Solutions for every team

Pick a job. Hand it to an agent.

Orchest isn't one more chatbot — it's a set of focused products that finish real work. Here's exactly how product, sales, and engineering teams use it.

For product teams · Laminar

Keep your product docs true to the code

Docs are written once and never touched again. Six features ship, and every page describes a product that no longer exists. New hires onboard to fiction; support answers from a version that's 14 months stale.

  1. 1
    Draft with an AI PM
    Brief Priya in a sentence and get a structured PRD or user flow back in seconds — built on your templates and past decisions.
  2. 2
    Ship and merge
    When a PR merges, Laminar traces which flows and specs it affects and proposes a targeted update for review.
  3. 3
    Promote to live docs
    Approve the change and it becomes the live documentation — readable by engineering, support, and external developers.
laminar · PR #2041syncing
eventPR #2041 merged → main
API Reference v4
Endpoint params updated
synced
Checkout Flow
2 steps rewritten
synced
Onboarding Guide
Screenshot step removed
synced
  • Documentation lag measured in minutes, not quarters
  • GitHub reconciliation surfaces what's gone stale
  • One source of truth your whole company can query
Open Laminar
For sales teams · Arc

Build a custom, on-brand deck in 30 seconds

Reps copy last week's deck — wrong company, wrong problem, screenshots a year old, pricing slide broken. The master deck is locked in Google Slides and the brand guide is a 40-page PDF nobody opens.

  1. 1
    Describe the prospect
    "30-min intro with Acme, fintech, API monetization." Arc parses the company, meeting type, and angle.
  2. 2
    Arc writes the deck
    Ten on-brand slides pulled from your knowledge base and brand kit — never generic AI taupe, never an invented number.
  3. 3
    Refine and share
    Tweak any slide in a real editor, then send a link and see who opened it, which slide they lingered on, and when.
arc · new deckgenerating
brief › 30-min intro · Acme · fintech · API monetization
Acme intro · 10 slides · on-brandgenerated in 28s
  • One-sentence brief → a polished 10-slide deck
  • Always on-brand — your kit applied to every slide
  • Per-slide share analytics on every link
Open Arc
For the whole company · Slack

Give every team an AI teammate in Slack

The same questions get asked in every channel, and the answers live in five tools nobody has time to search. Support escalates tickets engineering already answered months ago.

  1. 1
    Deploy a persona
    Add a named agent to the channels your team already uses — mapped to your workspace and your knowledge base.
  2. 2
    Ask in-thread
    Mention the agent and get a grounded answer with source links, or a clean summary of a long thread.
  3. 3
    Approve any action
    When an agent prepares a change — a doc edit, a code PR — a human reviews and approves before anything happens.
slack · #productonline
Sam · 9:41
@Ava what's our refund window for annual plans?
A
Ava · 9:41
Annual plans have a 30-day refund window, prorated after that.
Source · Billing Policy · Laminar
  • Grounded answers with citations, where work happens
  • Named personas across your workspaces
  • Human approval and audit trails on every action
Get started
For engineering · MCP

Plug your workspace into any coding agent

Your PRDs and specs live in one tool and your engineers code in another. Requirements get copy-pasted, go stale the moment they're pasted, and implementation drifts from what was actually agreed.

  1. 1
    Connect over MCP
    Point Cursor, Claude Code, or any MCP client at Orchest with a scoped, revocable API key — Streamable HTTP, no extra worker.
  2. 2
    Read live context
    The coding agent pulls live PRDs, flows, and specs into the same session it's writing code in — always current, never copy-paste.
  3. 3
    Ship against the spec
    It branches and opens a PR that matches the source of truth, so what's built is what was specified.
cursor · orchest-mcpconnected
implement the staged PRD for Checkout v2
search_artifacts("checkout") → 1 PRD
get_artifact(checkout-v2) → 1.8k tokens
Reading live requirements, flows & specs — no copy-paste, always current.
branch + PR opened against the spec
  • Workspace artifacts as first-class agent context
  • Scoped API keys: read, write, publish
  • Implementation that matches the source of truth
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