Small team, senior engineers
We don't sell headcount. Every project is staffed by engineers who own the work end to end and have built products of their own.
Beta Space Studio builds your product and internal systems like an extension of your own team: application development, agentic systems, GDPR-compliant AI, data engineering. The process we use to build our own products is the one we run for you.

Our approach
Four principles shape how we work.
We don't sell headcount. Every project is staffed by engineers who own the work end to end and have built products of their own.
We use every tool available, and where the tools fall short we build our own. That is where our speed comes from.
Progress shows up in the product, not in meetings. Every sprint closes with a working delivery.
We don't impose a new platform; we adapt to your existing infrastructure, tools and team.
The real question isn't "why outsource" but "how else do we move this fast". We built this service on three observations.
Finding the right engineer takes months; undoing the consequences of a wrong hire takes even longer. We're in the work from the first sprint.
Model capabilities change on monthly cycles; roadmaps that wait go stale. A small, fast team delivers before a crowded one does.
Changing entrenched habits is harder than starting from scratch. We bring that practice ready-made, and your team learns it by working with us throughout the project.
Scope
As an extension of your team, we build whatever you need.
End-to-end full-stack application development, from backend APIs to interface design.
AI agents that run your business processes and use tools; solutions designed around your work.
MCP servers and custom connectors that plug your enterprise systems into AI.
Models that run without your data leaving the company; anonymization and company-specific training included.
Data cleaning, preprocessing, warehouse migration and analysis pipelines.
Language transitions, version upgrades and strategic code restructuring.
The same rule applies to needs that don't fit the list: we work inside your existing systems, like a part of your team.
Process
We adapt to your workflow for frictionless collaboration.
A two-week AI Discovery Sprint pins down the highest-impact starting point with concrete findings; your investment decision rests on observation, not guesswork.
In two-week cycles you set the priorities; every sprint closes with a working delivery.
A shared Slack channel and regular status calls; if you prefer, we join your own sprint board, Jira or Linear.
From design to delivery, the responsibility is ours. We carry the process until the system is live and your team takes over.
The lowest-risk way to start
A two-week AI Discovery Sprint shows you concretely where you'd create the highest impact, before you commit to a full project. You finish the sprint with a working output that validates the approach and a clear roadmap; whether to continue is up to you.
Proof
The process we recommend to you is the one we build our own products with.

The same team, tools and sprint discipline build both our clients' solutions and our own products. That's why we know the cost and the timeline behind every promise we make.
AI-powered case-law and legislation research for Turkish lawyers; a live subscription product.
An open benchmark measuring large language models on Turkish law.
A multi-agent financial analysis system for Borsa Istanbul (the Turkish stock exchange).
In a first call we scope the work and set the goal of the first sprint together. If what you need is training rather than engineering, we say so openly; either way, we prepare a plan and a proposal tailored to you.