BLOCKIUM/ LABS
Location

AI Automation Company in Austin

Austin's startup and growth-stage business density means a lot of companies need real AI engineering without an enterprise budget or a six-month procurement cycle.

01 The problem

Austin has a dense concentration of startups and growth-stage companies, many of whom need genuine AI engineering — not a demo — but don't have the budget or appetite for an enterprise consulting engagement built around retainers and steering committees.

At the same time, hiring a full-time AI engineer is a significant commitment for a company that needs one specific system built, not an ongoing headcount line.

A lot of AI agencies serving the startup market lean heavily on templated chatbot builds that don't hold up once a company's actual workflow gets more specific than a generic FAQ bot.

02 How we solve it

We scope projects to fit how a lean team actually operates — a specific workflow, automated well, for a fixed price, without the overhead of an enterprise sales process.

Because we write the code ourselves rather than assembling templated blocks, the system can actually match your specific workflow instead of forcing your process to fit a generic tool.

Engagements are structured so you can start with one well-scoped build and expand later, rather than committing to a large platform rollout before you know it's the right fit.

03 Sample workflow

What shipping this actually looks like.

01

A quick call, not a sales process

We learn what you actually need built, without a multi-stage procurement cycle.

02

Scope + price, fast

No ballpark ranges - a specific number, usually inside two business days.

03

Build exactly what was scoped

No scope creep, no upsell pressure mid-project.

04

Keep it lean and maintainable

We build for a team without dedicated ongoing AI engineering headcount.

05

Test against your real usage

We validate against how your team and users actually interact with it.

06

Launch + leave room to grow

The system is built to extend later, not a dead end once it ships.

Tools we typically useAI agents + custom LLM apps, Lean, maintainable architecture, Direct integration with your existing stack, Fixed-price, fixed-scope delivery
TimelineMost Austin engagements ship in 1–3 weeks, scoped to fit a lean team's timeline.
PricingSame fixed-price structure as everywhere we work — typically $3,000–$15,000 depending on complexity, often on the smaller end for a first build.
04 FAQ

Common questions.

Are you based in Austin?

No — we're headquartered in New York and work remote-first everywhere, Austin included. That's part of how we keep pricing lean for a startup budget: no local office overhead baked into the number.

Do we need a minimum budget or company size to work with you?

No minimum — we scope to the actual problem, and a lot of our Austin work starts with one well-defined system rather than a large platform engagement.

Can we start small and expand later?

Yes — that's a common pattern, especially for growth-stage companies that want to prove value before committing to a bigger build.

Will the system still work if we don't have in-house AI engineers?

Yes — we build for maintainability by a general engineering team, and document the system clearly so it's not a black box only we understand.

How is this different from using a startup-focused AI agency?

We write custom code rather than assembling templated chatbot blocks, which tends to hold up better once your actual workflow gets specific.

How fast can we see a working prototype?

Most projects have a working prototype within the first week of a signed scope.

Can you work within a startup's existing tech stack?

Yes — we integrate with what you already use rather than asking you to adopt new infrastructure for one feature.

Do you take equity or defer payment for early-stage companies?

No — engagements are fixed-price, paid the same way regardless of company stage, which keeps the commercial relationship simple for both sides.

Can you work with a pre-seed company that hasn't raised yet?

Yes — company stage doesn't change how we scope a project; what matters is a well-defined problem worth automating.

Do you understand the kind of fast iteration a startup team expects?

Yes — most Austin engagements move in days between check-ins, not weeks, which fits how a lean startup team already operates.

Can you work alongside our existing technical co-founder or engineer?

Yes — some projects are a clean handoff, others are a collaboration where we build the AI-specific piece while your technical team owns the rest.

Do you understand the pressure of hitting a fundraising or demo milestone?

Yes — we're used to scoping around a real deadline rather than treating every project as open-ended, which matters when a specific milestone is driving the timeline.

Can you move faster than the two-to-three week typical timeline if we're under real pressure?

Sometimes — tell us the actual deadline during the discovery call and we'll be honest about whether a tighter timeline is realistic for the scope you need built.

• Related

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