Introduction
Starting an AI project with Stermedia — an experienced AI consulting company and custom software development company — means entering a collaborative, transparent, and iterative process tailored to your unique business needs.
Unlike traditional development projects, AI software development requires a different approach. It is inherently probabilistic, highly dependent on data quality, and involves constant refinement based on changing input and business goals. This guide outlines what to expect when working with Stermedia on building and deploying custom AI solutions.
Differences Between AI Projects and Traditional Software Projects
Deterministic vs. Probabilistic Approach
Traditional software systems are deterministic: the same input always leads to the same output. In contrast, AI software development relies on probability theory, meaning results may vary slightly based on the model and its training data.
The Critical Role of Data
As a trusted AI consulting company, we emphasize that data quality, completeness, and availability are the key drivers of AI success. Even the best models will fail if the underlying data is flawed, inconsistent, or incomplete.
1. Data Analysis and Audit
Every successful AI project at Stermedia begins with a comprehensive data audit. Clients often have large datasets but lack a clear understanding of where the data resides, what format it’s in, or whether it’s suitable for AI. As a custom software development company, we help you:
- Identify your current data storage systems.
- Assess data quality and completeness.
- Flag potential roadblocks early in the project lifecycle.
By the end of this stage, you’ll have a clear view of what’s usable and what needs work — setting a strong foundation for building reliable AI solutions.
2. Initiating Collaboration – AI Discovery Sprint
Stermedia offers a proven method to launch projects: the AI Discovery Sprint. This one-week workshop allows us to dive deep into your data, systems, and business goals, making it an essential step in our AI software development process.
Key elements of the Sprint include:
- Signing an NDA to protect your data and ideas.
- Inventorying your data and systems, identifying gaps and opportunities.
- Business problem analysis to ensure AI solves the right challenge.
- Feasibility review — is your data good enough to train a useful model?
At the end of the sprint, you’ll receive:
- A tailored list of AI opportunities.
- A high-level roadmap with resource and data requirements.
- A clear “go/no-go” recommendation for the next stage.
This step showcases our strength as an AI consulting company focused on both business value and technical excellence.
3. Weekly Meetings and Progress Reporting
Transparency and collaboration are key to every partnership. As your AI development partner, Stermedia provides:
- Weekly project updates on milestones, risks, and completed tasks.
- Challenge resolution sessions to adjust strategy quickly.
- Next-step planning in line with your business objectives.
You always stay informed and in control.
4. AI Project Structure – Collaboration Framework
As a custom software development company, we build AI systems through a proven three-phase process:
Initial Phase
- Define success metrics (e.g., precision, accuracy, recall).
- Assemble a specialized team: data scientists, developers, analysts, project managers.
- Split data into training (80%) and testing (20%) sets for validation.
This structured approach ensures the project is measurable and goal-oriented from the outset.
Experimental Phase
- Build a prototype model and test performance early.
- Improve model accuracy iteratively in agile weekly sprints.
- Optimize using metrics aligned with business needs.
- Provide regular reports — because AI software development without transparency fails.
Deployment Phase
- Move from test to production, ensuring robustness.
- Integrate the AI model into your environment — web, mobile, desktop.
- Optimize for performance (e.g., GPU, cloud infrastructure or cloud-based environments like Google Cloud AI).
- Ensure the AI solution is usable, scalable, and secure.
This end-to-end process makes Stermedia a reliable partner not just for AI, but for AI in software engineering and system integration as well.
5. AI Monitoring and Continuous Improvement
Our job doesn’t end at deployment. As your long-term AI consulting company, we help monitor, refine, and scale:
- Continuous model monitoring to detect drifts or performance drops.
- Input data analysis to ensure changes don’t undermine accuracy.
- Retraining models when new data becomes available.
This is where our strength in custom software development and AI engineering ensures your solution stays relevant.
Conclusion
Collaborating with Stermedia means working with a team that combines the expertise of a leading AI consulting company with the flexibility of a custom software development agency. Through structured workshops, iterative development, and ongoing optimization, we deliver AI solutions tailored to dynamic business environments.
If you’re looking to hire AI engineers, develop AI software, or explore generative AI development services, Stermedia is ready to help.
Appendix: Questions You May Be Asked at the Start of Collaboration
We’ve compiled a categorized list of questions commonly asked during project onboarding. Preparing your answers in advance ensures a faster and more productive launch.
1. Data Availability & Sharing
- What data is readily available?
- How is the data stored (SQL, NoSQL, files, cloud)?
- Are there sensitive/confidential data limitations?
- How will the data be shared?
- Are there external data sources we should consider?
2. Data Quality & Processing
- Have you done any feasibility analysis?
- What is the estimated accuracy level of the data?
- Is data labeling complete or needed?
- Was the data collected using a standardized process?
3. AI Model & Performance Expectations
- What are the success metrics?
- Do you expect confidence scores with predictions?
- Should processing be real-time or batch?
- Has the data been analyzed before?
4. Technology & Infrastructure
- What platform(s) will the solution run on?
- Any preferred tech stack?
- Will you need broader software development services?
5. Collaboration & Knowledge Transfer
- How many hours weekly will domain experts be available?
- Should the tool include visualizations?
- Have you explored non-AI solutions?
Ready to Start?
If you’re ready to transform your business with AI, reach out to Stermedia — your AI consulting company and custom software development partner.
