Our approach
AI technology calls for a different approach from classical application development: the uncertainties are different, results are not guaranteed up front, and obstacles are numerous. It takes rigorous risk management, the ability to adapt, and sharp expertise. Companies that make their AI investment pay off choose an experienced service provider to deliver their project successfully.
Since 2018, Hectiq has helped companies and organizations put artificial intelligence and machine learning to work. Our focus has always been to deliver a functional solution that fits your business need as early as possible. Over the years we have built a method to reduce innovation risk and make it more predictable. Our approach is organized in five main steps.
Exploratory meetings
AI solutions must address a real challenge or business opportunity. We start with a few workshops to surface opportunities and quickly pinpoint the most promising ones. The result is a list of ideas to explore further.
Stage output
Constellation of ideas
Key roles
Ideation advisor & AI expert
De-risking
We're known for quickly ruling out ideas that aren't viable and estimating the value of those that are. Our technical team reviews each idea and judges whether it has legs. We run preliminary tests with available data. This step is essential to avoid wasting time and money.
Stage output
Experiment plan, literature review, timeline, proof-of-concept planning
Key roles
AI expert
Proof of concept
At this stage we've identified the most promising idea. If risk remains, we proceed with more rigorous tests to validate the idea, and that's the proof of concept. The client can decide whether the risks are acceptable to continue.
Stage output
Proposed solution, schedule, costs, remaining risks
Key roles
AI expert / data scientist / software architect
Development
We begin building the solution. Risks are minimized and direction is clear for everyone. Regular check-ins happen between the client and the technical team. Development runs like a typical software project, with clear milestones and steady deliverables. Transparency is at the heart of our approach.
Stage output
Developed solution, AI validation plan, performance review
Key roles
Software architect / full-stack developer / AI expert
Deployment
We perform in-depth quality assurance on the solution. By now it's deployed to test environments and used internally by the client. We support integration and use of the solution and document the processes.
Stage output
Deployed solution, AI validation report, support plan
Key roles
AI expert / software architect
AI agents
Automate repetitive tasks and manual processes.
- User-facing agent in your app
- Document search
- Voice control
- Content generation
Advanced AI
Train and deploy models aligned with your needs.
- Forecasting and interpretation
- Image classification
- Object recognition
- Anomaly detection
Data
Analyze and store raw data using classic approaches.
- Statistical forecasting
- Key driver analysis
- Physical modeling
- A/B testing
Software
Build complete, secure applications with AI properly integrated.
- Cloud-native architecture
- High-performance APIs
- Real-time processing
- Web application