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LISTEN → SEE → REASON → REMEMBER → ACT

CONCYA

CONCYA

An agentic AI runtime for the physical world.

We deploy place-bound AI agents into real locations. The body changes. The intelligence persists.

FOUNDER

Olaolu

2026

Pre-Seed

INTELLIGENCE WHERE TRIAGE HAPPENS

The Problem

Global Triage Still Runs
Through Humans—Because Places Are Dumb

Every confused rider, tourist, or caller hits a staff member or call center. That architecture doesn't scale. Voice is lost. Context is fragmented. Memory doesn't compound.

Hospitality

Revenue Leakage

40%

Missed

MissedAnswered

Annual Loss

$24K

per location average

Small family restaurant, two people in the kitchen—can't handle phone triage. High-intent channel with zero instrumentation.

Public Sector

Context Failure

$70K

Per Operator

Human Operator

$70K

AI Runtime

—

Daily Impact

7/10

riders left confused or misrouted (MTA-scale)

Infrastructure exists, but intelligence layer is missing.

Government & Security

Critical Latency

60s

Wasted

TriageRoutingDelay

Missing Infrastructure

No context synthesis

No memory layer

No intelligence runtime

Manual processes under pressure. No compounding intelligence.

Concya's belief: triage should live in the environment itself. Places should listen, reason, remember, and act—so the first response happens where the problem is.

The Timing

The Runtime Window
Just Opened

The substrate was missing. We built it.

OpenAI, Google, and Amazon built the brain. Nobody built the body. The infrastructure exists. The runtime doesn't. That's Concya.

Latency Collapse

Sub-Second Response

<1s

Real-time voice response is now fast enough to sustain human trust. Sub-second latency makes voice feel natural, not robotic.

Cost Curves Flipped

Economics at Scale

90%↓

Speech + reasoning can run continuously at scale. The economics finally work for infrastructure, not just demos.

Deployment Surfaces Ready

Infrastructure Exists

100%

Telephony, edge compute, and APIs are programmable. The infrastructure layer exists — it just needs intelligence.

Agent-Native Shift

The Missing Substrate

Gap

Systems are being rebuilt for agent interaction, but lack real-world grounding. The substrate was missing. We built it.

For the first time, voice can operate as infrastructure — not a service.

THE INSIGHT

Voice Was the First
Data Known to Man

Before writing, before code, before APIs. Voice carried intent, context, state, and trust. We decoded it.

HIDDEN SIGNALS IN VOICE

INTENT

I need to get to Newark

Where is the nearest exit?

Can I make a reservation?

What time does the train arrive?

CONTEXT

Standing at Platform 3, rush hour

At the entrance, looking for directions

In the restaurant, checking availability

Late night, station is nearly empty

STATE

Frustrated, running late

Urgent, needs immediate help

Calm, just browsing

Confused, first time visitor

TRUST

Is this system allowed to route me?

Can I trust this recommendation?

Is my data secure here?

Who has access to this information?

THE GRAIN INDEX

Extracting hidden signals from voice infrastructure

Prosody

Stress, urgency, tone

Patterns

Behavioral history

Context

Environment + location

Reliability

Trust thresholds

Outcomes

Did it work?

Each interaction compounds. Voice infrastructure becomes a self-improving intelligence asset.

Everyone sees voice as audio. We see it as the operating system for human intent.

The Core

What Makes a Concya Node

A universal intelligence loop for real-world operations. One runtime, every vertical.

Concya

Node

1

LISTEN

Capture voice signals

2

SEE

Where you are

3

REASON

Decide what matters

4

REMEMBER

Build intelligence

5

ACT

Execute in real world

Each loop makes the next loop smarter

One intelligence loop. Every vertical. Infinite surfaces.

THE ATOMIC UNIT OF SCALE

The Concya Node

A Concya Node is the smallest deployable unit of real-world intelligence. It is how intelligence enters physical space, accrues memory, and produces outcomes.

Core Runtime (Agentic AI)

One unified agentic AI that combines all five principles into a single, persistent intelligence loop.

The Five Principles (Unified)

LISTEN→SEE→REASON→REMEMBER→ACT

All five principles operate as one agentic AI system. Interprets intent, applies policy, accumulates memory.

