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Services

Intelligence & Infrastructure

I build four types of systems, each designed for high-stakes environments where reliability, speed, and data sovereignty are non-negotiable.

Live Demo

... The total AFE cost estimated for client ExxonMobil is $4,500,000. Contact [email protected] for details. ...

{
  "client": "Exxon",
  "cost": 4500000
}
01

AI Document Intelligence

Private, secure AI search engines (RAG) that instantly extract precise answers from messy manuals, contracts, and legacy documents.

What you get
  • Deterministic retrieval pipelines with zero hallucinations
  • Support for PDF, Word, Excel, PowerPoint (any format)
  • Azure Document Intelligence, Cognitive Search, Computer Vision
  • Custom fine-tuned embeddings for domain-specific terminology
Tech: Python, Azure AI, Kafka, Docker, K8s, PyTorch, FastAPI
Timeline: 2 to 6 weeks
Live Demo
INFRASTRUCTURE TOPOLOGY
$84k/mo$12k/mo
02

Cloud & Data Infrastructure

Audit, containerize, and automate your cloud infrastructure. I've helped teams slash AWS spend by 40 to 70%.

What you get
  • Full cloud cost audit and right-sizing recommendations
  • Docker/Kubernetes orchestration and CI/CD pipelines
  • High-performance ETL pipelines for data transformation
  • Infrastructure-as-Code (Terraform/Pulumi)
  • Monitoring dashboards (Prometheus, Grafana)
Tech: AWS, Azure, Docker, K8s, Terraform, GitHub Actions, PostgreSQL
Timeline: 1 to 4 weeks
Live Demo
VOICE ANALYSIS
INTENT: booking SENTIMENT: positive
03

Voice & Multimodal Agents

Intelligent voice agents that handle customer service, lead qualification, and scheduling at 90% lower cost than traditional call centers.

What you get
  • Real-time natural language processing and intent detection
  • Sentiment analysis with automatic human escalation
  • Appointment scheduling and CRM integration
  • Multi-channel support (phone, chat, email)
  • Analytics dashboards for call quality and conversion
Tech: Python, WebSockets, OpenAI Whisper, Twilio, FastAPI
Timeline: 3 to 8 weeks
Live Demo
EDGE COMPUTE
latency: 2ms
04

Embedded Edge Compute & Low-Level Systems

Deploy autonomous logic and AI models directly onto edge devices, compressing workloads by 100x and eliminating internet dependencies.

What you get
  • Edge-optimized model inference (TensorRT, ONNX)
  • Embedded C/C++ systems with real-time constraints
  • LLVM/Clang compiler optimization for custom workloads
  • Field-deployable solutions for rigs and factory floors
  • Zero cloud dependency for critical physical operations
Tech: C/C++, Rust, LLVM/Clang, Python, ONNX, TensorRT, ARM/RISC-V
Timeline: 4 to 12 weeks

The math is simple. Traditional agencies bill for org charts: project managers relaying messages to junior developers who relay them to offshore teams. Every layer adds cost, delays, and lost context. At Montrose Labs, you get one senior engineer who architects, builds, and ships your system end-to-end. I combine deep industry experience with custom AI tooling that multiplies my throughput. The result: enterprise-grade work without the enterprise-grade invoice.

Ready to ship?

Have a project that doesn't fit neatly into one of these? That's fine, most don't.
Tell me what you're working on. 30-minute call, no pitch.

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