Pricing
Ship your stalled AI, and keep the capability.
Two parts, one outcome: a fixed-scope implementation to get your AI live, then a subscription that keeps it running and improving. Priced on the capability, never per hour.
Implementation
We ship your first AI capability into production and stand up Erdos, typically in three to six weeks.
- A scoped plan with a defined outcome, agreed up front
- One workflow shipped on your data, in your tools
- Erdos stood up during the build
- Your team trained to run it
Erdos subscription
The capability that staysThe capability that stays: your managed company brain, monitored, kept fresh, and improving.
- Private company brain, answering where your team works
- Managed: monitored, kept fresh, and secure
- Isolated to your company, never used to train anyone else's model
- Month to month, cancel anytime
Starting prices. Final scope is set on a short call, and larger implementations are quoted to the work.
What’s included
Every engagement, the same way.
Not a finder’s fee and not a staffing arrangement. A managed engagement with a defined outcome.
A scoped plan before we build
We map your data, systems, and the workflow, then come back with a defined outcome and a fixed price. No open-ended discovery bill.
Delivered by our own team
Our engineers and our agents, not a contractor we found for you. The people who built the delivery system run the delivery.
Shipped into the real workflow
In the tools your team already uses, on your data, with the people who need it actually using it.
Managed contracts and IP
Work-for-hire agreements, NDAs, and IP assignment handled, with your data isolated to your company.
Your team trained to run it
Operating and extending what we built is part of the engagement, not an upsell.
Erdos, managed
The company brain stood up during the build, then monitored, kept fresh, and improving on subscription.
What stays behind
Internal tools that answer from your own data.
Your docs, tickets, contracts, SOPs, and systems of record, wired into one place your team can ask questions of, in the tools they already work in. Answers come back with sources, not guesses.
Ownership
Your data and documents are always yours. Erdos is a managed service: full access while you're subscribed; cancel and the managed brain deactivates, your underlying data stays with you.
Why it’s worth it
The alternatives cost more, or don’t exist for you.
| Option | Cost | Speed | Fit |
|---|---|---|---|
| Build an internal AI platform team | $385K–$1.2M / yr + recruiting | 3 to 6 months | If you can hire them |
| Big-tech deployment unit | $1M+ minimums | Enterprise cycles | Fortune 500 only |
| Erdos | From $25K, then from $5K / mo | Live in 3 to 6 weeks | Built for the mid-market |
You don't need a $400K full-time hire to find out where AI fits in your business. You need a team that has shipped this before, and a capability that keeps running once it's live.
Questions
The answers buyers ask for first.
- Who owns the IP and our data?
- Every engagement is work-for-hire: the code, the workflow, and everything we build for you is assigned to you, and your data stays isolated to your company. We handle the contracts, NDAs, and IP assignment so it's airtight from day one.
- Is it model- and vendor-agnostic?
- Yes. We build on your data and stack with whatever model fits best, with no lock-in to a single vendor and no leaking your IP to train someone else's model. If the right tool changes, so can you.
- What happens to Erdos if we stop?
- Your data and documents are always yours. Erdos is a managed service: full access while you're subscribed; cancel and the managed brain deactivates, your underlying data stays with you.
- Why isn't this priced hourly?
- Because you're buying an outcome that recurs, not someone's time. Hourly pricing rewards us for taking longer and gives you no way to budget. A fixed implementation price and a flat subscription mean the incentives point the same way: get it live, keep it working.
- How fast can we start?
- The first conversation and a look at your systems takes about a week. From there, most implementations run three to six weeks to something live in production. No RFP, no procurement maze.
Get started
Get your AI over the last mile.
Tell us what’s stalled and we’ll come back within one business day with a read on scope and what it would take to ship.