Identical across every Concya Node. Only the Body changes.

The Body (Interface)

The deployment adapter that defines how humans enter the runtime. Bodies can change without retraining the runtime.

PhoneQR CodeKioskAPI

Unique node_id

Every node has a unique ID tied to a physical location. Memory belongs to places, not sessions.

Different Jobs. Same Runtime.

Hospitality Node

(Revenue Recovery)

Capture high-intent demand and convert it into bookings.

Phone line → voice ingress

Public Sector Node

(Wayfinding)

Resolve confusion at decision points in real time.

QR → visual + text ingress

Developer Node

(Workflow)

Expose the runtime for custom, policy-bound actions.

API → machine ingress

The Agentic Loop
Signal→[ Body ]→[ L→S→R→R→A ]→Memory

"All five principles unified in one agentic AI."

Concya scales by deploying nodes, not users.

This is how intelligence becomes infrastructure.

Proof: Two Deployments

The same loop works under chaos (hospitality) and in infrastructure (public sector)

PROOF #1: HOSPITALITY

Sylla Restaurant (Harlem, NYC) — 600 Calls / Month Pilot

Monthly Impact Scenario: 600 calls/mo @ 3 mins/call

Before Concya

59%

calls resolved

After Concya

98%

calls resolved

What They Paid

Phone: $2

1,800 min × $0.15 = $270

420 actions × $0.50 = $210

$482

Total Bill

Value Created

Recovered revenue: $1,800

Labor saved: $360

No-shows prevented: $200

$2,360

Total Value

Net Impact

$1,878

net positive

$2,360 value − $482 cost = $1,878 saved

OPERATIONAL INTELLIGENCE

Remember Known Customers

Recognizes repeat callers, recalls order history & preferences.

Order Intelligence

Tracks phone orders, popular items, peak times, patterns.

No-Show Detection

Marks no-shows automatically, prevents future occurrences.

Result: 98% calls resolved (up from 59%). Concya handled 600 calls, recovered $2,300+ in revenue & labor savings. Net: almost $1,900 saved in one month.

PROOF #2: STATION INSTRUMENTATION

39th Ave Station Study (30-Day Instrumented Pilot)

39th Ave–Dutch Kills (LIC) · 5 nodes live · QR-based, multilingual guidance

30-DAY PILOT SCOREBOARD

5

nodes

800

interactions

1,200

queries

5

languages

86%

self-serve

•

2.8s

response

•

1.5×

avg queries

TOP INTENTS (30-DAY)

Manhattan direction

22%

Transfers

18%

Next train / ETA

14%

Service delays

12%

OMNY / fare

10%

+ 4 more (accessibility, layout, safety, other)

NODE TOPOLOGY

E1

32%

E2

23%

H

21%

14%

P1

10%

P2

76% of questions at entrances + hub

KEY INSIGHTS CAPTURED

76%

Confusion at decision points (E1/E2/H)

Time-shaped

Weekday: direction/transfer. Weekend: exits

5 languages

Multilingual demand is operational reality

Measurable

Every interaction = node_id + intent + outcome

SPONSORED ACCESS

Rider scans → chooses "Sponsored Access" → receives time-limited token

Community sponsorship tied to mobility

Measurable, auditable pathway

New revenue stream

Need help?

SCAN

Concya Atlas

Same loop: Scan → Ask → Guide → Log → Signal

One produces revenue, the other produces signal.

Same loop. One produces revenue, the other produces signal.

"BUSINESS MODEL"

Per Location / Per Node / Per Seat

Simple pricing: per location/node/seat + action volume. Scales across surfaces (stations, hotlines, desks).

Hospitality

Cheapest All-in-One

Per Location

$0.15/min + $0.50/intent

$482/month

600 calls/mo (Sylla pilot)

ARR Potential

$5.8K–$10.8K ARR/location

VOLUME

Phone line + minutes + actions

Usage-based. Zero upfront. Scales with call volume and intent actions (orders, reservations, inquiries).

