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ARIFTLY LABS / AI ENGINEERING

AI engineering for
complex
workflows.

We apply AI and software to high-value technical work across engineering, test, validation and quality—turning data from complex physical systems into concrete, review-ready outcomes.

Book a callExplore our work
Illustrative system viewARIFTLY / PHYSICAL SYSTEMS
TriggerTest dataset uploaded
CONTEXT Test runs Hardware revisions Station metadata
AGENT WORK
  1. 1Normalize test results
  2. 2Cluster recurring failures
  3. 3Compare revision patterns
Human reviewTest engineer
Concrete outputInvestigation-ready reportCorrelations stated without causal claims
Scoped accessSource-linked evidenceApproval recorded
Built for teams developing complex physical systems.Connected systems Human judgment Measured results

SELECTED WORKFLOW AREAS

Complex work.
Clearer decisions.

For teams building complex physical systems.
Start with a bounded workflow and the evidence it depends on.

BUILT AROUND REAL OPERATING CONSTRAINTS
  • 01 Work with your existing systems
  • 02 Ground outputs in supplied evidence
  • 03 Put judgment at the right checkpoint
  • 04 Measure the outcome after launch
ILLUSTRATIVE WORKFLOW MAP

Engineering evidence, connected before the decision.

Context syncing
HW / FW revisions
Test results
Quality records
Device history
Firmware changes
ARIFTLY ANALYSIS LAYERConnect test, configuration and change context.

Calculate the evidence, make it reviewable, and expose the gaps.

Source-linked Traceable
HUMAN REVIEWTechnical owner decidesApproval checkpoint active
CONCRETE OUTPUTEvidence, investigation priorities and an accountable handoff.Ready when a human approves
01

Connects test evidence to device, revision and station context.

02

Surfaces patterns and missing evidence before engineers investigate.

Source systems vary by engagementHuman approval is designed inOutcome is measured against a baseline

Areas to explore, not finished products or client case studies.

Explore the details

FROM DISCOVERY TO PRODUCTION

Built for your work.
Ready for real systems.

What an engagement includes
ILLUSTRATIVE TECHNICAL WORKFLOW

The agent does the legwork.
Your team keeps the judgment.

A professional reviewing work at a laptop in a quiet studio
More space for the work only people can do.
Example sequenceTechnical RFQ
TriggerNew RFQ received
  1. Gather contextRFQ, specifications and approved product data
  2. Prepare the next stepResearch, check rules and form a recommendation
  3. Ask for human judgmentPause where context, risk or nuance matters Ready for review
  4. Complete and recordTake the approved action and leave a trace
Response prepared for reviewEvidence recorded · technical owner decides
Example workflow · Your systems and rules will differ Human approval built in
  1. 01

    Discovery

    Understand the team, systems and decisions behind the work.

  2. 02

    Find the high-value workflow

    Choose the repeatable problem with real cost and a clear owner.

  3. 03

    Define scope and success

    Agree the data, boundaries, approvals and metric before building.

  4. 04

    Prototype or pilot

    Test the workflow with a narrow, representative slice of real work.

  5. 05

    Build and integrate

    Connect the agent to existing systems with oversight and failure handling.

  6. 06

    Measure the outcome

    Compare the result with the baseline and improve what matters.

Existing systems, connectedHuman approval where neededOutcomes measured against a baseline

WHAT THE WORK LEAVES BEHIND

Clear evidence at every stage of the work.

01

Workflow map

The trigger, handoffs, systems and outcome—made clear before we build.

02

Agent design

Defined tools, permissions, instructions and decision boundaries.

03

Control plan

Approvals, fallbacks, logs and tests for the moments that matter.

04

Handover pack

A pilot or working system, operating guidance and a practical path to improve it.

Illustrative scene of two people mapping a workflow together at a sunlit table
Good work starts with a shared understanding.

THE IDEA BEHIND ARIFTLY

Good work shouldn’t
get lost in between.

Between your tools. Between your teams. Between a good idea and getting it done.

Ariftly stands for working without those gaps. We connect the tools, decisions and actions so your people can focus on what they do best.

Let’s build that connection

ARIFTLY AGENTS / IN DEVELOPMENT

Focused agents for the work that matters.

Ariftly Agents is our future home for reusable test and validation tools built around complex physical systems. Learn what we are building toward.

Discover Ariftly Agents

BEFORE WE BUILD

Good questions.
Clear answers.

A few things worth knowing
before the first conversation.

Is Ariftly Labs right for us?

Labs is for teams building complex physical systems, with valuable technical work spread across test data, engineering changes and operational tools. Hardware test analysis, release evidence, quality investigation, technical RFQs and field service are examples. A good starting point has accessible data, a workflow owner and an outcome we can measure.

What happens on the first call?

In 30 minutes, we discuss one workflow, the systems involved and where your team loses time. We explore whether automation is a sensible fit and what information a scoped proposal would need. You do not need a technical brief or access credentials for this conversation.

What do we actually receive?

Discovery leads to a defined workflow, success metric and scoped next step. That may be a prototype or pilot first. A production engagement can then cover integrations, approval rules, testing, deployment 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?

Discovery, a narrow pilot and a production build have different timelines. Integration complexity, data quality, access and security review affect each one. We agree milestones and dependencies after understanding the workflow rather than promising a timeline in advance.

Is Ariftly Agents already a product we can buy?

Ariftly Agents is in development. There is no self-serve offering today. If your team has a specific workflow to improve now, Ariftly Labs can discuss a scoped engagement.

How do you protect our data and keep people in control?

We agree which data the workflow can access, which providers it uses and which actions need approval. Sensitive actions and uncertain results can be routed to a person. Retention, access boundaries, logs and failure handling are scoped to your requirements; no blanket security or compliance guarantee replaces that 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.

LET’S MAKE ROOM FOR BETTER WORK

Where does complex work
get stuck?

Bring us a test, validation, quality or engineering workflow from your physical-product environment.
We’ll explore whether AI and software can create a measurable result.

Book a callSend us a note

30 minutes to explore one workflow and a practical next step.