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The Tribe ViewExtended reality + applied AI for oil & gas, refining, and heavy industry

The plant you can
practice on.

Every plant runs on two things: steel and judgment. The steel is well instrumented; the judgment lives in a handful of heads, travels by airplane, and retires on a Friday. We build the layer that fixes this — mixed reality that puts people inside their machinery, real-world digital twins that never go stale, and AI that remembers everything the plant has ever done — so training gets faster, maintenance gets closer, and design gets right the first time.

Training
Competence, up to 4× faster.

Immersive learners train up to four times faster than classroom, with 275% more confidence applying it — published enterprise research, not our marketing.

Maintenance
Expertise with zero distance.

Remote guidance that lifts field productivity ~25% and cuts the flights, the waiting, and the second visits — measured across industrial deployments.

Design & Upgrades
Decided against reality.

The same twin your people train on becomes the ground truth for diagnosing, redesigning, and upgrading the space — errors surface in pixels, not steel.

1.1Mixed-Reality Machinery Training 1.2The Real-World Digital Twin 1.3On-Site AR Training & Validation 2.1AR Remote Assistance 2.2The Living Twin: Diagnose & Redesign
Why this, why now

Three gaps every plant on earth lives with — and why the industry's leaders are already moving.

We build immersive and AI systems for industrial teams, and the pattern repeats in every refinery, platform, and processing facility we study. None of this is a secret. It's the physics of running complex plants with scarce experts — and the public record shows the supermajors have been fighting it for years.

1

Experience can't be scheduled.

The most dangerous moments in a plant — the upset, the leak, the emergency shutdown — are exactly the ones nobody can practice on a live unit. So training runs on drawings, CAD screenshots, and whatever hours senior people can spare, while the rarest events stay the least rehearsed. Meanwhile the industry's generational crew change means the people with the deepest abnormal-situation experience are the ones closest to the exit.

What it costsSlow time-to-competency, senior staff pulled from operations to teach, and green badges learning plant geography where the hazards are real.
2

Judgment lives in too few heads.

Ask any maintenance leader what actually diagnoses the hard failures and the honest answer is a person, not a process — the engineer who can hear a bad bearing, the inspector who remembers what this exchanger did years ago. The industry calls it tribal knowledge, and it's called that for a reason: it belongs to the tribe, not the system. It's scarce, it travels by airplane, and it walks out the gate at retirement. (We're The Tribe Team. Capturing it is literally the name on our door.)

What it costsDiagnosis waits on a flight while downtime bleeds — offshore operators average roughly $38M a year in unplanned-downtime impact — and every solved problem evaporates when the call ends.
3

Documents drift from reality.

Brownfield plants are decades of modifications deep, and the drawings quietly stop matching the pipe rack. Yet every upgrade starts from those documents — drawings to CAD to twin — often with the asset on one continent and the design desks on another. Undetected mismatches surface late, in steel, where they're most expensive to fix.

What it costsVerification trips, week-long email round-trips across time zones, and the flange that lands on a cable tray — discovered by the fitter holding it.

The demand side is already proven: one supermajor was running remote inspections of a Singapore plant from Houston through first-generation mixed reality as far back as 2018, and 360° shared immersive rooms are in daily use at peer energy majors for design reviews and inductions. The technology finally caught up to the ambition. What most operators are missing is a partner who treats this as an operating capability, not a demo.

Our Approach

XR is the body. AI is the mind. We only ship them married.

Most vendors sell one or the other: a headset demo that wows and fades, or an AI dashboard nobody in the field ever opens. Our position, learned in deployment: separately they're demos; together they're an operating capability. Every solution on this page is built as that pairing.

XR — the body

See it. Stand in it.

Mixed-reality headsets, iPads in the field, immersive 360° labs — people inside their machinery and facilities, together, at full scale, from anywhere.

×
AI — the mind

Know it. All of it.

Computer vision that recognizes equipment and validates work; engines that hold the plant's history, generate its scenarios, and assist its redesign.

