Industrial FrontierLab → Scale

Industrial Frontier

Industrial Frontier closes the gap between breakthrough technology and commercial scale.

Deep tech does not stall for lack of science. It stalls for lack of process and structure. That is what we build.

Technical and operations consulting for research programs, pilot and commercial plants, manufacturing lines, and the organizations that run them.

Discuss a Project See What We Work On
VC / PE DiligenceTechnical diligence, market reports, and expert advisory for funds
Stage
Pre-seed through Series C
Sectors
Minerals · Water · Gas Storage and Separations · Advanced Materials
Founder
Angelo Kirchon, Ph.D.
Scale-up pathwayFig. 01
  1. 01

    Science

  2. 02

    Bench process

  3. 03

    Pilot/Demonstration

  4. 04

    Commercial

01Lab
02Pilot
03Demo
04Scale

The Gap

A technology can work in the lab and still fail on the way to market.

The hardest part of deep tech is rarely proving that something works. It is turning that result into a process, product, facility, team, supply chain, and operating system that performs every day at cost.

The failures almost never happen inside a stage. They happen in the handoffs between them.

Industrial Frontier works inside that transition, identifying what will break before it breaks.

Fig. 02 · Commercial readiness pathwayValue created in the gaps
  1. 01

    Lab

    Does the science work?

    handoff
  2. 02

    Development

    Can it work consistently?

    handoff
  3. 03

    Pilot

    Can it run outside the lab?

    handoff
  4. 04

    Demonstration

    Can it survive real operating conditions?

    handoff
  5. 05

    Commercial Scale

    Can it perform reliably, safely, economically?

Experience

We have crossed this gap twice. From the inside.

Two venture backed companies. Two industries. The same problem both times: the technology worked, and a company had to be built around it fast.

Employee #7 to Operations Executive

EnergyX

Lithium extraction · Minerals and water · 2021 to 2025

Director of Research → Senior Director of Operations

Held the most senior operations role in the organization, managing a team of 40+ people with 5 to 8 direct reports.

Joined as employee number seven and helped carry the company from a lab result to pilot and demonstration plants, a new headquarters and laboratory, and commercial project design. Sat on the executive team that set how many plants to build and what to spend against available cash, then delivered them: $40M+ in capex projects across processing plants, membrane manufacturing, and facility builds and renovations.

Bench data to steel in the ground. We know which decisions on that road you cannot take back.

Company milestones

$1B+

Implied company valuation at the current offering price

$150M+

Equity raised across institutional and Reg A rounds

4

Pilot and demonstration DLE facilities, U.S. and Chile

GM · POSCO · Eni

Strategic investors in the Series B

In the news

Prototype to field fleet

TerraFirma

Robotics and AI for heavy civil construction · 2025 to 2026

Head of Operations and Business Development

Ran operations and business development while robots moved from the shop floor to field deployments: scoped and negotiated incentives for a new office, ran the renovation and the move into a 40,000 sq. ft. facility and a 10 acre robotic testing yard, built the customer pipeline and the internal BD and procurement tools that let technology, field execution, and sales scale at the same time, and supported investors through two financings.

Operating structure built under real growth pressure, in a business where uptime in the field is the product.

Company milestones

$100M

Series A led by Kleiner Perkins

$17M

Seed round

4 → 35

Team built in one year, as Head of Operations

In the news

The foundation

Scientist turned operator

Ph.D., Chemistry, Texas A&M
MOFs for gas storage and separations

A scientist first. Every program since is designed the way a scientist designs an experiment.

Peer reviewed publications
25
h-index
19
Citations
3,777
Annual group publications as lab manager
27 → 61
  1. 01Ran operations for a 30+ person research group: priorities, equipment, budget, and output, from year one
  2. 02Designs R&D and operations programs as experiments: a hypothesis, a test plan, a measurement, and a decision rule before money is spent
  3. 03Built data driven operations teams at EnergyX and TerraFirma, where every pilot, trial, and field run fed the next decision
  4. 04Designs the AI tools operations run on: internal business development and procurement systems, and physics grounded prediction models on a company's own experimental data

Decisions from data, teams built to produce it fast, risk taken out early. That is where execution speed comes from.