✓ Lowest cost per node vs. competitors
Public Sector

Per Node

Per node + scan volume

Custom pricing

Citywide contracts

ARR Potential

NYC: $2.4M–$4.7M ARR potential

VOLUME

Stations, kiosks, hotlines

Node-based deployment. Per-location or citywide contracts. 5–4,720+ nodes per city.

Enterprise

Platform APIs

Enterprise

Post-Series A

Multi-vertical

ARR Potential

Unlimited scale

VOLUME

Multi-vertical

Platform APIs for vertical expansion and custom workflows. SDK for developers.

UNIT ECONOMICS

Usage-based pricing scales with volume. Zero upfront costs. High gross margins.

Example: Sylla pays $482/mo, gets $1,878 net value. Annualized: ~$22,500/location.

90%+

GROSS MARGIN

$482

AVG/MO

THE COMPETITIVE MOAT

Why They Can't Build This

The big players build generic AI. We build place-bound infrastructure.

Place-Bound AI is our defensibility. AI that belongs to a location, not a person. With location memory that compounds and policy-constrained actions for safe deployment.

OpenAI

OpenAI

The Gap

Generic Cloud Assistant

Doesn't control physical infrastructure

ChatGPT is person-bound, not place-bound. No location memory. No node-specific intelligence.

Missing

Missing: Place-bound deployment

Palantir

Palantir

The Gap

Data Platform, Not Runtime

Analyzes data after-the-fact, doesn't capture real-time intent

Palantir ingests existing data to inform humans. Concya operates in the moment of action (voice → decision) before data exists. Palantir is dashboard-driven; Concya is sub-second infrastructure.

Missing

Missing: Real-time voice runtime

Alexa

Alexa

The Gap

Device-Bound, Not Venue-Bound

Tied to hardware, not infrastructure

Alexa lives in your Echo. It doesn't belong to the restaurant, transit station, or emergency dispatch.

Missing

Missing: Venue-bound intelligence

Concya Logo

CONCYA

Place-Bound Runtime

Place-Bound

AI tied to specific location (node_id), not generic cloud

Place-Memory

System learns what works at that spot over time

Policy-Constrained

Actions limited by location type (transit guides, can't transact)

IP Protected

Place-Bound AI Agent Runtime

Q1 2026 Provisional

They build AI for everyone. We build AI for places.

Place-bound memory + policy constraints + location-specific deployment = Infrastructure moat they can't easily replicate.

We Can Do It - American Dynamism

AMERICAN DYNAMISM

Capturing 1-7% of US Hospitality
36-Month Penetration Plan

TAM: $9.83B | Target: 1-7% of ~750K US restaurants in 36 months

"We the People, We Can Do It" — Building American infrastructure, one node at a time. Each restaurant = one Concya node.

TAM

$9.83B

US Hospitality Market

TOTAL NODES

~750K

...
=
R

1 node = 1 restaurant

TARGET RANGE

1-7%

Penetration in 36 months

NODE PENETRATION TARGETS

1%

7,500 nodes

+7,497

3%

22,500 nodes

+22,491

5%

37,500 nodes

+37,486

7%

52,500 nodes

LOW CASE

Per Node

$482

per month

1%

$43.4M

ARR

3%

$130.1M

ARR

5%

$216.9M

ARR

7%

$303.7M

ARR

HIGH CASE

Per Node

$900

per month

1%

$81.0M

ARR

3%

$243.0M

ARR

5%

$405.0M

ARR

7%

$567.0M

ARR

American Dynamism: Targeting 1-7% of ~750K US restaurants (7.5K-52.5K nodes) over 36 months. At $482-$900/month per node, ARR potential ranges from $43.4M-$567M. Each restaurant = one Concya node. We the people, we can do it.

THE PUBLIC SECTOR PROBLEM

Transit Infrastructure
At Breaking Point

Data from our MTA 39th Ave pilot reveals massive inefficiency. Infrastructure is broken where it matters most.

PILOT SITE

39th Ave Station

30-Day Pilot

Interactions800
Languages5
Nodes Live5

KEY INSIGHT

76% of questions cluster at decision points.

Entrances, platforms, exits—exactly where infrastructure fails today.