=
The Tribe layer

Run it, better.

A plant your people can practice on, ask questions of, and design against — with every hour of use compounding into institutional memory.

Built for classified zones.

Immersive headsets stay in safe areas; live process units get certified devices and tablets only, per each site's hazardous-area rules. Non-negotiable, by design.

Scales down as well as up.

Everything we build runs on hardware a site already owns — an iPad, a browser — with headsets and immersive labs as the high end, not the entry ticket.

Device-agnostic on purpose.

Content and AI live in the platform and render to whatever hardware is current. The industry has already watched good use cases die with discontinued headsets. Ours won't.

Runs where your data lives.

Models, records, and AI operate inside the operator's own cloud tenancy under their identity and permissions. Knowledge systems narrow access — they never widen it.

01
Practice Area One

Training

Every crew should meet its worst day in a simulation first — and learn its machinery from the inside, not from a slide.

XR gives the world×AI gives the instructor
1.1

Mixed-Reality Machinery Training

Your heaviest machinery, at full scale, in the room — on Apple Vision Pro, Meta Quest, and the devices that come after them. Trainees walk around it, pull it apart with their hands, and step through procedures inside it. Experts join the same spatial session from anywhere and teach on the same object.

The problem, loud

You cannot learn a 40-tonne machine from a PowerPoint — and you cannot shut one down so forty trainees can crawl through it.

So the first real encounter happens on live equipment, under production pressure, with a senior operator narrating from memory. The fidelity of that moment is unbeatable; everything before it is paper. Mixed reality closes the gap: the actual CAD of the actual machine, rendered at true scale, exploded to any depth, safe to break a thousand times.

How it works
  1. We start from your engineering data. Native CAD — STEP, SolidWorks, FBX, STL — imports directly; no rebuild from scratch. High-fidelity textures preserve the detail that matters for recognition on the shop floor.
  2. We author it as a step-by-step module. Each step combines the 3D state (exploded, sectioned, animated), text, audio, and video — a procedure, not a model viewer. Sequences mirror your actual SOPs: isolation, disassembly, inspection points, reassembly, torque checks.
  3. Trainees learn hands-on. They grab components, pull assemblies apart, lean into clearances, annotate in the air. Spatial memory does what slides can't: people remember what they've physically walked around.
  4. Experts join the same session. Multi-user spatial sessions synchronize the object, the presentation step, every annotation, and every interaction — the instructor in Houston and the trainees in three sites stand around one machine and talk like they're in the same room.
  5. Everything is measured. Built-in analytics report who viewed what, which steps they repeated, where they stalled — objective evidence for your qualification framework, not attendance sheets.
In the field
  • Rotating equipment familiarization — compressors, pumps, and turbines explored to the bearing level before a trainee ever holds a wrench.
  • Turnaround pre-briefs — contractor crews walk the exchanger internals and the bolt-up sequence before mobilization, not on the critical path.
  • Vendor-equipment onboarding — new packages taught from the manufacturer's own CAD the week they're ordered, months before they land on site.
  • Offline by design — modules download to the device for remote sites, poor-connectivity zones, and travel.
4×faster than classroom training, with 275% more confidence applying the skill — PwC's landmark enterprise study of immersive learning.
~90%improvement in first-time quality, and ~30% faster builds, when AR spatial instructions replaced desktop drawings — Boeing / Iowa State University assembly study.
What we measure with youTime-to-competency vs. your baseline · first-attempt accuracy on the real task · step-level analytics (views, repeats, stall points) · instructor hours per trained person.
Watch · 8s loop

Componentry, exploded in place. Step-by-step spatial teardown of complex hardware — the format we author your machinery into.

Field photoiPad AR view of industrial machinery with interactive spare-part selection

The same content, on an iPad. A manufacturer's plant equipment in AR with tap-to-identify parts — spatial training that doubles as a parts reference in the field.

