01
You choose an issue from the backlog
A developer or product manager creates a ticket.
Unnibase
Let an AI programmer clear your backlog
Unnibase picks up an issue from GitLab, writes the code, and prepares a merge request for review.
Your developers can focus on the work that truly needs their attention.
Why Unnibase?
AI development is no longer a choice,
but a risk you need to manage.
Without clear rules and secure infrastructure, AI is not a benefit, but a risk to budget, security, and compliance.
40% of projects with AI agents will fail by 2027
The main cause is missing governance and rising uncontrolled costs. CODAG creates a stable layer over processes that keeps the project running.
Source: Gartner
45% of developers admit using unapproved AI tools
Without central governance (Shadow AI), you risk leaking intellectual property into public models. CODAG gives control back to the company.
Source: JumpCloud
85% of companies miss their AI infrastructure budget
Without visibility into token usage and model performance, costs grow uncontrollably. Unnibase centralizes access and optimizes model usage.
Source: CloudZero
How it works
Unnibase works directly with your Git workflow
02
Unnibase analyzes the project
The agent reviews the repository, architecture, and existing code.
03
Unnibase writes the implementation
It creates a commit or merge request.
04
A developer performs the review
A developer checks the code and approves the merge.
What it can solve
Tasks Unnibase can handle automatically
Unnibase is ideal for routine and repeatable tasks that unnecessarily take up senior developers' time. It helps clear the backlog and keep the project in good technical shape without manual work.
Bug fixes
- Runtime errors
- Simple bug fixes
- Test fixes
Smaller features
- API endpoints
- Form validation
- CRUD operations
Technical debt
- Refactoring
- Dependency updates
- Code simplification
Tests
- Unit test generation
- Adding missing tests
Three pillars
A unified interface for a world that keeps changing
Pillar 1: Stability
LLM models come and go, but your company processes need to remain solid. Unnibase serves as an intelligent orchestration layer. While we tune optimal performance for the latest models (GPT-4, Claude, Gemini), your workflow stays unchanged.
Pillar 2: Context
Unnibase does not wait for every line from you. Thanks to MCP (Model Context Protocol), it can see your entire repository. It does not guess, it understands context and delivers finished merge requests for your review.
Pillar 3: Security
For banks, fintech, and critical infrastructure, we offer a full on-premise solution. No data, metadata, or lines of code leave for the cloud. Unnibase runs wherever you decide. Even on an isolated server in the basement.
Security & compliance
Designed for secure development
Unnibase was designed with the needs of modern technology companies in mind. It respects security standards, works only with defined access permissions, and gives you full control over what happens with your code.
Cloud
Unnibase.security.cloud
vs
On premise
Unnibase.security.onPremise
Secure repository access
Isolated environment
No training on your code
Audit logs
Developer evolution
Developer evolution: From writing code to solution architecture.
Unnibase does not replace programmers. It changes their role from executors of routine tasks into architects and supervisors of a digital team.
Developers can finally focus on what is being built and why, instead of spending half the day figuring out how to write a loop correctly or connect an API. Unnibase gives your people room for real innovation.
Unnibase blurs the lines between specializations. Thanks to the deep context Unnibase keeps, a front-end developer can independently handle a backend ticket, for example. Your team becomes truly substitutable, and throughput is no longer blocked by the missing capacity of one specific expert.
Hiring and onboarding senior developers takes months. Unnibase is a team member that knows your code, standards, and history from the first second. You get instant support and higher production without HR, management, and lengthy onboarding costs.
Comparison
Unnibase vs. AI assistants
Unlike common AI tools that only help with writing code, Unnibase works autonomously. It does not wait for your instructions - it actively solves tickets and delivers finished solutions.
| Unnibase | AI assistants | |
| Solves tickets | yes | no |
| Generates merge requests | yes | no |
| Works autonomously | yes | no |
| Helps with writing code | yes | yes |
Pricing
Pricing
Choose a plan based on your team size and project needs. Unnibase scales from smaller teams to enterprise environments with high demands on security and performance.
€
Start
Ideal for smaller teams that want to speed up handling routine tasks.
- 1 concurrent AI agent (handles 1 task at a time)
- Unlimited repositories
- Git integrations and basic support included
Medium
Most popularFor teams that need a steady flow and do not want to wait in a queue.
- 2 concurrent AI agents (double delivery throughput)
- Unlimited repositories
- Git integrations and basic support included
Large
For scale-ups and larger engineering teams with a high volume of tickets.
- 3 concurrent AI agents (maximum throughput for parallel teams)
- Unlimited repositories
- Git integrations and priority support included
One-click extensions (Add-ons)
Need to tailor the plan to your needs? You can scale anytime.
Additional AI agent
Increase your team's parallel throughput
Preview environment
Live previews for easier reviews
Enterprise On-Premise
Price on request
tailored to your architectureFor banks, corporations, and companies subject to NIS2 / DORA. Unnibase runs in isolation within your infrastructure. Your data never leaves your network.
- Capacity: Unlimited repositories and a custom number of AI agents
- Security: Full on-premise deployment and air-gapped support
- Customization: Option to connect your own LLM models and internal guidelines
- Support: Dedicated L2 support and priority SLA
Reference results
"I enjoy designing software, not writing it. Unnibase does that for me."
Dan Charousek, Tech Lead, Unnits
Let AI handle your backlog
Unnibase helps development teams automate routine work and speed up development.
FAQ
Frequently asked question
Do you have questions about how UNNIBASE works, its security, or deployment? Here you will find answers to the most common ones.
?.!
Will our code be used to train models?
Protecting your sensitive data and information is our highest priority. We work under strict non-disclosure agreements (NDAs) and follow the highest data security standards. All information you provide is processed confidentially and used exclusively for the purposes defined by our cooperation.
Are we tied to a specific LLM or platform?
Our work is designed to minimize any disruption to your normal operations. The process runs in close cooperation with your teams and is flexibly adapted to your possibilities. Most analyses and consultations are carried out efficiently and with respect for your time capacity.
How quickly can we deploy a pilot?
Our goal is optimization and improvement, not a blind revolution. Recommendations are always realistic and implementable with regard to your company culture and existing infrastructure. We propose changes gradually and clearly, with the aim of ensuring a smooth transition and maximum benefit.
What about security and regulatory requirements (NIS2, DORA)?
Investment in strategic consulting pays off in the long term. We help identify and eliminate hidden costs, streamline operations, reduce risks, and open new business opportunities. Before cooperation begins, we clearly define expected benefits and help set metrics for evaluating them.