SYSTEMS ONLINE // AI SYSTEMS & AUTOMATION

We build AI systems that run every day without babysitting.

Here's one, running live, in public — a daily statistical product our systems research, render, and publish every trading morning at 5 AM. The same discipline goes into everything we build.

See it live Start a conversation
13+
SYSTEMS RUNNING UNATTENDED ↓
5
ACTIVE AI SYSTEMS
1,000+
MNQ SESSIONS IN THE DATASET
∞
PROBLEMS LEFT TO SOLVE
// LIVE BUILDS

Built, shipped, running — in public

Not case studies. Live systems you can watch work, with the receipts published as they happen.

PUBLIC_BUILD // DAILY

MNQ Almanac

A daily conditional-statistics card for MNQ futures: today's session condition, and what the market has historically done under it — computed from 1,000+ sessions with Wilson 95% confidence intervals and divergence flags when recent behavior drifts from full history. The pipeline researches, renders, and posts the card itself every trading morning. Historical statistics, never predictions.

PYTHONWILSON_CIHEADLESS_RENDERX_APILAUNCHD
@MNQALMANAC ON X → CARD ARCHIVE + HOW TO READ IT →
MNQ Almanac card for Thu Aug 27, 2026 — condition: gap up · 100+ pts; 229 matched sessions of 1,050
LATEST CARD — THU AUG 27, 2026229 MATCHED / 1,050 SESSIONS
PUBLIC_BUILD // PRE-REGISTERED RESEARCH

Prospector

Trading hypotheses tested the way research should be: the full test plan is written down and SHA-256-hashed before any data is touched, the hash posted publicly. When the verdict is in, the sealed document publishes — failures included — and anyone can verify the hash against the exact bytes that were sealed. Most ideas fail. You'll see those too.

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THE LAB →
// seal ledger — awaiting first public seal
mechanism: sha256(preregistration.pdf) → posted → test → verdict + document published
verify: sha256sum <published_doc> == posted hash
status: first public seal pending — no entries yet, and we won't invent one.
INTERNAL_BUILD // THE DESK BEHIND THE CARD

Almanac Console

The instrument the daily card is computed at: a read-only console over the Almanac profile table and the Prospector ledger, running on our own hardware. Session structure on one side, the morning's conditional stats on the other — every rate carries its sample size and a Wilson 95% confidence interval, full history against the last 250 sessions, always. No broker credentials, no write paths, no mutation buttons. A window, not a door.

REACTTYPESCRIPTFASTAPILIGHTWEIGHT_CHARTSREAD_ONLY
Almanac Console research view — an MNQ session chart with Initial Balance levels beside the morning brief: conditional statistics, each with sample size and Wilson 95% confidence interval, full history compared against the last 250 sessions
RESEARCH VIEW — REAL DATAPRIVATE BY DESIGN; SHOWN BECAUSE RECEIPTS
INTERNAL_BUILD // PUBLIC RECORDS, MADE USABLE

Oro Property Datamart

Pierce County publishes its assessor and treasurer rolls as raw weekly file drops — public data that is practically inaccessible. Oro downloads, validates, and loads all of it into one queryable database on our own hardware, every week, unattended: 342,000 appraisal accounts, 642,900 recorded sales, structures, land, and tax rolls — every parcel in the county. Any parcel's valuation, structure, and sale chain answers in milliseconds. Aggregate analytics and per-parcel answers — never lists of people. The pattern — ingest, validate, serve — runs the same on any data your business already has.

PYTHONDUCKDBVALIDATED_ETLWEEKLY_CRONREAD_ONLY
// datamart — rebuilt weekly from the county's drop
source: Pierce County open datamart (assessor + treasurer)
coverage: all of Pierce County · 13 tables · 342,383 appraisal accounts · 642,900 recorded sales
lookup: any county address → valuation · structure · sale chain, in 18 ms
guard: every file size-checked against last week's — out of tolerance, the load refuses and says so.
AI_COMPANION

Scout Adaptive AI Companion

An intelligent personal assistant that meets users wherever they are on the AI adoption curve — daily briefings, calendar awareness, email intelligence, and natural conversation, with no technical knowledge required.

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// WHAT ELSE WE BUILD

Full-stack AI for your business

From strategy to deployment. AI systems that deliver real outcomes — not proof-of-concepts.

[01]

Agentic Workflow Optimization

Redesign repetitive processes with autonomous AI agents. Reduce manual overhead and build systems that improve over time.

[02]

MCP & API Integration

Connect LLMs natively to your business tools and data via the Model Context Protocol.

[03]

Infrastructure & Deployment

Reliable, secure deployment. From VPS to Cloudflare edge — built to run 24/7 without intervention.

[04]

AI Audits & Strategy

Objective assessment of where AI moves the needle — and where hype outpaces value. Actionable roadmaps, not slide decks.

// THE FLEET

A fleet, not a folder of scripts.

The “13+ systems” up top isn’t a metaphor. Behind the builds above runs a fleet of scheduled agents on hardware we control: nightly research pipelines, morning publishers, weekly data rebuilds, conversational agents, uptime watchers. Every one logged. Every one checked.

The discipline is the point. A status dashboard verifies each job’s exit code — not just that a log file moved. The morning send carries a dead-man’s switch that raises an alarm if it fails to fire. An off-site watchdog checks the fleet every two minutes and alerts us after three misses. Pipelines validate their inputs before loading — when a source drifts out of tolerance, they refuse and say so. When something breaks, we know before anyone else notices.

// fleet census — 2026-08-27
research & publishing: 6 · monitoring & alerting: 5
data pipelines: 2 · conversational agents: 2
client delivery: 1 · internal consoles: 1
cadence: 2-minute checks → nightly research → 5 AM publishing → weekly rebuilds
principle: exit codes over log freshness · refuse bad inputs · fail loudly.
// ABOUT

Builders, not advisors.

The AI landscape moves fast. Most businesses know they need to adapt — few know where to start, what's worth building, and what's just noise. We cut through that.

Everything we recommend, we can build. Everything we build, we deploy and maintain. No handoff. No vague deliverables. Just working systems.

The systems above aren't demos — the same pattern of automated research, honest statistics, and daily delivery can run on your business's own data.

APPROACH

A working prototype first, not a strategy doc. Real results before committing to scale.

SECURITY

Security, access control, and privacy as first-class requirements from day one.

RELIABILITY

Infrastructure you control — monitored, logged, designed to run without intervention.

PARTNERSHIP

We stay involved through the full lifecycle. AI systems need iteration, and we're there for all of it.

Ready to build something?

No pressure, no pitch deck. Just a conversation about what AI can do for your business.

Start a conversation admin@nwcortex.com