Watch · Demo
Mixed reality machinery training demo

Full-scale machinery in mixed reality. Walk around it, open it up, step through the procedure — at the fidelity trainees actually remember.

Watch · Multi-user
Shared spatial session with multiple participants

Experts in the same space. A shared spatial session — same artifact, same annotations, synchronized live for everyone in it.

1.2

The Real-World Digital Twin

Headsets aren't always the scalable answer — so we capture your actual facility as a photoreal, explorable twin that runs on the web and iPad, layer training modules directly onto it, and drive it onto 360° immersive lab screens for whole-crew sessions. Real environment. Real procedures. Zero site exposure.

The problem, loud

Most training happens in a generic nowhere — but incidents happen in a specific somewhere: your unit, your valve, your escape route.

Generic simulators teach principles. The twin teaches the place. Because it's captured from reality — not modeled from stale drawings — trainees learn the geography, the access constraints, and the hazards of the exact facility they'll walk into. And because it runs in a browser, the whole workforce can use it, not just whoever gets the headset.

How it works
  1. We capture the facility as it stands. Laser scanning, 360° imagery, and drone passes produce a photoreal, measurable copy of the unit — the version that's true, made portable. (Watch it happen in Fig. 01 below.)
  2. Training lives inside it. Operator rounds, valve line-ups, isolation walks, emergency egress — authored as guided modules the trainee performs in the real environment, from any browser or iPad.
  3. Simulation raises the stakes. We inject timed challenges with real consequences in the twin — a leak to isolate, an alarm flood at shift change, a failed pump to make safe — and the trainee must resolve it within the stipulated time, with the twin reacting to every choice.
  4. The immersive lab makes it a crew skill. The same twin drives 360° surround screens: whole teams stand inside the unit together for walkthroughs, inductions, ideation, and drills — real tools in hand, peripheral vision intact, talking like a crew. No headsets required.
  5. One capture, many lives. The twin you train on is the same asset that later powers maintenance, diagnosis, and redesign — the investment compounds instead of expiring.
In the field
  • Site-ready induction — new hires and turnaround contractors arrive already knowing the unit's layout, hazards, and escape routes.
  • Emergency drills, repeatable — the scenarios you can't stage on a live plant, run every week instead of every year.
  • Whole-workforce scale — browser delivery means the night shift in one country and the contractor cohort in another train on the identical facility.
52%cheaper than classroom at 3,000 learners — immersive training reaches cost parity at just 375 and gets cheaper from there (PwC). Browser-based twins push that curve further down.
4×more focused than e-learners, 3.75× more emotionally connected to the content — the retention profile that place-based training exploits (PwC).
What we measure with youScenario scores across repeat drills · time-to-resolve injected faults · induction throughput per quarter · % of workforce covered per unit.
Watch · Twin
Real-world digital twin walkthrough

A real facility, explorable anywhere. Photoreal capture of a working environment, navigable from any browser or iPad.

Watch · Simulation
Training simulation inside a digital twin

Modules and challenges inside the twin. Guided procedures and timed simulations running in the captured environment itself.

1.3

On-Site AR Training & Validation

The trainee walks the actual factory, points an iPad at the actual machine — and computer vision takes over: recognizing the equipment, guiding each step in place, and verifying the work was genuinely done before signing it off.

The problem, loud

Paper procedures can't see. They can't tell a trainee they're at the wrong valve — and they can't tell you the step was actually completed.

On-the-job training today is a binder, a mentor's patience, and a signature that says "trust me." Machine-learning-driven AR replaces all three: the system knows which machine it's looking at, overlays the right step on the right component, and validates completion from what the camera sees — turning every procedure into evidence.

