TaskiLi AI
TASKILI AI 1/24

What is TaskiLi?

TaskiLi AI

Get any need done from a prompt through a marketplace of worldwide human and AI services.

NEED
PROMPT
TASKILI
HUMAN + AI SERVICES
DONE
The execution layer between people's needs and the world's capabilities.
Understand TaskiLi in five seconds.
THE OPPORTUNITY 2/24

The internet has enormous capabilities. They are fragmented.

Today, a person may need to separately navigate AI models, AI tools, SaaS products, freelancers, agencies, local service providers, specialists, companies, and marketplaces.

AI models
AI tools
SaaS products
Freelancers
Agencies
Local service providers
Specialists
Companies
Marketplaces

The capability exists. The problem is accessing and coordinating the right capability to actually get the job done.

“I have a need.” → “TaskiLi gets it done.”
Long-term vision: make that access feel like one step — from need to done.
This is much stronger than saying “we are another marketplace.”
THE LONG-TERM VISION 3/24

One layer between your need and the world's capabilities.

Today
Need
Search
Compare
Contact
Explain
Coordinate
Pay
Wait
Receive
Check
TaskiLi
Need
Prompt
TaskiLi
Done
Long-term expansion
Human Services
AI Services
Human + AI
Multi-step Projects
Software / SaaS Capabilities
Universal Service Layer
Long-term vision: make software, AI and human capabilities accessible through one execution layer.
From coordinating tasks to orchestrating outcomes.
THE PRODUCT 4/24

TaskiLi turns a need into an executed result.

1. UNDERSTAND
What does the user actually need?
2. DISCOVER
Find the right human or AI capability.
3. EXECUTE
Run the service through AI, humans, or both.
4. DELIVER
Produce the requested output.
5. SUPERVISE
Check whether the delivered result matches the requirement.
6. LEARN
Use structured feedback, telemetry and outcomes to improve future execution.
TASKILI
EXECUTION LOOP
TaskiLi is an execution system around services — not simply “Fiverr + ChatGPT.”
Understand → Discover → Execute → Deliver → Supervise → Learn
HUMAN SERVICES 5/24

Human services already exist inside TaskiLi.

One execution source inside TaskiLi
Freelancers
Specialists
Agencies
Companies
Local service providers
Professional services
CLIENT NEED
PROVIDER DISCOVERY
AI QUALITY DETECTION
CLIENT ↔ TASKER CHAT
AGREEMENT / GIG
PAYMENT
EXECUTION
DELIVERY
AI SUPERVISION
TaskiLi is building the transaction and execution layer around human services — not simply a directory of providers.
Honest about today
  • Human-service discovery exists.
  • AI-assisted provider intelligence exists.
  • Communication currently relies on phone interaction.
  • In-app chat, structured gig/agreement and payment are part of the 0–3 month commercialization phase.
Human services are one major execution source inside the broader TaskiLi platform.
AI SERVICES / TEXA AI LAB 6/24

AI services are already part of the product.

Texa AI Lab gives users access to a broad set of AI capabilities.

TaskiLi AI capability layer
Texa AI Lab
Built and working today
One environment for selecting, combining, and executing the AI capabilities a task requires.
Think
Chat · Reasoning
Research
Web search · Market research · Product research
Create
Image generation · Voice · Video · Presentations
Build
Code · Workflows · Automation
Analyze
Data analysis · Document analysis · Video analysis
Plan
Business strategy · Project planning · Consulting · Prompt engineering
TaskiLi doesn't only connect users to people. It can also execute services through AI.
Texa AI Lab is one working capability layer inside the broader TaskiLi execution platform.
THE TRUST LAYER 7/24

Services have two trust problems — before and after.

