AI agents join the workforce in 2025.
What is AI doing in your software development today?
Our mission
Your software development to AI Native.
What you will have:
Your team augmented with AI
You are in the driver's seat to decide which parts of development will AI handle. We know DevOps and ML experts are hard to find.
Zero maintenance for you
You'll have 24/7 self-recovering cloud environments so your team never has to worry getting paged at 3 a.m. to restart a service.
No more vendor lock-ins
We won't sell you any product or platform. It is not your business - and that's why you have been made to pay for its support.
Your data, your authorization
We only do AI models which do not train on your data and identity-driven (Zero Trust) cloud environments, best suited for hybrid work.
Transformative journey
Customized to your unique needs
We automate delivery and operations so your team can focus on your product.
Includes end-to-end automations like:
- Creating cloud environments (Infra-as-Code)
- Continuous integration and delivery (CI/CD)
- Pre-release security testing (AppSec)
- Failover and disaster recovery
- Real-time application monitoring
- Progressive delivery for A/B testing
We are committed to:
- Build on PaaS and serverless cloud services to ensure zero maintenace for your teams.
- Create a self-service pipeline if a workflow must not be triggered by a code change.
- Use cloud provider's services and open source. No product costs for you.
I will help you in all Cloud and AI adoption matters, including those concerning C-suite.
Tailored for your requirements, often:
- Assessment of the current state
- Identifying transformation success metrics
- Creating roadmap for the next years
- Starting a Cloud/AI Center of Enablement
I have helped all sizes of businesses, up to multinational corporations, in public cloud (particularly Azure) for the last 10+ years.
We pinpoint where AI will give you the biggest edge and take it into use there.
In practice:
- Chat with your data in plain language
- Natural language to code and SQL
- Including context to bug reports
- Using AI agents to create tools
- Graphic design of brand assets
- Test data and test case generation
We are committed to:
- Use only large language models which never train on your data.
- Automate whole workflows (AI agents), not just individual tasks (AI assistants).
- Evaluate prompts and prompt workflows and fine-tune them to perform best.
Advance with us.
We have experienced paradigm shifts like as agile, mobile and cloud.
AI joining the workforce has a greater net impact on business than those combined.