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Seed extension / bridge · $5M raise

Define the outcome. requester.ai executes the work.

The AI operating system for physical operations — powered by advanced, hyper-specific compliant subcontractor networks that turn software intent into verified real-world execution, billing and payment.

Investor thesis: AI will coordinate real-world work through advanced, hyper-specific, compliant subcontractor networks.
Why now · records → action

Every platform shift creates a new category leader.

AI is the first shift that can coordinate people, compliant subcontractor networks, machines and capital. The winner will not be another dashboard — it will be the execution layer that turns intent into completed work.

1980s · On-premService companies digitize dispatch, inventory and billing.
1999–2000s · Dot-comNetworks connect demand, supply and service-performance data.
2010s · Cloud + mobileField teams carry the operating system in their pocket.
Now · AI agentsSoftware plans, communicates, verifies, bills and pays.
Next · Physical executionSystems of action coordinate work across digital and physical networks.
Second-generation founder-market fit

Category DNA across multiple revolutions in service technology.

This is not opportunistic AI repositioning. It is a continuation of a category built across on-prem service automation, SaaS + provider marketplaces, cloud/mobile field operations and now AI-native execution networks.

1980sService Technology

Early service-contractor operating systems.

1999ServiceChannel.com

SaaS + provider marketplace for facilities.

$1.2BFortive exit · 2021

500+ customers · 70+ countries · 70,000+ providers.

2020 → AIrequester.ai

Provider-side AI OS for compliant physical operations.

The market shift
Record → Act

Enterprise software is moving from documenting work to autonomously coordinating the actions required to complete it.

The execution moat
Compliant Network

Not a vendor list: an eligibility-controlled execution layer matched by trade, asset, territory, credentials, client approval, capacity and economics.

The compounding loop
Density → Data

Every completed job deepens network density and improves acceptance, SLA, quality, pricing, margin and risk predictions for the next request.

The unsolved problem

Physical work is still manually coordinated.

The hard part is not creating a ticket. It is matching each job to the right compliant network, then completing, verifying, billing and paying.

01
No live operating layer

Work is trapped across tickets, spreadsheets, email, phone calls and disconnected field apps.

02
Network fragmentation

Clients, vendors, technicians and finance teams operate with different systems, compliance rules and scopes.

03
Manual finance drag

AR/AP readiness, NTE rules, disputes and collections slow down cash conversion.

National service providers coordinate thousands of micro-decisions across sites, assets, vendors, schedules, compliance rules and invoices — with humans doing the stitching.
Command center + AI execution layer

Module-hunting becomes command-driven execution.

Voice, search, a live operating map, zero-inbox action filters and compliant network intelligence coordinate the full lifecycle.

AI commandPrepare every Florida site for the hurricane.

requester.ai plans the work, selects the right compliant subcontractor network, dispatches visits, verifies outcomes and queues AR/AP.

PlanDispatchVerifyMonetizeHumans approve · agents execute · networks learn
The differentiator

Compliant subcontractor network intelligence.

The moat is not a static vendor list. It is knowing which compliant network can complete which job, under which rules, at what cost and speed.

1 · Eligibility gate

COI, licenses, certifications, W-9, client approval, site requirements, trade rules, asset qualifications and expiration windows. Failure means ineligible — not merely lower ranked.

2 · Contextual ranking

Among eligible subcontractors, rank by exact capability fit, response probability, SLA, quality, capacity, travel, price, margin, relationship strength and workload.

Hyper-specificTrade, asset, location, SLA, seasonality, insurance, certification and client-rule fit.
Compliant by designCertificates, forms, rates, scopes, dispatch logic and finance rules embedded in execution.
Compounding dataEvery trip, exception, check-in, invoice and payment improves the next match.
Territory + capacityCoverage polygons, radius, travel time, emergency hours and live availability.
Performance intelligenceAcceptance, arrival, SLA, quality, evidence, disputes and cancellation history.
Economics + marginRate, NTE, travel, gross profit and financial exposure influence selection.
Advanced networks become the AI execution substrateCompliant before rankedExplainable selectionNetwork gaps become actionable
One loop from request to payment

AI learns because it can observe the whole outcome.

DemandWork orders, client rules, weather and asset history.
ExecutionCompliant matching, scheduling, routing and communications.
VerificationCheck-ins, photos, forms, compliance and exceptions.
FinanceNTE, proposals, AR/AP, payments and collections.
Closed-loop execution + compliance data.
Outcome-driven execution platform

Executive intent becomes governed execution and financial closure.