Before
“Who should I choose?”
AI Quality Detection
Analyzes available provider information and public signals to help the user make a better-informed provider choice.
Currently based on external provider information, including Google Maps.
During
“What exactly did we agree to?”
Chat → Agreement / Gig
The conversation becomes structured service requirements.
After
“Did I get what I paid for?”
AI Supervision
The delivered work is evaluated against the requested result.
Quality Detection helps before the transaction. Agreement defines the transaction. Supervision evaluates the result.
Economically important because it is intended to reduce uncertainty around service transactions.
A trust layer for selecting providers, managing delivery, and learning from completed work.
BUILT TODAY 8/24

TaskiLi is not an idea waiting to be built.

Human Services foundation
Texa AI Lab
AI Quality Detection
AI Supervision
Web product
Android closed testing
iOS code / publishing process
Core orchestration architecture
AI Fabric architecture
Inputs / Systems / Outputs architecture
Memory / Governance / Telemetry / Economics / Learning architecture
Evidence so far
  • ~200 users previously tested the service-finder product.
  • Product demonstrations and prototype interactions have been documented.
  • Founder has independently built a substantial portion of the system.
Not yet proven
$0 revenue
0 paying customers
Commercial product-market fit not yet established
Provider liquidity not yet established
Repeat usage not yet established
“Look how much technical/product foundation exists — and now look at exactly what remains to prove.”
Built product foundation today. Commercial validation and scale are next.
THE ENGINE UNDER TASKILI 9/24

Under the marketplace is an orchestration engine.

TASKILI
USER NEED
INPUTS
ORCHESTRATION
AI Fabric
Humans
SYSTEMS
OUTPUTS
QUALITY / SUPERVISION
RESULT
TELEMETRY + LEARNING
Around everything
Memory
Governance
Economics
TaskiLi is building the infrastructure required to turn a natural-language need into a controlled execution.
Inputs → Orchestration → Systems → Outputs → Quality
EXPANSION PATH 10/24

Start with services. Expand into capabilities.

01
Human services
Current foundation
02
AI services
Working today
03
Human + AI
Building toward
04
Multi-step projects
Long-term expansion
05
Software / SaaS capabilities
Long-term expansion
06
Universal service layer
Long-term expansion
The marketplace is the entry point. The orchestration layer is the larger opportunity.
The opportunity expands from individual transactions to orchestrated outcomes.
MARKET 11/24

TaskiLi starts where online service markets already exist, then expands beyond them.

Current external market references show:

Global freelance-platform market
$6–9B
Multi-billion-dollar range today, with different research firms estimating roughly $6–9B around 2025–26 and substantial growth thereafter.
Generative-AI spending
$644B
Gartner forecast worldwide generative-AI spending at $644B in 2025.
Global SaaS market
Hundreds of billions
Global SaaS estimates are already in the hundreds of billions of dollars annually, depending on market definition.
These are not added together as TaskiLi's TAM. They represent adjacent capability markets that TaskiLi could progressively access as its service layer expands.
A defensible market story — not an invented TAM.
BUSINESS MODEL 12/24

Four clear revenue stages. One execution platform.

01
Human Services
15% fee on completed transactions. Planned for the first commercialization phase.
02
AI Services · Texa AI Lab
Subscriptions, usage-based consumption, and Premium Capabilities. TaskiLi Token/plan architecture supports consumption economics.
03
Human + AI Execution
Future human + AI coordination for larger projects. Revenue: transaction fees, execution fees, or service margins.
04
Business / Enterprise
Future managed service execution, enterprise workflows, platform access, and higher-value projects.
Completed $100 service:
$100Service price
$85Provider receives
$15TaskiLi revenue
Transaction → Subscription → Execution → Platform
Revenue expands as TaskiLi moves from transactions toward orchestration.
CONTROLLED LEARNING LOOP 13/24

A measured learning loop improves execution over time.

DETECT
Collect structured signals from usage, execution outcomes, quality, latency, and cost.
ANALYZE
Use telemetry, economics, and learning systems to identify patterns, regressions, and improvement opportunities.
REVIEW
Evaluate proposed changes against governance, safety, quality, and unit-economics criteria before release.
IMPROVE UNDER CONTROL
Ship approved updates, monitor their measured impact, and roll back changes that miss quality or cost targets.
Continuous detection → analysis → review → controlled improvement
CURRENT VALIDATION 14/24

Technical validation is ahead of commercial validation.

