Teregon
A systems-minded identity for a living, changing world.
WATER SYSTEMS · RESPONSIBLE INTELLIGENCE
Software
that flows.
Applied AI and software for messy information, real decisions, and a living world.
TEREGON LABSSTUDIO DECK / 2026
01 / BRAND ARCHITECTURE
One parent.
Three clear layers.
A simple structure connects Teregon’s point of view to what we build and where we apply it.
↓
Teregon Labs
Applied AI and software: grounded assistants, decision systems, and production tools.
Teregon Water
Watershed systems and software for water filtration and appliance operators.
CONFIGURABLE WATER-SECTOR OFFERINGS · NOT CLAIMED AS DEPLOYED WATER CLIENT SYSTEMS
Manual-grounded service assistant
Answers from approved manuals and product guidance; hands off when sources do not cover the question.
Deterministic case triage
Routes service cases through explicit policy checks, with review before consequential actions.
Support signal + QA
Surfaces repeat issues, product questions, and service-quality patterns across support records.
TEREGON → TEREGON LABS → TEREGON WATERWORLDVIEW → CAPABILITY → DOMAIN FOCUS
02 / WHAT WE BUILD
The signal becomes
a useful system.
We work where information is scattered, workflows are hard to see, and the next decision matters.
Grounded assistants
Search trusted sources, summarize records, triage requests, and prepare next steps for review.
Signals in one view
Connect CRM, product, support, and field records into forecasts and decision-ready tools.
Production software
Ship web apps, internal tools, integrations, and reliable data paths around real work.
Watershed + river systems
Connect rainfall, river observations, and watershed context to understand how water moves across a place.
RETRIEVAL · AGENTS · FORECASTS · WATERSHED SIGNALSDESIGN → BUILD → IMPROVE
03 / LIVE CLIENT WEBSITE BUILDS
Built for the
real-world journey.
Two distinct businesses, each with a clear digital path and a live production website.
HOSPITALITY / EVENTS · LIVE
ERIA Events
Venue and experience discovery connects event stories and press to private and corporate inquiries.
VENUE DISCOVERYINQUIRY FLOW
NEXT.JS 16 · REACT 19 · SANITY CMS
EXECUTIVE SEARCH · LIVE
W3 Sourcing
Practice, methodology, results, and leadership context guide visitors toward a direct inquiry.
SERVICE STORYDIRECT INQUIRY
NEXT.JS 16 · REACT 19 · TYPESCRIPT
TEREGON CLIENT WEBSITE BUILDSLIVE LINKS: ERIA.CO · W3SOURCING.COM
04 / PRIOR BRIO TEAM EXPERIENCE · BRIOBOT
Support triage
with evidence gates.
A Salesforce e-commerce support workflow that gathers context, retrieves policy and product evidence, and proposes an action for review.
LANGGRAPHGather case context → retrieve → image-read → plan and call tools → extract a proposed update.
DETERMINISTIC GATESPython checks decide which fields may be written; dry-run and safe-stop paths keep uncertain cases reviewable.
OBSERVABILITYLangfuse traces make the agent's steps inspectable.
SUPPORT CASE → GROUNDED PROPOSAL → HUMAN / RULE CHECK → OPTIONAL SALESFORCE WRITE
COMPANY-LEVEL CONTEXT~$240K ARR at the timeCompany-level ARR context reported by the team; not attributed to this system.
TEAM PRODUCT EXPERIENCE · NOT A TEREGON CLIENT DEPLOYMENTLANGGRAPH · SALESFORCE · LANGFUSE
05 / PRIOR BRIO TEAM EXPERIENCE · BRIOPEDIA
A support library
that stays grounded.
An internal knowledge system that gives support teams a maintained source, searchable history, and chat over retrieved context.
SOURCEGit-backed wiki corpus; updates retain version history.
RETRIEVALFAISS finds relevant passages from the source library.
CHATFastAPI + Next.js app with provider-agnostic local/cloud LLMs; answers use retrieved context.
DOCKER COMPOSE · SOURCE-BOUND SUPPORT KNOWLEDGE
COMPANY-LEVEL CONTEXT~$2M ARR nowCompany-level ARR context reported by the team; not attributed to this system.
TEAM PRODUCT EXPERIENCE · NOT A TEREGON CLIENT DEPLOYMENTGIT · FAISS · FASTAPI · NEXT.JS · LLM CHAT
06 / WATER INTELLIGENCE · ILLUSTRATIVE CONCEPTS
Water moves through
a connected system.
Illustrative Teregon Water concepts—not deployed products—show how river and watershed signals could support planning.
WATERSHED / ILLUSTRATIVE
From ridge to river
Combine land cover, rainfall, stream observations, and nearby assets to explore upstream-to-downstream connections.
RIVER FLOW / ILLUSTRATIVE
Follow the flow
Bring rainfall, tributary, and stream observations together to explore how conditions change along a river system.
RAINFALL · RIVERS · WATERSHEDS · COMMUNITIESEXPLORE CONDITIONS, NOT FALSE CERTAINTY
07 / A PRACTICAL WAY TO START
Measure the
change that matters.
Start with the decision and a baseline. Ship in the real workflow, then verify what changed.
Scope the decision
Map the workflow, sources, constraints, and owner.
Build the smallest useful system
Connect data, interfaces, models, and checks.
Put it into the work
Keep people, permissions, and failure paths in view.
Verify the outcome
Compare against an agreed baseline and refine.
POSSIBLE MEASURES · TIME TO FIND AN ANSWER · REPEAT ISSUE RATE · FORECAST VARIANCE · TIME TO INTERPRET WATERSHED SIGNALS
WE PUBLISH IMPACT ONLY WHEN THE EVIDENCE IS VERIFIED.
WE PUBLISH IMPACT ONLY WHEN THE EVIDENCE IS VERIFIED.
DISCOVERY → PILOT → PRODUCTION → ITERATIONNO OUTCOME NUMBERS WITHOUT A VERIFIED BASELINE
WATER SYSTEMS · RESPONSIBLE INTELLIGENCE
Bring us
the messy part.
Tell us what is stuck: the workflow, the scattered sources, or the decision that needs a clearer view.
The website assistant is a source-grounded guide to Teregon’s published work. For a project conversation, email us directly.
hello@teregonlabs.com ↗TEREGON LABS · TEREGON WATERHELLO@TEREGONLABS.COM
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