Trips/Year (US)

9-10B

Massive scale with fragmented infrastructure. No unified intelligence layer.

Languages (NYC)

200+

NYC serves 200+ languages, but Help Points can't. Static signs fail multilingual riders.

Per Operator/Year

$70K

Human operators in glass boxes, yet 4M daily riders still face barriers. Not scalable.

Questions at Decision Points

76%

From our 39th Ave data: 76% cluster at entrances, platforms, exits—where infrastructure fails.

Public Sector / Infrastructure Gap

MTA / NYC Mayor's Office / OMNY

American Dynamism

Public Sector Deployment:
Atlas Infrastructure Scale

From proof-of-concept to citywide infrastructure to Community-Supported Mobility.

We Can Do It

Total Scale

472Stations (NYC)

5-20 Nodes per station
(Min: 2-5 kiosks if approved)

Phase 1Months 0-6

QR-Based Proof

39th Ave Pilot (Dutch Kills). 5 QR nodes, 5,000 daily riders, 40% opt-in. Zero CapEx for city. Prove demand + capture data.

Phase 2Months 6-12

Kiosk Infrastructure

Scale to 472 NYC stations. 5-20 NFC/QR codes/kiosks per station = 2,000-4,076 Concya nodes deployed. Triggers: 70% satisfaction, 40% opt-in, $0.14/ride subsidy. Multilingual, 24/7. Self-funded.

70% satisfaction • 40% opt-in

2,000-4,076 Concya Nodes Deployed

Phase 3Months 12+

Community-Supported Mobility

Solve the funding gap. Brands pay for attention. Cities get infrastructure. A new revenue model.

Validated: MTA OMNY + Mayor's Office

Flipping the Deficit

$3.50

Deficit/Ride

↓

$0.14

Subsidy/Ride

~$255K

Yield/Station/Year

Operational Gains

  • Measurable IntentTurn questions into structured data.
  • Multilingual 24/7Spanish, Mandarin, French, ASL.

"Measurable ROI for the City"

Genius ModelSponsored Access

Community-Supported
Mobility Infrastructure.

01

The Funding Gap

Cities can't pay for new tech. Brands (SMBs, Nike, Google Maps) will pay for attention.

02

Aligned Incentives

Riders get free rides. Brands get placements. City gets infrastructure at zero CapEx.

BRANDS

Pay for Access

→

RIDERS

Get Free Service

→

CITIES

Get Infrastructure

NYC Blueprint: 472 Stations•National Expansion: Top 50 Metros

"Not cheap ads. Community-supported infrastructure."

Business Model Deep Dive

Sponsored Access
Infrastructure that Pays for Itself

Turning public transit cost centers into high-yield revenue generators through context-aware sponsorship.

"We don't just reduce costs. We create yield."

The Reality

Rider Fare

$2.90

Actual Cost

~$6.50

$3.50 Deficit / Ride

Fares cover only 45% of operating cost

Cities operate at a massive deficit.
~$5B annual shortfall (MTA)

The Mechanism

Community-Funded Access

CONTEXT

Rider at 39th Ave (Dutch Kills)

Needs Ride

THE EXCHANGE (Choose One)

Watch 15s Ad

Opt-in Data

SPONSOR

LIC Bakery

Pays $0.50 CPCV

(Per Completed View/Lead)

TOKEN

1 Free Entry

($2.90 value)

Unit Economics

Ad Revenue

$0.50

Per View / Lead

MTA / City

70%

Concya

30%

Annual Yield

~$204M/yr at NYC Scale

~$255K per station

Validated by Mayor's Office•Scalable to Top 50 Metros

"Infrastructure that pays for itself."

Olaoluwasubomi Aduloju

Founder & Architect

Olaoluwasubomi
Aduloju

LINKEDINPORTFOLIO
THE TEAM

The Origin Story

"My mum risked everything to get me and my sister to school in America, but her strong Nigerian accent cost her a job as a restaurant host. That moment made it clear: we need a voice layer that works for everyone — warm, natural, and fair."

