A technical team reviewing drawings and components around a worktable
PEOPLE / SYSTEMS / OUTCOMES

Build around the people who know the work.

ARIFTLY / APPLIED AI ENGINEERING

AI Engineering for
Complex Systems.

We use AI-native engineering to transform, connect, automate, and validate complex software, data, and technical systems.

From legacy modernization and system migration to B2B integration and AI-assisted workflows, we take complex technical work from problem to production.

ARIFTLY / SYSTEM VIEW Production path
01Legacy system
02Business data
03Partner/API
ENGINEERING LAYERTransform
Connect
Automate
04Production flow
05Validation evidence
Deterministic controlsAI where usefulHuman accountability
Technical clarity from first constraint to production handover.Transform Connect Automate Validate

FOUR CONNECTED CAPABILITIES

One architecture.
Many hard problems.

The company grows through four durable capabilities, applied to a specific system and a measurable outcome.

Legacy → modern

Change the system without losing what matters.

Modernize and migrate legacy applications, data, schemas, code and infrastructure with a controlled path to production.

Source systemTransformVerified outcome
  • Migration
  • Modernization
  • Transformation

PROBLEMS WE SOLVE

Work that cannot afford a vague answer.

  1. 01

    Move from one CRM or ERP without losing critical business data.

  2. 02

    Onboard a trading partner without another months-long EDI mapping project.

  3. 03

    Convert legacy SQL and stored procedures to a modern data stack.

  4. 04

    Modernize an application without committing to a risky full rewrite.

  5. 05

    Automate technical work that consumes senior engineering time.

ENGINEERING IN PRACTICE

Built around the people
who run the system.

Good engineering fits the operating environment: the source systems, the exceptions, the approvals and the people accountable for the result.

Engineers working together at computer workstations
01 / SOFTWARE & DATA

Technical depth,
shared clearly.

A warehouse operator working with a scanner and tablet
02 / OPERATIONS

Designed for the real workflow.

HOW WE WORK

From bounded problem
to production system.

Explore our engineering model
  1. 01

    Start with a bounded operational problem

    Define the inputs, outputs, constraints, owner and evidence that will show the work is correct.

  2. 02

    Engineer the solution

    Combine deterministic software, AI models, automation and human review according to the problem—not the trend.

  3. 03

    Deploy into the real workflow

    Integrate with the systems people already use, test failure paths and prepare the work for production operation.

  4. 04

    Compound what repeats

    Reusable mappings, connectors, validation rules and workflow patterns strengthen the technology beneath later deployments.

ARIFTLY ENGINE / IN DEVELOPMENT

Engineering once.
Building for reuse.

Scoped services solve real systems problems today. The reusable engineering behind that work is becoming Ariftly Engine: a private-first execution layer with specialized Solution Packs.

Explore Ariftly Engine
01
Transformation Engine

Schemas, code, mappings, transformations and migration logic.

02
Integration Fabric

Connectors, APIs, EDI, synchronization and orchestration.

03
Validation Layer

Testing, reconciliation, output comparison and reviewable evidence.

04
AI Execution Layer

Model orchestration, agents, reasoning and workflow automation.

05
Engineering Memory

Reusable patterns, corrections, mappings and operational knowledge.

WHERE COMPLEXITY SHOWS UP

Built for technical teams.
Across company stages.

Explore industries
01

Technology & SaaS

Platforms and software businesses modernizing products, data foundations and operational integrations.

  • Platform migration
  • API ecosystems
  • Software modernization
02

Commerce, Distribution & Supply Chain

Businesses connecting ERP, B2B, EDI, marketplace, logistics and trading-partner workflows.

  • Partner onboarding
  • Order and inventory flows
  • ERP integration
03

Financial & Business Operations

Organizations improving complex data, reconciliation, reporting and back-office system workflows.

  • Data reconciliation
  • Workflow controls
  • System migration
04

Industrial & Advanced Engineering

Technical organizations working across manufacturing, industrial software, robotics, electronics and advanced systems.

  • Engineering automation
  • System integration
  • Validation workflows
ADVANCED SYSTEMS R&D

Physical Systems & Validation

We are exploring how the same AI-engineering approach can accelerate test, validation and technical workflows for complex physical systems.

Explore a design partnership

BEFORE WE BUILD

Good questions.
Clear answers.

A few things worth knowing
before the first conversation.

What kind of project is a good fit?

A strong starting point is a migration, integration, modernization or operational workflow with a clear owner, accessible systems and an outcome that can be verified. We work with growing companies, technical businesses and larger organizations; the system complexity matters more than company size.

What happens on the first call?

We discuss the current system, the trigger for change, constraints, desired outcome and how the result should be validated. You do not need a polished technical brief or access credentials for the first conversation.

What do we actually receive?

Discovery leads to a bounded scope, success criteria and written proposal. Depending on the work, delivery may include mappings, connectors, transformed code or data, validation evidence, deployment support and operating documentation. Deliverables and exclusions are agreed before each phase.

How does pricing work?

We scope a project and provide a fixed proposal based on the workflow, integrations and operating requirements. Discovery identifies what needs to be understood before quoting. Model usage, hosting, third-party tools and ongoing support are clarified separately, so you can assess the full operating cost. There is no published starting price yet.

How long does a project take?

A focused assessment, migration wave, integration or production workflow each has a different timeline. System access, data quality, dependencies, security review and validation scope affect the plan. We agree milestones after understanding the actual system.

Is Ariftly a product company or a services company?

Ariftly is services-first today: we engineer and deploy solutions around real systems. Reusable mappings, connectors, validation rules and workflow components contribute to a growing technology layer. We do not present that layer as a mature self-serve platform before it exists.

How do you protect data and keep people in control?

We agree access boundaries, providers, retention, logs, failure handling and approval points as part of the scope. Deterministic controls and human review are used where the outcome requires them; no blanket security or compliance claim replaces a project-specific review.

Who owns the system, and what happens after launch?

Ownership, source access, third-party licences and hosting responsibilities are agreed in the proposal. Handover includes the operating documentation defined in scope. We can discuss ongoing support or a further engagement; maintenance and new features should have an explicit scope rather than an assumed open-ended commitment.

Can you work alongside our engineers?

Yes. We can agree interfaces, access, review steps and deployment requirements with your engineers and system owners. The aim is a workflow your team can understand and operate, with human responsibility kept clear.

BRING THE REAL SYSTEM

What needs to move,
connect, change or prove?

Start with a migration, integration, modernization or workflow that matters in production.

Discuss a project