How it works
  1. Point the camera. Computer vision recognizes the machine and its state — no QR-code hunting, no menu-diving. The right procedure loads for this exact asset.
  2. Follow the overlay. Steps anchor to the physical components: this valve, this fastener, this gauge — with tolerances, warnings, and reference media in view.
  3. The system checks the work. Vision-based validation confirms the step was done — the guard replaced, the position correct — before the procedure advances. Wrong or skipped work gets caught in the moment it happens, not at the audit.
  4. The record writes itself. Every validated step files with imagery and timestamps — training evidence and as-done documentation in one pass.
In the field
  • Operator rounds & routine checks — guided, validated, and consistent across every shift and every site.
  • Spare-part identification — tap a component in AR to identify it and pull its part number, as in the field photo above; ordering errors drop with it.
  • Contractor quality during turnarounds — thousands of temporary hands, all working the standard, all leaving evidence.
25%cut in wiring production time with error rates reduced effectively to zero — Boeing's guided-AR program, a result its senior manager called a step-function change.
3 wks → 3 daysfor aircraft bracket inspection when tablet-based vision checking replaced manual comparison — Airbus.
What we measure with youFirst-attempt pass rate on validated steps · deviations caught in-step vs. found later · time per procedure vs. paper baseline · evidence completeness at audit.
Watch · Guided AR
On-site AR guidance and validation demo

The machine teaches itself. Camera on equipment → recognition → step-by-step guidance anchored in place → vision-validated completion.

02
Practice Area Two

Maintenance & Design

Your best specialist at every machine without a flight — and a twin that remembers every failure, so upgrading the plant starts from truth instead of folklore.

XR gives presence×AI gives memory
2.1

AR Remote Assistance

An upgrade to the video call. While the technician films the problem, the system reconstructs the space in 3D — so the expert on the other side of the world annotates in the space itself, and those marks stay anchored to the exact wire, valve, or housing they were drawn on. The fix happens in a fraction of the cost of a flight.

The problem, loud

When a critical machine misbehaves, the choice today is a specialist's flight or a half-blind repair over a shaky phone camera.

Flying the expert costs days and thousands per trip — and offshore, a bed and a helicopter seat besides. The phone call costs accuracy: "the second valve from the left" is how mistakes get made. Anchored 3D annotation removes the ambiguity: the expert doesn't describe where — they point, in the technician's own space, and the pointer stays put.

How it works
  1. The technician starts a call from the machine. Phone or tablet — hardware the site already owns. No headset dependency, no special kit shipped ahead.
  2. The system builds the space live. As the camera moves, it reconstructs a 3D understanding of the scene — the machine, its piping, its panel — in real time.
  3. The expert annotates in 3D. Circles, arrows, and tags drop into the reconstructed space and lock to the physical objects. The technician moves; the annotations don't. "This terminal. This fastener. In this order."
  4. The fix proceeds systematically. Step by step, with the expert seeing exactly what the technician sees, thermal and detail shots on demand, and every annotation persisting through the job.
  5. The session becomes a record. Captured, timestamped, and filed — the diagnosis and the repair, reusable the next time this failure mode appears anywhere in the fleet.
In the field
  • 2 a.m. compressor trips — the machinery specialist is present in minutes, not after the next available flight.
  • OEM support without the visit — vendor experts walk site technicians through warranty work with anchored precision, no travel invoice attached.
  • Offshore & remote assets — where every visiting body costs a bed, a seat, and a survival cert, presence-without-travel changes the economics entirely.
  • Turnaround surge support — scarce specialists cover multiple crews across sites in a single shift.
+25%field technician productivity, and +30% for the remote experts supporting them — Forrester Total Economic Impact research on mixed-reality remote assistance and guided work.
$38Maverage annual unplanned-downtime impact for an offshore oil & gas operator (Kimberlite) — the clock this solution is racing.
What we measure with youTime from fault to expert-on-scene · first-visit fix rate · expert travel days avoided · mean time to repair on covered assets.
Watch · How it works
AR remote assistance with anchored 3D annotations

The AR layer on a video call. Live 3D reconstruction of the technician's space, with annotations that anchor to real equipment.

Watch · Live session
Demo remote assistance call end to end

A real remote-assistance call, end to end. Fault to fix — expert and technician working the same space from different continents.

