Local-first desktop app · macOS · Windows & Linux alpha

Turn messy context into traceable decisions.

Korvo is a private research workspace that runs on your machine. Drop in decks, PDFs, notes and transcripts — it organises the context, plans the analysis, cites material claims, and keeps a record of how you decided.

No account needed — the download starts right away.

🔒 Your workspace stays on your machine · Explorer free · Pro $19/mo or $149/yr

Trace every decisionTwo models, then a critique passData stays local

iPhone & iPad — request TestFlight access

Explorer

Free

Local workspace, core analysis

  • 3 active projects
  • 20 files or research papers per project
  • 50 notes · 3 tables
  • Indexing and grounded chat
  • Plan generation
  • 3 saved outputs
  • Export your work (Markdown, JSON)
  • All AI providers (BYOK)
Download free

Pro

$19/month

or $149/year — save $79 a year. Renews at the same rate while the subscription stays active; planned public price $299/year or $29/month.

Everything in Explorer, plus

  • Unlimited projects, files, notes, and tables
  • Two-model critique pass (beta)
  • Unlimited saved outputs
  • Obsidian vault-structured, batch and templated export
  • Full decision history with source links
  • All AI providers with your own keys (BYOK)
  • Priority support
Get Pro →

Korvo does not resell model tokens. Cloud-provider API usage is billed separately by the provider you choose.

One project, end to end

From 12 scattered files to an investment decision.

Capture → Plan → Verify → Challenge → Decide
Scroll to follow the project →

Capture01 / 05

Bring the whole deal into one project

12 files: pitch deck, financial model, founder notes, market research, and two call transcripts.

korvo · Series B Diligence · Context

Project library

12 sources · indexed
pitch-deck.pdf2.4 MB
financials.xlsx880 KB
founder-notes.md41 KB
call-01.txt128 KB
call-02.txt96 KB
+ 7 morelocal
Plan02 / 05

Review the analysis before it runs

Korvo detects the goal, makes assumptions visible, flags missing context, and proposes the work.

korvo · Series B Diligence · Plan

Detected goal

Evaluate Series B opportunity — unit economics, retention, comps

01Analyze unit economicspending
02Test retention assumptionspending
03Compare portfolio benchmarkspending

Missing: cohort churn · cap table

Approve plan
Verify03 / 05

Trace an answer to the source line

Every material claim links back to the evidence selected from the project.

korvo · Citation inspector

Burn multiple is 2.4× on trailing twelve months.

grounded

“Net burn: $1.2m · Net new ARR: $500k · TTM”

financials.xlsx·FY26 model · Sheet “Unit econ” · R14:C6

Open source in workspace → jump to selected span

Challenge04 / 05

See where two models diverge

One model builds the case. A second critiques it. The revision and unresolved questions stay visible.

korvo · Two-model critique · beta
Thesis

Model A

Efficient growth and 2.4× burn support the round at the ask.

Critique

Model B

Retention evidence is cohort-incomplete; concentration risk underweighted.

Revision

Merged

Conditional proceed — pending churn diligence and top-10 customer check.

Decide05 / 05

Preserve what you decided and why

The conclusion, evidence, caveats, model details, and timestamp remain together for later review.

korvo · Decision history · audit trail
Proceed to partner review
30 Jul 2026 · 14:22

Reason: strong unit economics, subject to validating gross retention and customer concentration.

Models · A + B critique
Sources · 6 cited
Open Qs · 2
Export · MD / JSON

Coming next

Your private AI team — even when your computer is off.

Korvo agents work across the tools you approve and deliver results to your private workspace.

Join early access →

Starting with Google Calendar, Drive, and Korvo Workspace.

Private Chief of Staff

Start every day with a briefing prepared from your calendar, approved Drive folders, and relevant Korvo projects.

Coming first

Every weekday at 8:00 AM

  1. Reviews today’s Google Calendar
  2. Reads only the Drive folders you approved
  3. Connects them with relevant Korvo projects
  4. Prepares priorities, meeting context, and follow-ups
  5. Delivers the briefing to your Korvo workspace
Google CalendarGoogle DriveKorvo Workspace

Permissioned

Access is scoped to the accounts and folders you approve.

Private cloud execution

Each run happens in an isolated environment.

Visible run history

Every run, source, and result stays inspectable.

See Korvo Agents →

Be among the first to test Korvo Agents and help shape the product.

What Korvo is

Not a chatbot. Not just a workspace.
A decision engine.

Chat gives you an answer. Korvo helps you define the job before the answer is written.

A workspace stores your material. Korvo connects each conclusion back to the material that supports it.

A decision engine keeps the plan, challenge, evidence, and final call together so another person can inspect them later.

The workflow

Capture → Structure → Plan → Execute → Preserve

1

Capture

Drop files, notes, and pasted text into one project. Keep the messy source material together.

2

Structure

Korvo indexes the project locally so you can search and retrieve the right context.

3

Plan

It identifies the goal, assumptions, missing context, and analysis steps. You approve the plan before execution.

4

Execute

Produce briefs and syntheses grounded in evidence selected from your workspace, with citations back to the source.

5

Preserve

Keep the conclusion, source links, model details, revisions, and unresolved questions together.

Built for

People who have to show their work.

Investors

Run diligence across decks, financials, founder notes, calls, and market research. Pressure-test the case before it reaches partner review.

Founders

Turn board material, customer evidence, and scattered strategy notes into a plan with explicit assumptions.

Operators

Synthesize reports and project context into an actionable brief without losing the evidence behind it.

Researchers

Organize a literature set, compare claims, and produce cited synthesis from the source material.

Privacy and models

Local-first workspace. Transparent model traffic.

Your workspace, files, local index, and decision history stay on your machine. When using a cloud model, selected context goes directly to your provider under your own key and agreement. Or connect Ollama and nothing leaves your machine at all.

Local-first architecture

Files, the local SQLite index, notes, plans, and decision history reside strictly on your device. Korvo never holds your workspace data on its servers.

BYOK cloud traffic transparency

Connect OpenAI, Anthropic, Google Gemini, Moonshot (Kimi), or OpenRouter directly with your own key. Prompts and selected context go to that provider under their terms. Korvo never proxies, inspects, or logs them.

100% on-device option

Connect Ollama for full offline operation on local models. No prompt, project context, or document data leaves your machine.

Data rights, zero lock-in

Export your work to Markdown or JSON on any plan. Delete local workspace data anytime. Your files, notes, and generated outputs remain yours.

Korvo Embed

New

The search engine inside Korvo has no network access compiled into it.

Korvo Embed is our on-device embedding engine. It understands your documents by meaning rather than keywords — a 34 MB encoder that downloads once, runs on your machine, and is structurally incapable of sending a document anywhere. It ships in the Korvo app today, we license it for other products, and it is coming to the Korvo API Platform.

Meaning, not keywords

Ask in your own words and find the document that says the same thing differently.

Private by architecture

No HTTP client in the dependency tree — verifiable in one command, enforced in CI.

No cost per query

No account, no API key, no rate limit. Your index is a file on your disk.

Medha

Models generate. Medha measures. You decide.

Medha is Korvo’s on-device quality-measurement layer. It tests retrieval with deterministic metrics such as recall, MRR, and nDCG without model calls or private corpus content leaving the device. It does not generate answers or claim that an answer is true.

<10ms per operation$0 per evaluationZero network callsHuman-labelled release evaluation in progress
See how quality is measured →