Ridgeline AIAn Element 29 Company

// Model the mission. Move the decision.

Operational and physical AI for defense, industrial, infrastructure, and commercial operators - connecting enterprise data, field work, and physical sensing into governed applications teams can actually act on.

What machines perceive · What operators know · What the mission allows

Request a Briefing Explore Applications

Made in USADesigned, engineered & supported stateside

GSA MAS 47QRAA26D0058

115+ yrs operating experience

E29X TECHNOLOGIES · OT/ICS · Edge · Mission Systems

Ecosystem →
Aerial view of an industrial substation and pipeline corridor at dusk

// 01 / the hard part

Ten source systems. Zero shared context.

Alarms fire. Nobody agrees what happened.

Decisions wait days for a defensible answer.

Source · 01 / 06

Enterprise

Cost, finance, contracts, and approvals context.

Example systems
  • ERP
  • Financial systems
  • Procurement
Source · 02 / 06

Operations

Assets, tasks, crews, and maintenance history.

Example systems
  • CMMS / EAM
  • Work orders
  • Scheduling
Source · 03 / 06

Sensor / Edge

Real-time telemetry and physical perception from the environment itself.

Example systems
  • SCADA / OT / ICS
  • Historians
  • Vision · lidar · thermal
Source · 04 / 06

Field

Ground-truth observation from operators and capture systems.

Example systems
  • Inspections
  • Field reports
  • Autonomous capture
Source · 05 / 06

Documents

Institutional knowledge and reference material.

Example systems
  • Procedures
  • Manuals
  • Prior decisions
Source · 06 / 06

Data Platforms

Aggregated analytics, geometry, and integrations.

Example systems
  • Cloud warehouses
  • GIS
  • APIs

Scroll · Enterprise · 01 / 06

Operator in a mission operations center facing a wall of live telemetry

// 02 / mission model

Live signal from every system, unified.

Models reason against the mission, not the dashboard.

Every action carries lineage, policy, and approval.

02 / the mission model

One model. Every source. Every decision.

Fragmented systems reconcile into a single operational ontology, then land as governed, operator-in-loop decisions.

Swipe up to advance · 03 stages

Section 02 - Mission Model - stage status
Stage Status01 / 03 // Source Fragmentation
ERPCMMSSCADAGISWORK ORDERSDOCUMENTSSENSORSMISSION MODELAssetsPeoplePlacesTasksRisksCostsApprovalsDecisionsDECISION ROOMSIGNALAsset trend anomalyEVIDENCESCADA · WO · InspectionIMPACTSite B · Risk ↑ · Cost ↑RECOMMENDSchedule maintenanceAPPROVEROperations leadSTATUSApproved · operator-in-loop
↑ Swipe up ↑
  1. Stage 01 · Source Fragmentation

    Disconnected systems - ERP, CMMS, SCADA, GIS, sensors - operating in isolation.

  2. Stage 02 · Unified Mission Model

    Sources reconcile into a single operational ontology - Assets, People, Places, Tasks, Risks, Costs.

  3. Stage 03 · Governed Decision

    Signal lands as a recommendation with full evidence chain, impact, and operator-in-loop approval.

// Built for governed operations

Built for governed operations.

Ridgeline Mission Operations is being productized on Palantir Foundry and AIP to unify enterprise data, operational systems, field activity, documents, media, and physical signals within a governed operational ontology.

The platform gives executives, managers, engineers, and field teams a shared operating picture — then uses bounded AI agents, permissioned workflows, and human approvals to move from signal to evidence-backed action.

Ridgeline can connect to existing customer environments, including ERP, CMMS, CRM, Domo, Databricks, cloud platforms, files, APIs, and operational systems, without making those upstream systems the user experience.

01

Operational Ontology

Connect assets, facilities, people, work, risk, evidence, obligations, and decisions in one shared operational model.

02

Governed AI Agents

Investigate cross-system issues, assemble supporting evidence, recommend interventions, and operate within defined permissions.

03

Human-Authorized Action

Route consequential actions through accountable users, approvals, audit history, and system-of-record writeback.

04

Mission Applications

Deliver executive command views, manager workspaces, field workflows, inspections, and mobile operational experiences.

Swipe capabilities · 01 / 04

// Architecture

signal → evidence → authorized action

  1. 01

    Operational data sources

    ERP · CMMS · CRM · Domo · Databricks · cloud · files · APIs · sensors

  2. 02

    Palantir Foundry / AIP

    Governed data, ontology, and agent runtime

  3. 03

    Ridgeline Mission Operations

    Product · domain logic · applications · experience

  4. 04

    Operators, managers, executives

    Human-authorized action with audit history

Ridgeline AI is an independent company. Palantir, Foundry, AIP, and Databricks are trademarks of their respective owners. No partnership, endorsement, or sponsorship is implied.

Explore Ridgeline Mission Operations →Request an operational design sessionView the platform architecture →
03 / physical ai

Physical AI →

Operations run on machines, sites, and crews. Ridgeline extends the same governed layer to sensing, computer vision, autonomy, and edge inference - so what the environment reveals becomes context an operator can act on, with lineage from sensor frame to signature.