Company figures and news describe the companies Angelo worked within, including milestones after his tenure, and do not imply sole attribution.

What the Work Looks Like

Four patterns, from current engagements.

Client names stay confidential by agreement. The shape of the work does not.

01

Process Design and Manufacturing

A critical minerals company had a separation material that worked at the bench and no process to make it at volume. Industrial Frontier is designing the manufacturing process and the line behind it: unit operations, equipment, suppliers, and the quality system that has to exist before the first customer order, sequenced so the irreversible decisions come last.

02

Running R&D, With AI in the Loop

An early stage inorganic materials company needed its development program run, not advised. Industrial Frontier directs the chemistry and scale up work across the company's lab, outside analytical labs, university partners, and equipment vendors, and is designing a physics grounded model on the company's own data so each round of trials narrows the next.

03

An Operator's Read for Investors

Investors evaluating lithium, brine, and critical minerals technologies need to know which results are real, what the patents protect, and what it would take to reach a plant. Through expert networks and direct diligence, Industrial Frontier gives them an operator's read before capital commits.

04

Deal Sourcing

An investment firm wanted a steady pipeline of deep tech companies that fit its thesis, found before they reach the market. Industrial Frontier searches the sectors it works in, through the people it works with, and delivers a shortlist with the technical read on each company. Both sides stay anonymous until they agree to talk.

Bring your thesis, stay anonymous

Capabilities

From the science to the company built around it.

Five areas, mapped to the four stages every deep tech company crosses. Most engagements start at the handoff that is currently breaking.

01 Innovate

02 Design the Process

03 Scale and Manufacture

04 Run It

01
Stage · Innovate

Technology & Commercialization

Find the real path from technical promise to commercial readiness.

Pressure-test the science, economics, and scale-up assumptions before more time and capital are committed.

Most deep tech companies do not fail on the science. They fail on a cost, a customer, or a scale up assumption nobody tested. We find those early, map the shortest credible path to a first paying customer, and give founders, boards, and investors a plan they can underwrite.

Technology assessmentTechnical diligenceCommercialization strategyScale-up risk assessmentTechno-economic analysisTechnology benchmarkingPilot strategyInvestor and board supportCommercial strategy and the path to first customers
02
Stage · Scale and Manufacture

Scale-Up & Operations

Build the operating system around the technology.

Stand up the people, facilities, suppliers, engineering partners, and workflows required for deployment.

Scaling is a sequence of one way doors and two way doors. We keep decisions reversible for as long as the evidence allows. When a one way door cannot be avoided, a site selection, a process lock in, a long lead equipment order, we cross it deliberately and with the data in hand.

03
Stage · Innovate · Design

R&D and Engineering Leadership

Run the research and engineering program, not just advise on it.

Lead and structure R&D and engineering from bench through pilot readiness.

Every program runs as a set of experiments: a hypothesis, a test plan, a measurement, and a decision rule before money is spent. We decide what gets tested, what gets designed, in what order, against which operating requirement, and when to stop, so the work produces decisions and not just data.

04
Stage · Run It

AI, Data & Technical Software

Design tools around the physics of the business.

Practical AI and software grounded in scientific and operating reality, built for the team that has to use it.

We design physics grounded prediction models on a company's own experimental data, so each round of trials narrows the next. We also design the internal systems for business development, procurement, and operations that a small team can actually run, maintain, and trust.

05
Stage · Scale and Manufacture

Special Project Management & Execution

Own the critical, cross cutting project from decision to done.

Some of the most consequential work in a deep tech company does not live in any one function.

A first plant build, a technology transfer, a facility move, a program that has slipped. We take these on as defined, time boxed engagements with a single accountable owner, a real plan, and a cadence that survives contact with reality.

