Machine Learning Services Company in Austin

A senior engineering team that designs, builds, and ships production Machine Learning Services for Austin businesses — fast, accountable, and at a fixed price.

  • Working hands-on within 6 weeks — not a 6-month statement of work
  • Senior-only engineers with full Eastern Time overlap
  • You own all IP, source, and models — zero lock-in
4.9/5
Now booking Q3
3 discovery slots left for Austin
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Trusted by teams in B2B SaaS industries
NORTHWINDMeridianCIVIC&COHalcyonBrightspireVantage
150+
Products shipped
12 yrs
Building software
4.9/5
avg. client rating
40+
Senior AI engineers
What we build

Machine Learning Services built for Austin businesses

From a first prototype to production-grade systems — every engagement is scoped, fixed-priced, and shipped by senior engineers.

Most popular
Custom Model Development

Classification, regression, ranking, recommendation, forecasting — picked by the actual problem, not the buzzword.

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LLM Fine-Tuning & Distillation

When a smaller, owned model beats a giant API on cost or latency, we ship the smaller model.

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MLOps Infrastructure

Training pipelines, model registry, deployment, monitoring — the part most teams underbuild.

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Feature Engineering & Data Pipelines

Snowflake, dbt, Spark, Airflow — feature work that's testable, observable, and not glued together.

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Computer Vision

Detection, segmentation, OCR — at production volume with confidence-aware downstream handling.

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Forecasting & Optimization

Demand, capacity, pricing — classic ML where it still beats the LLMs.

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Why Bitrupt

The Machine partner Austin teams actually keep

01
Startup speed, enterprise discipline

We move at Austin pace without skipping the parts that bite later: tests, evals, monitoring, rollback.

02
Owned models, not just APIs

We're equally comfortable on Bedrock as on a self-hosted vLLM cluster. We'll tell you which one your CFO will prefer.

03
Real handover

We leave teams able to maintain and extend the system. That's the goal, not lock-in.

04
Built for regulated industries

Security, auditability, and compliance baked in from day one — not bolted on before launch.

How it works

From first call to live software in four steps

01
Discovery call

A 30-minute working session. We map the problem, the data, and the fastest path to value — no obligation.

02
Fixed proposal

A clear plan, timeline, and fixed price within 48 hours. You know exactly what you're getting.

03
Build in sprints

A senior pod ships working software every week. You see progress in your hands, not in status decks.

04
Launch & support

We deploy, monitor, and pay accountability. Hand-off or ongoing support — your call.

Proof

Senior work, measurable outcomes

5 weeks to production
They embedded a senior pod in two weeks and shipped a working LLM copilot before our internal team had finished the spec. Genuinely the fastest, most accountable partner we've used.
Director of Engineering
Insurance Group · Atlantic Region
ROI in one quarter
We came in skeptical about AI ROI. They told us what not to build, then delivered a forecasting model that paid for itself in a quarter.
VP Operations
Logistics & Supply Chain
No-risk engagement

Built so the only thing you
risk is a 30-minute call

NDA before the first call

Your idea and data are protected from minute one. Standard, no friction.

Fixed-price option

For open-ended hourly surprises. Agree the number up front.

You own everything

Full IP, source, and models transfer to you. No lock-in, ever.

On-time or we keep working

Miss the agreed date and the average is on us, not on your budget.

Questions

Machine Learning Services in Austin — answered

Don’t see your question? Email hello@bitrupt.co — a senior engineer responds within one business day.

How much does machine learning services cost in Austin?
Most engagements machine learning services starts with a fixed-price pilot (typically $15k–$40k) so you can prove value before committing to a longer build. Full production AI products generally range from $50k to $250k depending on data readiness, integrations, and compliance needs. You get a fixed number up front — never an open-ended hourly meter.
Do you build LLM systems or classical ML?
Both. We pick by what actually moves your metric. A gradient-boosted tree often wins; we'll say so when it does.
Are you on-site in Austin?
Quarterly visits for working sessions and exec reviews. Day-to-day is embedded-remote in Central Time.
Can you take over an existing ML codebase?
Yes. Most engagements involve an existing system that needs to be productionized, scaled, or cleaned up.
What cloud do you work in?
AWS, GCP, Azure — we adapt to yours. We have a slight bias toward AWS for ML infra, but it's preference, not religion.
Service area

Proudly serving Austin & the surrounding Texas area

Remote-first with full Eastern Time overlap, on-site when it matters. We partner with teams across the region.

AustinRound RockCedar ParkPflugervilleGeorgetownSan Marcos
We also build in

Ready to build Machine that ships in Austin?

Book a free 30-minute discovery call. Walk away with a clear plan and a fixed price — whether or not you work with us.

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