Satellite and geospatial software
Ingest pipelines for optical and SAR imagery, tile servers, time-series analysis, mission planning and ground segment tooling. We process terabytes a day and deliver maps that load in seconds.
Space · Industry · Vertical SaaS
Digital assets, AI solutions and vertical SaaS platforms for satellite and industrial companies
IQ OVEL turns sensor, orbital and machine data into software that carries decisions. We design, build and operate products that hold up in regulated and technically demanding markets.
- engineers on staff
- 34engineers on staff
- products shipped
- 61products shipped
- to the first production system
- 12 wksto the first production system
- operational availability
- 99.95%operational availability
Three verticals, one engineering practice
We work where physics, regulation and software meet. Each vertical has its own data models, acceptance procedures and users.
Industrial systems and manufacturing
OPC-UA and MQTT integration, edge pre-processing, predictive maintenance, vision-based quality inspection and shop-floor operator guidance — including offline and air-gapped environments.
Vertical SaaS products
Multi-tenant platforms for domain-heavy niches: compliance, billing, role models, audit trails and self-service onboarding. From first customer to multilingual scale.
What we mean by a digital asset
An asset is not a project that ends. It is a part of your company that can be valued, maintained and made to earn.
01
Data products
Curated, versioned and documented datasets with an API, a licence model and quality metrics — raw data becomes a sellable good.
02
AI models in production
Training and evaluation pipelines, drift monitoring, explainability and a rollback path. Models that still perform after eighteen months.
03
Product platforms
A reusable core that several offerings grow from: shared authentication, billing, telemetry and design system.
04
Technical documentation
Architecture decisions, runbooks and handover packages so your internal team can carry on without depending on us.
How we work
Four phases, fixed deliverables, no black box. After each phase you decide whether to continue.
1 · Scoping
Two workshops, a data review and a feasibility assessment. Output: target picture, risks, effort range.
2 · Architecture
Data model, interfaces, security and operations concept, prototype of the critical component.
3 · Delivery
Two-week iterations with a running build, automated tests and an open backlog.
4 · Operations
Monitoring, on-call, continued development and a planned handover to your team.
Evidence instead of promises
Every project published here states the starting point, the technical solution and a measured result. No project without a number.
Services in detail: digital asset creation, AI solutions and satellite SaaS
Three areas that reinforce each other. Each one states the data required, what gets delivered and how success is measured.
01
Digital asset creation for technical companies
Digital asset creation does not start with an interface here; it starts with the value meant to last. We review the data already sitting in your company, the rights attached to it and the audience that would pay for an outcome. The result is an asset plan with effort, running cost and expected return.
We then build the asset as a standalone product: versioned datasets, documented interfaces, an operating model and evidence of data quality. The outcome stays valuable and can later be licensed, spun out or folded into an existing product line.
- Asset assessment: data sources, rights, market size and cost structure
- Data products with an API, licence model, quality metrics and a change log
- Reusable product cores that several offerings in a group can grow from
- Handover package: architecture decisions, runbooks and internal team training
02
AI solutions for Earth observation, manufacturing and domain data
Our AI solutions start from a domain question, not from a model trend. We begin with a feasibility measurement on your own data and answer first whether the required accuracy is reachable at all. Training pipeline, evaluation, explainability and the path into operations follow after that.
Typical applications are satellite image segmentation, machine anomaly detection, vision inspection on the line, consumption and load forecasting, and structured extraction from technical documents. Every model ships with drift monitoring, a fallback procedure and a documented acceptance threshold.
- Feasibility measurement on your data before any delivery commitment
- Training and evaluation pipelines with reproducible datasets
- Edge inference or sovereign data centres in Switzerland and the EU
- Model monitoring, retraining and audit logs for regulated environments
03
Vertical SaaS platforms: satellite, industrial, technology
In vertical SaaS the domain logic is the product. We build multi-tenant platforms for niches where standard software fails on acceptance procedures, regulation or data volume — constellation operations, maintenance, evidence and reporting platforms.
Delivery includes the role and permission model, billing, audit trail, multilingual UI, self-service onboarding and an operations concept with on-call. After twelve weeks a first user group works in production.
- Multi-tenancy, role model, billing and tamper-evident logs
- Scalable storage for time series, geospatial data and telemetry
- Multilingual interfaces for European markets from the first release
- Operations with monitoring, on-call and agreed availability targets
Frequently asked questions
Do you work with existing systems?
Yes. Most of our engagements extend an existing landscape: SAP integrations, legacy databases, PLC networks or accumulated analysis scripts. We start with an inventory and replace only what must be replaced.
Where is our data processed?
By default in Switzerland or the European Union. For defence and critical infrastructure customers we deploy fully on-premise with no outbound connections.
How fast is a first usable system?
With clear data access we normally deliver a system usable by a first user group after twelve weeks. A complete platform takes six to twelve months.
Do we own the source code?
Yes. You receive all rights to the work product, along with the repositories, infrastructure definitions and documentation.
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