Week 1One week to a go or no go — no commitment

We measure the processbefore we build.

Simplx is a digital engineering company for enterprises. We take a baseline on the process you run today, design what should replace it, then build and operate that in your production environment.

A baseline before any codeLive for one team by week 13You own what we build

Isometric illustration: a caliper measures an enterprise system of connected services, databases, cloud and integrations, rebuilt as clean software running in production.

Built on the platforms your business already runs.

awssalesforceAzureSAPOpenAI
The Difference

Most firms hand you a slide deck. We take 100% ownership of the engineering lifecycle, from business discovery to building, deploying, and maintaining production-ready software.

100%Full IP & Code Ownership
99.9%Production SLA Commitment
Autonomous AI engineering robotic intelligence
Discovery → ProductionEngineering Accountability
Verified
Principles

Four things you can hold us to

Each one is checkable against the engagement itself

A baseline before any code

Cycle time, error rate or cost per transaction, measured first, so an improvement can be shown rather than claimed.

Live by week 13

One real team using production software daily, instrumented against that baseline.

A stop decision at every stage

Four points where we will recommend stopping if the numbers do not support going on, including after week one.

You own what we build

Code, infrastructure and documentation are yours, with a defined exit in every engagement.

The method

Four stages, each ending in a decision you make with measured information

The specialist work sits inside these stages. There is no separate AI phase to walk through.

    Engineering & development

    Enterprise applications, microservices and APIs, event driven systems, workflow engines, customer portals, internal tools.

    AI enablement

    Knowledge assistants over your own content, document processing, forecasting models, intelligent routing, agents that coordinate work across systems.

    Workflow automation

    Approvals, invoice processing, procurement, onboarding, quality validation and compliance, as event driven workflows.

    Integration engineering

    ERP, CRM, HRMS, financial and manufacturing systems, IoT and third party APIs, connected so data moves without anyone re keying it.

    Cloud, DevOps & data

    Migration, Kubernetes, CI/CD, observability, cost control, security hardening, disaster recovery that has been tested. Pipelines, lakes and warehouses, real time and predictive analytics, operational and executive dashboards.

    Responsible AI

    AI goes in where it moves a number and the failure mode is acceptable.

    Where ordinary rules do the job we use rules, because they cost less and audit more easily. Every AI system we ship is evaluated against real cases before launch, measured after, kept behind a human checkpoint and a full audit trail, and can be switched off without stopping the business around it — with clear rules on what the system sees and what never leaves your environment.

    Agentic Workflows

    Coordinating complex tasks across enterprise tools

    Multi-step agents that read incoming requests, validate data against business rules, query ERP/CRM databases, and trigger verified actions with human oversight checkpoints.

    • Autonomous ticket triage & dispatch
    • Automated invoice validation & ERP posting
    • Human-in-the-loop review guardrails
    Customer Request
    AI Agent Core
    ERP Auto-Sync
    Checkpoint: Human-in-the-loop review before any action

    Try a workflow simulation

    See how a customer order moves from intake to verification to ERP posting:

    1. Understand 2. Decide 3. Act

    Click to simulate invoice verification and ERP auto-post.

    Frequently asked questions

    What buyers ask before anyone signs anything.

    Still have a question? Talk with our engineering architects.

    [email protected] Book a fit check