Book a call

Ship it. Keep it running.

Valfort Tech is a DevOps consultancy for teams shipping software and AI. Senior engineers build your pipelines, reliability and AI platform, then hand your team the keys.

Book a 30-minute call See the 10-day readiness sprint

We work inKubernetesTerraformAWS, GCP and AzureArgo CDOpenTelemetryMLflowvLLM

From first commit to your customer's production.

Eight services, grouped by what you need next.

Most teams arrive with one problem on fire. We fix that first, then leave everything as code in your repositories, with runbooks your team can follow.

Ship

Get changes to production safely, on a cloud bill that makes sense.

DevOps

Deploys are manual and scary, and one person holds all the infrastructure knowledge.

  • Five-day audit with a scored report
  • CI/CD with automatic rollback
  • Infrastructure as code in Terraform
  • Monitoring, alerts and runbooks

Weekly releases become daily ones.

How we approach DevOps

Cloud

The cloud bill grows faster than revenue, and Kubernetes has become a second job.

  • Cost audit with savings in dollars
  • Tagging, so every cost has an owner
  • Zero-downtime migrations
  • A production Kubernetes platform

Bills typically drop 20–40%.

How we approach Cloud

Run

Stay up, and let your engineers sleep.

SRE

Customers spot outages before you do.

  • SLOs and error budgets
  • OpenTelemetry dashboards
  • Incident process and postmortems

Pages typically fall 50–80%.

How we approach SRE

AIOps

Thousands of alerts a week, a handful that matter.

  • Alert-noise audit
  • AI SRE agent pilot on past incidents
  • Remediation behind human approval

Alert noise typically falls 70–90%.

How we approach AIOps

Scale AI

Take models and LLM apps from demo to production.

MLOps

Models wait months for a path to production.

  • Training pipelines and model registry
  • Canary releases and rollback
  • Drift monitoring and GPU scheduling

Model releases go from months to days.

How we approach MLOps

LLMOps

A prompt change quietly breaks other answers.

  • Evals that gate every deploy
  • Tracing and cost dashboards
  • Guardrails and PII redaction

Inference costs typically fall 40–70%.

How we approach LLMOps

Embed

Make your product deployable at your customers, and pass their security review.

Forward deployed engineering

Your product closes deals, but every enterprise integration takes months.

  • Senior engineers inside your team, or your customer's
  • SSO, data warehouse and private-cloud installs
  • A documented handover, so you never depend on us

First integration live in 10–14 days.

How we approach Forward deployed engineering

Go-to-market DevOps

A 200-question security questionnaire is stalling your first enterprise deal.

  • SOC 2-ready AWS or GCP baseline
  • Evidence wired into Vanta or Drata
  • Launch load test and AWS Marketplace listing

Audit-ready in 4–8 weeks.

How we approach Go-to-market DevOps

Results are typical ranges, not promises. We measure your own baseline in the first week.

Start with a 10-day readiness sprint.

One fixed price, read-only access, all four areas. You get a scored report, a ranked 90-day roadmap and one fix shipped to production before we leave.

$3,500fixed, credited to any follow-on work

If we don't find at least three times the fee in savings or avoided risk, the sprint is free.

Book the sprint What the sprint covers
Day 0
A 30-minute callWe agree on scope, access and the two or three things keeping you up.
Days 1–2
Read-only accessCloud accounts, pipelines, dashboards and short interviews with your engineers.
Days 3–8
Assessment and one fixWe score Ship, Run, Scale AI and Embed, and ship the highest-value fix we find.
Day 10
ReadoutScored report, ranked roadmap, and cost and risk figures in dollars.
After
Your callA build sprint, a retainer, or nothing. Plenty of teams run the roadmap themselves.

Most of the work starts after the demo.

50%+

of generative-AI projects were abandoned after proof of concept by the end of 2025.

Gartner, 2026
29%

of cloud spend is wasted, the first rise in five years.

Flexera State of the Cloud, 2026
57%

of on-call teams say fewer than 30% of their alerts are actionable.

NeuBird AI survey, 2026
20%

is the median share of SRE time lost to toil, up for the first time in five years.

Catchpoint SRE Report, 2025

What teams ask before they sign.

What is Valfort Tech?

Valfort Tech is a DevOps, SRE and AI platform engineering consultancy based in India that works with software and AI teams worldwide. Senior engineers build pipelines, reliability and ML or LLM platforms in your repositories, then hand your team the keys.

Do you need write access to production?

Not to start. The first two weeks run on read-only access, and every change goes through your pull requests.

Are we locked in to you?

No. Everything lives as code in your repositories, with runbooks and a recorded handover on every engagement.

How does a team outside India work with you?

At least four hours of overlap with your working day, one named engineer, and a written update every Friday.

How much does it cost to start?

The 10-day readiness sprint is a fixed $3,500, credited to any follow-on work. If we don't find at least three times the fee in savings or avoided risk, the sprint is free.

When shouldn't we hire you?

If you have fewer than ten engineers and you're happy on a managed platform, you probably don't need us yet. We'll say so.

Tell us what's on fire.

A 30-minute call with an engineer, not a salesperson. You'll leave with at least one thing to fix, whether or not you hire us.

Or email hello@valforttech.com

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