digitalux

AI-native product engineering

Software that ships.Systems that hold.

We build, rescue, and run software for founders and operators — senior engineering pods with practical AI wired into the workflows that actually run your business.

Book a strategy call
Read the manifesto
sys.status /operationalbase /Lahore → Globalpods /senior-onlyentry /discovery sprint
Product engineeringAI & automationProduct rescueCloud & DevOpsUI/UX design
Product engineeringAI & automationProduct rescueCloud & DevOpsUI/UX design
Manifesto

Most teams don’t need more tools. They need a system that holds. Scattered ops, half-built products, AI that never connects — we replace the mess with one operating layer: clean data, connected workflows, and AI that actually runs the business.

Capabilities

Five capabilities.
One operating layer.

01 / Build● ready

Product engineering

Ship the SaaS, dashboard, or platform you’ve been planning — senior engineers who scope, decide, and deliver without hand-holding.

Next.jsNodePostgrestRPCReact Native
02 / Rescue● ready

Product rescue & modernization

Audit, stabilize, document, rebuild. We take the codebase you inherited and make it shippable again.

AuditRefactorMigrationTest coverage
03 / Automate● ready

AI & workflow automation

Agent-ready workflows wired to real data, permissions, review gates, and audit trails. AI-native, not AI-themed.

OpenAIClauden8nTrigger.devpgvector
04 / Operate● ready

Cloud, DevOps & ownership

Deployment, monitoring, backups, performance, security basics. We hold the pager so your team can build.

AWSGCPVercelDockerCI/CD
05 / Design● ready

UI/UX & product design

Product flows, dashboards, design systems, and prototypes that connect cleanly to engineering — no Figma fiction.

FlowsDesign systemsDashboardsPrototypes
Live systems

AI that runs the work.
Not a chatbot in the corner.

Every workflow we ship is wired to real data, real permissions, and a human review gate. The terminal on the right is a real morning: ops ingested, owners resolved, reports drafted — before the standup starts.

  • Connected to your data — not a demo
  • Review gates where judgment matters
  • Audit trails on every automated step
digitalux · ops-runtime
Measured outcomes
−0h/wk

admin removed from one logistics ops team

0 wks

from stalled SaaS to weekly releases

0s

CRM to drafted proposal, reviewed by a human

0%

team adoption after the first rollout month

Field records

Real engagements.
Honest outcomes.

C·01AI workflow automationSME · Logistics

18 spreadsheets and a WhatsApp group → one ops dashboard.

Daily ops ran on spreadsheets, paper slips, and WhatsApp. We mapped the flow, replaced it with a single dashboard, automated dispatch reporting, and put AI summaries in the ops lead’s morning standup.

Stack
Next.js · Postgres · n8n
Outcome
−14h/wk admin
Truth
1 source
case file · C·01
C·02Product rescueStartup

A stalled SaaS, stabilized in 6 weeks.

Inherited codebase, scary releases, original team gone. Audit first, then stabilization, then cadence: releases went from monthly to weekly and stayed there.

Stack
Audit · Refactor · CI
Outcome
Monthly → weekly releases
Time
6 weeks
case file · C·02
C·03AI assistantAgency

CRM to drafted proposal in under 60 seconds.

An internal copilot that reads the CRM, drafts the proposal, and hands it to a human for review. The team ships proposals the same hour the call ends.

Stack
Claude · pgvector · Trigger.dev
Outcome
<60s drafts
Gate
Human review
case file · C·03
Protocol

Five phases.
Zero mystery.

  1. 01

    Discover

    Founders, ops leads, stakeholders — interviews, system walk-through, pain map.

    ~1 week
  2. 02

    Blueprint

    System map, roles, automations, AI scope, integration plan, milestones, budget.

    ~1 week
  3. 03

    Build

    Senior pods. Weekly demos. Shippable increments. No black-box months.

    4–12 weeks
  4. 04

    Launch

    Production rollout, training, monitoring, internal docs, runbook handover.

    ~2 weeks
  5. 05

    Own & improve

    Retainer: SLAs, performance, AI tuning, integrations, new feature loops.

    ongoing
Entry protocol · open

Product & Automation Discovery.

Two weeks. Fixed scope. We map product risk, automation opportunity, and technical priorities — the output is a written implementation plan, not a pitch deck.

$4,800+2 weeks · fixed · written plan
Start a discovery sprint
See sample outcomes

The brief — four questions

  1. 01What do you need help with — build, rescue, AI, ops, design?
  2. 02Live product or new build?
  3. 03Where is the current pain, concretely?
  4. 04Timeline & budget range — rough numbers get honest answers.

Transmission open

Let’s turn the scattered into a system that holds.

Book a strategy call

30 minutes · no pitch · no obligation