Applied-Systems Studio
LFX AI is a technology studio. We take hard technical problems — AI platforms, data products, and the high-performance and cryptographic systems underneath — from architecture to production. Real deployments, not decks. And we build our own IP with the same depth. The public tools below are live and verifiable.
Selected Work
Real systems, built end to end — some running in production, some built and demonstrated for clients. Client work is shown sanitized; the private data, prompts, and repos stay confidential.
A sales team was buried in manual prospect research and inconsistent outreach. This platform scores prospects, drafts outreach, runs an AI assistant workflow, and produces a daily pipeline briefing — so reps spend time selling, not assembling spreadsheets. Built and demonstrated end to end with the team's real data.
Client-specific data, prompts, and private repo details are not public.
Turning raw market signals into client-ready intelligence was slow, manual analyst work. This pipeline generates dossiers, tactical battle cards, and visualizations into a tiered client portal — productized and delivered on a schedule.
Methodology, scoring formulas, prompts, and client strategy are confidential.
Clover merchants couldn't see item-level performance without exporting and crunching it by hand. This app reads revenue, item, and hourly breakdowns straight from the POS — same-day answers, no spreadsheets. Built for a client; generalizable to any Clover merchant.
Staying current across the dev and AI landscape — and posting consistently — is a daily grind. This pipeline pulls public signals, synthesizes briefings, generates captions and images, and posts to social channels on its own, every day.
And three you can open right now — public intelligence tools that pull from open sources, synthesize with an LLM, and publish a fresh briefing every morning, on their own:
GitHub trending repo analysis with categorization and significance scoring.
AI industry briefing from Hacker News, arXiv, and major AI framework releases.
Developer news curated into must-reads, worth-knowing items, and RSS output.
Services — One Lane
One thing, done well: complex technical work taken from scope through deployment. AI platforms and agentic systems, data products that turn scattered inputs into deliverables, and the high-performance or cryptographic infrastructure underneath. Builder-led and accountable end to end: architecture, implementation, review, risk checks, and deployment.
Start with a paid consultation
A focused technical session
A focused entry point before any build commitment. You leave with a written summary: feasibility, direction, key risks, and the honest next step.
What the call clarifies
How It Runs
Confirm the buyer, business problem, budget signal, timeline, and technical fit.
Run a paid technical session and produce a written summary of feasibility and direction.
Turn the idea into requirements, architecture, milestones, and SOW-ready scope.
Execute through work packages, contractors where useful, PRs, tests, and reviews.
Ship through review gates, audit checks, deployment approval, and maintenance handoff.
What We're Building
LFX AI isn't only a services shop. The studio develops its own technology and products — the same depth, pointed at durable IP. A selection of what's in progress:
Reusable technology for turning scattered, unstructured data into finished, source-graded output — ingestion, multi-step LLM analysis with quality gates, and clean document generation. Engineering we build and adapt per project, not a product we resell.
Research into low-latency, deterministic networking and scheduling — routing and timing work built and measured on real hardware.
Cryptographic and zero-knowledge methods for making AI and compute activity more verifiable.
Partners & Referrals
LFX AI works with sales partners and referral sources who can identify real business problems, build lead dossiers, qualify prospects, and schedule paid consultations.
Best-fit introductions
About
I'm Alex Merricks, founder of LFX AI LLC. I build and orchestrate production systems across AI platforms, automation, cryptographic infrastructure, and high-performance software.
The operating model is builder-led: scope carefully, architect the system, decompose the work, review the code, audit the risks, and deploy only when the implementation is ready.
Start
Best first message: what you want to build or improve, what process is broken today, who owns the decision, and whether you are ready for a paid technical consultation.