Pre-release research

This is pre-release research. Product access is not yet generally available.

A medical career operating system for doctors

Your medical career is too important to live across scattered PDFs.

ScalpelOps helps doctors build one evidence-backed career record, understand opportunities and prepare honest, job-specific applications without starting again every time.

Research signup availableNo documents requestedPrivate-alpha research

The pathology

The application problem begins before the form.

A doctor’s professional truth fragments slowly: one revised CV, one missing certificate and one forgotten deadline at a time.

01

Scattered evidence

Qualifications, letters and certificates live across drives, inboxes and old devices.

02

Contradictory CVs

A corrected date in one version survives incorrectly in three others.

03

Forgotten details

Rotations, teaching and registration dates are reconstructed under deadline pressure.

04

Repeated forms

The same professional history is retyped into unfamiliar portals again and again.

05

Lost history

Reviewed artefacts, submission evidence and outcomes drift out of one honest timeline.

The product promise

Tell ScalpelOps once.
Verify it once.
Reuse it safely.

The foundation is not generated prose. It is durable, user-approved career memory connected to evidence, source-grounded opportunity decisions and an immutable application history.

Every useful workflow should strengthen that shared record rather than create another isolated document.

One connected journey

From approved record to honest outcome.

Each step pins the exact information it relied on. Later corrections improve future work without rewriting history.

01

Build the Passport

Bring selected, patient-free career evidence into one versioned record. Review every candidate fact before it becomes approved.

02

Assess the opportunity

Capture the exact source, review its requirements, and see Go, Possible, No-go or Unknown with blockers and gaps.

03

Prepare and track

Create supported application material, review the exact artefacts, then record what was submitted and what happened.

Ratified founding MVP scope · in development

A dependable core, not a collection of AI tricks.

These are the capabilities defined for the founding MVP. They are not all generally available today, and alpha access will be gated.

01

Professional Passport

One versioned, user-approved career record instead of multiple contradictory CVs.

02

Document Vault

Organised, reusable, patient-free career evidence with dates, versions and evidence links.

03

Assisted extraction and review

Candidate facts from selected documents must be confirmed, corrected, rejected or deferred by the doctor.

04

Opportunity capture

Import a vacancy from URL, text, PDF, image or manual entry while preserving its exact source.

05

Requirement review

Turn long advertisements and instructions into a source-linked, checkable list.

06

Four-way assessment

Go, Possible, No-go or Unknown, with blockers, evidence gaps and uncertainty, never a success probability.

07

Evidence repair

Convert missing, stale or contradictory evidence into concrete next actions.

08

Application preparation

Draft job-specific CVs, letters and checklists using accepted facts and supported claims.

09

Exact review and history

Preserve reviewed artefacts and an honest chronological application record through outcome.

10

User control

Keep provenance, correction, export, deletion and deliberate human approval visible.

AI with human authority

AI can assist with the work. It does not become the authority.

AI output begins as a candidate. The doctor’s approved record, supporting evidence, deterministic rules and deliberate decisions remain authoritative.

AI may assist

Interpret, organise and draft

  • Propose structured career facts from documents the doctor selects.
  • Classify material and highlight missing or conflicting information.
  • Propose source-linked vacancy requirements for review.
  • Summarise long opportunity material without filling in silence.
  • Draft supported CV passages, letters and selection-criteria responses.
  • Offer bounded explanations and next-action suggestions.
What remains yours

Truth, judgement and action

  • The doctor approves, corrects, rejects or defers every career fact.
  • Supporting evidence and exact published sources remain inspectable.
  • Deterministic rules own deadlines, permissions, states and consequential classifications.
  • Legal, visa, health, probity and professional declarations remain the doctor’s decision.
  • No application is sent or submitted autonomously.
  • Missing source information remains Unknown or Not stated.

Product preview

A calm workspace built around evidence and review.

This synthetic concept material comes from the front-end POC. It demonstrates intended interaction and visual language. It is not live production capability.

Synthetic product previewUI/UX POC · no real applicant, vacancy, employer endorsement or submission

Approved career record

John Smith · fictional ENT profile

PP-DEMO-03
QualificationMBBS · syntheticEvidence linked
EmploymentRegistrar rotation · syntheticNeeds review
RegistrationDemo identifierUser approved
ResearchSource not suppliedUnknown

Candidate facts enter this record only after approve, correct, defer or reject.

