Pricing and engagement models

clients supported

120

projects and pilots executed

years in AI services

Transform business workflows with AI-driven software

Use a scenario-driven approach to identify highest-impact AI opportunities. We map use cases, run pilots, and integrate models into existing systems with clear milestones and measurable KPIs.

Quality-driven engineering

Fast pilot timelines

Modern ML stack

Operational support options

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Why start with scenarios

Starting with a specific scenario reduces execution risk and clarifies the value path. leaditne prefers scenario selection that maps directly to operational pain points—inventory planning, maintenance scheduling, or support triage—so outcomes can be measured against existing KPIs.

Practical sequencing

Our sequencing emphasizes data readiness and human oversight. Teams adopting this approach typically see faster learning cycles and fewer disruptive changes to operations.

Case-based work lets stakeholders validate assumptions early and iterate on the most important variables without large upfront commitments.

Explore scenario examples

How we run a pilot

Pilots follow a repeatable checklist to limit scope and increase clarity. Typical pilot steps include:

Data audit

Quick assessment of sources, quality, and availability to scope the feasible model approaches.

Model prototyping

Lightweight models and baseline metrics to validate signal before integration.

Operational integration

APIs, dashboards, and runbooks that make the pilot usable by operational teams.

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Engagement tiers for AI initiatives

Plans are designed to support a staged approach: pilot, integrate, and scale. Each plan includes a defined set of deliverables, timeline, and success criteria so you can make decisions based on observed outcomes.

Discovery Plan

starter assessment

1-2 weeks Data readiness and opportunity map

Ideal for businesses evaluating where AI can add operational value without heavy commitments.

Data inventory and maturity report
Prioritized pilot recommendations
High-level technical feasibility notes
Cost and timeline estimates
Workshop with stakeholders

Book discovery

Discovery engagements help decide the safest first pilot.

popular

Pilot Plan

proof of concept

6100

4-8 weeks THB

A focused pilot to validate model performance and business impact in a controlled environment.

Model prototype and validation
Integration adapter and demo dashboard
Acceptance criteria and rollout plan
Knowledge transfer and runbook
Case-driven onboarding: one practical integration scenario with step-by-step milestones and expected resource allocation for the first 90 days.

Select Basic Plan

Best for pilot projects and proof-of-concept AI integrations with clearly defined scope and limited data sets.

Pro Plan — AI Productization

Recommended for scaling

7100

monthly THB

Includes extended support windows and regular model performance reviews based on real usage scenarios.

End-to-end AI software development with production deployment and monitoring.
Custom data pipelines and secure integrations with existing business systems.
Monthly model retraining cadence and performance tuning guided by usage cases.
Operational playbooks and runbooks for incident response and model drift handling.
Case study workshop: review of a delivered use case from requirements to KPIs with lessons learned.

Choose Pro Plan

Designed for organizations moving from pilot to production with measurable KPIs and integration complexity.