Overview

Quest is building the future of on-demand services with AI. Our AI-powered agent acts as a concierge, seamlessly connecting users to the right service providers while reducing friction in task posting, matching, and negotiation. With a focus on errands and odd jobs as our initial wedge, we are solving the inefficiencies of traditional marketplaces by making service fulfillment instant and effortless.

The Problem

Horizontal marketplaces have always attempted to serve diverse service categories, but they face 3 significant challenges:

1. Inefficient Matching – Diverse services make precise, instant matching difficult, resulting in user frustration.
2. Misaligned Pricing – Underpriced tasks go unfulfilled, frustrating users and providers, while overpriced tasks might attract low-quality offers.
3. High Usability Barriers – Users must navigate complex interfaces, write detailed posts, and wait for responses, leading to drop-offs and incomplete tasks.

These barriers prevent horizontal platforms from achieving the seamless, intuitive experiences users expect in today’s on-demand economy. Therefore preventing these platforms from unlocking the vast potential of long-tail markets.

Our Solution

Quest is redefining the horizontal model with AI:

• Delivers Instant Matching: Leveraging multimodal gen AI to evaluate skills, live locations, availability, and preferences for precision-driven matching.
• Seamless Usability: AI assistant integration enables conversational task posting on messaging platforms, reducing barriers to entry.
• Optimises Usability: AI assistant reduces cancellations, increases repetition, and increases task completions by personalising recommendations and streamlining user journeys.

• Price Intelligence: Quest uses AI to guide pricing, ensuring tasks are completed efficiently:

  • Minimum Price Enforcement: Certain categories or keywords (e.g., deep cleaning, logo design) require a baseline price to attract quality offers.

  • Price Recommendations: Based on historical data and real-time demand, Quest suggests optimal price ranges to users. 

  • Dynamic Price Adjustments: Prices adapt based on provider availability, urgency, and demand. 

We are transforming how horizontal platforms operate by addressing the challenges of usability and matching that have historically hindered traditional models.

Top Categories

Quest thrives in long-tail service categories where traditional models fail to meet instant, tailored needs:

1. Errands: Overseas errands, queuing, and personal errands.
2. Creative Services & UGC talents: UGC creators, actors, graphic design, video editing, and writing.
3. Home Services: Cleaning, handyman, repairs, and maintenance.
4. Events: F&B, part-time, and event setup.
5. Teaching: Language lessons, skill development, and tutoring.

These categories represent high-frequency, bespoke, recurring needs and untapped demand, offering a significant opportunity for growth.

Traction

• 300,000+ users in Singapore, growing steadily.
• 80,000+ tasks posted, 70% of which could not be solved elsewhere demonstrating the market need for a long-tail service platform
• Revenue-Generating: Earning 15% from every transaction with improving unit economics.
• Early AI features boosted task completions by 30% and reduced cancellations by 90%.
• Positioned to scale across high-growth markets like Singapore, APAC, and the US.

Market Opportunity

The global gig economy is valued at $1T, with a large portion driven by service-based marketplaces. While vertical platforms have addressed specific categories, the horizontal model remains an untapped goldmine due to its complexity and limitations, until today.

By solving the limitations of traditional horizontal models, Quest is positioned to dominate this space. Our initial focus on high-growth regions like Singapore, APAC, and the US provides a clear path to scale toward $100M+ revenue within the next 5-10 years.

Competition

While competitors like Grab, Deliveroo, Fiverr, TaskRabbit, and Thumbtack either serve specific niches or attempt to serve broad categories, they struggle with the following limitations:

• Narrow Scope: Vertical models are limited to specific service categories and cannot scale horizontally.
• Limited Usability: Users often face friction when posting tasks, vetting, and managing service providers, leading to drop-offs.
• Delayed Matching: Most platforms cannot deliver instant, precise matches.
• Uninformed Pricing: Users guess how much to pay, leading to prices too low to attract offers or too high to ensure fairness.

Why us:

• AI-Powered Matching & Pricing: Instant and precise pairing of users and service providers, outperforming traditional models.
• Long-Tail Scope: Efficiently captures underserved, diverse service categories, creating new opportunities.
• Conversational AI Integration: Messaging-based task posting significantly reduces user effort, enhancing accessibility.

Unlike traditional marketplaces, Quest’s AI agent removes friction, reduces decision fatigue, and ensures reliable service fulfillment. By automating the matching and negotiation process, we differentiate ourselves from generic job boards and unreliable gig platforms.

Marketing & Growth

By offering an infinite range of services, often these services are considered remarkable – services that people can’t find elsewhere or are just really useful.

Content marketing: Leveraging on Lemon8, TikTok, Reddit to inspire new users.

Word-of-mouth: People love to share about remarkable things, driving a powerful network effect.

Viral Ads: Leveraging on popular content, we amplify these content by running ads on Meta and TikTok.

Partnerships: Collaborating with businesses to pre-offer fixed packages in popular service categories.

A repeatable and scalable flywheel drives quest’s growth.

Team

Evan Chow, CEO

• Spearheaded the growth strategy and ran experiments scaling to 300,000+ users.
• Background in marketing, finance, and operations.

Craig Choy, CTO

• Full-stack developer that built the Quest app from the ground up.
• Expertise in AI integration and platform scalability.

Matthew Wu, CPO

• Designed the Quest app ranked #1 in app stores in 2024.
• Background in machine learning, product management, and data science.

We spent the last 3 years testing different business models, learning from our users, and learning how to scale a horizontal platform that works. There is no better team than us to tackle these challenges.

Fundraising Opportunity

Quest is raising USD 700,000 to scale operations, deepen AI capabilities, and expand into key markets. We’re just getting started! 

Be part of shaping the future of work and unlocking the untapped potential of the long tail.

We’re raising on SAFEs with a post-money valuation cap of USD 7.7M. We will first be raising a $200K round with angel investors as part of the $700K seed round.

Min. check size required for angels: $50k

Access our deck here

Next steps:

If this interests you and you would love to be part of our journey, do contact me via evan@quest-inc.co or WhatsApp me @ +6596527397! I would love to chat with you further 🙂