Vedashwa Cortex
The AI layer that powers our products — and can power yours
Ask in plain English and get an answer you can cite. Cortex reads your documents and your databases, points to the exact source behind every answer, and enforces who is allowed to see what — in the database, not the prompt.
One layer, powering everything
Pramana is built on Cortex. Care and QMS are powered by it. And you can point Cortex at your own existing systems too.
Ask your data anything — and trust the answer
One question box over your documents and your databases. Plain-English questions, answers you can cite — scoped to what each person is allowed to see.
For device & pharma manufacturers
Across your quality system
Your SOPs, CAPAs, audits and quality records — documents and data, one place.
“What does our CAPA escalation SOP require for effectiveness checks?”
from documents“How many open CAPAs relate to sterility this quarter?”
from data“Which SOP has the most revisions?”
from documents“Show design verifications still missing for this device.”
from data
For healthcare providers
Across your patient operations
Your clinical documents, intake forms and patient data — documents and data, one place.
“Summarize this patient’s intake and consent forms.”
from documents“How many appointments were no-shows last month?”
from data“What does our referral policy say for cardiology?”
from documents“Which patients are due for follow-up per our protocol?”
from data
Reads your documents (PDF, Word, and more) and your databases — every answer links back to its source.
See Vedashwa Cortex in action
Ask a question in plain language — get an answer, a chart, and full provenance
Why not just use ChatGPT?
Because healthcare answers have to be trusted
A general chatbot can’t cite your records, can’t enforce who sees what, and trains on what you feed it. Cortex is built the opposite way.
Provenance on every answer
The source passage, the query it ran, and the rows it scanned — an answer you can’t trace is an answer you can’t use.
Access-scoped in the database
Who can see what is enforced in Postgres views, deny-by-default — not asked of the prompt. Absent context returns zero rows, never all rows.
A governed metric layer
Your KPIs are hand-written, version-controlled SQL — not a model’s guess. Defined once, consistent everywhere.
Read-only SQL guardrails
Model-written SQL is confined to a read-only, single-statement transaction over approved views, with hard row caps — and a deterministic fallback if it fails.
Never trained on your data
Your documents and records are used to answer your questions — never to train a model, ours or anyone else’s.
Humans stay in the loop
Cortex proposes; a person disposes. Drafts become records only when someone approves them.
The same question. Three people. Three correct answers.
“How many open CAPAs do we have?” — answered per who’s asking.
Head-office admin
Whole organization
Westside manager
One branch
Department head
One department
Enforced in the database, not the prompt — a branch user cannot see another branch’s numbers, even if they ask.
Under the Hood — For Your Technical Team
Your IT team will care about these; you don’t have to. Multiple integration surfaces to fit your architecture — all live today.
REST API
LiveComprehensive API for all platform capabilities with OpenAPI documentation
MCP Server
LiveModel Context Protocol for AI agent integration and tool use
Widget SDK
LiveEmbeddable components for dropping Cortex into any app
Vedashwa Studio
LiveWeb-based admin console for configuration and management
Already have a QMS? Cortex reads it.
You don’t have to switch systems. Point Cortex at your existing QMS — Vedashwa’s or a third party’s — and turn your quality records into a queryable intelligence layer, with answers backed by your actual data.
Ask
“How many open CAPAs relate to sterility this quarter?”
Answer
18 open CAPAs relate to sterility this quarter.
See Cortex on your data
Book a demo, or explore the products it already powers.