Science ↔ Operations · one connected system

How We Work

Speed comes from removing risk early.

01

Test small, test often.

Trial runs and pilot campaigns that surface failure modes while they are still cheap to fix.

02

Rehearse before it counts.

Dry runs of commissioning, startups, and critical procedures, so the first real run is not the first run.

03

Keep doors two way as long as you can.

Decisions stay reversible until the evidence earns the commitment.

04

Know what to kill.

Stopping the wrong experiment early is often the fastest move a program makes.

05

Start the long lead items first.

Equipment, permits, and suppliers set the schedule, so they get decided while the science is still maturing.

06

Let the data narrow the next round.

Every trial is designed to shrink the option space for the next one.

Industries

Where the work happens.

Four sectors where the science is hard, the capital is heavy, and the distance from bench to plant decides who wins.

Fig. 03Process schematic
01 / 04

Critical Minerals & Metals

Leaching, separation, and refining of the metals and minerals modern industry runs on, from any feedstock.

Metals

  • Lithium, graphite, and battery metals
  • Rare earths and magnet materials
  • Copper, nickel, cobalt, and precious metals
  • Gallium, germanium, scandium, and indium

Feedstocks and unit operations

  • Brines and produced water: lithium, iodine, and bromine
  • Tailings, slag, red mud, and coal ash
  • E-waste, black mass, magnets, and spent catalysts
  • Solvent extraction, ion exchange, adsorption, and electrowinning

Where we help

Pilot and demonstration plant design

Sizing, equipment, and run plans that produce decision grade data.

Flowsheet and co-product screening

Which streams pay, which cost, and what the full flowsheet has to handle.

Commissioning and first operations

Startup plans, operating procedures, and the team for the first plant.

Technical diligence

An operator's read on extraction and recovery claims before capital commits.

Fig. 04Process schematic
02 / 04

Water Technologies

Treatment, reuse, and recovery trains that hold up at industrial throughput.

Where the water comes from

  • Produced water, frac reuse, and beneficial reuse
  • Desalination, brine concentration, and zero liquid discharge
  • Industrial water treatment and reuse
  • Mining and metallurgical process water

What has to come out of it and how

  • PFAS and fluorinated compounds
  • Heavy metals and selective ion removal
  • Mineral and resource recovery from water
  • Membranes, RO, nanofiltration, and electrodialysis

Where we help

Treatment train selection

Matching the technology to the water, not the other way around.

Pilot testing at real throughput

Campaigns that show what fouls, scales, and drifts before the full build.

Scale up of new separation media

From a coupon that works to modules that hold up in service.

Technology assessment

A cost and performance read on emerging treatment technology.

Fig. 05Process schematic
03 / 04

Gas Storage & Separations

Porous materials, membranes, and adsorption turned into working process units.

Gases and markets

  • Hydrogen storage, purification, and transport
  • Natural gas processing and treating
  • Biogas, RNG, and landfill gas upgrading
  • Hydrocarbon and fuel storage

Separations

  • CO₂ capture from flue gas and air
  • Sulfur removal and desulfurization
  • Air separation, olefins, and isomer separation
  • Adsorption, PSA, membranes, and module design

Where we help

Material to process translation

Turning an isotherm into a cycle, a bed size, and a cost.

Test protocols that predict the field

Humidity, impurities, and cycling tested before a pilot, not after.

Sorbent scale up

From gram batches to the quantities a pilot unit needs.

Literature and IP read

What the patents protect and what the field has already tried.

Fig. 06Process schematic
04 / 04

Advanced Materials

Materials that have to leave the lab as a product, made at rate, at spec, and at cost.

Material classes

  • Metal organic and covalent organic frameworks
  • Zeolites, porous polymers, and molecular sieves
  • Sorbents, adsorbents, and ion exchange media
  • Membranes, thin films, and coatings

Making them real

  • Metal oxides, ceramics, and refractories
  • Powder processing, granulation, and formulation
  • Scale-up from grams to tonnes per year
  • Computational design, characterization, and quality control

Where we help

Manufacturing process and line design

Unit operations, equipment, and the quality system before the first order.