Validated / Demonstrated
Product
  • Working product components and live web product
  • Texa AI Lab and human-service foundation
  • AI Quality Detection and AI Supervision
  • Mobile development
Early usage
  • Approximately 200 previous Service-Finder testers
Technical execution
  • Founder-built architecture and multi-provider AI architecture
  • Orchestration architecture
  • Memory, governance, telemetry, economics and learning designs
Still to Validate Commercially
  • Paid transactions
  • Repeat customers and provider retention
  • Marketplace liquidity
  • Customer acquisition cost (CAC)
  • Transaction volume
  • AI conversion and AI gross margin
  • Service-level economics
$0
Current revenue
0
Current paying customers
Technical validation is ahead of commercial validation. The next 12 months are designed to close that gap.
Confident about the foundation. Honest about what the market still needs to prove.
12-MONTH PLAN 15/24

The next 12 months: integrate → launch → learn → scale.

0–3 Months — Connect & Launch
  • AI Fabric integration
  • User chat and Gig / agreement system
  • Payments and 15% TaskiLi transaction fee
  • AI Outputs system
  • Marketing strategy
  • Commercial launch, first paid transactions and systematic validation
Investor milestoneComplete the transaction loop and launch the commercial product.
4–6 Months — Build the Platform Foundation
  • Inputs system
  • Systems architecture
  • Governance
  • Memory
  • Telemetry
Investor milestoneTurn individual features into an integrated orchestration platform.
7–9 Months — Build the Learning Engine
  • Economics
  • Learning
  • Scheduled nightly and daily analysis
  • Feedback loops
  • Performance, cost and quality analysis
Investor milestoneCreate measurable feedback loops across usage, cost, quality and execution.
10–12 Months — Expand & Scale
  • Deeper AI Supervision
  • Expanded Texa AI Lab
  • Human + AI workflows
  • Advanced orchestration
  • Controlled improvement and platform scaling
Investor milestoneScale validated workflows with measurable quality and unit economics.
Continuous detection, analysis and controlled improvement. The foundation exists; this investment roadmap closes the gap to a scalable commercial system.
INTEGRATE → LAUNCH → LEARN → SCALE
MONTHS 7–9 · LEARNING ENGINE 16/24

Measure execution across usage, cost and quality.

Build and validate
  • Economics and learning systems
  • Scheduled daily and nightly analysis
  • Feedback loops across completed work
  • Performance, cost and quality analysis
Investor milestone
Create measurable feedback loops across usage, cost, quality and execution.

Continuous detection, analysis and controlled improvement. Changes are reviewed, measured and monitored.

Learning from service outcomes with governance and measurable controls.
MONTHS 10–12 · EXPAND & SCALE 17/24

Move from connected MVP to scalable service execution.

Expand
  • AI Supervision
  • Texa AI Lab
  • Human + AI workflows
  • Advanced orchestration
  • Platform scaling
  • Additional execution capabilities
Investor milestone
Move from a connected MVP into a scalable service-execution platform.

Expand proven workflows while tracking service quality, reliability and unit economics.

Expand the execution network without losing quality or operating control.
THE $500K · 12-MONTH RUNWAY 18/24

Fund the transition from founder-built foundation to commercial company.

