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Investor brief

AI for warehouses,
distribution and logistics.

redfly works with warehouse, distribution and logistics operations to figure out where AI fits, integrates it with the systems they already run, and manages it for them. Each integration we build can become a product the next operation switches on; over time, a catalogue.

01 · Why now

The customer is asking. The technology is ready.

The customer has changed

Operations no longer ask whether to use AI. They know what they want it to do and ask where it fits, whether their data is ready, and who will build and run it. Nobody serves that question for warehouses, distribution and logistics.

The technology has improved

The new models read emails, paperwork, sensor readings and speech well enough, and cheaply enough, to do the work well on a busy floor. What is missing is integrating them with the systems and sites that run the operation.

02 · The market

They want AI. They cannot start alone.

28%are still working out where AI could add value in their operation; 23% have not startedLogistics Reply survey of supply chain, operations and technology leaders, October 2026
56%of senior supply chain leaders call integrating AI with the systems they already run a major hurdle; 50% lack the in-house expertise to run itGartner survey of 140 supply chain leaders, late 2025
25%name budget as the top obstacle to getting more from AI, ahead of data quality and proving a returnLogistics Reply, October 2026
82%expect to be using AI by 2029, up from 28% todayMHI Annual Industry Report 2025 with Deloitte, 700+ manufacturing and supply chain leaders
  • They want AI without a big budget or a new team.
  • They want a clear return before they commit.
  • They do not want to understand or staff the technology; they want someone to manage it for them.

03 · What we build

We integrate AI with the systems they already run.

Use the data they already have to drive intelligent operations: actions, analysis and discoveries that once needed people or costly software.

Your systems
Operations systemorders, stock, loads or production
Emails and paperworkwhat people key in today
Sensors and equipmenttemperature, machines, vehicles
AI
What AI does
Automated scheduling and bookingfrom your own data
Entry from emails and documentsinto the system you run
Alerts on what needs attentionfor a person to review
redfly Portalalerts, suggestions, dashboards
Your people
Supervisors, dispatchers and customer service
  • Works inside the systems and sites they already have.
  • We build it, test it and manage it for them.
  • A person stays in charge. 82% of operations review every AI recommendation before acting (Logistics Reply, 2026).

04 · How we make money

Paid for the work. Paid while it runs.

No customer has to understand or staff the technology; we deal with it on our end.

  1. 01

    Integration work

    We figure out where AI fits and build the first integration against the customer’s systems. Paid as a project.

    Today
  2. 02

    Subscription

    We run and manage the integration for them, so they never have to staff it. Paid monthly or yearly while it runs.

    Today
  3. 03

    Repeatable products

    The same integration, offered to the next operation as a product they switch on. Over time, a catalogue.

    Planned

Why each integration makes the next one cheaper

Same systems

Warehouse, transport and order systems repeat across the industry. An integration built against one is most of the way to the next.

Same kinds of data

Orders, emails, paperwork, sensor readings. The reading and checking we build once carries over.

Same floor

Spotty internet, remote sites, peaks and shift changes. We have already built for these conditions, so every integration starts there.

05 · Why us

Most AI companies know AI. We also know the floor.

Knows the floor

Our founder spent years building the software behind large warehouses in the US and Europe, through Black Friday and Cyber Monday peaks.

Builds it the way the floor needs

Tested before anyone relies on it. Works through lost connections and slow links. A person stays in charge.

Manages it for them

Customers do not want to deal with technology they cannot understand or afford to staff. We run it on our end.

Small and lean

We are a small startup. We can do this for far less than the large firms these operations cannot afford, which is what the market is asking for.

Built by the people the Fortune 500 called

  • Data infrastructure proven for FedEx, Walmart, UPS, PepsiCo, Toyota, and Nike.
  • Not a first system: the productization of two decades of enterprise work.
  • Backed by Alchemist Accelerator (Batch 37), the top-ranked enterprise accelerator.
  • Delaware C-Corp, structured for venture financing.

Vijay Mohan, Founder

  • 20+ years building scalable, mission-critical systems
  • Ran cloud engineering for 100+ warehouses
  • Architected the Azure portal behind 100+ global clients: DHL, Toyota, Nike
  • Helped drive a warehouse robotics company to unicorn status

06 · Track record

We have a formidable reputation.

100+
warehouses running successfully during peaks
10B+
rows synced over the public internet
$20K to$5K
monthly cloud bill, cut using our technology
20+ years
of industry experience solving “impossible” problems
WALMARTSAM'S CLUBHOME DEPOTNIKEFEDEXUPSPEPSICOMCKESSONCARDINAL HEALTHTHERMO FISHERABBOTTNEWELL BRANDSHANESBRANDSTIMBERLANDCRATE & BARRELSTITCH FIXRYDERKENCORADIALSADDLE CREEKSHIPMONKMATERIAL BANKCOOPER LIGHTING

07 · The ask

Help us put AI to work on every floor.

RoundSeed

Use of funds

  • Take the first AI integrations live with design partners
  • Turn the first integration into a product the next operation can switch on
  • Founding engineering and go-to-market hires

12-month milestones

  • First integrations live and managed for paying customers
  • The first product switched on by a second operation
  • A repeatable path from first conversation to live integration

Contact

Talk to the founder.

Tell us what you want to see; we will show you where we are.

Email the investor teamBack to redfly.ai