Designed experiments for scale up

Each batch planned to shrink the option space for the next.

Equipment and supplier selection

Vendors, tolling partners, and long lead items chosen early.

Cost and yield modeling

Where the cost per kilogram actually comes from, and what moves it.

About

The person you will work with.

Angelo Kirchon, Ph.D. is the founder and principal of Industrial Frontier. His career sits where technical development meets operations, where science has to become equipment, facilities, people, processes, supply chains, and commercial output.

He was employee number seven at EnergyX, the direct lithium extraction company, rising from Director of Research to Senior Director of Operations as the company went from a lab result to two pilot and two demonstration facilities in the U.S. and Chile and a new headquarters and laboratory. He then led operations and business development at TerraFirma, a robotics company for heavy civil construction, through its seed round and its $100M Series A led by Kleiner Perkins.

He holds a Ph.D. in Chemistry from Texas A&M, where he researched metal organic frameworks for gas storage and separations, and is a graduate of the Virginia Military Institute. He writes weekly briefings on lithium, mining, and water technology and advises investment teams through expert networks.

He runs Industrial Frontier from Austin, Texas, working with a small number of companies at a time.

  • Ph.D. in Chemistry
  • Facility Design, Build, and Management
  • EPC Management
  • Materials manufacturing and process lines
  • Facility permitting, leasing, and incentives
  • Published scientist
  • R&D and engineering leadership
  • Multinational operations and logistics
  • Procurement and supply chain
  • AI and technical software
LinkedInGoogle ScholarEmail
Angelo Kirchon, Ph.D.Plate 01
Angelo Kirchon, Ph.D., founder of Industrial Frontier
Name
Angelo Kirchon, Ph.D.
Role
Founder & Principal

VC / PE Diligence and Advisory

Technical conviction before you commit capital.

An independent, operator level read on lithium, critical minerals, water, separations, and advanced materials companies, from a team that has built and scaled them.

01

Deal Screen

3 to 5 business days

2 page memo and a debrief

02

Technical Due Diligence

2 to 4 weeks

Written report and an IC ready call

03

Expert Call

20 to 90 minutes

Direct, or through your expert network

See How Our Diligence Works Email Us About a Deal

Full scope, questions we ask, and technologies we underwrite on the diligence page.

Deal Sourcing

Companies that fit your thesis, found before they reach the market.

Industrial Frontier searches the sectors it works in, through the people it works with, and delivers a shortlist with the technical read on each company. Both sides stay anonymous until they agree to talk.

01

Thesis Brief

What you are looking for, written down

Sectors, stages, and technologies that qualify, and the ones that do not

02

Active Search

Sourced through operators, labs, and founders

Companies found before they reach the market or a bank

03

Shortlist and Read

A shortlist with the technical read on each

Anonymous until both sides agree to talk

Send Your Thesis See How We Read a Company

No client names, and no outreach until both sides agree.

How It Starts

Tell us what you are building.

Three steps, and you can stop after any of them.

  1. 01

    A conversation.

    Thirty minutes on what you are building and what is getting harder. No charge, no deck.

  2. 02

    A short, scoped piece of work.

    A technical read, a technology landscape, or a scale up review. Usually a week or two, fixed fee, and it tells us both whether a longer engagement is worth it.

  3. 03

    Whichever model fits.

    Retainer, project, or fractional leadership, decided from what the first piece of work turned up.

Engagement models

Strategic Advisory · Project Engagement · Fractional Leadership · Technical Assessment

Project inquiryConfidential

Share where the technology is today and what is getting harder as it scales. Every note is read by a principal, not a queue.

Send an Email

Direct email

akirchon@theindustrialfrontier.com
Responses within two business days