Engineering software that matters.
Environmental science platforms, AI automation, smart infrastructure. Fort Collins, Colorado.
Deep domain expertise.
Environmental Science & Climate Technology
Greenhouse gas emissions modeling, soil carbon quantification, and agricultural management simulation. We integrate biogeochemical models like DayCent and Landscape DNDC with modern cloud platforms to make complex science accessible.
AI-Powered Business Intelligence
Self-improving knowledge engines that turn manual, knowledge-intensive processes into structured automations. Our Intelligence Node architecture combines deterministic classification with LLM fallback and human-in-the-loop learning.
Geospatial & GIS Applications
PostGIS spatial databases, MapLibre GL interactive mapping, Cloud Optimized GeoTIFFs, and dynamic tile serving. From field boundary drawing to zonal statistics at 30m resolution across entire states.
Smart Home & IoT Infrastructure
Building automation, smart meter management, and home commissioning lifecycle systems. 8+ years integrating Siemens Desigo BMS, CopperLabs utility metering, and IoT device provisioning at community scale.
Mobile & Marketplace Platforms
React Native cross-platform applications with Expo managed workflows, marketplace bid economies, Stripe payment integration, and OTA update deployment. Database-driven service catalogs that scale without app rebuilds.
Enterprise & Operations Software
Multi-tenant SaaS platforms, complex workflow automation, background job processing, and multi-API integration orchestration. From county filing pipelines processing 500+ records in seconds to role-based admin portals.
Enterprise systems at scale.
Cloud-Native Agricultural Emissions Platform
Agricultural researchers needed to run complex biogeochemical simulations but existing tools required desktop installations, manual data formatting, and deep technical knowledge of model internals.
Built a 4-tier microservices platform connecting an interactive mapping frontend to model orchestration services. Users draw field boundaries, enter management practices, and receive emissions projections — the system handles model translation, execution, and results visualization. Supports DayCent and Landscape DNDC engines with a plugin architecture for additional models.
Enterprise Document Intelligence & Automation Engine
A global building technology company needed to extract structured data from 50+ page vendor inspection PDFs — a manual process taking 8 hours per report across multiple report formats and vendor-specific terminology.
Deployed an on-premise Intelligence Node with multi-path document extraction (rule-based parsing for 99.8% of PDFs, Claude vision API fallback for scanned documents). Built a three-tier classification engine with confidence scoring and a human-in-the-loop learning loop — every technician correction automatically improves the knowledge base for future processing.
Conservation & Compost Application Planning Tool
Conservation scientists needed a way for landowners to assess soil organic carbon and water capacity at parcel level, with decision support for compost application planning across California counties at 30m resolution.
Built a hybrid rendering geospatial application combining client-side vector tiles (PMTiles via MapLibre GL) with server-side raster WMS (GeoServer). Node.js backend orchestrates Python GDAL processes for raster operations. Includes point-click analysis, area-of-interest drawing, zonal statistics, and 1-30 year benefit projections.
Enterprise IoT Community Management Platform
A 3,200+ home smart community needed a unified platform to manage the complete lifecycle from county lot filing through 2-year post-closing homeowner support — coordinating builders, technicians, and 15,000+ IoT devices.
Built a hybrid enterprise architecture combining an ASP.NET Core web platform with a Python CLI filing pipeline. The system manages 4-phase home commissioning, automated lot filing (500+ homes processed in under 30 seconds), drag-and-drop technician scheduling, and real-time IoT utility monitoring across gas, electric, and water meters.
The Intelligence Node
You know that one person on every team who just knows how everything works? The one everyone asks before checking the manual? The Intelligence Node captures that knowledge and makes it operational — a self-improving engine that gets smarter every time someone uses it.
Not a chatbot. Not a search engine. A structured knowledge system with domain-specific classification, deterministic processing, and learning loops that compound over time.
Knowledge Ingestion
We immerse in your domain — standards, classifications, vendor terminology, operational rules. This becomes the Intelligence Node's reference data layer.
Workflow Automation
Manual processes become structured automations. Document extraction, classification, validation — each workflow uses deterministic rules first, AI fallback for edge cases.
