From a working prototype to software you can release
We design and build software for complex products: AI-driven platforms, web and mobile applications and the data pipelines behind them. Our teams work agile or waterfall, whichever your product lifecycle requires, and hand over code that is tested and documented.
What we build
Most projects combine more than one of these. A diagnostic feature, for example, usually needs a data pipeline, a model and an application around it.
AI and machine learning
- AI agents and AI-optimised workflows, on-premise or in the cloud
- LLM applications, chatbots and retrieval-augmented generation
- Computer vision and OCR models (YOLO, RT-DETR, Tesseract)
- Model tracking and deployment with MLflow
Data engineering and analytics
- Data pipelines and warehousing with Snowflake, Databricks, Airflow and dbt
- Analytics and reporting in Power BI and Microsoft Fabric
- Data science for product and operational questions
Product engineering
- Web applications and backend services (Java, .NET, Node.js, Python)
- Native and cross-platform mobile apps
- Rapid prototyping of new digital products
- Long-term maintenance and technical evolution
How we approach it
- 01
Data first
We start with the data: where it comes from, how reliable it is and who owns it. Models and features are only as good as the pipelines feeding them.
- 02
Models fitted to the use case
From classical machine learning to LLM-based applications, we choose the approach that fits your infrastructure, latency and accuracy requirements.
- 03
Governance from the start
Security, data protection and regulatory requirements go into the design, not into a review at the end. For AI in medical products this includes validation and traceability.
- 04
Cloud or on-premise
Our systems run on AWS, Azure, GCP or your own infrastructure, designed for the availability and load you expect.
- 05
Fits what you already have
New software has to work with your existing systems, workflows and data sources. We plan the integration before we write the first feature.
What changes when it works
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Decisions backed by data
Reliable pipelines and analytics give product and operations teams numbers they can trust.
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Less manual work
AI agents and automated workflows take over repetitive tasks.
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Faster first versions
Rapid prototypes let you test an idea with users before committing a roadmap to it.
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Capacity without headcount
Add an experienced team for as long as the product needs it.
Bingli, an AI-powered medical chatbot, has used Heaven Solutions software development services for some of its backend solutions. The quality of the services, including the source code, was excellent. Their team was very responsive and delivered in the promised timeframe.
Teams we have built and tested software with
Tell us what you are building.
A 30-minute call with Cristian or Oana. We ask about your product, timeline and regulatory situation, and talk through how we could help.
Cristian Micliuc, CEO and founder
Oana Teslariu, Customer success, MedTech