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From localhost to global reach

We take care of your product from the first deploy to customers on every continent: cloud, deploys, on-call, costs and compliance, for one monthly fee.

Rows of white server cabinets in a quiet, brightly lit data center
An engineer working alone at a desk lamp in a dark office late at night

Why teams call us

It's 3:04 am. The inference queue is backing up, and the only person who understands production is asleep. Or worse, awake.

Every startup reaches the point where infrastructure stops being a side task. Most hit it at the worst possible moment.

  • Production breaks and your best engineer drops everything to fix it.
  • The cloud bill grows faster than revenue, and nobody owns the number.
  • A big customer asks for SOC 2, and the deal waits on a questionnaire.
  • Hiring a DevOps engineer takes months and costs over $150k a year.

Every stage, one team

From localhost to global reach.

We take care of your product at every step: the first deploy, the first thousand users, the first enterprise customer and the first region abroad. Same people the whole way.

localhost:3000
  1. Day 1

    It works on your laptop

    Containers, a clean repo, CI from the first commit.

  2. Stage 2

    Live on a real URL

    Cloud accounts, infrastructure as code, preview environments.

  3. Stage 3

    Real users, real data

    Backups, monitoring, alerts, and someone on call.

  4. Stage 4

    Traffic and the bill both grow

    Autoscaling, cost control, SOC 2 readiness.

  5. Global

    Customers on every continent

    Multi-region, CDN at the edge, data kept where the law wants it.

us-east

18 ms

eu-west

21 ms

ap-south

24 ms

Illustrative latencies for a typical three-region setup.

What we run

Everything between your code and your customers.

One team for the whole stack, shaped around what your startup needs right now. No ticket queue, no new tool to learn.

  • Cloud, written as code

    AWS, Google Cloud or Azure, set up properly and kept in your repository. Every change reviewed and reversible.

    Terraform · IaC

  • Deploys that just work

    CI/CD with tests, preview environments and one-click rollback, so shipping on a Friday stops being scary.

    CI/CD

  • Scaling without surprises

    Kubernetes or simpler containers, sized for your real traffic and set to grow on their own.

    Kubernetes

  • Someone else holds the pager

    Monitoring, alerts and on-call in your covered hours. Every incident ends with a written postmortem.

    On-call

  • A cloud bill that shrinks

    Rightsizing, commitments, storage and log cleanup, with a monthly report on what changed and what it saved.

    FinOps

  • AI infrastructure

    An LLM gateway with routing, caching and spend limits, plus GPU and inference tuning.

    LLM · GPU

  • Security and SOC 2 readiness

    The controls, evidence and answers that get you through security reviews and audits.

    Compliance

On call

We hold the pager, so you can sleep.

Alerts come to us first. We acknowledge urgent issues within 30 minutes in your covered hours, fix what we can, and send a written postmortem after every incident. This is what that looks like.

30 min
urgent acknowledgment
Every time
written postmortem
eu-west-1
All systems operational
Diagram of a production stack: users, edge, API, Postgres, queue, GPU workers, LLM gateway and monitoring, with an incident being resolved.usersweb + mobileedgecdn · wafapik8s · 6 podspostgresreplicatedqueuejobsgpu workersinferencellm gateway3 providersmonitoringmetrics · logs

Pager

  1. Quiet night. Nothing to report.

Your best engineer's week

Give them back the hours infrastructure takes.

Mon40 hoursFri
Product work22h
Fixing deploys5h
Incidents6h
Cloud console4h
Security forms3h

55%of the week on product

Illustration of a typical seed-stage week.

How it works

Off your plate in two weeks.

  1. 1

    This week

    Free infra review

    Thirty minutes on your setup. We tell you honestly what we would fix first, even if you never hire us.

  2. 2

    Week 1

    Written audit and plan

    Access, costs, reliability and security, ranked by risk, with the savings we expect to find.

  3. 3

    Week 2

    We take the pager

    Monitoring, alerts and runbooks go in. From here, incidents in your covered hours come to us first.

  4. 4

    Every month

    Report, then improve

    Uptime, incidents, the bill and what changed. Then we pick the next most valuable thing to fix.

A small product team working together around a table with laptops

Your team, back on the product.

Built for AI startups

AI products leak money in places ordinary apps don't.

We have run multi-model inference at hundreds of millions of tokens a minute. We know where the cost hides, and how to cut it without making the product slower.

Idle GPUs
Inference nodes sized for launch day, running all month.
One model for everything
Large-model prices for tasks a small model handles well.
No caching
The same prompts answered again and again, at full price.
No spend limits
One runaway loop or leaked key, and the bill arrives before anyone notices.
Dense bundles of network cables plugged into a server rack

Before Infrenic, we built and ran production infrastructure for AI products at a scale most startups never reach. So what we set up for you still holds at a hundred times the traffic.

AI agent runs a month on infrastructure we have built and run
0B+AI agent runs a month on infrastructure we have built and run
tokens a minute through multi-model inference
0Mtokens a minute through multi-model inference
database instances on a platform built from scratch
0kdatabase instances on a platform built from scratch
Type II audit led, from first evidence to final report
SOC 2Type II audit led, from first evidence to final report

Plans

One monthly price, shaped by your stack.

Launch

Pre-seed and seed teams with a first production app.

One app, one cloud

Monthly price set by your scope

Business hours in your time zone

Scale

Most teams start here

Seed to Series A teams with real users and a growing bill.

Growing product, real traffic

Monthly price set by your scope

Business hours, urgent issues acknowledged in 30 min

AI & Compliance

AI startups selling to companies that ask about security.

AI workloads and security reviews

Monthly price set by your scope

Extended hours, urgent issues acknowledged in 30 min

In writing, on day one

Promises we can actually keep.

  • A named engineer, not a ticket queue

    One person owns your infrastructure and knows it well. You always know who to message.

  • Urgent issues acknowledged in 30 minutes

    During your covered hours, from Scale upward. We tell you plainly which hours those are.

  • Savings worth the fee, or the audit is free

    If the week one audit can't find savings worth at least one month of your fee, you don't pay for it.

  • You own everything

    Your cloud accounts, your repository, your runbooks. Month to month, with a proper handover if you leave.

  • A written postmortem, every time

    What happened, why, and what we changed so it doesn't happen again.

FAQ

Questions founders ask

Use it. We do, every day, and it is why we can be faster and cheaper than an agency. But an AI tool does not own the outcome. When production is down at 3 am, or an enterprise customer sends a 200 question security review, you need a person who is accountable for the answer. That is what you are paying for.

A team talking through a plan in a bright, sunlit office

Show us your stack. We'll tell you what we'd fix first.

Thirty minutes, free. You leave with a short list of risks and savings, whether or not you work with us.

Founding clients: the first five teams get a reduced rate for six months in exchange for a case study.