Everything you’re probably wondering.
No jargon and no dodging, just straight answers on how this works, what you own, and how we get started together.
What does MindzKonnected do?
MindzKonnected builds and ships production AI systems (autonomous agents, grounded retrieval, document and data intelligence, analytics, and workflow automation) and deploys each one inside the client’s own cloud, hybrid, or on-prem environment rather than leaving it as a prototype.
Can the AI systems run fully on-premises?
Yes. Systems can run in a private cloud with open-source LLMs, on enterprise APIs such as OpenAI and Claude, in a hybrid setup, or fully on-prem. Data never has to leave your perimeter.
Do we own the models, pipelines, and data?
Yes. Models, pipelines, and data stay yours. There is no lock-in to MindzKonnected infrastructure or to a single model vendor.
Is our data used to train third-party models?
No. Deployments run inside your environment under your own policies, and your documents and data are not used to train external models.
Which LLMs and frameworks do you work with?
Multiple providers, including OpenAI, Claude, Gemini, and Groq, plus open-source models, orchestrated with LangChain and LangGraph and integrated over the Model Context Protocol. The provider is matched to each use case rather than fixed up front.
What kinds of problems do you take on?
Document- and data-heavy workflows: contract management, document verification and compliance, conversational agents with cited answers, and plain-language (text-to-SQL) analytics over structured data, among others.
How does an engagement start?
With a technical scoping call around one workflow: a contract type, a document set, a support queue, or a process to automate. We map the system, the deployment model, and the measurable outcome before you commit to anything.
How do you handle confidentiality and audits?
Engagements are NDA-bound. Every extraction, query, and agent decision is logged and exportable for pre- and post-audit review, and every workflow enforces your SOPs and regulatory rules with a human in the loop.
What measurable results have you delivered?
VerifiableContract, our own contract management platform, reduces the time and manual effort per contract by 50–70%. Client outcomes are shared directly during scoping, since that work is covered under NDA.
How is pricing structured?
Pricing is scoped to the specific workflow and deployment model, and is discussed after the initial scoping call once the system and outcome are mapped.
Still have a question?
Bring it to a free 30-minute strategy call and we’ll answer it directly, no commitment.