✦ AI Development Studio ✦

Build Intelligent
Systems That Scale

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We design, build, and deploy production-grade AI for companies that want to move faster than their competition.

✦ What We Do ✦

End-to-End AI Development

From initial strategy to production systems that actually perform — we cover every phase of building AI that matters.

01

AI Strategy & Roadmapping

We audit your current stack, identify high-value AI opportunities, and build a prioritized roadmap that aligns with your business goals — not just the hype cycle.

DiscoveryPlanningROI Analysis
02

Custom AI Development

From intelligent agents to end-to-end ML systems, we build AI that fits your specific workflows — not off-the-shelf products glued together with hope.

LLMsAgentsML Systems
03

ML Pipeline Architecture

Scalable, observable data and training pipelines built for production. We design infrastructure that grows with your data and keeps models performing over time.

Data EngineeringTrainingInference
04

AI Integration & APIs

Seamlessly connect AI capabilities to your existing products. We build clean, documented APIs and integrations that your engineering team will actually enjoy maintaining.

API DesignWebhooksSDKs
05

LLM Fine-tuning & RAG

Make foundation models genuinely useful for your domain. We fine-tune, build retrieval-augmented systems, and evaluate rigorously so you ship with confidence.

Fine-tuningRAGEvaluation
06

AI Ops & Monitoring

Deployed models drift. We set up the observability, alerting, and retraining workflows that keep your AI performing in production — not just on launch day.

MonitoringDrift DetectionMLOps
✦ Why MindRevelry ✦

Serious AI work deserves a serious team

Most 'AI agencies' learned about LLMs six months ago. We've been building ML systems for years. Here's what that difference feels like.

50+
Models deployed to production
3×
Avg. performance improvement
98%
Client retention rate
01

Built by AI engineers, not agencies

Our team has shipped AI in production at scale — not just built slides about it. You get engineers who have done this before, not account managers.

02

Shipped to production, not just POCs

We define success as code running in your production environment, driving measurable outcomes — not a demo that looks good in a presentation.

03

Embedded team, not outsourced vendor

We work inside your Slack, your sprints, your standups. Integrated with your team, not tossed over a wall every two weeks.

✦ How We Work ✦

A process built for real outcomes

No surprises, no runaway scope. Clear and collaborative from first call to deployment.

01

Discovery

We get deep in your business. Not a 30-minute intro call — a real technical and strategic audit of where AI can unlock the most value.

— Stakeholder interviews — Technical stack review — Opportunity mapping
02

Design

Architecture blueprints, data flow diagrams, and a clear spec before a single line of production code is written. We build the right thing first.

— System architecture — Data modeling — Prototype validation
03

Build

Iterative, test-driven development with weekly demos. You always know where the project stands and have early access to working software.

— Agile sprints — Weekly demos — Continuous integration
04

Deploy

Production-grade infrastructure, monitoring, and documentation. We don't hand you a zip file and disappear — we make sure your team can own it.

— Production deployment — Observability setup — Handoff & training
✦ Our Work ✦

AI built for the real world

A sample of what we've shipped. Every project is different — the bar for production-readiness never is.

FinTech
RAG LLM Document AI Azure

Enterprise LLM Document Intelligence

Built a RAG-powered document intelligence platform for a Fortune 500 financial services company, processing thousands of contracts daily with 96% accuracy on key clause extraction.

Reduced contract review time by 74%
Manufacturing
Time Series MLOps IoT Kafka

Predictive Maintenance Pipeline

End-to-end ML pipeline ingesting sensor data from 400+ machines to predict failures 72 hours in advance. Integrated directly into their existing maintenance workflow.

Prevented $2.3M in unplanned downtime
Healthcare
Computer Vision Edge ML Real-time PyTorch

Computer Vision QA System

Real-time visual inspection system using custom-trained computer vision models to catch manufacturing defects in medical device components before they leave the production line.

Defect detection improved by 3×
Have a project in mind — let's talk
✦ Insights ✦

Thinking on AI that ships

Practical perspectives on AI development, architecture, and what it takes to go from demo to production.

AI Strategy Hiring

What to Expect From an AI Development Partner

Not all AI agencies are the same. Here's how to evaluate whether a potential partner will actually ship, or just bill you for a slide deck.

LLMs RAG

RAG vs. Fine-Tuning: How to Actually Choose

The question isn't which is better — it's which problem you're actually trying to solve. A practical framework for making the right call.

AI Strategy Production

Why Most AI Pilots Fail to Reach Production

The gap between a working demo and a deployed system is where most AI projects die. Here's what separates the ones that ship.

View all insights
✦ SMS Updates ✦

Stay ahead with
AI insights

Subscribe for occasional SMS updates on AI development trends and insights from our team. No spam — only signals worth your attention.

  • ✦ Practical AI development insights
  • ✦ New capabilities and tools worth knowing
  • ✦ Occasional announcements from our team

We never share your number. Reply STOP at any time to opt out. Message & data rates may apply. US numbers only.

US numbers only. Standard carrier rates apply.
✦ Get In Touch ✦

Ready to build
something real?

Whether you have a concrete spec or just a problem to solve, we're the right first call. We'll tell you honestly if AI can help and what it would take.

✦

We respond within 24 hours — every time.

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No pitch decks. No NDA required to start.

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First technical call is free. Always.