Harvard

Harvard University

Joint B.S./M.S. Computer Science

BMCC

BMCC

A.S. Comp Sci • Dean's List x4

Awards & Recognition

5 ITEMS
2025

X.ai

— Hackathon
Honorable Mention
X.ai
2025

Series.so

— Hackathon
Honorable Mention
Series.so
2020

Nigeria

— COVID Relief App

UNICEF Global Impact Award

National Award
Nigeria
2020

India STEM

— Alliance Award
Recipient
India STEM
2025

Palantir

— Foundry Certifications

Foundry Aware • Foundry Training • Application Developer • Data Scientist

Certified
Palantir

Investment Opportunity

Funding Ask

Raising $500K on SAFE to reach Seed Readiness ($3M ARR Pace)

Target Timeline

Month 6

15% Paying Hospitality

10% Deployed In NYC Transit

The Terms

RAISE AMOUNT

$500,000

INSTRUMENT

SAFE (Post-money)

VALUATION CAP

$10M

Use of Funds

50%Engineering (The Runtime)

• Voice/Telephony Specialist & Infra• Goal: Sub-400ms latency & hardened engine

30%Growth (The Deployment)

• "Boots on the ground" Sales (NYC)• Goal: 50 Restaurant Nodes + 5 Transit Pilots

20%Ops & Buffer

• Legal, Compliance, Corp Setup• Goal: 18-month runway buffer

The Milestones

Progression to Series A

Month 6

Commercial Velocity

$60K MRR

$720K Annualized

Action: 100 nodes, 20 locations, measurable outcome lift, retention curves, 2 paying cohorts

"Prove the 'Day 1 Painkiller' sales motion is repeatable."

Month 12

Civic Scale

25% Coverage

NYC Metro Transit

Action: Deploy Nodes in 118 NYC Transit Hubs

"Validate the 'Sponsored Access' revenue model at scale."

Month 18

Seed Readiness

$3M ARR Pace

State Contract LOI

Action: Expand to 2nd Metro (DC/Chicago) or Enterprise Deal

"Ready to raise $4M Seed to scale the machine."

Why This Amount?

"We are raising a tight $500k to maintain discipline. We have validated the product (Sylla) and the demand (Transit). This capital allows us to hire the core technical talent to harden the runtime before stepping on the gas for the Seed round. It connects Money to Metrics: We aren't just 'hiring devs', we are buying 400ms latency."

THE VISION

Cities Intelligent
Where Triage Happens.

Our vision: make cities intelligent at the point where triage actually happens. Long-term, global triage becomes agentic, place-aware, and eventually orbital—an intelligence layer for countries and infrastructure at scale.

Every Hospitality Venue

Global Scale

Concierge nodes in every restaurant, hotel, and venue across the world.

Every Transit System

Global Scale

Concierge nodes in every transit system across the world.

Every Emergency Dispatch

Worldwide

In every emergency dispatch in hospitals.

Pan-African Emergency Runtime

54 COUNTRIES • LEAPFROG SCALE

911 runs on 1960s architecture—never built for scale, multilingual, or real-time context. Most of the world has no equivalent. Across 54 African countries, no such infrastructure. Africa leapfrogs to AI-native.

  • Latency + transfers = death (no context/routing).
  • Voice is the only signal when literacy/apps fail.

FOUNDER ADVANTAGE

Pre-COVID GovTech: Nigeria Relief Tool

Active Outreach: Globacom & Tony Elumelu

When triage lives in the environment—when places listen, reason, remember, and act—that's the vision. One node, every interface. The body changes. The node stays continuous.

THE HORIZON

Concya Orbital

The coordination layer that turns local place-intelligence into shared situational awareness.

Place Nodes (Edge)

Phone · QR/NFC · Kiosks · Voice terminals

Local triage happens where the problem occurs.

Orbital Layer

Detect patterns

Coordinate escalation

Maintain continuity

Operators & Institutions

Transit Ops · City Services · Emergency Mgmt

A single operational picture across systems and borders.

Signals (not people)

Anonymized event patterns across places

Actions

Routing · Alerts · Playbooks · Resource coordination

Resilience

Works through outages, congestion, and fragmented infrastructure

Not surveillance. Not command-and-control. A shared nervous system for real-world triage.

Local intelligence becomes planetary when coordination lives above geography.