NWCortex designs, deploys, and operates autonomous AI systems — research pipelines, data platforms, and intelligent agents — that work every day without supervision.
Not case studies. Working systems that research, compute, publish, and serve — with methodology and results documented as they happen.
A conditional-statistics card for MNQ futures: the session's 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. Historical statistics, never predictions.
Explore the Almanac
Research with the rules set first. Pass/fail criteria are fixed in code before any test runs, and every result is kept, failures included. Hypotheses we take public are sealed first: the plan's SHA-256 hash is posted before testing, and the verdict follows either way.
The labCity and county permits, SEPA reviews, construction-stormwater coverage, WSDOT and ODOT bids, L&I public works, Hanford procurement, federal contracts, energy-facility filings, and port and district agendas — more than 50 public sources and 38,000+ project records, ingested, categorized, and cross-linked by parcel, address, and location so a project's filings line up across agencies. Business and agency names stay attached to the record. One database, not fifty portals.
Built for contractors, suppliers, developers, and public-sector teams who need the pipeline across eight Washington and Oregon counties without reconciling dozens of agency sites by hand.
Pierce County's assessor and treasurer rolls — 342,000 appraisal accounts, 642,900 recorded sales — ingested, validated, and served from one queryable database on our own hardware, rebuilt weekly without intervention. Aggregate analytics and per-parcel answers, never lists of people.
An adaptive AI companion that meets people wherever they are on the adoption curve — scheduled briefings, calendar and email awareness, natural conversation. No technical knowledge required.
From assessment to deployment to ongoing operation. The same engineering discipline behind our own systems, applied to yours.
Redesign repetitive processes around autonomous AI agents. Reduce manual overhead with systems that improve over time.
Connect language models natively to your business tools and data through the Model Context Protocol.
Secure, reliable deployment — from dedicated hardware to the edge — built to run 24/7 without intervention.
Objective evaluation of where AI moves the needle and where hype outpaces value. Actionable roadmaps, not slide decks.
Our research products follow rules we publish and hold ourselves to. If a number can't be enumerated, it doesn't appear.
Each statistic is reported with its count and a Wilson 95% confidence interval, full history compared against the most recent 250 sessions.
Pass/fail criteria are fixed in code before any test runs, so results can't be tuned after the fact. Hypotheses we take public are hashed and posted first, and their verdicts publish either way. Most ideas fail; those results are kept too.
Methodology, data coverage, and limitations are documented alongside every result. Nothing on our site promises a trade or an outcome.
Behind our products runs a fleet of scheduled systems on infrastructure we control: nightly research pipelines, publishing pipelines, weekly data rebuilds, conversational agents, uptime watchers. Every one logged. Every one checked.
When something breaks, we know before anyone else notices.
A status dashboard verifies each job's exit code — not just that a log file moved.
Scheduled sends raise an alarm if they fail to fire, so silence is never mistaken for success.
An independent monitor checks the fleet every two minutes and alerts after three consecutive misses.
Pipelines check inputs against tolerance before loading. Out of range, the load refuses and says so.
NWCortex is an AI technology company based in the Pacific Northwest. We design, deploy, and operate AI systems end to end — from the first prototype through sustained, unattended operation.
The AI landscape moves quickly. Most organizations know they need to adapt; fewer know where to start, what's worth building, and what's noise. Our answer is working systems: everything we recommend, we can build, and everything we build, we run.
A working system before a strategy document. Real results before committing to scale.
Access control, privacy, and least privilege treated as first-class requirements from day one.
Infrastructure you control — monitored, logged, designed to run without intervention.
We stay involved through the full lifecycle. AI systems need iteration, and we're there for it.
No pitch deck. A direct conversation about your data, your workflows, and what's worth building.