Coming next · accurately labelled

Useful layers, kept inside the same source of truth.

Neither preview is a separate autonomous agent. Both remain bounded by the Professional Passport, evidence and deliberate user decisions.

Planned · future preview01

Your Personal AI Application Scout

A planned AI layer to help you understand reviewed opportunities, prepare applications deliberately and track next steps.

  • Explain reviewed opportunities and evidence gaps
  • Show next actions and deadlines already in the record
  • Track acknowledgements, interviews and outcomes
  • Offer bounded in-app reminders
Not live today: continuous internet search, daily feeds, inbox monitoring, broad scraping, external alerts or behavioural learning.
Controlled Chrome POC02

ScalpelOps Application Copilot

A synthetic proof exploring evidence-backed assistance beside a recruitment form. It is not universal autofill.

  • Scans the fictional form only after an explicit action
  • Separates ready, confirmation, missing, conflict and manual fields
  • Shows the synthetic approved fact and evidence reference
  • Fills only ready demo fields after a user command
Not for real applications: no real portal support, declarations, uploads, CAPTCHA handling, live AI generation or submission.

Trust is product behaviour

What ScalpelOps refuses to blur.

The safest answer is sometimes incomplete. Visible uncertainty is more useful than confident invention.

01

Provenance before persuasion

Material conclusions and releasable claims must trace back to reviewed sources, approved facts and evidence.

02

Patient data prohibited

ScalpelOps is not a patient record system. Patient-identifiable clinical data must not be uploaded or entered.

03

Human review is the workflow

Review is not a footer disclaimer. It is the step that turns a candidate into an approved record.

04

No autonomous submission

Preparation, declaration, upload and final submission remain separate, deliberate actions.

05

Honest uncertainty

Unknown stays Unknown. Possible is not a forecast of registration, interview, visa or employment.

06

Portable user control

The intended product preserves correction, export and deletion rather than trapping the doctor’s career record.

ScalpelOps is an administrative career assistant. It is not a regulator, credential certifier, immigration, legal, tax or clinical adviser, recruitment agency, or guarantee of an outcome.
Dr. Gaurav Chamania, founder of ScalpelOps
Doctor-founded

Founder story

Built from the administrative fragility doctors are expected to absorb.

Dr. Gaurav Chamania founded ScalpelOps after seeing how easily doctors’ professional histories can fragment across revised CVs, difficult-to-organise records and missed dates.

The problem was not a lack of ambition or another writing tool. It was the absence of one dependable, evidence-backed professional record that could travel safely through each application.

“A doctor should not have to reconstruct their professional truth every time an opportunity appears.”

The founding cohort will begin with doctors in India, focused on building a dependable professional record before broader pathways are considered.

Questions before you join

Plain answers, including what is not ready.

Is ScalpelOps available now?

Not generally. ScalpelOps is in pre-release development and this page is testing demand for a private founding alpha. Joining does not guarantee selection or a launch date.

Who is it for?

The founding cohort is for individual doctors in India who want one dependable, evidence-backed professional record for applications and career opportunities.

Does it support every country or pathway?

No. The founding cohort is focused on India. Verified or assisted support requires a maintained country-and-role pathway, so additional regions will be added only when they can be supported responsibly.

Does AI verify my qualification or eligibility?

No. AI may propose facts, organise sources and draft supported material. It does not certify credentials, make regulator decisions or convert missing information into certainty.

What data does this waitlist collect?

Only the contact, pathway, research-response and consent information shown in the signup form. It does not accept CVs, certificates, passports, logbooks or professional evidence.

Can I submit patient information?

No. Do not enter patient details anywhere in the form. Patient-identifiable clinical information is outside the ScalpelOps product boundary.

Is the Application Copilot extension live?

No. It is a controlled Chrome POC using synthetic data. It does not support real portals, declarations, uploads, CAPTCHA or submission.

Does the Personal AI Application Scout search the internet for me today?

No. The Personal AI Application Scout is a planned user-facing layer for reviewed opportunities, deliberate application preparation and tracking. Scheduled discovery, feeds, inbox monitoring and external alerts remain controlled post-MVP experiments.

What should I expect from a private alpha?

A small, consented test with incomplete pre-release software, close founder contact, manual support and honest limitations. Selection, timing, data-upload permission and participation terms require separate confirmation.

Join Founding Alpha Group