2.2

The Living Twin: Diagnosis, Redesign & Upgrade

The twin your people trained on grows up. We load it with the asset's full history — every work order, every failure, every fix — and put AI on top: helping diagnose what's wrong, propose upgrades, and redesign or re-plan the space inside the twin itself. One capture, three lives: train, maintain, redesign.

The problem, loud

"Has this pump done this before?" is answered today by a retired inspector's memory, a binder, or a message thread — and redesigns start from drawings that stopped matching the plant years ago.

Both problems have the same root: the plant's knowledge and the plant's geometry live apart from each other and from the people who need them. The living twin fuses them — the photoreal space, the equipment data, and the maintenance history in one place an engineer can stand inside and an AI can reason over.

How it works
  1. The training twin becomes the record of truth. The same capture from 1.2 — already paid for — is enriched with asset tags, documents, and the full issue history from your maintenance systems.
  2. AI reasons over the history. Ask it, in plain language, at the machine or at a desk: this failure mode, on this model — what's the pattern, what fixed it, which work orders say so? Answers arrive with sources, inside your own cloud tenancy, respecting your permissions. Where the record is silent, it says so.
  3. Diagnosis happens in context. Symptoms, sensor trends, and history are examined in the twin — on a screen, on the immersive lab walls, or in a shared spatial session with specialists dialed in from anywhere.
  4. Redesign happens against reality. New elements are placed and clash-checked against the captured space — not against a drawing's memory of it. Access, reach, and maintainability get judged at full scale before anything is fabricated. Legacy drawings feed in too: modern vision AI extracts the bulk of a P&ID set automatically, with every element human-verified.
  5. The loop closes. Every completed job, every modification, every re-scan refreshes the twin — so the next diagnosis and the next upgrade start from today's truth, not last decade's.
In the field
  • Fleet-wide failure patterns — the AI surfaces that this seal fails the same way at three sites, before the fourth finds out the hard way.
  • Brownfield upgrades — new skids and routing designed inside the scan; the flange never meets the cable tray, because the cable tray was in the model.
  • Knowledge that outlives careers — retiring experts' judgment captured into the twin's memory instead of walking out the gate.
70–80%of legacy engineering-drawing content extracted automatically by industrial vision AI — every element human-verified — compressing near-year-long digitization into weeks.
1 twin, 3 livesthe economics that make this program different: the capture you buy for training is the asset you diagnose with and design in. The investment compounds instead of expiring.
What we measure with youAI answers rated useful, with source · diagnosis time on covered assets · clashes caught in-model vs. found in steel · design cycle time per modification.
Life 1 · Train

Learn the place

Crews master the real unit — its geography, hazards, and procedures — inside the twin, before day one.

Life 2 · Maintain

Ask the place

History-aware AI diagnosis, in context, with sources — at the machine or in the lab.

Life 3 · Redesign

Change the place

Upgrades placed and proven against captured reality — errors surface in pixels, not steel.

Proof, not adjectives

The numbers on this page are real. Here's where every one of them lives.

Published research, documented industrial deployments, and the public record of the energy majors. We don't print a metric we can't point to.

4×faster than classroom

Immersive learners trained up to 4× faster, were 275% more confident applying skills, 4× more focused than e-learners, and 3.75× more emotionally connected to the content.

PwC · Enterprise VR training study
25%faster builds, ~zero errors

Boeing cut wiring production time 25% with error rates reduced effectively to zero using guided AR — "a step function change." A Boeing/Iowa State study separately found ~90% better first-time quality with AR instructions.

Boeing · Upskill case study; Iowa State study
+25%field productivity, +30% experts

Forrester's Total Economic Impact research on mixed-reality remote assistance and guided work measured ~25% productivity gains for field technicians and ~30% for the remote experts supporting them.

Forrester · TEI, mixed reality
$38Ma year — the cost of standing still

Average annual financial impact of unplanned downtime for an offshore oil & gas operator. Faster diagnosis and rehearsed execution need no exotic assumptions to matter against that.

