Knowledge Base
Frequently asked questions.
Clear answers about how we build, how we verify accuracy, how we protect your confidential client data, and how engagements work.
General & Positioning
What does LogiqCube do in plain words?
We build and run AI systems that handle the paperwork around clients: reading messy PDF documents, generating accurate meeting minutes, and drafting personalized outreach. We measure accuracy, and a person is always in control and a person always in control.
How is LogiqCube different from generic AI tools or chatbots?
Generic tools hallucinate, offer no source citations, and lack deterministic math validation. We build disciplined engineering pipelines with evaluation test suites, arithmetic checksums, and built-in human review screens.
What do you mean by "a person is always in control"?
Our systems never silently file or email uncertain results. Low-confidence fields are automatically routed to your staff in an intuitive review interface for one-click confirmation.
Accuracy & Technical Reliability
How do you prevent hallucinations in financial documents?
We combine layout-aware OCR with typed schema extraction and deterministic arithmetic checks (verifying that balance sums and sub-totals reconcile). Any mismatch is flagged before saving.
How do you measure accuracy before production launch?
We create a benchmark dataset of your real-world messy documents with verified ground-truth values. We run automated regression suites measuring precision, recall, and edge-case accuracy on every iteration.
Can your pipelines cite sources in original documents?
Yes. Every extracted number and synthesized claim includes bounding-box coordinates linking directly back to the exact page and paragraph in the original file.
Security & Data Protection
Is our client data used to train third-party AI models?
Never. We enforce zero-data-retention agreements with enterprise model providers. Your files and transcripts are never stored by model vendors or incorporated into public training sets.
How is data isolated between different clients?
Every customer environment is isolated at the tenant level with encrypted-at-rest databases and strict access controls.
Engagement & Pricing
What is the best way to get started?
Most clients begin with our two-week AI Readiness Audit to evaluate document quality and map high-ROI opportunities, or a fixed-scope pilot on a single workflow.
Who owns the intellectual property and code you build?
You own 100% of all custom code, data schemas, and proprietary IP created during your engagement.
Have a question not answered here?
Schedule a direct conversation with an engineer to discuss your specific workflow.