Compressor station at dusk viewed through a perception system
Compressor A-17 · 0.96
Thermal anomaly · 0.88
Flange · corrosion · 0.74
perceive · site cam 04raw frame

Streaming 30 fps from the compressor yard.

vibration

7.4 mm/s

case temp

94 °C

frames

30 fps

latency

38 ms

Ruggedized edge compute unit mounted in an industrial enclosure

interpret · at the edge

Signal becomes evidence before it leaves the site.

Detections resolve against the asset, the crew, and the procedure - then carry the frame, sensor, model version, and confidence that produced them.

  • 01Frame capturedsite cam 04 · 30 fps
  • 02Detection resolvedCompressor A-17
  • 03Recommendation raisedoperator review
  • 04Action authorizednamed human
Swipe the scene · 01 / 02

01

Perceive

Cameras, lidar, thermal, acoustic, vibration, GNSS, and OT/ICS telemetry captured where the work happens.

02

Interpret

Edge inference turns raw signal into detections, states, and anomalies before anything leaves the site.

03

Model

Detections resolve against the mission ontology - the asset, the crew, the location, the procedure, the risk.

04

Decide

Reasoning is bounded by policy and evidence, and produces a recommendation an operator can interrogate.

05

Act & prove

Approved actions route into the systems of record with full lineage from sensor frame to signature.

Swipe the stack · 01 / 05

Governance wraps every layer · perception is evidence, action is authorized

// FDE · Forward Deployed Engineering

Engineers on your site. Week one.

A three-person pod embeds where the work happens — maps the mission, ships working software in weeks, and owns the outcome through production hardening.

The pod playbook →

01 · LEAD

Forward Deployed Engineer

  • Owns the mission workflow
  • Ships working capability week one

02 · MODEL

Ontology Architect

  • Maps assets, actors, events
  • Reconciles fragmented systems

03 · FIELD

Operator Liaison

  • Shadows real operators
  • Closes the feedback loop

// Cadence · scroll to advance

  1. W0

    Recon

  2. W1

    Stand-up

  3. W2

    Prototype

  4. W3

    Cut-over

  5. W4+

    Handoff

// Proof

Pod size

3

First cutover

Weeks

Backed by

Element 29

Contract path

GSA MAS

Ridgeline engineer working alongside an operator in the field

// 05 / team

Operators and engineers - deployed forward.

115+ years operating experience. Zero demo-ware.

Ridgeline is delivered by operators and engineers who have run plants, programs, portfolios and mission systems - not a staffing bench. Small senior teams, deployed forward, accountable to the same result you are.

115+

Years of operating experience, combined

Five senior people - not a staffing bench. Averaging 23 years each in the plants, programs and mission systems Ridgeline is built to run.

  • Power & utilities
  • Water & wastewater
  • Defense & federal programs
  • Manufacturing
  • Infrastructure & capital projects
GSA MAS
47QRAA26D0058 · federal contract vehicle
P.E.
Florida-licensed professional engineer on the bench
USAF
commissioned officer · mission-systems discipline
FDE
pods embedded on the operator's site

Reverse org structure · the people in the work sit on top

Frank Shines, Principal - Operations & Delivery, Ridgeline AI0130+ yrs

Frank Shines

Principal - Operations & Delivery

Turns operating pressure into deployed decisions.

  • MBA · CAPT, USAF
  • 30+ yrs delivery & transformation
  • CAPT, USAF · Air Force Academy
  • Lean Six Sigma Master Black Belt
Full dossier
Zara Poulakidas, Principal, Product & Systems Architecture · FDE Lead, Ridgeline AI0210+ yrs

Zara Poulakidas

Principal, Product & Systems Architecture · FDE Lead

Runs the forward deployed pods in the field.

  • EI · ChE
  • FDE lead · on-site pods
  • 10+ yrs capital projects & controls
Full dossier
Kyu Park, Strategic Advisor - Intelligent Infrastructure, Industrial AI & Applied Data Science, Ridgeline AI0330+ yrs

Kyu Park

Strategic Advisor - Intelligent Infrastructure, Industrial AI & Applied Data Science

Grounds the model in controls, sensing and edge.

  • M.S.ECE · M.S.CS
  • M.S. ECE · M.S. CS
  • 30+ yrs computing, controls & infrastructure
Full dossier
Carlo Canezo, P.E., Strategic Advisor - Physical AI, Robotics & Simulation, Ridgeline AI0415+ yrs

Carlo Canezo, P.E.

Strategic Advisor - Physical AI, Robotics & Simulation

Proves the physics before anything ships to the field.

  • P.E. · M.S.M.E. · B.S.M.E.
  • Florida-licensed P.E.
  • Robotics researcher · Georgia Tech
Full dossier
Swipe the bench · 01 / 04

Senior bench · deployed forward · accountable to the result

Bill Cassidy, FOUNDER & CEO, ELEMENT 29, E29X TECHNOLOGIES · RIDGELINE AI EXECUTIVE SPONSOR, Ridgeline AI05 / stands behind it30+ yrs

Bill Cassidy

FOUNDER & CEO, ELEMENT 29, E29X TECHNOLOGIES · RIDGELINE AI EXECUTIVE SPONSOR

“Executive sponsor for Ridgeline AI's federal posture, engineering discipline, and operator-grade delivery bar.”

