Ship a custom AI tool in 12 weeks with fixed pricing from $50K. No data science team required.
IRPR builds AI-powered software that plugs directly into your operations. We use GPT-4, Claude, and open-source LLMs to create chatbots, document processors, and predictive analytics tools. The easiest way to start using AI in a business is with a focused MVP that solves one high-impact problem in 12 weeks.
Every AI project ships in 8-12 weeks with a fixed price between $50K and $200K. You get a production-ready API, a frontend interface, and integration with your existing stack. We handle HIPAA, SOC 2, and PCI-DSS compliance so your AI tool meets industry regulations from day one.
Business owners hire us to automate customer support with AI chatbots. Operations leads use our AI document extraction to cut manual data entry by 20 hours a week. Product teams launch AI-powered recommendation engines. CTOs integrate AI into legacy systems without hiring a data science team.
A chatbot trained on your knowledge base that resolves 60% of tickets without human help. Integrates with Zendesk, Intercom, or Salesforce.
Extracts data from invoices, contracts, or forms using AWS Textract or Google Document AI. Saves 15-20 hours of manual entry per week.
Connects to your SQL database or Snowflake and generates plain-English insights. Built with Streamlit and LangChain for natural language queries.
Suggests products, content, or next actions based on user behavior. Uses collaborative filtering and embeddings on PostgreSQL pgvector.
Generates marketing copy, product descriptions, or social posts from your brand guidelines. Fine-tuned on GPT-4 with your data.
Handles phone orders, appointment booking, or FAQs via voice. Deploys on Twilio Voice with ElevenLabs text-to-speech.
Triggers actions across Slack, email, and APIs when specific events occur. Built on Temporal.io with GPT-4 decision-making.
Flags suspicious transactions in real time using anomaly detection. Integrates with Stripe or Plaid for fintech compliance.
Businesses that add AI tools early see measurable gains in efficiency and revenue.
Companies using AI for customer support reduce average handle time by 40% according to Intercom data. IRPR has shipped over 200 AI features for clients across 50 countries. The easiest way to start using AI in a business is to pick one workflow and automate it with a custom tool.
Our AI MVPs go from idea to live in 12 weeks. We handle model selection, fine-tuning, and deployment on your AWS or GCP account. You own the code and the model weights. No vendor lock-in, no per-seat fees.
The difference between a stalled AI experiment and a production-ready tool comes down to execution.
Generic dev shops treat AI like a regular feature. They underestimate data cleaning, prompt engineering, and latency requirements. The result is a prototype that never sees production.
IRPR starts every AI engagement with a Roadmap phase in week 2. We define the exact model, integration points, and success metrics before writing code. Fixed pricing means no surprise invoices.
A proven 4-phase process that takes you from idea to live AI tool in 12 weeks.
Phase 1 is a 2-day discovery workshop where we map your workflow and identify the highest-impact AI use case. We estimate cost and timeline by day 3.
Phase 2 delivers a fixed-price Roadmap with UI wireframes, API architecture, and a model selection report. You approve and we start building in week 3.
Every AI engagement includes a production-ready tool, full source code, and deployment on your cloud.
You receive a working AI application, not a prototype. The code is well-documented and built with Next.js, Python, or Node.js. We set up CI/CD on GitHub Actions and monitoring on Sentry.
Reduced support ticket volume by 60% within 3 months. Built with GPT-4, Pinecone vector DB, and Zendesk API. Handles returns, order status, and product questions.
Cut manual data entry from 20 hours to 2 hours per week. Uses AWS Textract, Python, and a custom validation layer. Integrates with QuickBooks.
Produces 50+ blog drafts per week with brand voice consistency. Fine-tuned GPT-4 on client style guides. Deployed on Vercel with Airtable CMS.
Flags 95% of suspicious transactions in real time. Built with Python, XGBoost, and Stripe API. Reduces chargeback rate by 40%.
Routes patients to the right specialist based on symptoms. Uses HIPAA-compliant GPT-4 API on AWS. Cuts triage time from 15 minutes to 2 minutes.
Increased user engagement by 35% with personalized content suggestions. Built with Next.js, PostgreSQL pgvector, and Segment event tracking.
Every AI project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices, no scope creep charges.
All model weights, fine-tuning scripts, and source code go into your private repo. Deployed on your cloud account. No vendor lock-in.
We build AI tools that meet strict compliance standards. Healthcare AI uses HIPAA-compliant GPT-4 endpoints. Fintech AI passes PCI-DSS checks.
From discovery to launch in 12 weeks. Weekly demos keep you in the loop. 98% of our AI projects ship on time.
Every developer on your project has shipped production AI systems. No junior devs learning on your dime. We use LangChain, LlamaIndex, and vector DBs daily.
30 days of bug fixes and monitoring after launch. We hand over runbooks so your team can maintain the AI tool independently.
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.
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