AI products built by
an engineer who's
shipped in production
We at Empower AI Labs bring 15 years of Fortune 500 infrastructure experience. Now building AI products, GPU infrastructure, and open-source tools. No theory. Real systems.
Products
Everything we build ships to production
Real users. Real infrastructure. Real code.
BreveCRM
AI-powered CRM and marketing automation for local service businesses.
- AI lead scoring and pipeline management
- Automated follow-up sequences
- Local SEO and review generation tools
LawScout AI
AI-powered legal research platform with 276,970+ legal document vectors.
- Hybrid search: semantic + BM25 + cross-encoder
- AI answers with legal citations in under 2 seconds
- Federal case law and CUAD contracts
GPU Infrastructure Lab
Bare-metal AI infrastructure on Dell R640 with Tesla T4 GPU.
- vLLM benchmarked at 5.2 req/s · 260 tokens/s
- DCGM + Prometheus + Grafana monitoring
- Slurm GPU scheduling · NCCL benchmarks
Premier Cuts — AI Voice
AI voice receptionist "Sofia" — 24/7 virtual agent for appointment booking.
- Answers pricing, hours & service questions
- Sends SMS appointment confirmations
- Zero missed calls — no after-hours staff
yt-notes
CLI tool that downloads YouTube videos and auto-generates structured Markdown notes.
- Chapter parsing with TOC
- Clickable timestamps
- pip installable
Lab Results
Real benchmarks from real hardware
No cloud credits. No simulated environments. A Dell R640 with a Tesla T4 in our office.
vLLM on Kubernetes
Deployed vLLM inference on K3s with NVIDIA device plugin. Serving microsoft/phi-2 with OpenAI-compatible API.
Benchmarks
5.2 req/s at concurrency 10. 260 tokens/s throughput. ~1.87s average latency — consistent under load.
Inference Engine Comparison
Tested vLLM, SGLang, TensorRT-LLM. Documented trade-offs. Broadest hardware compatibility.
GPU Monitoring
DCGM Exporter → Prometheus → Grafana. Real-time dashboards for GPU utilization, temp, memory, power.
RAG Pipeline
LangChain + FAISS + vLLM. Document ingestion, chunking, embedding, semantic retrieval, LLM-powered generation.
HPC & Autoscaling
Slurm with GPU GRES scheduling. NCCL benchmarks (~121 GB/s). Kubernetes HPA for inference scaling.
Stack
The tools we use to build and ship
AI / ML
Infrastructure
Languages
Pre-Sales & Consulting
About
Engineers who build and ship
We at Empower AI Labs are AI Solutions Engineers. Not researchers. Not prompt influencers. Engineers who build AI products and ship them to production.
Our team brings 15 years at Dell EMC as Senior Principal Engineers, designing and delivering enterprise infrastructure solutions for Fortune 500 clients. We led the technical PoC strategy that drove revenue from $5M to $160M across 3 major accounts. Hundreds of executive briefings. Hundreds of technical demos. The team that builds the solution AND sells it.
Now we build AI products — RAG applications, inference infrastructure, GPU monitoring systems, and open-source tools — from a bare-metal lab in South Florida.
Certifications
Contact
Let's build something.
Looking for an AI Solutions Engineer who can architect, build, demo, and ship?
info@empowerailabs.dev