Enterprise / From adoption to operation
Work directly with the team building YABANIN and Raider. We deploy the products, connect your systems, build agent workflows, and help your people put them to use.
Designed around your requirements
A process, an expected outcome, and the people who will use it.
Approved data, infrastructure, model destinations, and access.
Quality, human effort, total cost, and a decision about the next rollout.
Keep control where it matters
Deploy in your own environment and connect local models. Include storage, tools, logs, backups, and network access in the deployment design.
Review the local deployment checklist →Operate the gateway in your infrastructure and enable approved cloud destinations for eligible workloads. Define routing and fallback rules around data requirements.
Review deployment options →Inference happens at the model endpoint. Self-hosting the gateway gives you control of the gateway; an external model still processes the requests sent to it.
Products plus implementation
Identify an initial use case, document its baseline, and agree how cost, quality, and adoption will be measured.
Install the platform, connect supported models and systems, and configure identity, access, routing, and budgets.
Adapt Raider for engineering tasks or build the agent integrations your process needs. Define checks and human decision points.
Prepare the people who use and operate the deployment, establish ownership, and agree support and improvement priorities.
Enterprise licensing and implementation. Commercial scope, pricing, and support commitments follow a discussion of your requirements.
Discuss your environment →Questions before a deployment
Configure approved model routes, scoped credentials, agent grants, and budgets. Align network access and client settings so the intended traffic uses the gateway. Agree which actions require human review.
YABANIN supports multiple provider integrations and local endpoints. You can evaluate alternative models through the same gateway. API compatibility and output quality still need to be checked for each workload.
Start with a baseline. Combine recorded AI usage costs with licensing, infrastructure, implementation, human review, and accepted outcomes. Review whether recovered capacity produces a financial benefit. Explore the calculation.
Start with the required component and a scoped workflow. YABANIN can connect supported existing agents; Raider can also use supported model providers directly. Additional workflows and integrations can be scoped as the deployment grows.
YABANIN has a documented gateway and analytics implementation; core source access is currently by request. Raider is a public developer preview. Enterprise deployments are scoped directly with our team, including the validation and support your environment requires.
Put the platform to work
A useful first conversation covers the work, the data boundary, and the outcome you want. We’ll connect those requirements to a product demonstration.