We build high-impact AI tools that start paying back in 8-12 weeks. No 18-month research projects. Fixed pricing from $60K.
IRPR develops AI projects that generate measurable business returns in weeks, not years. We use production-ready tech like OpenAI GPT-4o, Anthropic Claude, Google Vertex AI, and fine-tuned open-source LLMs (Llama 3, Mistral). Every project targets a specific KPI – reduced support tickets, faster invoice processing, higher lead conversion.
What ships: a working AI application (SaaS or internal tool) in 8-12 weeks. Pricing is fixed after the Roadmap phase (week 2), typically $60K-$200K depending on complexity. All projects ship with SOC 2-compliant infrastructure and API integrations.
Who hires us: Heads of Product at SaaS companies automating user workflows, COOs at logistics firms reducing manual data entry, Marketing Directors at ecommerce brands building personalized recommendations, and CTOs at healthcare startups needing HIPAA-compliant clinical decision support.
Integrates with Zendesk or Intercom. Handles 40% of Tier-1 tickets instantly using LLMs, reducing average resolution time by 3 hours.
Uses AWS Textract and LLMs to extract data from invoices, claims, or contracts, cutting manual data entry costs by 70%.
Forecasts sales, inventory, or churn with models running on BigQuery. Delivers 15% accuracy lift over spreadsheets, deployed in 10 weeks.
Ranks 1,000+ leads daily using Scikit-learn and Salesforce API. Improves sales conversion by 15% within 2 months.
Drafts financial summaries, performance reports, or market updates using GPT-4o. Saves analysts 10 hours per week per user.
Deploys vector search with Pinecone or Weaviate to surface answers from 100K+ docs, reducing internal help desk tickets by 50%.
Real-time product suggestions via TensorFlow and Redis, integrated with Shopify Plus. Lifts average order value by 18%.
Scans transactions or communications for regulatory violations using NLP models. Flags 95% of issues before human review, on AWS GovCloud.
Our AI projects track concrete financial metrics from month one.
We build AI solutions that tie directly to cost savings or revenue growth. For a logistics client, our route optimization AI reduced fuel costs by 12% in the first quarter. An ecommerce chatbot we shipped handles 4,200 conversations per day, deflecting 35% of support volume.
IRPR has shipped 200+ AI integrations across 50 countries. Our fixed-price model means you know the cost before a single line of code is written. Projects start at $60K for an MVP that goes live in 8-12 weeks.
Most AI initiatives fail to deliver ROI because they are too broad.
The difference between a successful AI project and a stalled one is scope and execution speed. IRPR focuses on narrow, high-impact use cases that can be built in a single quarter. We avoid multi-year machine learning research projects.
Our AI is built with off-the-shelf models fine-tuned for your data, not from scratch. This cuts development time by 60% and gets you to ROI faster. We deploy on your cloud (AWS/GCP/Azure) in a secured environment.
Every engagement follows a 5-phase process to guarantee speed and focus.
We start with an ROI sizing workshop (week 1) where we map AI capabilities to your P&L. Then we build a functional prototype by week 4 using your data. By week 8, the tool is in beta with real users.
After launch, we iterate on feedback for 2-4 weeks until KPIs are met. The entire project stays fixed price with a 98% on-time delivery record across 200+ products.
Beyond the software, we deliver operational handoff and full ownership.
You own the code and the models. No vendor lock-in. We deploy to your cloud account and transfer all credentials.
Reduced support headcount costs by $180K/year using a GPT-4o chatbot that resolves 40% of tickets instantly. Stack: Next.js, Python backend, OpenAI API, Intercom integration.
Cut AP processing time by 85%, from 4 days to 5 hours, using OCR and LLM extraction. $120K annual savings on 80,000 invoices. Stack: AWS Lambda, Amazon Textract, Anthropic Claude, QuickBooks.
Increased average order value by 18% and boosted repeat purchases by 22% via a real-time recommendation engine. Stack: TensorFlow, Redis, Shopify Plus.
Improved sales conversion by 15% by ranking leads with ML model based on 50+ attributes. ROI within 2 months. Stack: Python, Scikit-learn, Salesforce API, Snowflake.
Doctors save 7 hours per week with an AI scribe that generates SOAP notes from conversations. HIPAA compliant. Stack: Whisper transcription, fine-tuned Llama 3, FHIR integration.
Journalists create 3x more content with AI that drafts earnings summaries, sports recaps, and weather reports automatically. Stack: Node.js, GPT-4o, WordPress REST API.
Every AI project gets a fixed quote in week 2. No ballooning budgets; $60K-$200K is the range for an MVP that ships in 12 weeks.
No training models from scratch. We fine-tune GPT-4o, Claude, or open-source models on your data, getting to accuracy faster and cheaper.
All code, prompts, and model weights are transferred to your repo and cloud. No recurring licensing fee.
We tie every sprint to a measurable business outcome: fewer support tickets, faster processing, or more revenue. We track those metrics from day one.
No junior developers. Our team has shipped 200+ AI products and includes engineers from AWS, Microsoft, and top AI startups.
We work with teams globally across 50+ countries, overlapping core hours for demos and syncs. No 9-to-5 location constraints.
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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