Kimberlite research, cited in GE analysis
3 wks
→ 3 daysvision-checked inspection

Airbus reduced aircraft bracket inspection from three weeks to three days with tablet-based image recognition — the same class of computer vision that powers our on-site validation.

Airbus · published deployment
Working with us

We start with training. On purpose.

Not because it's easiest — because it's the smartest sequence. Training proves value in weeks, touches zero live operations, carries the strongest third-party evidence in the field, and its first deliverable — your captured machinery and facility — is the exact asset maintenance and redesign run on next. Each phase pays forward what the next one needs.

Phase 0 · Weeks 1–3

Discover & baseline

One unit. One machine family. Real numbers.

We pick the pilot scope with your operations, training, and HSE leads; run the capture campaign; clear IT security and hazardous-area rules while they're cheap to clear; and baseline today's metrics — so improvement is provable on your data, not our brochure.

Phase 1 · Weeks 4–12

Prove it with training

First cohorts through. Measured against baseline.

Your machinery authored into mixed-reality modules, the facility twin live with its first guided procedures and one timed simulation, on-site AR validation on a chosen routine — and cohorts trained, scored, and surveyed. The phase ends with a readout your leadership can take a scaling decision on.

Phase 2 · The next quarter

Extend to maintenance & design

Same twin. New superpowers.

AR remote assistance rolls out to the technicians who'll live in it; the twin ingests the asset's issue history and the AI layer comes online — in shadow mode until its answers earn trust; and the first real redesign is placed, clash-checked, and reviewed inside the captured space.

Then

Scale what earned it

A playbook, not a heroic effort.

Capture, author, train, connect — a repeatable per-site kit, with immersive labs where cohort volume justifies them and a shared library that gets smarter with every site added.

Where programs like this fail — and how ours are built not to.

Failure mode 01The workforce shrugs.
Adoption is designed, not hoped for: tools on hardware people already know, champions chosen from respected hands, and nothing measured that doesn't help the worker. Pilots are sized so that if crews don't want it by week four, hearing that is affordable.
Failure mode 02Connectivity in industrial units is patchy.
Everything ships offline-first — modules, twins, and procedures staged on the device, streams degrading gracefully to store-and-forward. Where live coverage matters, Phase 0 tests it before anything is promised on it.
Failure mode 03Legacy data is worse than anyone admits.
Assumed from day one. That's why the design basis is the capture — ground truth — why AI extraction is always human-verified before it's trusted, and why the knowledge layer cites sources and says "I don't know." Bad data gets exposed and fixed, never laundered.
Failure mode 04AI overreach in a safety-critical world.
Hard boundaries, in writing: AI guides, retrieves, simulates, and flags. It does not approve designs, close permits, or certify competence — qualified people do, inside your existing management-of-change and qualification processes. Every AI output is attributable and logged.
Start here

Bring us one machine, one unit, or one stubborn problem.

That's how every engagement we run begins — not with a platform decision, but with a single asset and an honest test. Here's what the first month looks like:

  • A 30-minute conversation. You describe the training bottleneck, the machine that keeps failing, or the upgrade you're dreading. We tell you — candidly — whether XR and AI move the needle on it, and how we'd prove it.
  • A scoped pilot, in weeks. One unit captured, one machine authored, first cohort through — measured against a baseline we set together before any technology arrives.
  • A decision made on evidence. Scale what earned it. Stop cheap on what didn't. Either way, you keep the captured asset and the data.
The Tribe Team
Talk to us

Nithin Prakash Motupalli

Chief Executive Officer, The Tribe Team

The Tribe Team builds immersive environments and applied-AI systems that make industrial expertise travel — so the best knowledge in a company reaches every site, every shift, every day.

Contactnithin@thetribe.team · +91 905 906 89 86 · thetribe.team
We work withMuseums · Defence · Real estate · Oil & gas · Refining · Petrochemicals · Heavy manufacturing · Energy infrastructure