Services
Ecovision Analytics designs and builds technical systems for data-heavy organizations: infrastructure first, analytics and automation on top, and custom software where off-the-shelf tools stop. Spatial and scientific workloads sit inside that stack—not as a separate brochure line.
We help teams move from fragmented tools and manual processes to systems they can operate, extend, and trust—whether the work is in the field, the lab, or the back office.
Why organizations hire us
The technical depth is real—but the goal is always operational relief: less friction, clearer systems, and outcomes leadership can see.
- Reduce operational bottlenecks across reporting and data handoffs
- Modernize legacy workflows without losing domain knowledge
- Unify fragmented systems into one dependable stack
- Scale technical operations as data volume and complexity grow
- Eliminate manual reporting debt with automation that holds up
- Operationalize research pipelines from collection to decisions
- Bridge field collection and office systems with shared data contracts
What we build
Four practice areas—each with production-grade engineering detail, including machine learning and deep learning where models belong in the stack.
Data infrastructure
Foundations that keep analytics honest—so teams can modernize legacy workflows, trust their numbers, and grow without rebuilding from scratch.
- Cloud databases
- PostGIS
- ETL systems
- Data warehousing
- Pipeline architecture
- Structured training and inference data pipelines for reliable ML workflows
Analytics & automation
From scheduled reporting to ML in production—workflows that remove manual toil, surface signal early, and scale decisions across the organization.
- Reporting automation
- Predictive analytics
- ML workflows
- Operational dashboards
- Data QA/QC systems
- Deep learning training pipelines, hyperparameter workflows, and reproducible experiment setups
- Inference deployment patterns (batch, online, edge-aware) with latency and cost controls
Custom software development
Internal tools, customer-facing platforms, and APIs that match how your teams actually operate—and replace brittle workarounds.
- Internal operational tools
- SaaS platforms
- APIs
- Workflow systems
- Field data systems
- AI-integrated operational services, prediction APIs, rollout tooling, and human-in-the-loop review systems
Spatial & scientific systems
When the domain is spatial or observational, we integrate raster, vector, and model pipelines as first-class infrastructure—not bolt-on maps.
- Remote sensing pipelines
- Cloud-scale raster and imagery processing
- Environmental analytics
- Geospatial APIs
- Spatial ML
- Deep learning for classification, segmentation, detection, and time-series modeling on spatial and environmental data
Technology & infrastructure
Platforms we use to run client systems and our own operations—chosen for reliability, security, and maintainability.
Ecovision Analytics uses Cloudflare for DNS and network protection.
Infrastructure powered by Google Cloud and Vercel.
Communications powered by Resend and Twilio.
Machine learning and AI workflows accelerated through local high-performance compute and Gemini Enterprise Agent Platform.
Let’s discuss your data, software, or infrastructure challenges.
Tell us what is slow, fragile, or manual today—we will help you translate that into a scoped, engineering-led plan.