asaasinAI consulting
Asaasin is an AI consulting firm for founders and VPs of engineering who need a real recommendation, not a slide deck. We start with a free working prototype of the thing you are weighing, then a pod of senior engineers builds it, starting at $7,500 a month, month-to-month.
Most AI consulting starts with a discovery phase and ends in a strategy document. Someone interviews your team, writes up a readiness assessment, and hands you a roadmap for a build that someone else will do later, if it happens at all.
We run it the other way. One working session to understand the business and the constraint, then we build a free, working prototype of the thing you are considering. You click through it. You approve it, or you tell us what is wrong and we change it. That prototype is the consulting: it shows you, in software, whether the idea holds up before either of us commits to a build.
If the recommendation is a build, the same team that built the prototype becomes the pod that ships it. There is no handoff to a different vendor, no re-scoping, no second sales cycle.
A real consulting relationship includes telling you when you do not need what you came in asking for. If the task is generic, drafting text, summarizing a public document, a feature already inside a tool you pay for will do the job for less than any consulting engagement costs.
A custom build earns its cost under three conditions: the value comes from data nobody else has, your workflow does not match what a generic SaaS tool assumes, or you have a compliance requirement, a signed BAA, an audit log, data that cannot leave your infrastructure, that a horizontal product cannot meet. If none of those apply, we will say so on the first call rather than in month three.
We are also honest about scale. A five-year, single-product engineering hire is a different problem than a scoped build, and a modernization program spanning a dozen departments and hundreds of engineers calls for a different kind of firm than a pod. We tell you which situation you are in.
An engagement usually opens with an audit: a forward-deployed engineer looks at your workflow, maps the hours and cost of what is being done manually, and ranks what is worth automating with an expected saving attached. That is the assessment work most firms sell as a standalone deliverable.
Ours ends in a working prototype of the top candidate, not a memo. From there the same engineers keep going: data ingestion built to your schema, a model layer you can swap or run offline, an evaluation suite that catches regressions before your customers do, and a deploy pipeline that ships into your own repository from week one.
That is also how we handle an AI pilot someone already built. We will look at what exists, tell you plainly whether the architecture holds up, and either extend it or replace the parts that will not survive production, instead of restarting the project to justify a new statement of work.
Pricing is published, not quoted after a sales call. A Builder Pod is $7,500 a month: one active build track, a pod lead plus a two-engineer bench, weekly ship, month-to-month with 30 days notice. A Growth Pod is $10,000 a month: two concurrent tracks, a pod lead plus a three-engineer bench, weekly ship plus a bi-weekly strategy call. Enterprise engagements, three or more parallel tracks with a dedicated senior lead, are scoped in a meeting because the shape varies too much for a single number.
There is no hourly billing and no change orders. You are billed for capacity. The people doing the consulting, the pod lead and the engineers, are the same people who write the code, so there is no gap between the recommendation and the person accountable for building it.
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We dig into the business, the constraint, and what the thing actually has to do. No form gauntlet before the real conversation.
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Clickable software, not a slide deck. You approve it or tell us what to change.
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Once the prototype holds up, we scope the build into tracks, a timeline, and a pod size sized to the work.
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A pod lead and senior engineers land in your codebase and your repository, not ours.
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Shipped code every week with daily standups in your channel. Cancel with 30 days notice, no long contract underneath it.
Client names withheld. Engineering described exactly as it shipped.
Every incumbent dental EHR treats an inbound inquiry as a chart the moment it arrives. We built a unified practice EHR that treats it as a lead first, with a CRM lifecycle, dual-path airway and sleep screening, and role-based access built into the same record as the clinical chart.
The firm sat on raw statewide voter files and federal contribution data with no way to turn tens of millions of rows into something a campaign could act on. We built a campaign operating system over a unified voter and donor graph, with ML turnout and persuasion scores per voter and new states onboarding through a single command.
A white-label pharmacy platform where a missed prescription-routing failover or a gap in the audit trail is a compliance liability, not a defect to patch later. We built the routing, failover, consent and e-sign, and a seven-year immutable audit log, verified against numbered requirements before anything merged.
Firms built for enterprise modernization scope engagements through a statement of work and staff them from a large bench. We run one model: a subscription pod, priced and published, that works in your own repository from week one. Their model fits a multi-year program across a dozen departments. Ours fits a founder or a VP Eng who needs a senior team shipping in days, on a build that runs one to twelve months. Neither replaces the other; they solve different problems.
The consulting itself, the working session and the prototype, is free. If you move to a build, a Builder Pod is $7,500 a month with one active build track, a Growth Pod is $10,000 a month with two concurrent tracks, and Enterprise is scoped in a meeting for three or more parallel tracks. All three are month-to-month with no per-hour billing and 30 days notice to cancel.
No. The strategy phase is the prototype. We use one working session to understand the constraint, then build a free, clickable version of the thing you are weighing so the decision is made against working software instead of a document. If the honest answer after that session is that you do not need a pod yet, we say so on the call.
Yes. We will look at the existing system, tell you directly whether the architecture, the data pipeline, and the evaluation approach will hold up in production, and either extend what you have or replace the parts that will not survive real load. We are not going to tell you to restart from zero just to justify a new engagement.
Not as a standalone seat today. A fractional CTO sets architecture and stack direction without implementing; a pod lead makes the same class of decision while the pod ships the code every week. If the gap is deciding what to build, start with the working session. If the gap is building it, the pod lead owns architecture inside the engagement.
Yes, HIPAA-aligned under a signed BAA. There is no such thing as HIPAA certification, so we do not claim it. We sign BAAs on request and have shipped two HIPAA-aligned platforms in production: a compounding-pharmacy routing and audit-log system and a medical-billing audit platform, with a SOC 2 Type II report available under NDA.
You do, from day one. Everything ships into your own repository and your own cloud account or VPC, with no license-back to us. If we stopped working with you tomorrow, nothing in the system depends on an Asaasin-only service to keep running.
Then you have that answer for free, before spending anything on a build. That is the point of leading with a working prototype instead of a proposal: the failure, if there is one, shows up in software you can see, not in a projection inside a slide deck.
A criteria-first look at leading AI consulting and development firms - where each fits, Asaasin included, not first.
What custom AI development actually involves, what it costs, and how to tell a real build from a wrapped API.
A fractional CTO is a part-time technical executive shared across companies - what they do, what they don't, and who needs one.
Thirty minutes to map your problem to a plan and a timeline. You will leave the call with scope, price, and a start date.