More runway. Same team.

We speak blockchain
and AI.

Give your team time back. Put AI to work on support queues, compliance paperwork and product workflows. Get a free assessment: a written answer on where to start, what stays with a person, or whether to build at all.

Let’s find out

Rather talk than type? Let’s talk.

TICKETS YOUR DOCS ALERTS AGENT DRAFTS ASKS LOGGED A PERSON sign-off here safe alone holds no keys

Four disciplines.
Plus the fifth: AI.

Denver studio since 2011. Working with crypto businesses since the first cycle.

ShapeShift and SALT Lending launched out of our office. We built CoinDesk’s brand and the Consensus brand for its first New York shows, and worked on the KeepKey wallet and the fund platform for WallStreetBets. Here is what that looks like today, discipline by discipline.

01
Product scoping, then owning what ships
Product strategy and technical lead through SALT’s launch. Web and app product design for CoinDesk. Now: assistants inside the product, with a written scope for what each may do on its own.
02
Tech architecture through production
Exchange development and new-asset support for ShapeShift. Wallet indexing and key handling on KeepKey. SALT’s token sale and exchange listings. Now: development and development support, integrations between the systems you already run, and automations for the work between them.
03
Design creative direction, brand and interface
The CoinDesk brand. The Consensus brand. KeepKey’s product renderings, made before the hardware existed. Now: brand and interface design for AI features, with clear controls for what an assistant can do on its own.
04
Marketing community and the commercial side
Support and assets for the first Consensus shows. KeepKey’s move to market after the ShapeShift acquisition. Now: community moderation drafts, and docs and content kept current.
05
AI assistants, integrations, workflows, decision models, custom builds
Assistants and agents that answer from your docs and hand anything account-specific to a person. Workflow automations for the support and compliance queues. Decision models for the fast calls inside your backend and frontend. Custom AI taken from prototype to production, with an AI security review before anything goes near keys or funds.

Where AI can take work off your team

Start with the repeated work that costs time every week. Pick the first workflow by the hours it could save against the cost to build and run it.

Support cases ready for a person which network, how long a deposit takes, what a fee is

General questions answered from your own docs, source attached, at any hour. For account and transaction issues, the context and the checks already done are assembled, so your team picks up the case without starting over.

Compliance files ready for review KYC and AML

Documents collected, missing pieces flagged against your checklist, evidence from your existing providers brought into one review file. Every step is logged. Your compliance officer decides.

Stablecoin payment exceptions in one place status, provider messages, transfer records

One queue for the payments that didn’t land. Software checks flag the mismatches, AI drafts the explanation for review, and your team gets the context to investigate. Calculations and reconciliation stay in plain code.

We never held the keys at ShapeShift. We’re not about to hand them to an assistant.
Permissions, oversight and ownership

What it may do without asking

Before anything touches your operation, we put it in writing: what it can do on its own, what it brings to a person, what gets logged, and who keeps an eye on it.

In crypto, one wrong click can move money, so we draw the lines tighter. By default an assistant can read, not change. Permission to change anything is granted one task at a time, and nothing goes near custody, signing or treasury. A support assistant can tell a customer which network their deposit went to, but it can’t touch the account. A compliance assistant can put a file together, but approving it is your officer’s job. Anything that matters waits for a person, and we write that down before anyone writes code.

It runs in your accounts, on your infrastructure where you want it there, under your control. Every build ships with a named owner, a runbook your team actually uses, and an answer for the day the model or a vendor changes underneath it.

System One models

Decisions in milliseconds.
A rebuild worth scoping.

Plenty of the AI calls in your product don’t need a model that writes.

Decision models such as TypeSafe AI’s Jev answer a typed question, yes or no, a choice, a score, in under half a second for cents. They don’t write text or do the math, and being sure of an answer doesn’t give them permission to act on it.

01
In your backend routing, ranking, risk flags
Which queue a case goes to. Which transfer looks wrong. Which alert a person sees first. Every call is typed and logged, so someone can check it later.
02
In your frontend the next step for each user
Which help to show next. Which onboarding path fits. When to hand off to a person. Fast enough to happen while the page loads.
03
The catch it is a rebuild
The decisions buried in your code paths and prompts move into typed questions you can test and log. That changes how the product is built, so it starts with a scope: which decisions, what each one may do, and what it costs to run. That is what the AI Opportunity Audit is for.
How it starts

Start with the problem

We assess where AI could help across your product, operations or development workflow. If there is a useful next step, we define the systems, permissions and success criteria before building.

01
Free Assessment no charge, no obligation
Bring one workflow that keeps taking time from your team. We look at the systems involved, where AI could help and what stays with a person. You get a written answer: whether the savings justify building and running it, where to start, or whether to start at all.
02
AI Opportunity Audit the first system, in writing
Which workflow, which systems it touches, what it may do alone, what done means, and what the build takes. It’s yours to keep, and your own engineers can build from it.
03
The build, if it’s a go set by the scope
Scope and success criteria agreed before the work starts. Build with us or in-house with the scope in hand.

What crypto teams ask first

Can an AI agent handle crypto customer support?

For general questions, yes: which network, how long a deposit usually takes, what a fee is. It answers from your own documentation with the source attached, and says so when the answer is not there. A question about a specific account or transaction, such as a pending withdrawal, is routed to your team with the account attached. We build it inside the help desk you already run, and it only gets the access it needs.

Can AI help with KYC and compliance paperwork?

It can help with the paperwork, not the decision. An agent can collect the documents, check them against your checklist, chase what is missing and assemble the file for review. Your compliance officer decides, and every step is logged.

Do you actually know blockchain, or only AI?

Both. We have worked with crypto businesses since the first cycle: ShapeShift and SALT Lending launched out of our office, we were fractional CTO through SALT’s launch, we built CoinDesk’s brand and the Consensus brand for its first shows, and we worked on the KeepKey wallet and the WallStreetBets fund platform. Today the same team integrates AI into that work: automations, integrations, assistants, development and development support.

Can an AI agent touch wallets or move funds?

Not on its own. By default an assistant can read, not change, and nothing it does goes near custody, signing or treasury. Permission to change anything is granted one task at a time, anything that matters waits for a person, and we write those rules down before anyone writes code.

Where should a crypto team start with AI?

With the repeated work that costs the most hours: support cases, compliance files, or payment exceptions. That is where an assistant can help without being handed any authority. The free assessment tells you which one to start with, or whether to start at all.

What is a decision model like Jev?

A small, fast model that answers a typed question instead of writing text: yes or no, one of a few choices, or a score. TypeSafe AI’s Jev is one. It answers in under half a second for cents, so it fits inside a product for routing, ranking and risk flags. It doesn’t do math or take actions on its own, and putting one in usually means rebuilding how those decisions are made, so we scope it first.

Can AI help with stablecoin payment reconciliation?

It can help with the investigation, not the math. Software matches the transfers to your records and flags what doesn’t line up. AI pulls the payment status, provider messages and history into one place and drafts an explanation, so your team can resolve the exception faster. The numbers stay in plain code, and a person signs off.

Do you only work with teams in Denver?

No. We are a Denver firm, in business since 2011, and we work with teams anywhere. The free assessment is written, so it works across time zones.

Could your runway go further?
Let’s find out.

Let’s find out

Rather talk than type? Let’s talk.