🛠️ Lead Qualification Software for Professional Services

We build lead qualification software
for professional services firms.

TailyX AI is a Singapore-based software company. We build proprietary technology that qualifies and prioritises inbound enquiries for law firms, accountants, consultants, and other professional services businesses — so lean teams respond faster to high-value leads without needing a CRM or sales function.

Based in: Singapore  ·  Stage: Beta  ·  Founded: 2024  ·  ICP: Professional Services
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📖Our Story

From Research Agents to Lead Qualification

How we found our focus by building, learning, and narrowing down.

2024
AI Research Agents
We started by building AI agents that could perform industry research, competitive analysis, and strategy synthesis. The technology worked — we could generate comprehensive reports on markets, competitors, and opportunities automatically.
Early 2025
The Pivot Decision
We learned that engagement doesn't equal willingness to pay. Our research tools were impressive but lacked a clear buyer. We decided to niche down — applying our data enrichment and AI capabilities to a specific, painful problem with measurable ROI.
2025 — Now
TailyX: Proprietary Lead Qualification
We combined our research and enrichment capabilities with a new proprietary widget and scoring system. The result: a platform that captures high-intent visitors, scores them in real-time, and tells professional services firms exactly who to call first.

Technical Architecture

Three proprietary software components that we design, build, and maintain in-house.

⚙️

FlowResolver Engine

Server-side engine that owns step sequencing and qualification logic. The widget is a thin client — FlowResolver controls the flow configuration and step ordering.

✓Configurable step sequencing per company
✓Centralised delay and pacing logic
✓Progressive contact form staging (email first, phone after value)
✓Intent-aware flow configuration
🎯

LeadScoringProfile System

Company-level scoring configuration that ensures consistent qualification across all inbound surfaces. Scoring weights, thresholds, and tier rules live here — never in the widget layer.

✓BANT-based scoring (Budget, Authority, Need, Timeline)
✓Configurable score bands (Hot/Warm/Lukewarm/Cold)
✓Per-company threshold customisation
✓Single source of truth for scoring canon
🧩

Dual-Mode Widget Runtime

One widget codebase powers both live capture and admin preview, with strict isolation. Immutable version snapshots ensure live widgets reflect intentional changes only.

✓Live mode: persists leads, triggers automations
✓Preview mode: simulates without side effects
✓Immutable WidgetVersion snapshots
✓One-line embed installation

Built With

Our infrastructure is optimised for cloud-native deployment and GPU-accelerated AI workloads, leveraging industry-standard tools and trusted technology partners.

Core Platform
💎 Ruby on Rails — backend application framework
🐘 PostgreSQL — primary relational database
⚡ Redis — caching, queues, and real-time workloads
🌐 Stimulus.js — lightweight, reactive UI interactions
AI, Data & Intelligence
🐍 Python — data processing, ML pipelines, and automation
🔥 PyTorch — deep learning and model training
📈 MLflow — experiment tracking, model versioning, and lifecycle management
🧠 Vector Database — semantic search, embeddings, and retrieval-augmented workflows
🧩 Large Language Models (LLMs) — natural language understanding, generation, and reasoning
🕸️ Agentic AI Systems — tool-using, multi-step reasoning, and autonomous workflow orchestration
🤖 NVIDIA GPUs — hardware acceleration for AI and compute-intensive workloads
Infrastructure & DevOps
☸️ Kubernetes — container orchestration and scalable deployments
🐳 Docker — containerized services and reproducible environments
🚀Current Stage

TailyX AI is currently in private beta, running pilot programs with early customers in Singapore. We are validating pricing, refining workflows, and hardening integrations before broader launch.

Our immediate focus: reliability and clear ROI — faster response times, better lead prioritisation, and measurable reduction in missed high-value enquiries.

Program partners: NVIDIA Inception, Google Cloud for Startups

Founding Team

Three founders covering product, engineering, and go-to-market from day one.

Michael Thomas LinkedIn

CEO & Co-Founder

Michael comes from a background in Investment Banking, Big 4 Auditing, and the International Accounting Standards Board. He is a Chartered Accountant (CA(SA)) and is entitled to use the Chartered Financial Analyst designation. He is also a full-stack developer focused on practical AI products, and is completing a part-time MSc in Machine Learning & AI.

Gaethan Legrand LinkedIn

CTO & Co-Founder

Gaethan is a Software Engineer focused on Machine Learning Operations, with experience building AI-driven systems, robust data platforms, and scalable product architecture in production environments.

Erik Sim LinkedIn

CMO & Co-Founder

Erik is experienced in managing full sales cycle responsibilities at startups providing solutions to MNCs and Government. With a focus on integration into existing solutions architecture, he ensures that new solutions maximise efficiency with minimum friction.

🏢Company Information

Legal entity: Discover Up LLP
Trading as: TailyX AI
Headquarters: Singapore
Founded: 2024

Our Vision

No company should lose a high-value opportunity simply because they replied too late or without context. We're building software that gives lean teams the response speed of a dedicated sales function — automatically.

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