$500,000
Raise · 12 months runway
Product & Engineering Team
45%
$225,000
AI Engineering + Infrastructure + Model/API Costs
20%
$100,000
Growth + Commercial Validation
20%
$100,000
Operations + Legal + Security + Compliance
10%
$50,000
Contingency / Strategic Reserve
5%
$25,000
TOTAL
100%
$500,000
45% · Team: backend/product, AI, mobile/web engineering, QA and technical execution.
20% · AI + infrastructure: APIs/models, orchestration, fallback, compute, storage, search, media and monitoring.
20% · Growth: acquisition experiments, providers, launch, partnerships, research, activation and conversion.
10% · Operations: legal structure, contracts, payment compliance, privacy, security, accounting and operations.
5% · Reserve: retain flexibility for unexpected costs; do not commit the entire round on day one.
Fund the commercial validation gap instead of presenting unproven traction as fact.
WHAT THE $500K BUYS 19/24

Not a start-from-zero build. A path to a functioning commercial platform.

  1. Complete the transaction loopConnect chat, agreement, payment, execution, delivery and supervision.
  2. Integrate existing componentsAI Fabric, Inputs, Systems, Outputs, Memory, Governance, Telemetry, Economics and Learning.
  3. Build the specialized teamMove from solo-founder development to production-grade engineering and operations.
  4. Launch commerciallyMove from technical/product validation toward paid usage.
  5. Establish marketplace economicsMeasure volume, take rate, provider economics, acquisition, repeat use, AI use and gross margins.
  6. Prepare the next financing milestoneBuild a record of measurable usage, economics and learning data.
The transaction loop
Chat
Agreement
Payment
Execution
Delivery
Supervision
Objective: a functioning commercial service-execution platform with measurable usage, economics and learning data.
The outcome is more than a better app: it is a measurable commercial execution system.
TEAM 20/24

A candid founder story. A clear next hire.

Founder · Solo founder today
Radhouane Alaaedeen KARBOUA
Electrical Engineer · Master's Degree · Approximately 5 years across site supervision, testing & commissioning, and engineering/design.
Flutter
UX/UI
AI-assisted development
AI agents
AI orchestration
Digital marketing
Product development
Business strategy
Today: the product and substantial architecture are founder-built.
What the round changes
Add specialized capability to make the foundation production-grade, reliable and commercially scalable.
Backend / product engineering
AI engineering
Mobile / web engineering
QA and technical execution
Infrastructure and security
Growth and commercial validation
Funding transition: Founder-built foundation → specialized production team.
Be clear about the solo-founder stage and what investment adds.
WHY TASKILI · WHY NOW 21/24

Three forces are converging around getting work done.

AI Capabilities
More tasks can now be executed through software and models.
Global Services
People and businesses can deliver work across borders.
Orchestration
The missing layer decides what should execute a need, how it should execute, and whether it delivered.
TaskiLi connects the need to the right capability, then follows execution through delivery.
TaskiLi sits at the intersection of AI capabilities, global human services and orchestration.
The opportunity is to connect available capabilities to verified outcomes.
THE ADVANTAGE 22/24

The potential advantage compounds through execution.

Users
Providers
Transactions
Agreements
Execution data
Quality signals
Data monitoring
Performance data
Learning
The platform can become more valuable as its execution network and quality data accumulate.
A compounding thesis based on execution evidence, not an uncopyable idea.
THE INVESTMENT THESIS 23/24

Why invest now?

01
Wide vision
Connect people to human, AI and eventually software capabilities.
02
Existing foundation
Substantial product and architecture already built by the founder.
03
Expansion paths
Human services → AI → Human + AI → projects → software capabilities.
04
Clear monetization
15% transaction fee, AI monetization, then execution and platform revenue.
05
Identifiable risk
Commercial validation is the key gap, not the ability to build a prototype.
06
Defined job for capital
12 months to integrate, launch commercially and measure validation.
$500K → 12 months → integrated product + commercial launch + measurable validation
Capital is tied to a specific operating plan and measurable next-stage proof.
TASKILI AI 24/24

What if every need could become a completed result from one prompt?

TaskiLi AI

Human services. AI services. One execution layer.

ONE NEED
HUMAN + AI SERVICES
ONE EXECUTION LAYER
COMPLETED RESULT
Raising $500K to turn the existing foundation into a commercial, scalable platform.
TaskiLi AI · Human services · AI services · One execution layer
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