We deploy the AI, and leave behind the brain that runs it.
Your pilot works in the demo and dies in production. Erdos ships it into production on your data, then stays on as the managed company brain that keeps it running, improving, and answering your team's questions.
8 questions, 2 minutes. Get a stall-risk score and a tailored next step.
Priya · Ops
What’s our refund policy for annual plans?
Erdos
Annual plans are refundable pro-rata within 30 days of renewal. After 30 days, the balance converts to credit on the next term.
Who this is for: Built for CTOs, VPs of Engineering, and Heads of AI, ML, or Data at 50 to 500 person software and tech-enabled companies with a stalled AI initiative and no internal deployment muscle.
The problem
95%
of AI pilots stall on integration, not the model.
The model was never the hard part. Pilots die in the gap between demo and production, where there's no clear owner, no in-house deployment muscle, and no one to wire the AI into the messy reality of your systems and your team. So it sits in a notebook, impressive and unused, while the budget quietly evaporates.
How it works
We don't just deploy AI. We install a capability that stays.
Delivered by our own team and our agents, not a rotating contractor. Three steps take you from a stalled pilot to production, and leave your team able to run it.
We deploy it
Our team maps your data and systems, then ships your first AI capability into production, in the tools your team already uses. Typically three to six weeks.
Erdos stays
During the build we stand up Erdos: a private company brain trained on your docs, SOPs, and decisions, that answers with sources.
We run it
Monitored, kept fresh, improving as your data changes. Your team is trained to operate and extend it, and we stay on for as long as that's useful.
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.
It keeps learning your business. New hires ask Erdos instead of interrupting your best people, and the know-how for running your AI never walks out the door.
We connect the sources
Your warehouse, your wiki, your ticketing, your drive. We handle the messy part: access, permissions, freshness, and the fields nobody documented.
We ship where the work happens
In Slack, in your admin, in the CRM. Not a separate app your team has to remember to open.
We keep it running
Monitored, kept fresh, and improving as your data and your business change.
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.
Pricing
One capability. Two simple parts.
One fixed-scope implementation to get your AI live, then a subscription that keeps it running and improving. Priced on the capability, not on hours.
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. See full pricing and terms.
The math
The cost of building this capability yourself.
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.
Building an internal AI platform team
$385K–$1.2M / yr
- Months of recruiting before a single line ships
- Scarce talent, bid up by every major lab
- Full-time cost for a finite deployment problem
- The knowledge still walks out when they leave
Erdos
Shipped in weeks
- A team that has shipped this into production before
- Something real running on your data in weeks
- Priced on the capability, not on hours
- The brain stays and keeps improving
Questions
Good to know.
Still deciding? These are the things teams ask us first.
Internal tools that answer from your own data. We connect the sources your work already lives in (your warehouse, wiki, ticketing, drive, and systems of record), then ship something your team can actually query, inside the tools they already use. Answers come back with sources. The first engagement ships one real workflow into production; Erdos is the brain underneath it that keeps working afterward.
It starts with a short conversation and a look at your systems. We come back with a scoped plan: the data sources, the workflow, and what 'done' looks like. Then we build it, ship it into production, and train your team to run it. Typically three to six weeks from kickoff to something live.
Our own team, with our agents handling the repeatable parts of every deployment. You are not being matched to a contractor from a marketplace, and you are not paying for someone's hours. You are buying a capability, delivered by the people who built the system that delivers it.
Implementation starts at $25K, fixed scope, and the Erdos subscription starts at $5K per month. We price on the capability, never per hour. Final scope is set on a short call and larger implementations are quoted to the work.
For most teams, not yet. Standing up an internal AI platform function runs $385K to $1.2M a year before anything ships, the talent is scarce, and the big-tech deployment units only serve Fortune 500 budgets. You don't need a full-time hire to find out where AI fits in your business. You need something running on your data.
The capability stays. Your team is trained to operate and extend what we built, and Erdos keeps answering from your docs, SOPs, and decisions, so your best answers never leave with one person. 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.
Your data is isolated to your company, never shared across clients, and never used to train anyone else's model. We are model-agnostic and build on your stack, so there's no lock-in to a single vendor and no leaking your IP. Access is scoped to what the engagement needs, and removable anytime.
Find out if your AI will ship.
8 questions, 2 minutes. Get a stall-risk score and a tailored next step.
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 what it would take to ship it.
Not ready to talk? Take the free Scorecard first for a stall-risk read. Take the Scorecard.
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