Human-in-the-Loop Learning
When the system encounters low-confidence results, your team reviews and corrects. Every correction feeds back into the knowledge base automatically.
Compounding Intelligence
The system gets smarter with every workflow processed. New automations reuse 80% of existing domain knowledge out of the box. Competitors start at zero.
Research, enterprise, and everything between.
Government & Research
- USDA NRCS
- USDA FAS
- CARB
- NCAT
- Colorado State University
- UNEP/GEF
- CEMML / U.S. Army IMCOM
International Academic
- Aarhus University
- University of Bern
- University of Hawaii
- University of Leicester
- University of East Anglia
- IDRC
- IRD France
- ISRIC Netherlands
Foundations & Conservation
- Novo Nordisk Foundation
- Point Blue Conservation Science
- FFAR
- Soil Health Institute
- SEGES
Enterprise & Commercial
- Siemens
- Walmart
- National Grid
- John Deere
- Lumiere Technology
- Lixil
- GOJO Industries
Agriculture & Carbon
- Indigo Ag
- NORI
- SoilMetrics
Technology & IoT
- CopperLabs
- iBlinds
- Sterling Ranch
- Elemental Machines
- Aquana
- ThinkLite
Born in research. Built for production.
The Origin
Axios grew out of Colorado State University's Research Software Facility, where our founder spent 14 years building software for environmental science — rising from engineer to director. The work: nationally recognized platforms for the USDA and research institutions worldwide. That's not a pivot into climate tech. It's the origin story.
Fort Collins sits in Colorado's Front Range research corridor — home to NOAA and NIST in Boulder, NREL in Golden, multiple USDA research facilities, and Colorado State University. We've been embedded in this ecosystem for over a decade, and it shaped how we think about building software for science and government.
“Axios” means “worthy” in Greek. We chose it because we believe the problems we work on — and the people who bring them to us — deserve engineering that takes them seriously.
Philosophy
Honest and Sharp. Quick and Nimble. Fun.
We don't just write code — we understand the science, the operations, and the data behind the systems we build. When we say we work in agricultural emissions modeling, we mean we've spent a decade integrating biogeochemical simulation engines. When we say IoT infrastructure, we mean 3,200+ homes with 15,000+ meters tracked in real-time.
Kevin Brown
Founder & President / Chief Software Architect
15 years at Colorado State University's Research Software Facility, rising from engineer to director. Original architect of nationally recognized software platforms for the USDA, deployed across 10+ countries.
Leads architecture and delivery across environmental science, AI business intelligence, and smart infrastructure. Principal investigator on international research collaborations spanning three continents. Built and shipped production systems for USDA, Siemens, and university research programs worldwide.
Principal-led, domain-embedded
Kevin personally architects every engagement. The person who scopes the work is the person who builds it — no account manager layer, no handoffs. Our engineering team brings experience from defense, aerospace, enterprise cybersecurity, and media technology — with prior roles at organizations including Lockheed Martin, Raytheon, and LogRhythm.
We scale resources per-project rather than carrying overhead. This means fast decisions, direct access to senior engineers, and a 16-year track record under one consistent technical leader.
Multi-platform, production-grade.
Frontend
- React 17–19
- React Native / Expo
- Next.js 14–15
- TypeScript
- Tailwind CSS
- MapLibre GL
Backend
- NestJS
- ASP.NET Core
- FastAPI
- Supabase Edge Functions
- Express
- Flask
Data & AI
- PostgreSQL / PostGIS
- Redis
- SQLite
- Anthropic Claude API
- n8n Orchestration
- DayCent / DNDC Models
Cloud & Infra
- Google Cloud Run
- Google Cloud SQL
- Vercel
- Supabase
- Docker
- GitHub Actions
Mobile
- React Native 0.43–0.81
- Expo SDK 54
- EAS Build / Update
- Stripe SDK
- Firebase
- Sentry
Integrations
- Stripe Payments
- Auth0
- SendGrid
- CopperLabs IoT
- BIM 360
- GeoServer
Got a complex problem? Good.
We scope projects honestly and estimate for free. If we're not the right fit, we'll tell you — and probably point you in the right direction.
kbrown@axiossoft.com — Fort Collins, Colorado