The platform for AI adoption
AI in your business.
On your terms.
With measurable value.
Put AI to work in your company while keeping control of your data, your models, and your costs. YABANIN combines its own software with the engineering to make it work in your infrastructure.
Built for growing companies. Open-source foundations. Enterprise deployment.
The YABANIN approachInside your business
01Give AI a business purposeChoose a process. Define the result, the starting cost, and how success will be measured.
02Put the right tools to workConnect models through YABANIN. Run engineering workflows with Raider. Integrate the agents your work requires.
03Operate with visibilitySet access and budgets, inspect task costs, and compare outcomes before expanding.
How we deploy with your team →01Your infrastructure02Your choice of models03Accountable AI use
For leaders making AI an operating decision
Move faster. Know the cost. Keep control.
Protect the data boundary
Run the platform in your environment. Choose local inference for restricted work and approved external models where your policy permits.
Explore deployment choices →Understand the cost of a task
Attribute recorded model usage to a task, agent, or team. Add review time, infrastructure, and implementation costs to evaluate the business case.
Model your economics →Keep your model options open
Connect supported providers through a common gateway. Test alternative models against your quality requirements before changing a workflow.
See the model control layer →Give teams clear operating rules
Replace ad hoc AI access with approved routes, scoped credentials, and budgets. Match agent permissions and review checkpoints to the work.
See how access is governed →Product engineering, from deployment to daily use
Start with one process. Build from the evidence.
For companies of 50–500 people, the first deployment should have a clear owner, a useful outcome, and a practical route into everyday work.
- 01
Set the baseline
Choose the process and record its volume, human effort, quality requirements, and current cost.
- 02
Deploy and connect
Install the platform, configure access, connect your systems, and build the required agent workflows.
- 03
Validate the outcome
Compare accepted results, human review, and full operating costs with the baseline.
- 04
Make it part of work
Train your team, establish ownership, and expand the workflows that earn their place.
Explore enterprise implementation →Make the business case explicit
A lower AI bill is one part of the return.
Time recovered, output quality, and total operating cost belong in the same decision. Our scenario calculator lets you put your own assumptions to work.
The economics of one workflow
+Value of recovered capacityTask volume × time recovered × labor cost × the share you can put to economic use.
−Full cost of operating AIModel usage, platform licensing, infrastructure, and ongoing support.
=Modeled monthly benefitCompare it with setup costs to estimate payback and first-year return.
Start with your numbers.
YABANIN records AI usage and cost signals. Your business supplies the baseline, labor costs, and evidence that the result is useful. Together, they support a decision about where to invest next.
Explore the ROI calculator →A planning scenario using your inputs. Actual returns depend on adoption, quality, and realized business outcomes.
Built by the people who use it
We build the tools. We help put them to work.
A product company, close to the work
We develop YABANIN and Raider and use them in our own engineering work. Implementation connects these products to your systems, processes, and people.
Open foundations. Enterprise delivery.
Explore the core technology, then work with us on enterprise licensing, deployment, integrations, and ongoing support. Commercial scope is defined around your requirements.
How an engagement works →YABANIN — Your Agnostic Bridge Across Numerous Inference Networks.
Put the platform to work
See what AI could do in your company.
Bring a process, a bottleneck, or an existing AI initiative. We’ll show how the platform could fit your environment and what to measure first.