Sets the mission and stands behind the outcome.

  • BSEE
  • 30+ yrs industrial + mission-critical
  • Founder/CEO · 3 operating entities
  • GSA MAS sponsor
Full dossier
Meet the team How the FDE pod works Open roles
Field engineer holding a ruggedized tablet on a refinery catwalk at golden hour

// 06 / surfaces

Control room, field, executive, edge.

One picture. One workflow. One truth.

01

Industrial

Risk Card

02

Defense

Decision Room

03

Commercial

Facilities Ops

04

Infrastructure

Network Ops

Risk Card · Compressor A-17
Awaiting review
Industrial sensor hardware monitoring compressor vibration
Risk · elevatedSCADA · live

Asset · Plant 04 · Bay 2

Compressor A-17

A maintenance-ready action card that turns abnormal vibration into a routed, auditable decision.

Signal

Abnormal vibration trend

+38% · 24h
vibration · rmsthreshold breach
Recommendation

Inspect within 48h; pre-stage seal kit P-2231.

Impact

Downtime

~ 6.2h avoided

Approver

Maint Lead

ready to route

Evidence · 4 sources

SCADA

vibration

Historian

30d band

WO-8821

prior repair

Inspection

2024-11

scroll to move through surfaces

07 / sectors

All sectors →
Defense & Readiness

// 01 / Sector

Defense & Readiness

Readiness signals - assets, personnel, training, parts, maintenance, facilities - live in disconnected systems, so leaders see a picture that's already stale.

Hover to reveal stack →

// 01 / Defense & Readiness

Relevant applications

Readiness Command Center · Program Performance Cockpit · Maintenance Intelligence

Typical systems

Asset records · Personnel & training · Maintenance · Inventory · Schedules · Budgets · Compliance records

Decisions improved

Readiness posture · Gap mitigation · Mission-specific tasking · Program execution

Explore sector →
01 / 08
08 / applications

All applications →
Readiness Command Center - mission application preview
APP / 01Defense & Readiness

Readiness Command Center

Readiness depends on assets, personnel, training, maintenance, budgets, parts, facilities, and schedules. These signals live in disconnected systems, so the picture is always days behind the decision.

Connects

Asset recordsMaintenance dataPersonnel & training statusSchedules

Mission Model nodes

PeopleAssetsDecisionsSignals
Decision improved→
01 / 08

07 / decision tree

Trace one mission decision from signal to approved action.

Scenario

    • SCADA vibration stream
    • Historian trend, 90 days
    • Prior work orders & inspections

Governance

  • Policy
  • Authority
  • Evidence
  • Lineage
  • Human approval
Edge computing rack with glowing indicators in a dim server aisle

// 10 / platform

Ingest, reconcile, reason, act.

Runs at the edge. Governed from the core.

01

Connect

Systems, data, sensors, perception, documents.

02

Model

Assets, people, places, tasks, risks, environments.

03

Act

Copilots, workflows, decision rooms, field dispatch.

04

Govern

Human-in-loop, lineage, audit.

Swipe layers · 01 / 04

Governance wraps every layer · full chip-level detail on /platform

See the platform How we build Physical AI extension
Operator working with mission systems at night

// 11 / proof

Minutes to decision - not days.

Every recommendation, fully traceable.

Time-to-decision

minutes

From signal to approved action - replacing multi-day cycles.

Source systems unified

multiple

SCADA, ERP, CMMS, GIS, claims, portfolio, work orders. One picture.

Decisions with full lineage

end-to-end

Every recommendation traceable to source, model, and approver.

Swipe proof · 01 / 03
Edge compute rack inside an industrial facility

// 12 / ecosystem

Hardware-enabled AI, engineering execution, and capital - one structure.

Ridgeline AI is the mission-application layer on top.

// Operating company
ELEMENT 29 LLC

ELEMENT 29 LLC

Engineering execution · systems integration · project delivery

Operating company for engineering, systems integration, and field delivery. GSA MAS Schedule holder · 47QRAA26D0058.

Visit site // Technology arm
E29X TECHNOLOGIES

E29X TECHNOLOGIES

Hardware-enabled AI · sensing · autonomy · edge compute

Platform-based technology arm. Sensing, autonomy, edge compute, and AI-enabled hardware platforms.

Visit site // Investment arm
E29 VENTURES

E29 VENTURES

Product incubation · commercialization · new market creation

Investment arm accelerating innovation across critical infrastructure, AI, and defense technology.

Visit site // Parent organization
E29 HOLDINGS GROUP

E29 HOLDINGS GROUP

Strategic parent · governance · long-term alignment

Strategic parent organization. Governance, IP stewardship, and capital alignment across the ecosystem.

Visit site
Swipe · 01 / 04
Explore the ecosystem →

13 / Newsroom

Official announcements

Latest from Ridgeline AI.

All press →

// Bring us your hardest operational problem

Turn fragmented operations into governed decisions.

Request a Briefing