing chargebacks by 40%. Deployed on AWS with Kinesis.
A brokerage automated lead routing and follow-ups using n8n and GPT-4, saving agents 10 hours/week. Integrates with Salesforce and Twilio.
Every project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices, no scope creep charges.
Every developer has 8+ years of experience building production AI systems. No junior devs learning on your project.
We ship a working AI tool in 12-14 weeks with weekly demos. If we miss a milestone, we add resources at no extra cost.
From HIPAA to SOC 2, we design with compliance in mind. Your data stays in your VPC, and we provide audit-ready documentation.
Source code, models, and data pipelines are yours. We transfer to your repo and train your team to maintain it.
Every project includes 90 days of post-launch support, monitoring, and bug fixes. We stay on retainer for ongoing improvements.
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.