CloudGo
JLINC
A joint offering from CloudGo and JLINC to explore AI with your enterprise knowledge, inspect the context behind its answers, and establish verifiable terms for how that knowledge is used.
Sources · relationships · decisions
Agreements · authority · evidence
Move forward with
questions you can answer.
CloudGo makes your organizational knowledge useful to people and AI. JLINC adds agreements and cryptographic evidence to the interactions that use it.
CloudGoTHE CONTEXT LAYERConnect documentation, internal methods, and recorded decisions. Give your experts a way to inspect the context behind recommendations and refine the inputs that guide future work.
Verifiable Contractual Agreements define the terms of an interaction. Cryptographic records provide evidence of exchanges under those terms, giving reviewers a basis for checking what occurred.
Where a model runs is one part of control. The Lab also addresses which knowledge it uses, the terms of access, and the evidence your team needs to review.
Choose one bounded use case where relevant knowledge and accountable data use both matter. These are starting points to scope together.
Ground a workflow in internal policies and operating knowledge. Review where its answers come from and the terms governing access.
Explore how client context and firm expertise can inform an assessment or plan, with defined boundaries for using and sharing that information.
Inspect selected exchanges, their governing agreements, and the evidence retained. Surface gaps before a broader rollout.
Define the business question first. Then scope the environment and evidence needed to answer it.
Identify a workflow, its owner, and a baseline for quality, review time, or delivery effort.
Agree the sources, roles, permitted uses, integration boundaries, and evidence requirements.
Evaluate the workflow. Review source context and recorded exchanges, then refine what needs attention.
Compare results with the baseline and document the requirements for any production expansion.
Each Lab is scoped jointly. Integrations, deployment options, deliverables, and commercial terms are agreed for your evaluation.
Use the Lab to open a practical conversation about enterprise AI. Pair your customer knowledge and delivery expertise with CloudGo’s context layer and JLINC’s trust infrastructure, then scope a use case together.
Discuss a joint customer opportunityA model needs your business context to produce work that fits your organization. CloudGo connects that context and its sources. JLINC adds terms and evidence around its use. The Lab brings those capabilities into one scoped evaluation.
We start with your existing environment and the workflow you want to improve. Model choices, interfaces, and integrations are reviewed during scoping so the evaluation fits your requirements.
That is part of the Lab design. We agree your hosting, residency, access, and data-handling requirements before the evaluation, and confirm the options available for that scope.
The Lab helps your team examine context, agreements, and interaction evidence. Compliance conclusions and the accuracy of underlying information still require your organization’s review.
Bring one use case and the questions your team needs answered. We’ll shape a Sovereign AI Lab evaluation around them.
Discuss a Lab evaluationOr email staff@cloudgo.ai