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Three ways to get AI doing real work.

Rent it from a SaaS vendor, build it on a framework, or own it with Vocion. Here is how the three compare, including the rows where the others win.

  • Closed SaaS AI

    Enterprise chat assistants and agents hosted by the vendor. You sign up, they run everything.

    Best when

    You want people using AI this afternoon and are fine with the vendor holding the data and the roadmap.

  • Build on a framework

    An agent library such as LangGraph, plus the infrastructure, apps and controls your engineers build around it.

    Best when

    You have an engineering team that wants to control every line, and time to build what the business sees.

  • Vocion

    Enterprise-grade AI you own. Open source core, running in your AWS account or ours, with apps ready on day one.

    Best when

    You want real work done now, and you want to keep the agents, the data and the deployment.

Side by side

What you get, and what you keep.

Categories, not vendors: score the one in front of you. Vocion's enterprise rows use the same status as the enterprise page.

Ownership

  • Runs in your cloud account

    Closed SaaS AI
    Vendor's cloud
    Build on a framework
    Yes, once you build it
    Vocion
    Your AWS, or ours

  • Records in your own Postgres

    Closed SaaS AI
    Vendor's store
    Build on a framework
    Wherever you put them
    Vocion
    Yes, or ours on Cloud

  • Open source

    Closed SaaS AI
    Build on a framework
    The library is
    Vocion
    MPL-2.0

  • Leave with your agents and history

    Agents, teams and rules are YAML in your git. Runs and approvals are rows in your Postgres.

    Closed SaaS AI
    Export, if offered
    Build on a framework
    Vocion

Apps

  • Workforce: agents doing team jobs

    Closed SaaS AI
    Varies by vendor
    Build on a framework
    You build it
    Vocion

  • Assistants for every person

    Closed SaaS AI
    Build on a framework
    You build it
    Vocion

  • Software Factory: from ticket to pull request

    Closed SaaS AI
    Varies by vendor
    Build on a framework
    You build it
    Vocion

  • GTM: research, outreach, pipeline

    Closed SaaS AI
    Varies by vendor
    Build on a framework
    You build it
    Vocion

  • Time to the first real job

    Closed SaaS AI
    Same day
    Build on a framework
    Weeks to months
    Vocion
    This week, on Vocion Cloud

Enterprise

  • Dedicated deployment in your AWS

    Closed SaaS AI
    Rarely offered
    Build on a framework
    You run it
    Vocion
    Today

  • SSO and SCIM

    Closed SaaS AI
    Usually, on top tiers
    Build on a framework
    You build it
    Vocion
    Coming

  • Multiple orgs, Postgres row-level security

    Closed SaaS AI
    Vendor's tenancy model
    Build on a framework
    You build it
    Vocion
    Coming

  • Audit log export to your SIEM

    Closed SaaS AI
    Usually, on top tiers
    Build on a framework
    You build it
    Vocion
    On the roadmap

  • Customer-managed keys

    Closed SaaS AI
    Some vendors
    Build on a framework
    Your KMS, your wiring
    Vocion
    On the roadmap

Trust

  • Human approval and a record of every run

    Who approved what, what the agent read, and what it cost.

    How trust works →
    Closed SaaS AI
    Varies by vendor
    Build on a framework
    You build it
    Vocion

Cost

  • Platform fee

    Closed SaaS AI
    Per seat
    Build on a framework
    None for the library
    Vocion
    None for open source

  • Model spend visible per run

    Closed SaaS AI
    Bundled into the seat
    Build on a framework
    If you instrument it
    Vocion

Running it

  • Operations you take on

    Closed SaaS AI
    None
    Build on a framework
    All of it
    Vocion
    Some, or none on Cloud

  • Control over the agent loop

    Closed SaaS AI
    Build on a framework
    Every line
    Vocion
    Open source, set in YAML

  • Ecosystem and community

    Closed SaaS AI
    Large
    Build on a framework
    Largest
    Vocion
    Smaller
Todayships nowComingin active workOn the roadmapplannedEnterprise status

Fair is fair

Where the others win.

If one of these is what matters most to you, it may be the right call.

  • Closed SaaS AI

    Zero operations, same day

    Nothing to deploy, patch or upgrade, and people can start the day you sign. If you never want to think about infrastructure, that is worth a lot.

  • Build on a framework

    Maximum control

    Every node, prompt and retry is your code. Nothing is decided for you, and the LangChain ecosystem is far larger than ours.

  • Closed SaaS AI

    Identity and audit on the top tier

    Many SaaS vendors already sell SSO, SCIM and audit export. In Vocion those are coming or on the roadmap, marked on the enterprise page.

Before you sign

Six questions for any AI vendor.

Including us. Vocion's answers: your AWS account or ours, agents as YAML in your git, records in a Postgres you can take with you, open code, and the cost on every run.

EnterprisePricing
  1. 01Whose cloud account do our records live in, and can we move them into ours?
  2. 02If we stop paying, what keeps running, and what do we take with us?
  3. 03Can our engineers read the code that decides what an agent does?
  4. 04Which enterprise controls ship today, and which are a roadmap? Ask for the dates.
  5. 05Can we see what each run cost in model spend, and which team it was for?
  6. 06Who builds and maintains the apps our teams will actually use?

In depth

Comparing a specific stack?

Row by row, with sources for every claim about the other side and the date we last checked.

Get a demoView on GitHub

Get started

Compare it on your own work.

Bring one job your team does every week. We will run it in a demo on sample data shaped like yours, and show you what you would own at the end.

Get a demo

For your team: a demo built around your job, on sample data.

For your engineers

Run it yourself

The requirements, the AWS path and the repo.