AI for the industries that can’t get it wrong.

Document AI, HIPAA-aligned IT, and custom clinical apps for healthcare practices, data forensics firms, and operational teams.

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Healthcare · Data forensics · Workflow automation

375×

Throughput gain on a 30K-doc breach analysis pipeline

<90 days

From kickoff to every employee and device under managed identity

20 → 3 min

Sign-out handoff time after the clinical app shipped

What we build

AI built for places where accuracy isn’t optional.

Document & Vision AI

PDF parsing, OCR, computer vision, and LLM extraction pipelines that turn unstructured documents into structured intelligence — checks, contracts, claims, forms.

Healthcare IT modernization

Microsoft 365, Entra ID, Intune-managed devices, and F1 licensing for field clinicians. Migration and identity hardening, typically 30–90 days.

Custom clinical applications

HIPAA-compliant apps with ambient transcription, AI-generated sign-out sheets, and structured note capture — built for the way clinicians actually work.

Workflow automation

AI-assisted automation for the back-office work that drains your team. Field reports for oil & gas operators, invoice processing, inspection workflows.

Selected work

Built and shipped, in the real world.

Clients under NDA. We’ll walk you through architecture, code, and outcomes on a call.

Case 01 · Data forensics · Cybersecurity

Document & vision AI for a post-breach response firm

After enterprise breaches, our client needed to identify exactly which individuals were affected — across tens of thousands of leaked tax forms, financial records, and scanned documents in inconsistent layouts. We built the document analysis pipeline (PDF parsing, OpenCV recognition, LLM entity extraction), then re-architected it for parallelism on ARM64 Graviton hardware. A 30,000-document run that used to take hours now finishes in under three minutes.

375×

Throughput gain on the 30K-doc breach analysis pipeline

Case 02 · Multi-site healthcare

IT modernization for a clinic group's HIPAA roadmap

A growing healthcare group was running on personal Gmail, paper timesheets, and on-prem file shares — none of which supported HIPAA-aligned access controls or field-based clinicians. We migrated the org to Microsoft 365 with Entra ID, conditional access, Intune-managed devices, F1 licenses for field staff, and integrated time-and-attendance hardware tied to payroll.

<90 days

From kickoff to every employee and device under managed identity

Case 03 · Independent medical practice

AI-powered clinical app for a solo physician

The provider's EHR had no AI features — visit notes ate evenings and shift handoffs were handwritten, error-prone, and slow. We built a HIPAA-compliant app with ambient visit transcription, AI-generated structured notes, and automated patient sign-out summaries for shift handoffs. In production today.

20 → 3 min

Sign-out handoffs that used to take 20 minutes

How we work

From first call to in production, usually inside a quarter.

Step 01

Discovery call

30 minutes. We dig into the workflow, the constraints, the regulatory shape of the problem. By the end of the call you'll know whether we're a fit and what a proof-of-concept could look like.

Step 02

Build & validate

Working prototype in two to six weeks, validated against your real data — not a slide deck. We iterate in the open with weekly demos, never with PowerPoint.

Step 03

Ship & support

We deploy into your environment, train your team, and stay available for iteration. Most engagements continue as ongoing partnerships once the first system is live.

Who we are

A small, senior team — no agency markup.

Multiverbal is led by Rohit Sam, an engineer who’s spent the last decade shipping software for healthcare practices, cybersecurity firms, and operational industries.

We’re deliberately small. You work directly with the people who build the system — not a sales lead, not a project manager translating between you and an offshore team.

We say no to projects that don’t fit. The work we take on tends to share a shape: real operational pain, a workflow that humans currently grind through, and an environment where being wrong has consequences.

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What are you trying to solve?

Tell us a bit about what you’re trying to do. We’ll reply within one business day with whether we can help — and what would happen next if we can.