01 · ExperienceCommandNatural language · outcome builder · map + timeline · approvals
02 · OrchestratePlanIntent compiler · outcome service · task graph · durable workflows
03 · AgentsReasonNetwork · scheduling · compliance · verification · billing agents
04 · ControlGovernExecution gateway · policy engine · risk approvals · audit + observability
05 · ExecuteActWork + trips · compliant network · finance · SMS/email/voice/chat
Core architecture rule: LLMs propose. Policies constrain. Domain services execute. Events prove. Humans govern.
Product vision · map-first command OS

One interface across every site, vendor and asset.

Search, command, dispatch, verify, bill and pay from a live operational layer rather than a maze of modules.

ASK
Ask or command anything

“Show late hurricane prep work orders with missing compliant vendors.”

MAP
Live operations map

Sites · assets · vendors · trips · routes · weather · exceptions.

AI
AI sidekick

Plans the next action, drafts communications, explains risk and queues approvals.

CONTROL
Financial + network control

AR/AP readiness, wallet, collections, margin, compliance, coverage, certificate gaps and SLA capacity.

Traction · already live at scale

The execution network is operating today.

requester.ai already sits inside high-volume physical workflows where software failure appears immediately in the field — and inside the work, network, compliance and payment data needed for AI-native execution.

$4MRevenue today*
78%Gross margin*
<$50kMonthly burn*
93%+GRR*
100k+Monthly trips
3.5k+Weekly active vendors
14k+Managed sites
200%+Invoice volume growth
*Private-company operating metrics are management-provided and should be diligence-verified.
Business model

SaaS today. Workflow monetization next.

As AI increases execution volume, requester.ai captures software, network, communications and financial rails.

01
Core SaaS

Subscriber, modules, users and workflow expansion.

02
Network execution

Advanced onboarding, compliance, sourcing and dispatch.

03
Payments + wallet

AR/AP, withdrawal, same-day funding and collections.

04
AI automation

Premium command center, agent workflows and managed intelligence.

The long-term prize is the transaction layer for how compliant physical work is coordinated, confirmed and monetized.
Category creation

From FM SaaS to autonomous physical operations.

ServiceChannel.com proved SaaS + marketplace for facilities. requester.ai extends that logic into AI-native execution.

Legacy FM platformsSystem of record

Digitize requests and vendor interactions.

requester.ai todaySystem of workflow

Coordinates provider-side operations, finance and compliant networks.

AI physical opsSystem of action

Orchestrates humans, agents, robots, assets and capital.

The next ServiceChannel.com-scale company will not be a better ticketing system. It will be the AI OS for physical execution.
$5M raise · accelerate category leadership

Capital to scale from a position of traction — not to fund survival.

40%AI product + data layer

Agent workflows, map command center and execution intelligence.

25%GTM + enterprise sales

Convert enterprise pipeline into ARR and expand vertical/category leadership.

20%Payments + financial rails

Wallet, AR/AP readiness, embedded payments and collections.

15%Implementation + reliability

Enterprise onboarding, integrations, QA, uptime and scale.

Ship AI command centerConvert enterprise pipeline into ARRExpand payments attachReach durable profitabilityRaise growth round from strength
Why requester.ai wins

Four advantages converge as software shifts from records to execution.

01
Founder-market fit

Second-generation category DNA across on-prem, dot-com SaaS, marketplace, mobile and AI.

02
Compliant network wedge

Advanced, hyper-specific subcontractor networks that execute regulated work at scale.

03
Closed-loop data

Every trip, photo, check-in, certificate, exception, invoice and payment teaches the network.

04
Execution moat

The moat is completed work and the financial trail behind it.

The next industrial revolution will be coordinated through software and compliant subcontractor networks. requester.ai already sits inside that execution layer.
Investment opportunity

The AI operating system for compliant physical operations.

Built by a second-generation technology founder with category DNA from ServiceChannel.com — now applied to AI-native execution networks. requester.ai coordinates the people, agents, assets, vendors and financial rails required to get real-world work done.

$5M raise to accelerate the AI command center, compliant network intelligence, payments attach and enterprise GTM.
Confidential investor discussion materials. Management-provided metrics and forward-looking statements require investor diligence.