Sheeraz Ali
Founder of CoreVecta, building OfflineExpert / OEP, a governed knowledge pack platform for private, auditable AI in document-heavy organizations.
The pattern behind CoreVecta
For more than twenty years I've built cloud infrastructure, search systems, and AI architectures at scale, with AWS, Terraform, OpenSearch, and custom OCR pipelines, for organizations that live in documents: law firms, financial institutions, government agencies, archives. Across all of them, the same pattern: vast repositories nobody could reliably search, understand, or audit once AI touched them.
Most AI conversations start at the model layer: "which LLM is best?" But in document-heavy organizations, trust breaks earlier. OCR misreads a contract clause. Chunking loses the page context. Search returns the right document and the wrong page. RAG cites a passage with no traceable source. By the time the model runs, the foundation has already shifted.
And the people responsible (executives, legal teams, records officers) didn't want to send sensitive documents to public cloud AI at all. They wanted control: offline capability, audit trails, version control, compliance visibility. Every solution on offer assumed the opposite.
What CoreVecta builds instead
- OCR quality as a business layer, not a tech detail.
- Search that preserves structure: pages, sections, tables, not keyword chunks.
- AI that cites its sources: evidence-aware workflows, not just answers.
- Governance by design: versioning, audit trails, review gates built in.
- Private and auditable, never forced to public cloud.
OfflineExpert is the expression of that: expert packs: controlled, versioned, citeable, reusable, instead of one-off chatbots. The platform story is here.
The same foundation - signed, versioned packs running on the device, honest about what they can and can't answer - also powers a growing line of CoreVecta apps, from accessibility and document capture to ConvertVecta, a fully offline conversion atlas, and CalcVecta, a studio of calculators that runs entirely on the device - each labelling its results and refusing to fabricate one it can't justify. See the apps.