Lamatic 3.0 vs Ninjō AI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Lamatic 3.0 and Ninjō AI — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Lamatic 3.0

Lamatic AI

Freemium

Platform to build, deploy, and optimize agentic apps using pre-built workflows, a visual builder, and serverless infrastructure.

Pre-built Workflows: Ready-made agentic workflow components that accelerate building domain-specific apps and reduce time-to-first-deploy by providing common patterns and connectors.
Visual Builder: A drag-and-drop visual interface to design and compose agent behaviors and orchestration without heavy engineering, enabling faster iteration and collaboration with non-developers.
Serverless Infrastructure: Managed, serverless hosting for agentic apps that abstracts infrastructure management, enabling automatic scaling and simplified deployment.
Domain Expertise Capture: Tools and templates to encode domain knowledge into reliable agent behaviors and workflows, helping teams turn subject-matter expertise into production agents.
Rapid Launch Templates: Opinionated templates and starter apps that allow teams to launch agentic applications up to 10x faster compared to building from scratch.
Operational Optimization: Built-in capabilities to monitor, refine, and optimize deployed agents to improve reliability and performance over time.
Visual workflow and app builder for designing agentic logic
Pre-built agentic workflows to accelerate development
Serverless infrastructure for deployment and scaling
Tools for launching and iterating agentic applications quickly
Focus on domain-expert-driven app creation

Converting internal subject-matter expertise into an automated agent that answers employee questions or triages requests.
Building customer-facing virtual assistants using pre-built workflows and visual composition to reduce support load.
Deploying domain-specific automation for sales or operations that integrates with existing systems and scales via serverless hosting.
Rapidly prototyping and launching proof-of-concept agentic apps for new business workflows using starter templates.
Iterating on deployed agents with monitoring and optimization tools to improve accuracy and reliability in production.
Convert domain expertise into deployed agentic applications
Rapidly prototype and launch autonomous workflows
Deploy serverless agent-based services without managing infrastructure
Automate business processes using pre-built agent workflows

Ninjo

Freemium

Infrastructure for AI sales agents on Instagram, WhatsApp and other DM channels, built and improved by talking to an LLM over MCP.

MCP Server Control Surface: Exposes agent creation, testing, analysis and improvement as MCP tools, so Claude, Claude Code, Codex or ChatGPT becomes the interface instead of a dashboard.
Cortex Playbook Library: Ships prompt templates, KPI rubrics and anti-patterns distilled from agents that ran in production, so a new agent inherits patterns that already converted rather than starting blank.
Multi-Channel DM Deployment: Connects agents to Instagram, WhatsApp and other direct-message channels where the selling actually happens, without a separate build per channel.
Versioned Changes with Rollback: Every edit to an agent is versioned and instantly reversible, so a bad prompt change during a live launch can be undone rather than debugged under pressure.
Synthetic Conversation Testing: Runs an agent against generated conversations before it reaches a real inbox, surfacing broken qualification logic ahead of launch.
Follow-Ups and Keyword Triggers: Fires scheduled follow-up sequences and keyword-based branches so stalled conversations get reopened automatically.
Built-In CRM and Funnel Analytics: Ninjo Studio provides real-time conversation views, contact records and funnel reporting in one panel for when you want direct oversight.
Payment Recovery Flows: Agents can chase declined payments conversation by conversation, a pattern the team credits for recovering 47 declined payments in a single four-day launch.

Creator and Coach Launches: Running a short high-volume launch where an agent qualifies inbound DMs, handles objections and sends payment links at a pace a human team cannot match.
Instagram Lead Qualification: Filtering hundreds of daily inbound Instagram messages down to the prospects worth a human sales call.
WhatsApp Sales Follow-Up: Reopening conversations that went quiet with timed follow-up sequences instead of leaving them to decay.
Agency Multi-Client Operations: Managing many client agents from a chat interface so a three or four person team can operate over a hundred agents.
Declined Payment Recovery: Having an agent work through failed transactions individually to recover revenue that would otherwise be written off.
Rapid Agent Iteration: Rewriting an agent's qualification logic mid-campaign and rolling back immediately if conversion drops.